Model parameters: d_model 1792 ffw_size 7168 kv_size 128 n_heads 14 n_layers 26 Megatron-DeepSpeed/pretrain_gpt.py --tensor-model-parallel-size 1 --pipeline-model-parallel-size 1 --num-layers 26 --hidden-size 1792 --num-attention-heads 14 --kv-channels 128 --ffn-hidden-size 7168 --seq-length 2048 --max-position-embeddings 2048 --micro-batch-size 1 --global-batch-size 256 --train-samples 5_936_416 --vocab-file gpt2/vocab.json --merge-file gpt2/merges.txt --clip-grad 1.0 --kill-switch-path kill-switch-1b112b400m --bf16 --optimizer adam --adam-beta1 0.9 --adam-beta2 0.999 --adam-eps 1e-8 --lr 2e-4 --min-lr 2e-5 --lr-decay-style cosine --lr-decay-samples 5_936_416 --lr-warmup-samples 59_364 --clip-grad 1.0 --weight-decay 1e-1 --log-interval 10 --save-interval 10000 --eval-interval 10000 --eval-iters 1 --tensorboard-dir tensorboard_1b112b400m --tensorboard-queue-size 5 --log-timers-to-tensorboard --log-batch-size-to-tensorboard --log-validation-ppl-to-tensorboard --save checkpoints_1b112b400m --load checkpoints_1b112b400m --train-weighted-split-paths-path train400m.txt --valid-weighted-split-paths-path val.txt --data-impl mmap --deepspeed --deepspeed_config ds_configs/3318380.json --zero-stage 0 START 3318380: Wed 15 Mar 2023 09:53:10 PM EET 0: 0: 0: ======================= ROCm System Management Interface ======================= 0: ================================= Concise Info ================================= 0: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 0: 0 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 2 39.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 4 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: 6 39.0c 84.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 0: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 0: ================================================================================ 0: ============================= End of ROCm SMI Log ============================== 31: 31: 31: ======================= ROCm System Management Interface ======================= 31: ================================= Concise Info ================================= 31: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 31: 0 47.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 2 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 4 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: 6 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 31: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 31: ================================================================================ 31: ============================= End of ROCm SMI Log ============================== 9: 9: 9: ======================= ROCm System Management Interface ======================= 9: ================================= Concise Info ================================= 9: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 9: 0 45.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 2 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 4 49.0c 99.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: 6 42.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 9: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 9: ================================================================================ 9: ============================= End of ROCm SMI Log ============================== 24: 24: 24: ======================= ROCm System Management Interface ======================= 24: ================================= Concise Info ================================= 24: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 24: 0 49.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 2 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 4 46.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: 6 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 24: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 24: ================================================================================ 24: ============================= End of ROCm SMI Log ============================== 19: 19: 19: ======================= ROCm System Management Interface ======================= 19: ================================= Concise Info ================================= 19: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 19: 0 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 2 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 4 48.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 5 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: 6 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 19: 7 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 19: ================================================================================ 19: ============================= End of ROCm SMI Log ============================== 20: 20: 20: ======================= ROCm System Management Interface ======================= 20: ================================= Concise Info ================================= 20: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 20: 0 44.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 2 44.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 4 44.0c 83.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: 6 39.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 20: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 20: ================================================================================ 20: ============================= End of ROCm SMI Log ============================== 12: 12: 12: ======================= ROCm System Management Interface ======================= 12: ================================= Concise Info ================================= 12: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 12: 0 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 2 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 4 45.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: 6 45.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 12: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 12: ================================================================================ 12: ============================= End of ROCm SMI Log ============================== 1: 1: 1: ======================= ROCm System Management Interface ======================= 1: ================================= Concise Info ================================= 1: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 1: 0 40.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 2 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 4 47.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: 6 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 1: 7 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 1: ================================================================================ 1: ============================= End of ROCm SMI Log ============================== 13: 13: 13: ======================= ROCm System Management Interface ======================= 13: ================================= Concise Info ================================= 13: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 13: 0 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 2 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 4 46.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: 6 42.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 13: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 13: ================================================================================ 13: ============================= End of ROCm SMI Log ============================== 10: 10: 10: ======================= ROCm System Management Interface ======================= 10: ================================= Concise Info ================================= 10: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 10: 0 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 2 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 4 45.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: 6 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 10: 7 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 10: ================================================================================ 10: ============================= End of ROCm SMI Log ============================== 28: 28: 28: ======================= ROCm System Management Interface ======================= 28: ================================= Concise Info ================================= 28: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 28: 0 47.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 2 37.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 4 50.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: 6 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 28: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 28: ================================================================================ 28: ============================= End of ROCm SMI Log ============================== 17: 17: 17: ======================= ROCm System Management Interface ======================= 17: ================================= Concise Info ================================= 17: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 17: 0 48.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 2 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 4 47.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: 6 43.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 17: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 17: ================================================================================ 17: ============================= End of ROCm SMI Log ============================== 30: 30: 30: ======================= ROCm System Management Interface ======================= 30: ================================= Concise Info ================================= 30: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 30: 0 44.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 2 42.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 4 46.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: 6 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 30: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 30: ================================================================================ 30: ============================= End of ROCm SMI Log ============================== 23: 23: 23: ======================= ROCm System Management Interface ======================= 23: ================================= Concise Info ================================= 23: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 23: 0 40.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 1 50.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 2 48.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 4 47.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: 6 43.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 23: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 23: ================================================================================ 23: ============================= End of ROCm SMI Log ============================== 15: 15: 15: ======================= ROCm System Management Interface ======================= 15: ================================= Concise Info ================================= 15: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 15: 0 42.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 2 42.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 3 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 4 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: 6 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 15: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 15: ================================================================================ 15: ============================= End of ROCm SMI Log ============================== 18: 18: 18: ======================= ROCm System Management Interface ======================= 18: ================================= Concise Info ================================= 18: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 18: 0 39.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 2 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 4 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 5 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: 6 41.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 18: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 18: ================================================================================ 18: ============================= End of ROCm SMI Log ============================== 4: 4: 4: ======================= ROCm System Management Interface ======================= 4: ================================= Concise Info ================================= 4: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 4: 0 44.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 1 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 2 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 4 43.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: 6 44.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 4: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 4: ================================================================================ 4: ============================= End of ROCm SMI Log ============================== 5: 5: 5: ======================= ROCm System Management Interface ======================= 5: ================================= Concise Info ================================= 5: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 5: 0 46.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 2 43.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 3 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 4 45.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: 6 46.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 5: 7 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 5: ================================================================================ 5: ============================= End of ROCm SMI Log ============================== 8: 8: 8: ======================= ROCm System Management Interface ======================= 8: ================================= Concise Info ================================= 8: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 8: 0 44.0c 96.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 2 38.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 4 46.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: 6 44.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 8: 7 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 8: ================================================================================ 8: ============================= End of ROCm SMI Log ============================== 14: 14: 14: ======================= ROCm System Management Interface ======================= 14: ================================= Concise Info ================================= 14: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 14: 0 46.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 2 43.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 3 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 4 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: 6 46.0c 85.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 14: 7 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 14: ================================================================================ 14: ============================= End of ROCm SMI Log ============================== 16: 16: 16: ======================= ROCm System Management Interface ======================= 16: ================================= Concise Info ================================= 16: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 16: 0 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 2 46.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 4 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 5 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: 6 40.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 16: 7 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 16: ================================================================================ 16: ============================= End of ROCm SMI Log ============================== 26: 26: 26: ======================= ROCm System Management Interface ======================= 26: ================================= Concise Info ================================= 26: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 26: 0 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 1 42.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 2 41.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 4 42.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 5 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: 6 46.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 26: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 26: ================================================================================ 26: ============================= End of ROCm SMI Log ============================== 2: 2: 2: ======================= ROCm System Management Interface ======================= 2: ================================= Concise Info ================================= 2: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 2: 0 48.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 2 42.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 4 41.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: 6 44.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 2: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 2: ================================================================================ 2: ============================= End of ROCm SMI Log ============================== 3: 3: 3: ======================= ROCm System Management Interface ======================= 3: ================================= Concise Info ================================= 3: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 3: 0 49.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 1 51.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 2 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 3 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 4 50.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: 6 42.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 3: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 3: ================================================================================ 3: ============================= End of ROCm SMI Log ============================== 27: 27: 27: ======================= ROCm System Management Interface ======================= 27: ================================= Concise Info ================================= 27: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 27: 0 45.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 1 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 2 47.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 4 47.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: 6 41.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 27: 7 39.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 27: ================================================================================ 27: ============================= End of ROCm SMI Log ============================== 29: 29: 29: ======================= ROCm System Management Interface ======================= 29: ================================= Concise Info ================================= 29: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 29: 0 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 1 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 2 40.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 4 46.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: 6 45.0c 86.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 29: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 29: ================================================================================ 29: ============================= End of ROCm SMI Log ============================== 21: 21: 21: ======================= ROCm System Management Interface ======================= 21: ================================= Concise Info ================================= 21: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 21: 0 42.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 2 39.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 3 40.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 4 47.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 5 47.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: 6 44.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 21: 7 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 21: ================================================================================ 21: ============================= End of ROCm SMI Log ============================== 22: 22: 22: ======================= ROCm System Management Interface ======================= 22: ================================= Concise Info ================================= 22: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 22: 0 43.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 1 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 2 43.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 3 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 4 42.0c 97.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 5 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: 6 43.0c 82.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 22: 7 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 22: ================================================================================ 22: ============================= End of ROCm SMI Log ============================== 6: 6: 6: ======================= ROCm System Management Interface ======================= 6: ================================= Concise Info ================================= 6: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 6: 0 46.0c 93.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 1 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 2 38.0c 90.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 3 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 4 47.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 5 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: 6 41.0c 95.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 6: 7 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 6: ================================================================================ 6: ============================= End of ROCm SMI Log ============================== 11: 11: 11: ======================= ROCm System Management Interface ======================= 11: ================================= Concise Info ================================= 11: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 11: 0 49.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 1 45.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 2 47.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 3 44.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 4 50.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 5 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: 6 34.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 11: 7 41.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 11: ================================================================================ 11: ============================= End of ROCm SMI Log ============================== 25: 25: 25: ======================= ROCm System Management Interface ======================= 25: ================================= Concise Info ================================= 25: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 25: 0 44.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 1 49.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 2 43.0c 92.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 3 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 4 45.0c 88.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: 6 44.0c 98.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 25: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 25: ================================================================================ 25: ============================= End of ROCm SMI Log ============================== 7: 7: 7: ======================= ROCm System Management Interface ======================= 7: ================================= Concise Info ================================= 7: GPU Temp AvgPwr SCLK MCLK Fan Perf PwrCap VRAM% GPU% 7: 0 43.0c 87.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 1 53.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 2 45.0c 89.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 3 46.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 4 44.0c 91.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 5 48.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: 6 44.0c 94.0W 800Mhz 1600Mhz 0% auto 560.0W 0% 0% 7: 7 43.0c N/A 800Mhz 1600Mhz 0% auto 0.0W 0% 0% 7: ================================================================================ 7: ============================= End of ROCm SMI Log ============================== 30: Launching on nid006910 (30/32), master nid006880 port 9999, GPUs 8, CUDA: True 21: Launching on nid006901 (21/32), master nid006880 port 9999, GPUs 8, CUDA: True 22: Launching on nid006902 (22/32), master nid006880 port 9999, GPUs 8, CUDA: True 29: Launching on nid006909 (29/32), master nid006880 port 9999, GPUs 8, CUDA: True 18: Launching on nid006898 (18/32), master nid006880 port 9999, GPUs 8, CUDA: True 5: Launching on nid006885 (5/32), master nid006880 port 9999, GPUs 8, CUDA: True 20: Launching on nid006900 (20/32), master nid006880 port 9999, GPUs 8, CUDA: True 2: Launching on nid006882 (2/32), master nid006880 port 9999, GPUs 8, CUDA: True 24: Launching on nid006904 (24/32), master nid006880 port 9999, GPUs 8, CUDA: True 31: Launching on nid006911 (31/32), master nid006880 port 9999, GPUs 8, CUDA: True 16: Launching on nid006896 (16/32), master nid006880 port 9999, GPUs 8, CUDA: True 11: Launching on nid006891 (11/32), master nid006880 port 9999, GPUs 8, CUDA: True 3: Launching on nid006883 (3/32), master nid006880 port 9999, GPUs 8, CUDA: True 15: Launching on nid006895 (15/32), master nid006880 port 9999, GPUs 8, CUDA: True 17: Launching on nid006897 (17/32), master nid006880 port 9999, GPUs 8, CUDA: True 4: Launching on nid006884 (4/32), master nid006880 port 9999, GPUs 8, CUDA: True 19: Launching on nid006899 (19/32), master nid006880 port 9999, GPUs 8, CUDA: True 13: Launching on nid006893 (13/32), master nid006880 port 9999, GPUs 8, CUDA: True 23: Launching on nid006903 (23/32), master nid006880 port 9999, GPUs 8, CUDA: True 9: Launching on nid006889 (9/32), master nid006880 port 9999, GPUs 8, CUDA: True 28: Launching on nid006908 (28/32), master nid006880 port 9999, GPUs 8, CUDA: True 1: Launching on nid006881 (1/32), master nid006880 port 9999, GPUs 8, CUDA: True 25: Launching on nid006905 (25/32), master nid006880 port 9999, GPUs 8, CUDA: True 27: Launching on nid006907 (27/32), master nid006880 port 9999, GPUs 8, CUDA: True 10: Launching on nid006890 (10/32), master nid006880 port 9999, GPUs 8, CUDA: True 7: Launching on nid006887 (7/32), master nid006880 port 9999, GPUs 8, CUDA: True 6: Launching on nid006886 (6/32), master nid006880 port 9999, GPUs 8, CUDA: True 8: Launching on nid006888 (8/32), master nid006880 port 9999, GPUs 8, CUDA: True 14: Launching on nid006894 (14/32), master nid006880 port 9999, GPUs 8, CUDA: True 12: Launching on nid006892 (12/32), master nid006880 port 9999, GPUs 8, CUDA: True 0: Launching on nid006880 (0/32), master nid006880 port 9999, GPUs 8, CUDA: True 26: Launching on nid006906 (26/32), master nid006880 port 9999, GPUs 8, CUDA: True 31: > setting tensorboard ... 0: using world size: 256, data-parallel-size: 256, tensor-model-parallel size: 1, pipeline-model-parallel size: 1 0: accumulate and all-reduce gradients in fp32 for bfloat16 data type. 0: using torch.bfloat16 for parameters ... 0: ------------------------ arguments ------------------------ 0: abort_on_unmet_fused_kernel_constraints ......... False 0: accumulate_allreduce_grads_in_fp32 .............. True 0: adam_beta1 ...................................... 0.9 0: adam_beta2 ...................................... 0.999 0: adam_eps ........................................ 1e-08 0: adlr_autoresume ................................. False 0: adlr_autoresume_interval ........................ 1000 0: apply_query_key_layer_scaling ................... True 0: apply_residual_connection_post_layernorm ........ False 0: attention_dropout ............................... 0.1 0: attention_softmax_in_fp32 ....................... False 0: bert_binary_head ................................ True 0: bert_load ....................................... None 0: bf16 ............................................ True 0: bias_dropout_fusion ............................. True 0: bias_gelu_fusion ................................ True 0: biencoder_projection_dim ........................ 0 0: biencoder_shared_query_context_model ............ False 0: block_data_path ................................. None 0: checkpoint_activations .......................... False 0: checkpoint_in_cpu ............................... False 0: checkpoint_num_layers ........................... 1 0: clip_grad ....................................... 1.0 0: codecarbon_dir .................................. None 0: consumed_train_samples .......................... 0 0: consumed_train_tokens ........................... 0 0: consumed_valid_samples .......................... 0 0: contigious_checkpointing ........................ False 0: cpu_optimizer ................................... False 0: cpu_torch_adam .................................. False 0: curriculum_learning ............................. False 0: data_impl ....................................... mmap 0: data_parallel_size .............................. 256 0: data_path ....................................... None 0: dataloader_type ................................. single 0: DDP_impl ........................................ local 0: decoder_seq_length .............................. None 0: deepscale ....................................... False 0: deepscale_config ................................ None 0: deepspeed ....................................... True 0: deepspeed_activation_checkpointing .............. False 0: deepspeed_config ................................ ds_configs/3318380.json 0: deepspeed_mpi ................................... False 0: distribute_checkpointed_activations ............. False 0: distributed_backend ............................. nccl 0: embed_layernorm ................................. False 0: embedding_path .................................. None 0: encoder_seq_length .............................. 2048 0: eod_mask_loss ................................... False 0: eval_interval ................................... 10000 0: eval_iters ...................................... 1 0: eval_only ....................................... None 0: evidence_data_path .............................. None 0: exit_duration_in_mins ........................... None 0: exit_interval ................................... None 0: ffn_hidden_size ................................. 7168 0: finetune ........................................ False 0: fp16 ............................................ False 0: fp16_lm_cross_entropy ........................... False 0: fp32_residual_connection ........................ False 0: gigaflos_no_embeds .............................. 0 0: global_batch_size ............................... 256 0: glu_activation .................................. None 0: hidden_dropout .................................. 0.1 0: hidden_size ..................................... 1792 0: hysteresis ...................................... 2 0: ict_head_size ................................... None 0: ict_load ........................................ None 0: img_dim ......................................... 224 0: indexer_batch_size .............................. 128 0: indexer_log_interval ............................ 1000 0: inference ....................................... False 0: init_method_std ................................. 0.02 0: init_method_xavier_uniform ...................... False 0: initial_loss_scale .............................. 4294967296 0: kill_switch_path ................................ kill-switch-1b112b400m 0: kv_channels ..................................... 128 0: layer_norm_fusion ............................... True 0: layernorm_epsilon ............................... 1e-05 0: lazy_mpu_init ................................... None 0: load ............................................ checkpoints_1b112b400m 0: local_rank ...................................... None 0: log_batch_size_to_tensorboard ................... True 0: log_interval .................................... 10 0: log_learning_rate_to_tensorboard ................ True 0: log_level ....................................... None 0: log_level_replica ............................... None 0: log_loss_scale_to_tensorboard ................... True 0: log_num_zeros_in_grad ........................... False 0: log_params_norm ................................. False 0: log_path ........................................ None 0: log_timers_to_tensorboard ....................... True 0: log_validation_ppl_to_tensorboard ............... True 0: loss_on_targets_only ............................ False 0: loss_scale ...................................... None 0: loss_scale_window ............................... 1000 0: lr .............................................. 0.0002 0: lr_decay_iters .................................. None 0: lr_decay_samples ................................ 5936416 0: lr_decay_style .................................. cosine 0: lr_decay_tokens ................................. None 0: lr_warmup_fraction .............................. None 0: lr_warmup_iters ................................. 0 0: lr_warmup_samples ............................... 59364 0: make_vocab_size_divisible_by .................... 128 0: mask_prob ....................................... 0.15 0: masked_softmax_fusion ........................... True 0: max_position_embeddings ......................... 2048 0: mean_noise_span_length .......................... None 0: memory_centric_tiled_linear ..................... False 0: merge_file ...................................... gpt2/merges.txt 0: micro_batch_size ................................ 1 0: min_loss_scale .................................. 1.0 0: min_lr .......................................... 2e-05 0: mmap_warmup ..................................... False 0: no_load_optim ................................... None 0: no_load_rng ..................................... None 0: no_save_optim ................................... None 0: no_save_rng ..................................... None 0: noise_density ................................... None 0: num_attention_heads ............................. 14 0: num_channels .................................... 3 0: num_classes ..................................... 1000 0: num_layers ...................................... 26 0: num_layers_per_virtual_pipeline_stage ........... None 0: num_workers ..................................... 2 0: onnx_safe ....................................... None 0: openai_gelu ..................................... False 0: optimizer ....................................... adam 0: optimizer_fusion ................................ True 0: override_lr_scheduler ........................... False 0: pad_vocab_size_to ............................... None 0: params_dtype .................................... torch.bfloat16 0: partition_activations ........................... False 0: patch_dim ....................................... 16 0: pipeline_model_parallel_size .................... 1 0: position_embedding_type ......................... PositionEmbeddingType.absolute 0: pp_partition_method ............................. None 0: profile_backward ................................ False 0: query_in_block_prob ............................. 0.1 0: rampup_batch_size ............................... None 0: rank ............................................ 0 0: remote_device ................................... none 0: reset_attention_mask ............................ False 0: reset_position_ids .............................. False 0: reset_progress .................................. None 0: retriever_report_topk_accuracies ................ [] 0: retriever_score_scaling ......................... False 0: retriever_seq_length ............................ 256 0: reweight_loss_based_on_position_frequency ....... False 0: sample_rate ..................................... 1.0 0: save ............................................ checkpoints_1b112b400m 0: save_interval ................................... 10000 0: scatter_gather_tensors_in_pipeline .............. True 0: scattered_embeddings ............................ False 0: seed ............................................ 1234 0: seq_length ...................................... 2048 0: sgd_momentum .................................... 0.9 0: short_seq_prob .................................. 0.1 0: skip_train_iteration_range ...................... None 0: split ........................................... None 0: split_transformers .............................. False 0: sync_tp_duplicated_parameters ................... False 0: synchronize_each_layer .......................... False 0: tensor_model_parallel_size ...................... 1 0: tensorboard_dir ................................. tensorboard_1b112b400m 0: tensorboard_log_interval ........................ 1 0: tensorboard_queue_size .......................... 5 0: test_weighted_split_paths ....................... None 0: test_weighted_split_paths_path .................. None 0: tile_factor ..................................... 1 0: titles_data_path ................................ None 0: tokenizer_name_or_path .......................... None 0: tokenizer_type .................................. GPT2BPETokenizer 0: train_iters ..................................... None 0: train_samples ................................... 5936416 0: train_tokens .................................... None 0: train_weighted_split_names ...................... ['train'] 0: train_weighted_split_paths ...................... [['/scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_400M_text_document']] 0: train_weighted_split_paths_path ................. None 0: train_weighted_split_splits ..................... [['0:1']] 0: train_weighted_split_weights .................... [['1.0']] 0: universal_checkpoint ............................ False 0: use_bnb_optimizer ............................... False 0: use_checkpoint_lr_scheduler ..................... False 0: use_contiguous_buffers_in_ddp ................... True 0: use_cpu_initialization .......................... None 0: use_one_sent_docs ............................... False 0: use_pin_memory .................................. False 0: valid_num_workers ............................... 2 0: valid_weighted_split_names ...................... ['validation'] 0: valid_weighted_split_paths ...................... [['/scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document']] 0: valid_weighted_split_paths_path ................. None 0: valid_weighted_split_splits ..................... [['0:1']] 0: valid_weighted_split_weights .................... [['1.0']] 0: virtual_pipeline_model_parallel_size ............ None 0: vocab_extra_ids ................................. 0 0: vocab_file ...................................... gpt2/vocab.json 0: weight_decay .................................... 0.1 0: world_size ...................................... 256 0: zero_allgather_bucket_size ...................... 0.0 0: zero_contigious_gradients ....................... False 0: zero_reduce_bucket_size ......................... 0.0 0: zero_reduce_scatter ............................. False 0: zero_stage ...................................... 0 0: -------------------- end of arguments --------------------- 0: setting number of micro-batches to constant 1 0: > building GPT2BPETokenizer tokenizer ... 0: > padded vocab (size: 50257) with 47 dummy tokens (new size: 50304) 0: DeepSpeed general environment info: 0: torch install path ............... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch'] 0: torch version .................... 1.13.0+rocm5.2 0: torch cuda version ............... None 0: torch hip version ................ 5.2.21151-afdc89f8 0: nvcc version ..................... None 0: deepspeed install path ........... ['/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/deepspeed'] 0: deepspeed info ................... 0.7.5, unknown, unknown 0: deepspeed wheel compiled w. ...... torch 1.13, hip 5.1 0: **** Git info for Megatron: git_hash=unknown git_branch=unknown **** 0: > initializing torch distributed ... 0: [2023-03-15 21:53:52,611] [INFO] [comm.py:633:init_distributed] Initializing TorchBackend in DeepSpeed with backend nccl 0: > initializing tensor model parallel with size 1 0: > initializing pipeline model parallel with size 1 0: > setting random seeds to 1234 ... 0: > initializing model parallel cuda seeds on global rank 0, model parallel rank 0, and data parallel rank 0 with model parallel seed: 3952 and data parallel seed: 1234 0: > compiling dataset index builder ... 0: make: Entering directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: make: Nothing to be done for 'default'. 0: make: Leaving directory '/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/data' 0: >>> done with dataset index builder. Compilation time: 0.090 seconds 0: WARNING: constraints for invoking optimized fused softmax kernel are not met. We default back to unfused kernel invocations. 0: > compiling and loading fused kernels ... 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 87 0: ninja: no work to do. 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.cpp [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_cuda.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 63 0: [1/1] c++ scaled_masked_softmax_hip.cuda.o scaled_masked_softmax_hip.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o scaled_masked_softmax_cuda.so 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda.cpp [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_cuda_kernel.cu -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/layer_norm_hip_kernel.hip [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/type_shim.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/compat.h [skipped, no changes] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_upper_triang_masked_softmax_hip.h [skipped, already hipified] 0: /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax.h -> /pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/Megatron-DeepSpeed/megatron/fused_kernels/scaled_masked_softmax_hip.h [skipped, already hipified] 0: Total number of unsupported CUDA function calls: 0 0: 0: 0: Total number of replaced kernel launches: 67 0: [1/1] c++ layer_norm_cuda.o layer_norm_hip_kernel.cuda.o -shared -L/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/venv/lib/python3.9/site-packages/torch/lib -lc10 -lc10_hip -ltorch_cpu -ltorch_hip -ltorch -ltorch_python -L/pfs/lustrep2/projappl/project_462000125/samantao-public/rocm/rocm-5.2.3/lib -lamdhip64 -o fused_mix_prec_layer_norm_cuda.so 0: >>> done with compiling and loading fused kernels. Compilation time: 24.199 seconds 0: time to initialize megatron (seconds): -10.977 0: [after megatron is initialized] datetime: 2023-03-15 21:54:29 0: building GPT model ... 0: [2023-03-15 21:54:29,164] [INFO] [utils.py:827:see_memory_usage] Before Building Model 0: [2023-03-15 21:54:29,165] [INFO] [utils.py:828:see_memory_usage] MA 0.0 GB Max_MA 0.0 GB CA 0.0 GB Max_CA 0 GB 0: [2023-03-15 21:54:29,165] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.13 GB, percent = 6.2% 0: SEED_LAYERS=False BASE_SEED=1234 SEED_FN=None 0: Using topology: {ProcessCoord(pipe=0, data=0, model=0): 0, ProcessCoord(pipe=0, data=1, model=0): 1, ProcessCoord(pipe=0, data=2, model=0): 2, ProcessCoord(pipe=0, data=3, model=0): 3, ProcessCoord(pipe=0, data=4, model=0): 4, ProcessCoord(pipe=0, data=5, model=0): 5, ProcessCoord(pipe=0, data=6, model=0): 6, ProcessCoord(pipe=0, data=7, model=0): 7, ProcessCoord(pipe=0, data=8, model=0): 8, ProcessCoord(pipe=0, data=9, model=0): 9, ProcessCoord(pipe=0, data=10, model=0): 10, ProcessCoord(pipe=0, data=11, model=0): 11, ProcessCoord(pipe=0, data=12, model=0): 12, ProcessCoord(pipe=0, data=13, model=0): 13, ProcessCoord(pipe=0, data=14, model=0): 14, ProcessCoord(pipe=0, data=15, model=0): 15, ProcessCoord(pipe=0, data=16, model=0): 16, ProcessCoord(pipe=0, data=17, model=0): 17, ProcessCoord(pipe=0, data=18, model=0): 18, ProcessCoord(pipe=0, data=19, model=0): 19, ProcessCoord(pipe=0, data=20, model=0): 20, ProcessCoord(pipe=0, data=21, model=0): 21, ProcessCoord(pipe=0, data=22, model=0): 22, ProcessCoord(pi 0: pe=0, data=23, model=0): 23, ProcessCoord(pipe=0, data=24, model=0): 24, ProcessCoord(pipe=0, data=25, model=0): 25, ProcessCoord(pipe=0, data=26, model=0): 26, ProcessCoord(pipe=0, data=27, model=0): 27, ProcessCoord(pipe=0, data=28, model=0): 28, ProcessCoord(pipe=0, data=29, model=0): 29, ProcessCoord(pipe=0, data=30, model=0): 30, ProcessCoord(pipe=0, data=31, model=0): 31, ProcessCoord(pipe=0, data=32, model=0): 32, ProcessCoord(pipe=0, data=33, model=0): 33, ProcessCoord(pipe=0, data=34, model=0): 34, ProcessCoord(pipe=0, data=35, model=0): 35, ProcessCoord(pipe=0, data=36, model=0): 36, ProcessCoord(pipe=0, data=37, model=0): 37, ProcessCoord(pipe=0, data=38, model=0): 38, ProcessCoord(pipe=0, data=39, model=0): 39, ProcessCoord(pipe=0, data=40, model=0): 40, ProcessCoord(pipe=0, data=41, model=0): 41, ProcessCoord(pipe=0, data=42, model=0): 42, ProcessCoord(pipe=0, data=43, model=0): 43, ProcessCoord(pipe=0, data=44, model=0): 44, ProcessCoord(pipe=0, data=45, model=0): 45, ProcessCoord(pipe=0, data=4 0: 6, model=0): 46, ProcessCoord(pipe=0, data=47, model=0): 47, ProcessCoord(pipe=0, data=48, model=0): 48, ProcessCoord(pipe=0, data=49, model=0): 49, ProcessCoord(pipe=0, data=50, model=0): 50, ProcessCoord(pipe=0, data=51, model=0): 51, ProcessCoord(pipe=0, data=52, model=0): 52, ProcessCoord(pipe=0, data=53, model=0): 53, ProcessCoord(pipe=0, data=54, model=0): 54, ProcessCoord(pipe=0, data=55, model=0): 55, ProcessCoord(pipe=0, data=56, model=0): 56, ProcessCoord(pipe=0, data=57, model=0): 57, ProcessCoord(pipe=0, data=58, model=0): 58, ProcessCoord(pipe=0, data=59, model=0): 59, ProcessCoord(pipe=0, data=60, model=0): 60, ProcessCoord(pipe=0, data=61, model=0): 61, ProcessCoord(pipe=0, data=62, model=0): 62, ProcessCoord(pipe=0, data=63, model=0): 63, ProcessCoord(pipe=0, data=64, model=0): 64, ProcessCoord(pipe=0, data=65, model=0): 65, ProcessCoord(pipe=0, data=66, model=0): 66, ProcessCoord(pipe=0, data=67, model=0): 67, ProcessCoord(pipe=0, data=68, model=0): 68, ProcessCoord(pipe=0, data=69, model=0): 0: 69, ProcessCoord(pipe=0, data=70, model=0): 70, ProcessCoord(pipe=0, data=71, model=0): 71, ProcessCoord(pipe=0, data=72, model=0): 72, ProcessCoord(pipe=0, data=73, model=0): 73, ProcessCoord(pipe=0, data=74, model=0): 74, ProcessCoord(pipe=0, data=75, model=0): 75, ProcessCoord(pipe=0, data=76, model=0): 76, ProcessCoord(pipe=0, data=77, model=0): 77, ProcessCoord(pipe=0, data=78, model=0): 78, ProcessCoord(pipe=0, data=79, model=0): 79, ProcessCoord(pipe=0, data=80, model=0): 80, ProcessCoord(pipe=0, data=81, model=0): 81, ProcessCoord(pipe=0, data=82, model=0): 82, ProcessCoord(pipe=0, data=83, model=0): 83, ProcessCoord(pipe=0, data=84, model=0): 84, ProcessCoord(pipe=0, data=85, model=0): 85, ProcessCoord(pipe=0, data=86, model=0): 86, ProcessCoord(pipe=0, data=87, model=0): 87, ProcessCoord(pipe=0, data=88, model=0): 88, ProcessCoord(pipe=0, data=89, model=0): 89, ProcessCoord(pipe=0, data=90, model=0): 90, ProcessCoord(pipe=0, data=91, model=0): 91, ProcessCoord(pipe=0, data=92, model=0): 92, Process 0: Coord(pipe=0, data=93, model=0): 93, ProcessCoord(pipe=0, data=94, model=0): 94, ProcessCoord(pipe=0, data=95, model=0): 95, ProcessCoord(pipe=0, data=96, model=0): 96, ProcessCoord(pipe=0, data=97, model=0): 97, ProcessCoord(pipe=0, data=98, model=0): 98, ProcessCoord(pipe=0, data=99, model=0): 99, ProcessCoord(pipe=0, data=100, model=0): 100, ProcessCoord(pipe=0, data=101, model=0): 101, ProcessCoord(pipe=0, data=102, model=0): 102, ProcessCoord(pipe=0, data=103, model=0): 103, ProcessCoord(pipe=0, data=104, model=0): 104, ProcessCoord(pipe=0, data=105, model=0): 105, ProcessCoord(pipe=0, data=106, model=0): 106, ProcessCoord(pipe=0, data=107, model=0): 107, ProcessCoord(pipe=0, data=108, model=0): 108, ProcessCoord(pipe=0, data=109, model=0): 109, ProcessCoord(pipe=0, data=110, model=0): 110, ProcessCoord(pipe=0, data=111, model=0): 111, ProcessCoord(pipe=0, data=112, model=0): 112, ProcessCoord(pipe=0, data=113, model=0): 113, ProcessCoord(pipe=0, data=114, model=0): 114, ProcessCoord(pipe=0, data=115, mo 0: del=0): 115, ProcessCoord(pipe=0, data=116, model=0): 116, ProcessCoord(pipe=0, data=117, model=0): 117, ProcessCoord(pipe=0, data=118, model=0): 118, ProcessCoord(pipe=0, data=119, model=0): 119, ProcessCoord(pipe=0, data=120, model=0): 120, ProcessCoord(pipe=0, data=121, model=0): 121, ProcessCoord(pipe=0, data=122, model=0): 122, ProcessCoord(pipe=0, data=123, model=0): 123, ProcessCoord(pipe=0, data=124, model=0): 124, ProcessCoord(pipe=0, data=125, model=0): 125, ProcessCoord(pipe=0, data=126, model=0): 126, ProcessCoord(pipe=0, data=127, model=0): 127, ProcessCoord(pipe=0, data=128, model=0): 128, ProcessCoord(pipe=0, data=129, model=0): 129, ProcessCoord(pipe=0, data=130, model=0): 130, ProcessCoord(pipe=0, data=131, model=0): 131, ProcessCoord(pipe=0, data=132, model=0): 132, ProcessCoord(pipe=0, data=133, model=0): 133, ProcessCoord(pipe=0, data=134, model=0): 134, ProcessCoord(pipe=0, data=135, model=0): 135, ProcessCoord(pipe=0, data=136, model=0): 136, ProcessCoord(pipe=0, data=137, model=0): 137, 0: ProcessCoord(pipe=0, data=138, model=0): 138, ProcessCoord(pipe=0, data=139, model=0): 139, ProcessCoord(pipe=0, data=140, model=0): 140, ProcessCoord(pipe=0, data=141, model=0): 141, ProcessCoord(pipe=0, data=142, model=0): 142, ProcessCoord(pipe=0, data=143, model=0): 143, ProcessCoord(pipe=0, data=144, model=0): 144, ProcessCoord(pipe=0, data=145, model=0): 145, ProcessCoord(pipe=0, data=146, model=0): 146, ProcessCoord(pipe=0, data=147, model=0): 147, ProcessCoord(pipe=0, data=148, model=0): 148, ProcessCoord(pipe=0, data=149, model=0): 149, ProcessCoord(pipe=0, data=150, model=0): 150, ProcessCoord(pipe=0, data=151, model=0): 151, ProcessCoord(pipe=0, data=152, model=0): 152, ProcessCoord(pipe=0, data=153, model=0): 153, ProcessCoord(pipe=0, data=154, model=0): 154, ProcessCoord(pipe=0, data=155, model=0): 155, ProcessCoord(pipe=0, data=156, model=0): 156, ProcessCoord(pipe=0, data=157, model=0): 157, ProcessCoord(pipe=0, data=158, model=0): 158, ProcessCoord(pipe=0, data=159, model=0): 159, ProcessCoor 0: d(pipe=0, data=160, model=0): 160, ProcessCoord(pipe=0, data=161, model=0): 161, ProcessCoord(pipe=0, data=162, model=0): 162, ProcessCoord(pipe=0, data=163, model=0): 163, ProcessCoord(pipe=0, data=164, model=0): 164, ProcessCoord(pipe=0, data=165, model=0): 165, ProcessCoord(pipe=0, data=166, model=0): 166, ProcessCoord(pipe=0, data=167, model=0): 167, ProcessCoord(pipe=0, data=168, model=0): 168, ProcessCoord(pipe=0, data=169, model=0): 169, ProcessCoord(pipe=0, data=170, model=0): 170, ProcessCoord(pipe=0, data=171, model=0): 171, ProcessCoord(pipe=0, data=172, model=0): 172, ProcessCoord(pipe=0, data=173, model=0): 173, ProcessCoord(pipe=0, data=174, model=0): 174, ProcessCoord(pipe=0, data=175, model=0): 175, ProcessCoord(pipe=0, data=176, model=0): 176, ProcessCoord(pipe=0, data=177, model=0): 177, ProcessCoord(pipe=0, data=178, model=0): 178, ProcessCoord(pipe=0, data=179, model=0): 179, ProcessCoord(pipe=0, data=180, model=0): 180, ProcessCoord(pipe=0, data=181, model=0): 181, ProcessCoord(pipe=0, da 0: ta=182, model=0): 182, ProcessCoord(pipe=0, data=183, model=0): 183, ProcessCoord(pipe=0, data=184, model=0): 184, ProcessCoord(pipe=0, data=185, model=0): 185, ProcessCoord(pipe=0, data=186, model=0): 186, ProcessCoord(pipe=0, data=187, model=0): 187, ProcessCoord(pipe=0, data=188, model=0): 188, ProcessCoord(pipe=0, data=189, model=0): 189, ProcessCoord(pipe=0, data=190, model=0): 190, ProcessCoord(pipe=0, data=191, model=0): 191, ProcessCoord(pipe=0, data=192, model=0): 192, ProcessCoord(pipe=0, data=193, model=0): 193, ProcessCoord(pipe=0, data=194, model=0): 194, ProcessCoord(pipe=0, data=195, model=0): 195, ProcessCoord(pipe=0, data=196, model=0): 196, ProcessCoord(pipe=0, data=197, model=0): 197, ProcessCoord(pipe=0, data=198, model=0): 198, ProcessCoord(pipe=0, data=199, model=0): 199, ProcessCoord(pipe=0, data=200, model=0): 200, ProcessCoord(pipe=0, data=201, model=0): 201, ProcessCoord(pipe=0, data=202, model=0): 202, ProcessCoord(pipe=0, data=203, model=0): 203, ProcessCoord(pipe=0, data=204, mode 0: l=0): 204, ProcessCoord(pipe=0, data=205, model=0): 205, ProcessCoord(pipe=0, data=206, model=0): 206, ProcessCoord(pipe=0, data=207, model=0): 207, ProcessCoord(pipe=0, data=208, model=0): 208, ProcessCoord(pipe=0, data=209, model=0): 209, ProcessCoord(pipe=0, data=210, model=0): 210, ProcessCoord(pipe=0, data=211, model=0): 211, ProcessCoord(pipe=0, data=212, model=0): 212, ProcessCoord(pipe=0, data=213, model=0): 213, ProcessCoord(pipe=0, data=214, model=0): 214, ProcessCoord(pipe=0, data=215, model=0): 215, ProcessCoord(pipe=0, data=216, model=0): 216, ProcessCoord(pipe=0, data=217, model=0): 217, ProcessCoord(pipe=0, data=218, model=0): 218, ProcessCoord(pipe=0, data=219, model=0): 219, ProcessCoord(pipe=0, data=220, model=0): 220, ProcessCoord(pipe=0, data=221, model=0): 221, ProcessCoord(pipe=0, data=222, model=0): 222, ProcessCoord(pipe=0, data=223, model=0): 223, ProcessCoord(pipe=0, data=224, model=0): 224, ProcessCoord(pipe=0, data=225, model=0): 225, ProcessCoord(pipe=0, data=226, model=0): 226, P 0: rocessCoord(pipe=0, data=227, model=0): 227, ProcessCoord(pipe=0, data=228, model=0): 228, ProcessCoord(pipe=0, data=229, model=0): 229, ProcessCoord(pipe=0, data=230, model=0): 230, ProcessCoord(pipe=0, data=231, model=0): 231, ProcessCoord(pipe=0, data=232, model=0): 232, ProcessCoord(pipe=0, data=233, model=0): 233, ProcessCoord(pipe=0, data=234, model=0): 234, ProcessCoord(pipe=0, data=235, model=0): 235, ProcessCoord(pipe=0, data=236, model=0): 236, ProcessCoord(pipe=0, data=237, model=0): 237, ProcessCoord(pipe=0, data=238, model=0): 238, ProcessCoord(pipe=0, data=239, model=0): 239, ProcessCoord(pipe=0, data=240, model=0): 240, ProcessCoord(pipe=0, data=241, model=0): 241, ProcessCoord(pipe=0, data=242, model=0): 242, ProcessCoord(pipe=0, data=243, model=0): 243, ProcessCoord(pipe=0, data=244, model=0): 244, ProcessCoord(pipe=0, data=245, model=0): 245, ProcessCoord(pipe=0, data=246, model=0): 246, ProcessCoord(pipe=0, data=247, model=0): 247, ProcessCoord(pipe=0, data=248, model=0): 248, ProcessCoord( 0: pipe=0, data=249, model=0): 249, ProcessCoord(pipe=0, data=250, model=0): 250, ProcessCoord(pipe=0, data=251, model=0): 251, ProcessCoord(pipe=0, data=252, model=0): 252, ProcessCoord(pipe=0, data=253, model=0): 253, ProcessCoord(pipe=0, data=254, model=0): 254, ProcessCoord(pipe=0, data=255, model=0): 255} 0: [2023-03-15 21:54:37,835] [INFO] [module.py:366:_partition_layers] Partitioning pipeline stages with method type:transformer 0: stage=0 layers=33 0: 0: _to_float16 0: 1: EmbeddingPipe 0: 2: 0: 3: ParallelTransformerLayerPipe 0: 4: ParallelTransformerLayerPipe 0: 5: ParallelTransformerLayerPipe 0: 6: ParallelTransformerLayerPipe 0: 7: ParallelTransformerLayerPipe 0: 8: ParallelTransformerLayerPipe 0: 9: ParallelTransformerLayerPipe 0: 10: ParallelTransformerLayerPipe 0: 11: ParallelTransformerLayerPipe 0: 12: ParallelTransformerLayerPipe 0: 13: ParallelTransformerLayerPipe 0: 14: ParallelTransformerLayerPipe 0: 15: ParallelTransformerLayerPipe 0: 16: ParallelTransformerLayerPipe 0: 17: ParallelTransformerLayerPipe 0: 18: ParallelTransformerLayerPipe 0: 19: ParallelTransformerLayerPipe 0: 20: ParallelTransformerLayerPipe 0: 21: ParallelTransformerLayerPipe 0: 22: ParallelTransformerLayerPipe 0: 23: ParallelTransformerLayerPipe 0: 24: ParallelTransformerLayerPipe 0: 25: ParallelTransformerLayerPipe 0: 26: ParallelTransformerLayerPipe 0: 27: ParallelTransformerLayerPipe 0: 28: ParallelTransformerLayerPipe 0: 29: undo 0: 30: MixedFusedLayerNorm 0: 31: EmbeddingPipe 0: 32: float16_to_fp32 0: loss: CrossEntropy 0: [2023-03-15 21:54:38,061] [INFO] [utils.py:827:see_memory_usage] After Building Model 0: [2023-03-15 21:54:38,062] [INFO] [utils.py:828:see_memory_usage] MA 2.05 GB Max_MA 2.05 GB CA 2.19 GB Max_CA 2 GB 0: [2023-03-15 21:54:38,062] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.19 GB, percent = 6.2% 0: setting training iterations to 23189 0: > learning rate decay style: cosine 0: DeepSpeed is enabled. 0: [2023-03-15 21:54:38,064] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed info: version=0.7.5, git-hash=unknown, git-branch=unknown 0: [2023-03-15 21:54:59,346] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Flops Profiler Enabled: False 0: [2023-03-15 21:54:59,347] [INFO] [logging.py:68:log_dist] [Rank 0] Removing param_group that has no 'params' in the client Optimizer 0: [2023-03-15 21:54:59,347] [INFO] [logging.py:68:log_dist] [Rank 0] Using client Optimizer as basic optimizer 0: [2023-03-15 21:54:59,358] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Basic Optimizer = FusedAdam 0: [2023-03-15 21:54:59,358] [INFO] [logging.py:68:log_dist] [Rank 0] Creating BF16 optimizer 0: [2023-03-15 21:54:59,479] [INFO] [utils.py:827:see_memory_usage] begin bf16_optimizer 0: [2023-03-15 21:54:59,479] [INFO] [utils.py:828:see_memory_usage] MA 2.04 GB Max_MA 2.06 GB CA 2.19 GB Max_CA 2 GB 0: [2023-03-15 21:54:59,479] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 31.89 GB, percent = 6.3% 2: ninja: no work to do. 2: Time to load utils 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to load utils op: 0.0017290115356445312 secondsTime to load utils op: 0.0015802383422851562 seconds 27: 27: Time to load utils op: 0.0016176700592041016 seconds 0: [2023-03-15 21:55:00,087] [INFO] [utils.py:827:see_memory_usage] before initializing group 1 0: [2023-03-15 21:55:00,087] [INFO] [utils.py:828:see_memory_usage] MA 4.22 GB Max_MA 4.22 GB CA 5.44 GB Max_CA 5 GB 0: [2023-03-15 21:55:00,087] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,197] [INFO] [utils.py:827:see_memory_usage] after initializing group 1 0: [2023-03-15 21:55:00,197] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2023-03-15 21:55:00,198] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,302] [INFO] [utils.py:827:see_memory_usage] before initializing group 2 0: [2023-03-15 21:55:00,303] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2023-03-15 21:55:00,303] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,411] [INFO] [utils.py:827:see_memory_usage] after initializing group 2 0: [2023-03-15 21:55:00,411] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2023-03-15 21:55:00,412] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,515] [INFO] [utils.py:827:see_memory_usage] before initialize_optimizer 0: [2023-03-15 21:55:00,515] [INFO] [utils.py:828:see_memory_usage] MA 6.14 GB Max_MA 6.14 GB CA 8.31 GB Max_CA 8 GB 0: [2023-03-15 21:55:00,516] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,625] [INFO] [utils.py:827:see_memory_usage] end initialize_optimizer 0: [2023-03-15 21:55:00,626] [INFO] [utils.py:828:see_memory_usage] MA 6.17 GB Max_MA 6.17 GB CA 8.31 GB Max_CA 8 GB 0: [2023-03-15 21:55:00,626] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,731] [INFO] [utils.py:827:see_memory_usage] end bf16_optimizer 0: [2023-03-15 21:55:00,731] [INFO] [utils.py:828:see_memory_usage] MA 6.17 GB Max_MA 6.17 GB CA 8.31 GB Max_CA 8 GB 0: [2023-03-15 21:55:00,731] [INFO] [utils.py:836:see_memory_usage] CPU Virtual Memory: used = 32.05 GB, percent = 6.4% 0: [2023-03-15 21:55:00,731] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed Final Optimizer = FusedAdam 0: [2023-03-15 21:55:00,732] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed using client LR scheduler 0: [2023-03-15 21:55:00,732] [INFO] [logging.py:68:log_dist] [Rank 0] DeepSpeed LR Scheduler = 0: [2023-03-15 21:55:00,732] [INFO] [logging.py:68:log_dist] [Rank 0] step=0, skipped=0, lr=[0.0, 0.0, 0.0], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 0: [2023-03-15 21:55:00,732] [INFO] [config.py:1007:print] DeepSpeedEngine configuration: 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] activation_checkpointing_config { 0: "partition_activations": false, 0: "contiguous_memory_optimization": false, 0: "cpu_checkpointing": false, 0: "number_checkpoints": null, 0: "synchronize_checkpoint_boundary": false, 0: "profile": false 0: } 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] aio_config ................... {'block_size': 1048576, 'queue_depth': 8, 'thread_count': 1, 'single_submit': False, 'overlap_events': True} 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] amp_enabled .................. False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] amp_params ................... False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] autotuning_config ............ { 0: "enabled": false, 0: "start_step": null, 0: "end_step": null, 0: "metric_path": null, 0: "arg_mappings": null, 0: "metric": "throughput", 0: "model_info": null, 0: "results_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_results", 0: "exps_dir": "/pfs/lustrep4/scratch/project_462000119/muennighoff/nov-2022-bettercom/autotuning_exps", 0: "overwrite": true, 0: "fast": true, 0: "start_profile_step": 3, 0: "end_profile_step": 5, 0: "tuner_type": "gridsearch", 0: "tuner_early_stopping": 5, 0: "tuner_num_trials": 50, 0: "model_info_path": null, 0: "mp_size": 1, 0: "max_train_batch_size": null, 0: "min_train_batch_size": 1, 0: "max_train_micro_batch_size_per_gpu": 1.024000e+03, 0: "min_train_micro_batch_size_per_gpu": 1, 0: "num_tuning_micro_batch_sizes": 3 0: } 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] bfloat16_enabled ............. True 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] checkpoint_parallel_write_pipeline False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] checkpoint_tag_validation_enabled True 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] checkpoint_tag_validation_fail False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] comms_config ................. 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] communication_data_type ...... None 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] compression_config ........... {'weight_quantization': {'shared_parameters': {'enabled': False, 'quantizer_kernel': False, 'schedule_offset': 0, 'quantize_groups': 1, 'quantize_verbose': False, 'quantization_type': 'symmetric', 'quantize_weight_in_forward': False, 'rounding': 'nearest', 'fp16_mixed_quantize': False, 'quantize_change_ratio': 0.001}, 'different_groups': {}}, 'activation_quantization': {'shared_parameters': {'enabled': False, 'quantization_type': 'symmetric', 'range_calibration': 'dynamic', 'schedule_offset': 1000}, 'different_groups': {}}, 'sparse_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'row_pruning': {'shared_parameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'head_pruning': {'shared_parameters': {'enabled': False, 'method': 'topk', 'schedule_offset': 1000}, 'different_groups': {}}, 'channel_pruning': {'shared_pa 0: rameters': {'enabled': False, 'method': 'l1', 'schedule_offset': 1000}, 'different_groups': {}}, 'layer_reduction': {'enabled': False}} 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] curriculum_enabled ........... False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] curriculum_params ............ False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] dataloader_drop_last ......... False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] disable_allgather ............ False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] dump_state ................... False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] dynamic_loss_scale_args ...... None 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_enabled ........... False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_gas_boundary_resolution 1 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_layer_name ........ bert.encoder.layer 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_layer_num ......... 0 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_max_iter .......... 100 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_stability ......... 1e-06 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_tol ............... 0.01 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] eigenvalue_verbose ........... False 0: [2023-03-15 21:55:00,733] [INFO] [config.py:1011:print] elasticity_enabled ........... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] flops_profiler_config ........ { 0: "enabled": false, 0: "profile_step": 1, 0: "module_depth": -1, 0: "top_modules": 1, 0: "detailed": true, 0: "output_file": null 0: } 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] fp16_auto_cast ............... None 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] fp16_enabled ................. False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] fp16_master_weights_and_gradients False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] global_rank .................. 0 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] gradient_accumulation_steps .. 1 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] gradient_clipping ............ 1.0 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] gradient_predivide_factor .... 1.0 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] initial_dynamic_scale ........ 1 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] load_universal_checkpoint .... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] loss_scale ................... 1.0 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] memory_breakdown ............. False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] monitor_config ............... 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] nebula_config ................ { 0: "enabled": false, 0: "persistent_storage_path": null, 0: "persistent_time_interval": 100, 0: "num_of_version_in_retention": 2, 0: "enable_nebula_load": true, 0: "load_path": null 0: } 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] optimizer_legacy_fusion ...... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] optimizer_name ............... None 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] optimizer_params ............. None 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] pipeline ..................... {'stages': 'auto', 'partition': 'best', 'seed_layers': False, 'activation_checkpoint_interval': 0} 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] pld_enabled .................. False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] pld_params ................... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] prescale_gradients ........... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] scheduler_name ............... None 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] scheduler_params ............. None 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] sparse_attention ............. None 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] sparse_gradients_enabled ..... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] steps_per_print .............. 2000 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] train_batch_size ............. 256 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] train_micro_batch_size_per_gpu 1 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] use_node_local_storage ....... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] wall_clock_breakdown ......... False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] world_size ................... 256 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] zero_allow_untested_optimizer False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] zero_config .................. stage=0 contiguous_gradients=True reduce_scatter=True reduce_bucket_size=500000000 allgather_partitions=True allgather_bucket_size=500000000 overlap_comm=False load_from_fp32_weights=True elastic_checkpoint=False offload_param=None offload_optimizer=None sub_group_size=1000000000 cpu_offload_param=None cpu_offload_use_pin_memory=None cpu_offload=None prefetch_bucket_size=50000000 param_persistence_threshold=100000 model_persistence_threshold=9223372036854775807 max_live_parameters=1000000000 max_reuse_distance=1000000000 gather_16bit_weights_on_model_save=False stage3_gather_fp16_weights_on_model_save=False ignore_unused_parameters=True legacy_stage1=False round_robin_gradients=False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] zero_enabled ................. False 0: [2023-03-15 21:55:00,734] [INFO] [config.py:1011:print] zero_optimization_stage ...... 0 0: [2023-03-15 21:55:00,734] [INFO] [config.py:996:print_user_config] json = { 0: "train_micro_batch_size_per_gpu": 1, 0: "train_batch_size": 256, 0: "gradient_clipping": 1.0, 0: "zero_optimization": { 0: "stage": 0 0: }, 0: "bf16": { 0: "enabled": true 0: }, 0: "steps_per_print": 2.000000e+03, 0: "wall_clock_breakdown": false 0: } 0: Time to load utils op: 0.00042748451232910156 seconds 0: [2023-03-15 21:55:00,735] [INFO] [engine.py:87:__init__] CONFIG: micro_batches=1 micro_batch_size=1 0: [2023-03-15 21:55:00,746] [INFO] [engine.py:145:__init__] RANK=0 STAGE=0 LAYERS=33 [0, 33) STAGE_PARAMS=1096338432 (1096.338M) TOTAL_PARAMS=1096338432 (1096.338M) UNIQUE_PARAMS=1096338432 (1096.338M) 0: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: WARNING: could not find the metadata file checkpoints_1b112b400m 0: will not load any checkpoints and will start from random 0: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,751] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 0: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 2: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 16: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,752] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 24: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 22: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 8: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 28: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 20: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 30: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 13: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 25: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 14: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 27: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 19: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 12: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 21: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 26: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 9: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 7: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 6: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 11: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 29: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 4: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 17: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 23: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 18: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 1: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 10: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 15: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 3: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 5: [2023-03-15 21:55:00,753] [WARNING] [engine.py:2581:load_checkpoint] Unable to find latest file at checkpoints_1b112b400m/latest, if trying to load latest checkpoint please ensure this file exists or pass an explicit checkpoint tag when loading a checkpoint. 31: time (ms) | load-checkpoint: 9.50 0: estimated model parameters: 1.096338432 0: estimated model parameters without embeddings: 1.002523648 0: [after model, optimizer, and learning rate scheduler are built] datetime: 2023-03-15 21:55:01 0: > building train, validation, and test datasets ... 0: > datasets target sizes (minimum size): 0: train: 5936416 0: validation: 768 0: test: 256 0: > building train, validation, and test datasets for GPT ... 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.006802 seconds 0: number of documents: 835726 0: > dataset split: 0: train: 0: document indices in [0, 835726) total of 835726 documents 0: > WARNING: could not find index map files, building the indices on rank 0 ... 0: > last epoch number of samples (83400) is smaller than 95.0% of number of samples per epoch (195100), setting separate_last_epoch to True 0: > elasped time to build and save doc-idx mapping (seconds): 1.417940 0: using: 0: number of documents: 835726 0: number of epochs: 31 0: sequence length: 2048 0: total number of samples: 6048116 0: > elasped time to build and save sample-idx mapping (seconds): 0.163510 0: > building shuffle index with split [0, 5853016) and [5853016, 6048116) ... 0: > elasped time to build and save shuffle-idx mapping (seconds): 0.158321 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_400M_text_document_train_indexmap_5936416ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_400M_text_document_train_indexmap_5936416ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_subsampled/gpt2tok_c4_en_400M_text_document_train_indexmap_5936416ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.015 seconds 0: total number of samples: 6048117 0: total number of epochs: 31 0: > building dataset index ... 0: reading sizes... 0: reading pointers... 0: reading document index... 0: creating numpy buffer of mmap... 0: creating memory view of numpy buffer... 0: > finished creating indexed dataset in 0.001853 seconds 0: number of documents: 364608 0: > dataset split: 0: validation: 0: document indices in [0, 364608) total of 364608 documents 0: > loading doc-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_768ns_2048sl_1234s_doc_idx.npy 0: > loading sample-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_768ns_2048sl_1234s_sample_idx.npy 0: > loading shuffle-idx mapping from /scratch/project_462000119/data/c4_validation/gpt2tok_c4validation_rerun_text_document_validation_indexmap_768ns_2048sl_1234s_shuffle_idx.npy 0: loaded indexed file in 0.061 seconds 0: total number of samples: 84978 0: total number of epochs: 1 0: > finished creating GPT datasets ... 0: [after dataloaders are built] datetime: 2023-03-15 21:55:18 0: done with setup ... 0: training ... 0: Number of parameters: [tensor rank - pipeline rank] w/ and w/o embeddings: 31: time (ms) | model-and-optimizer-setup: 31968.00 | train/valid/test-data-iterators-setup: 17041.51 0: [000-000] 1.0963B / 1.0025B 0: [before the start of training step] datetime: 2023-03-15 21:55:18 0: [Rank 0] (after 10 iterations) memory (MB) | allocated: 8825.99951171875 | max allocated: 22728.953125 | reserved: 24902.0 | max reserved: 24902.0 31: iteration 10/ 23189 | consumed samples: 2560 | consumed tokens: 5242880 | elapsed time per iteration (s): 2.19 | learning rate: 8.625E-06 | global batch size: 256 | lm loss: 1.022291E+01 | grad norm: 14.809 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 116.830 | TFLOPs: 7.07 | 31: iteration 20/ 23189 | consumed samples: 5120 | consumed tokens: 10485760 | elapsed time per iteration (s): 0.83 | learning rate: 1.725E-05 | global batch size: 256 | lm loss: 8.955832E+00 | grad norm: 4.866 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 308.111 | TFLOPs: 18.64 | 31: iteration 30/ 23189 | consumed samples: 7680 | consumed tokens: 15728640 | elapsed time per iteration (s): 0.79 | learning rate: 2.587E-05 | global batch size: 256 | lm loss: 8.539508E+00 | grad norm: 2.200 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.681 | TFLOPs: 19.52 | 31: iteration 40/ 23189 | consumed samples: 10240 | consumed tokens: 20971520 | elapsed time per iteration (s): 0.85 | learning rate: 3.450E-05 | global batch size: 256 | lm loss: 8.070320E+00 | grad norm: 4.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 300.505 | TFLOPs: 18.18 | 31: iteration 50/ 23189 | consumed samples: 12800 | consumed tokens: 26214400 | elapsed time per iteration (s): 0.91 | learning rate: 4.312E-05 | global batch size: 256 | lm loss: 7.643475E+00 | grad norm: 3.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 282.559 | TFLOPs: 17.09 | 31: iteration 60/ 23189 | consumed samples: 15360 | consumed tokens: 31457280 | elapsed time per iteration (s): 0.83 | learning rate: 5.175E-05 | global batch size: 256 | lm loss: 7.322057E+00 | grad norm: 1.712 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.613 | TFLOPs: 18.61 | 31: iteration 70/ 23189 | consumed samples: 17920 | consumed tokens: 36700160 | elapsed time per iteration (s): 0.80 | learning rate: 6.037E-05 | global batch size: 256 | lm loss: 7.162677E+00 | grad norm: 1.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.621 | TFLOPs: 19.28 | 31: iteration 80/ 23189 | consumed samples: 20480 | consumed tokens: 41943040 | elapsed time per iteration (s): 0.74 | learning rate: 6.900E-05 | global batch size: 256 | lm loss: 7.047652E+00 | grad norm: 1.671 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.959 | TFLOPs: 20.99 | 31: iteration 90/ 23189 | consumed samples: 23040 | consumed tokens: 47185920 | elapsed time per iteration (s): 0.75 | learning rate: 7.762E-05 | global batch size: 256 | lm loss: 6.920197E+00 | grad norm: 1.674 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.670 | TFLOPs: 20.55 | 31: iteration 100/ 23189 | consumed samples: 25600 | consumed tokens: 52428800 | elapsed time per iteration (s): 0.74 | learning rate: 8.625E-05 | global batch size: 256 | lm loss: 6.813943E+00 | grad norm: 1.738 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.385 | TFLOPs: 20.96 | 31: iteration 110/ 23189 | consumed samples: 28160 | consumed tokens: 57671680 | elapsed time per iteration (s): 0.73 | learning rate: 9.487E-05 | global batch size: 256 | lm loss: 6.700953E+00 | grad norm: 1.098 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.620 | TFLOPs: 21.21 | 31: iteration 120/ 23189 | consumed samples: 30720 | consumed tokens: 62914560 | elapsed time per iteration (s): 0.75 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 6.638142E+00 | grad norm: 1.591 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.137 | TFLOPs: 20.76 | 31: iteration 130/ 23189 | consumed samples: 33280 | consumed tokens: 68157440 | elapsed time per iteration (s): 0.71 | learning rate: 1.121E-04 | global batch size: 256 | lm loss: 6.567699E+00 | grad norm: 1.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.109 | TFLOPs: 21.91 | 31: iteration 140/ 23189 | consumed samples: 35840 | consumed tokens: 73400320 | elapsed time per iteration (s): 0.74 | learning rate: 1.207E-04 | global batch size: 256 | lm loss: 6.507605E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.903 | TFLOPs: 20.93 | 31: iteration 150/ 23189 | consumed samples: 38400 | consumed tokens: 78643200 | elapsed time per iteration (s): 0.74 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 6.455681E+00 | grad norm: 1.730 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.656 | TFLOPs: 20.79 | 31: iteration 160/ 23189 | consumed samples: 40960 | consumed tokens: 83886080 | elapsed time per iteration (s): 0.76 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 6.438163E+00 | grad norm: 1.135 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.841 | TFLOPs: 20.32 | 31: iteration 170/ 23189 | consumed samples: 43520 | consumed tokens: 89128960 | elapsed time per iteration (s): 0.74 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 6.369115E+00 | grad norm: 1.204 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.155 | TFLOPs: 20.82 | 31: iteration 180/ 23189 | consumed samples: 46080 | consumed tokens: 94371840 | elapsed time per iteration (s): 0.74 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 6.317931E+00 | grad norm: 0.687 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.821 | TFLOPs: 20.98 | 31: iteration 190/ 23189 | consumed samples: 48640 | consumed tokens: 99614720 | elapsed time per iteration (s): 0.76 | learning rate: 1.639E-04 | global batch size: 256 | lm loss: 6.286330E+00 | grad norm: 1.195 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.462 | TFLOPs: 20.42 | 31: iteration 200/ 23189 | consumed samples: 51200 | consumed tokens: 104857600 | elapsed time per iteration (s): 0.70 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 6.243284E+00 | grad norm: 0.717 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.583 | TFLOPs: 22.00 | 31: iteration 210/ 23189 | consumed samples: 53760 | consumed tokens: 110100480 | elapsed time per iteration (s): 0.74 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 6.206164E+00 | grad norm: 0.810 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.316 | TFLOPs: 20.89 | 31: iteration 220/ 23189 | consumed samples: 56320 | consumed tokens: 115343360 | elapsed time per iteration (s): 0.77 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 6.181236E+00 | grad norm: 0.788 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.140 | TFLOPs: 20.09 | 31: iteration 230/ 23189 | consumed samples: 58880 | consumed tokens: 120586240 | elapsed time per iteration (s): 0.76 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 6.128757E+00 | grad norm: 0.763 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.540 | TFLOPs: 20.36 | 31: iteration 240/ 23189 | consumed samples: 61440 | consumed tokens: 125829120 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.111241E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.999 | TFLOPs: 20.51 | 31: iteration 250/ 23189 | consumed samples: 64000 | consumed tokens: 131072000 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.061164E+00 | grad norm: 0.806 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.390 | TFLOPs: 19.93 | 31: iteration 260/ 23189 | consumed samples: 66560 | consumed tokens: 136314880 | elapsed time per iteration (s): 0.72 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.022837E+00 | grad norm: 0.633 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.370 | TFLOPs: 21.56 | 31: iteration 270/ 23189 | consumed samples: 69120 | consumed tokens: 141557760 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 6.000839E+00 | grad norm: 0.653 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.095 | TFLOPs: 20.27 | 31: iteration 280/ 23189 | consumed samples: 71680 | consumed tokens: 146800640 | elapsed time per iteration (s): 0.74 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.962344E+00 | grad norm: 0.443 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.713 | TFLOPs: 20.79 | 31: iteration 290/ 23189 | consumed samples: 74240 | consumed tokens: 152043520 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.947021E+00 | grad norm: 1.383 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.901 | TFLOPs: 19.96 | 31: iteration 300/ 23189 | consumed samples: 76800 | consumed tokens: 157286400 | elapsed time per iteration (s): 0.74 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.951460E+00 | grad norm: 0.710 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.639 | TFLOPs: 21.03 | 31: iteration 310/ 23189 | consumed samples: 79360 | consumed tokens: 162529280 | elapsed time per iteration (s): 0.75 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.912735E+00 | grad norm: 0.533 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.912 | TFLOPs: 20.68 | 31: iteration 320/ 23189 | consumed samples: 81920 | consumed tokens: 167772160 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.860174E+00 | grad norm: 0.561 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.929 | TFLOPs: 19.11 | 31: iteration 330/ 23189 | consumed samples: 84480 | consumed tokens: 173015040 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.822577E+00 | grad norm: 0.463 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.355 | TFLOPs: 20.35 | 31: iteration 340/ 23189 | consumed samples: 87040 | consumed tokens: 178257920 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.811106E+00 | grad norm: 1.089 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.390 | TFLOPs: 20.17 | 31: iteration 350/ 23189 | consumed samples: 89600 | consumed tokens: 183500800 | elapsed time per iteration (s): 0.81 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.796016E+00 | grad norm: 0.765 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.554 | TFLOPs: 19.03 | 31: iteration 360/ 23189 | consumed samples: 92160 | consumed tokens: 188743680 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.733241E+00 | grad norm: 0.589 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.896 | TFLOPs: 19.59 | 31: iteration 370/ 23189 | consumed samples: 94720 | consumed tokens: 193986560 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.682439E+00 | grad norm: 0.783 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.903 | TFLOPs: 20.14 | 31: iteration 380/ 23189 | consumed samples: 97280 | consumed tokens: 199229440 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.677385E+00 | grad norm: 0.664 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.444 | TFLOPs: 19.51 | 31: iteration 390/ 23189 | consumed samples: 99840 | consumed tokens: 204472320 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.649646E+00 | grad norm: 0.756 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.126 | TFLOPs: 19.85 | 31: iteration 400/ 23189 | consumed samples: 102400 | consumed tokens: 209715200 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.622426E+00 | grad norm: 0.785 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.462 | TFLOPs: 19.87 | 31: iteration 410/ 23189 | consumed samples: 104960 | consumed tokens: 214958080 | elapsed time per iteration (s): 0.80 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.587705E+00 | grad norm: 0.509 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.705 | TFLOPs: 19.46 | 31: iteration 420/ 23189 | consumed samples: 107520 | consumed tokens: 220200960 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.562492E+00 | grad norm: 0.599 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.061 | TFLOPs: 19.48 | 31: iteration 430/ 23189 | consumed samples: 110080 | consumed tokens: 225443840 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.518090E+00 | grad norm: 0.764 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.089 | TFLOPs: 19.61 | 31: iteration 440/ 23189 | consumed samples: 112640 | consumed tokens: 230686720 | elapsed time per iteration (s): 0.82 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.503148E+00 | grad norm: 0.719 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.110 | TFLOPs: 19.00 | 31: iteration 450/ 23189 | consumed samples: 115200 | consumed tokens: 235929600 | elapsed time per iteration (s): 0.74 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.473395E+00 | grad norm: 0.745 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.311 | TFLOPs: 20.95 | 31: iteration 460/ 23189 | consumed samples: 117760 | consumed tokens: 241172480 | elapsed time per iteration (s): 0.71 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.428236E+00 | grad norm: 0.657 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.434 | TFLOPs: 21.74 | 31: iteration 470/ 23189 | consumed samples: 120320 | consumed tokens: 246415360 | elapsed time per iteration (s): 0.76 | learning rate: 2.000E-04 | global batch size: 256 | lm loss: 5.388285E+00 | grad norm: 0.600 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.752 | TFLOPs: 20.49 | 31: iteration 480/ 23189 | consumed samples: 122880 | consumed tokens: 251658240 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.352789E+00 | grad norm: 0.767 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.481 | TFLOPs: 20.48 | 31: iteration 490/ 23189 | consumed samples: 125440 | consumed tokens: 256901120 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.358003E+00 | grad norm: 0.866 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.268 | TFLOPs: 20.10 | 31: iteration 500/ 23189 | consumed samples: 128000 | consumed tokens: 262144000 | elapsed time per iteration (s): 0.76 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.285712E+00 | grad norm: 0.666 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.718 | TFLOPs: 20.49 | 31: iteration 510/ 23189 | consumed samples: 130560 | consumed tokens: 267386880 | elapsed time per iteration (s): 0.73 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.260510E+00 | grad norm: 0.451 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.988 | TFLOPs: 21.11 | 31: iteration 520/ 23189 | consumed samples: 133120 | consumed tokens: 272629760 | elapsed time per iteration (s): 0.74 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.202957E+00 | grad norm: 0.681 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.338 | TFLOPs: 21.01 | 31: iteration 530/ 23189 | consumed samples: 135680 | consumed tokens: 277872640 | elapsed time per iteration (s): 0.74 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.204079E+00 | grad norm: 0.684 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.088 | TFLOPs: 20.82 | 31: iteration 540/ 23189 | consumed samples: 138240 | consumed tokens: 283115520 | elapsed time per iteration (s): 0.74 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.153926E+00 | grad norm: 0.750 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.697 | TFLOPs: 20.97 | 31: iteration 550/ 23189 | consumed samples: 140800 | consumed tokens: 288358400 | elapsed time per iteration (s): 0.73 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.104762E+00 | grad norm: 0.677 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.361 | TFLOPs: 21.26 | 31: iteration 560/ 23189 | consumed samples: 143360 | consumed tokens: 293601280 | elapsed time per iteration (s): 0.81 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.079189E+00 | grad norm: 0.700 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.155 | TFLOPs: 19.13 | 31: iteration 570/ 23189 | consumed samples: 145920 | consumed tokens: 298844160 | elapsed time per iteration (s): 0.77 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.042487E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.609 | TFLOPs: 20.12 | 31: iteration 580/ 23189 | consumed samples: 148480 | consumed tokens: 304087040 | elapsed time per iteration (s): 0.79 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 5.022612E+00 | grad norm: 0.752 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.976 | TFLOPs: 19.66 | 31: iteration 590/ 23189 | consumed samples: 151040 | consumed tokens: 309329920 | elapsed time per iteration (s): 0.80 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.991941E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.286 | TFLOPs: 19.38 | 31: iteration 600/ 23189 | consumed samples: 153600 | consumed tokens: 314572800 | elapsed time per iteration (s): 0.81 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.947025E+00 | grad norm: 0.888 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.100 | TFLOPs: 19.06 | 31: iteration 610/ 23189 | consumed samples: 156160 | consumed tokens: 319815680 | elapsed time per iteration (s): 0.78 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.908853E+00 | grad norm: 0.686 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.802 | TFLOPs: 19.77 | 31: iteration 620/ 23189 | consumed samples: 158720 | consumed tokens: 325058560 | elapsed time per iteration (s): 0.71 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.886750E+00 | grad norm: 0.724 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.534 | TFLOPs: 21.75 | 31: iteration 630/ 23189 | consumed samples: 161280 | consumed tokens: 330301440 | elapsed time per iteration (s): 0.75 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.890118E+00 | grad norm: 0.760 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.725 | TFLOPs: 20.67 | 31: iteration 640/ 23189 | consumed samples: 163840 | consumed tokens: 335544320 | elapsed time per iteration (s): 0.72 | learning rate: 1.999E-04 | global batch size: 256 | lm loss: 4.831871E+00 | grad norm: 0.673 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.442 | TFLOPs: 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samples per second: 352.102 | TFLOPs: 21.30 | 31: iteration 680/ 23189 | consumed samples: 174080 | consumed tokens: 356515840 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.676248E+00 | grad norm: 0.478 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.668 | TFLOPs: 20.49 | 31: iteration 690/ 23189 | consumed samples: 176640 | consumed tokens: 361758720 | elapsed time per iteration (s): 0.73 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.625345E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.980 | TFLOPs: 21.29 | 31: iteration 700/ 23189 | consumed samples: 179200 | consumed tokens: 367001600 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.597499E+00 | grad norm: 0.637 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.757 | TFLOPs: 20.25 | 31: iteration 710/ 23189 | consumed samples: 181760 | consumed tokens: 372244480 | elapsed time per iteration (s): 0.73 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.574617E+00 | grad norm: 0.516 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.284 | TFLOPs: 21.19 | 31: iteration 720/ 23189 | consumed samples: 184320 | consumed tokens: 377487360 | elapsed time per iteration (s): 0.72 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.531388E+00 | grad norm: 0.425 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.981 | TFLOPs: 21.60 | 31: iteration 730/ 23189 | consumed samples: 186880 | consumed tokens: 382730240 | elapsed time per iteration (s): 0.76 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.491429E+00 | grad norm: 0.625 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.647 | TFLOPs: 20.49 | 31: iteration 740/ 23189 | consumed samples: 189440 | consumed tokens: 387973120 | elapsed time per iteration (s): 0.78 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.510794E+00 | grad norm: 0.683 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.587 | TFLOPs: 19.76 | 31: iteration 750/ 23189 | consumed samples: 192000 | consumed tokens: 393216000 | elapsed time per iteration (s): 0.71 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.486442E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.806 | TFLOPs: 21.71 | 31: iteration 760/ 23189 | consumed samples: 194560 | consumed tokens: 398458880 | elapsed time per iteration (s): 0.79 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.434670E+00 | grad norm: 0.372 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.878 | TFLOPs: 19.65 | 31: iteration 770/ 23189 | consumed samples: 197120 | consumed tokens: 403701760 | elapsed time per iteration (s): 0.77 | learning rate: 1.998E-04 | global batch size: 256 | lm loss: 4.416328E+00 | grad norm: 0.519 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.746 | TFLOPs: 20.19 | 31: iteration 780/ 23189 | consumed samples: 199680 | consumed tokens: 408944640 | elapsed time per iteration (s): 0.73 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.415157E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.830 | TFLOPs: 21.35 | 31: iteration 790/ 23189 | consumed samples: 202240 | consumed tokens: 414187520 | elapsed time per iteration (s): 0.71 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.393456E+00 | grad norm: 0.571 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.220 | TFLOPs: 21.73 | 31: iteration 800/ 23189 | consumed samples: 204800 | consumed tokens: 419430400 | elapsed time per iteration (s): 0.75 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.354012E+00 | grad norm: 0.395 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.156 | TFLOPs: 20.64 | 31: iteration 810/ 23189 | consumed samples: 207360 | consumed tokens: 424673280 | elapsed time per iteration (s): 0.72 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.343407E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.585 | TFLOPs: 21.45 | 31: iteration 820/ 23189 | consumed samples: 209920 | consumed tokens: 429916160 | elapsed time per iteration (s): 0.76 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.327937E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.640 | TFLOPs: 20.31 | 31: iteration 830/ 23189 | consumed samples: 212480 | consumed tokens: 435159040 | elapsed time per iteration (s): 0.72 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.308788E+00 | grad norm: 0.527 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.699 | TFLOPs: 21.52 | 31: iteration 840/ 23189 | consumed samples: 215040 | consumed tokens: 440401920 | elapsed time per iteration (s): 0.73 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.300678E+00 | grad norm: 0.536 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.934 | TFLOPs: 21.17 | 31: iteration 850/ 23189 | consumed samples: 217600 | consumed tokens: 445644800 | elapsed time per iteration (s): 0.74 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.295697E+00 | grad norm: 0.484 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.040 | TFLOPs: 21.06 | 31: iteration 860/ 23189 | consumed samples: 220160 | consumed tokens: 450887680 | elapsed time per iteration (s): 0.73 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.283897E+00 | grad norm: 0.545 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.411 | TFLOPs: 21.14 | 31: iteration 870/ 23189 | consumed samples: 222720 | consumed tokens: 456130560 | elapsed time per iteration (s): 0.71 | learning rate: 1.997E-04 | global batch size: 256 | lm loss: 4.262590E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.535 | TFLOPs: 21.75 | 31: iteration 880/ 23189 | consumed samples: 225280 | consumed tokens: 461373440 | elapsed time per iteration (s): 0.73 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.231631E+00 | grad norm: 0.398 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.239 | TFLOPs: 21.31 | 31: iteration 890/ 23189 | consumed samples: 227840 | consumed tokens: 466616320 | elapsed time per iteration (s): 0.73 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.239136E+00 | grad norm: 0.539 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.397 | TFLOPs: 21.20 | 31: iteration 900/ 23189 | consumed samples: 230400 | consumed tokens: 471859200 | elapsed time per iteration (s): 0.82 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.220276E+00 | grad norm: 0.468 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.038 | TFLOPs: 18.82 | 31: iteration 910/ 23189 | consumed samples: 232960 | consumed tokens: 477102080 | elapsed time per iteration (s): 0.73 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.206560E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.744 | TFLOPs: 21.10 | 31: iteration 920/ 23189 | consumed samples: 235520 | consumed tokens: 482344960 | elapsed time per iteration (s): 0.78 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.177131E+00 | grad norm: 0.623 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.000 | TFLOPs: 19.78 | 31: iteration 930/ 23189 | consumed samples: 238080 | consumed tokens: 487587840 | elapsed time per iteration (s): 0.69 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.194006E+00 | grad norm: 0.487 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.408 | TFLOPs: 22.29 | 31: iteration 940/ 23189 | consumed samples: 240640 | consumed tokens: 492830720 | elapsed time per iteration (s): 0.76 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.168227E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.355 | TFLOPs: 20.41 | 31: iteration 950/ 23189 | consumed samples: 243200 | consumed tokens: 498073600 | elapsed time per iteration (s): 0.78 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.156617E+00 | grad norm: 0.479 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.167 | TFLOPs: 19.73 | 31: iteration 960/ 23189 | consumed samples: 245760 | consumed tokens: 503316480 | elapsed time per iteration (s): 0.76 | learning rate: 1.996E-04 | global batch size: 256 | lm loss: 4.141335E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.216 | TFLOPs: 20.46 | 31: iteration 970/ 23189 | consumed samples: 248320 | consumed tokens: 508559360 | elapsed time per iteration (s): 0.74 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.132647E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.078 | TFLOPs: 21.06 | 31: iteration 980/ 23189 | consumed samples: 250880 | consumed tokens: 513802240 | elapsed time per iteration (s): 0.74 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.126849E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.628 | TFLOPs: 21.03 | 31: iteration 990/ 23189 | consumed samples: 253440 | consumed tokens: 519045120 | elapsed time per iteration (s): 0.75 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.107866E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.933 | TFLOPs: 20.69 | 31: iteration 1000/ 23189 | consumed samples: 256000 | consumed tokens: 524288000 | elapsed time per iteration (s): 0.76 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.101878E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.968 | TFLOPs: 20.39 | 31: iteration 1010/ 23189 | consumed samples: 258560 | consumed tokens: 529530880 | elapsed time per iteration (s): 0.76 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.090655E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.515 | TFLOPs: 20.48 | 31: iteration 1020/ 23189 | consumed samples: 261120 | consumed tokens: 534773760 | elapsed time per iteration (s): 0.71 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.078827E+00 | grad norm: 0.420 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.318 | TFLOPs: 21.86 | 31: iteration 1030/ 23189 | consumed samples: 263680 | consumed tokens: 540016640 | elapsed time per iteration (s): 0.76 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.078936E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.121 | TFLOPs: 20.27 | 31: iteration 1040/ 23189 | consumed samples: 266240 | consumed tokens: 545259520 | elapsed time per iteration (s): 0.76 | learning rate: 1.995E-04 | global batch size: 256 | lm loss: 4.047680E+00 | grad norm: 0.422 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.680 | TFLOPs: 20.25 | 31: iteration 1050/ 23189 | consumed samples: 268800 | consumed tokens: 550502400 | elapsed time per iteration (s): 0.70 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.063297E+00 | grad norm: 0.428 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.917 | TFLOPs: 22.26 | 31: iteration 1060/ 23189 | consumed samples: 271360 | consumed tokens: 555745280 | elapsed time per iteration (s): 0.78 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.040005E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.011 | TFLOPs: 19.96 | 31: iteration 1070/ 23189 | consumed samples: 273920 | consumed tokens: 560988160 | elapsed time per iteration (s): 0.78 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.039388E+00 | grad norm: 0.409 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.214 | TFLOPs: 19.86 | 31: iteration 1080/ 23189 | consumed samples: 276480 | consumed tokens: 566231040 | elapsed time per iteration (s): 0.71 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.014564E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.276 | TFLOPs: 21.86 | 31: iteration 1090/ 23189 | consumed samples: 279040 | consumed tokens: 571473920 | elapsed time per iteration (s): 0.72 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.999687E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.059 | TFLOPs: 21.48 | 31: iteration 1100/ 23189 | consumed samples: 281600 | consumed tokens: 576716800 | elapsed time per iteration (s): 0.75 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 3.989804E+00 | grad norm: 0.427 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.931 | TFLOPs: 20.69 | 31: iteration 1110/ 23189 | consumed samples: 284160 | consumed tokens: 581959680 | elapsed time per iteration (s): 0.72 | learning rate: 1.994E-04 | global batch size: 256 | lm loss: 4.019645E+00 | grad norm: 0.495 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.106 | TFLOPs: 21.48 | 31: iteration 1120/ 23189 | consumed samples: 286720 | consumed tokens: 587202560 | elapsed time per iteration (s): 0.76 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.989771E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.326 | TFLOPs: 20.41 | 31: iteration 1130/ 23189 | consumed samples: 289280 | consumed tokens: 592445440 | elapsed time per iteration (s): 0.69 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.989254E+00 | grad norm: 0.407 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.819 | TFLOPs: 22.49 | 31: iteration 1140/ 23189 | consumed samples: 291840 | consumed tokens: 597688320 | elapsed time per iteration (s): 0.75 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.978173E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.308 | TFLOPs: 20.71 | 31: iteration 1150/ 23189 | consumed samples: 294400 | consumed tokens: 602931200 | elapsed time per iteration (s): 0.70 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.960086E+00 | grad norm: 0.434 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.526 | TFLOPs: 22.11 | 31: iteration 1160/ 23189 | consumed samples: 296960 | consumed tokens: 608174080 | elapsed time per iteration (s): 0.73 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.962763E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.627 | TFLOPs: 21.21 | 31: iteration 1170/ 23189 | consumed samples: 299520 | consumed tokens: 613416960 | elapsed time per iteration (s): 0.72 | learning rate: 1.993E-04 | global batch size: 256 | lm loss: 3.937011E+00 | grad norm: 0.515 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.066 | TFLOPs: 21.42 | 31: iteration 1180/ 23189 | consumed samples: 302080 | consumed tokens: 618659840 | elapsed time per iteration (s): 0.72 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.954288E+00 | grad norm: 0.440 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.414 | TFLOPs: 21.56 | 31: iteration 1190/ 23189 | consumed samples: 304640 | consumed tokens: 623902720 | elapsed time per iteration (s): 0.76 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.940105E+00 | grad norm: 0.380 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.938 | TFLOPs: 20.38 | 31: iteration 1200/ 23189 | consumed samples: 307200 | consumed tokens: 629145600 | elapsed time per iteration (s): 0.74 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.919014E+00 | grad norm: 0.388 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.149 | TFLOPs: 21.00 | 31: iteration 1210/ 23189 | consumed samples: 309760 | consumed tokens: 634388480 | elapsed time per iteration (s): 0.68 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.929606E+00 | grad norm: 0.441 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.390 | TFLOPs: 22.65 | 31: iteration 1220/ 23189 | consumed samples: 312320 | consumed tokens: 639631360 | elapsed time per iteration (s): 0.77 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.910017E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.674 | TFLOPs: 20.00 | 31: iteration 1230/ 23189 | consumed samples: 314880 | consumed tokens: 644874240 | elapsed time per iteration (s): 0.70 | learning rate: 1.992E-04 | global batch size: 256 | lm loss: 3.918365E+00 | grad norm: 0.402 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.327 | TFLOPs: 22.10 | 31: iteration 1240/ 23189 | consumed samples: 317440 | consumed tokens: 650117120 | elapsed time per iteration (s): 0.72 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.917121E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.962 | TFLOPs: 21.41 | 31: iteration 1250/ 23189 | consumed samples: 320000 | consumed tokens: 655360000 | elapsed time per iteration (s): 0.71 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.901431E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.288 | TFLOPs: 21.68 | 31: iteration 1260/ 23189 | consumed samples: 322560 | consumed tokens: 660602880 | elapsed time per iteration (s): 0.74 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.867831E+00 | grad norm: 0.384 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.191 | TFLOPs: 20.94 | 31: iteration 1270/ 23189 | consumed samples: 325120 | consumed tokens: 665845760 | elapsed time per iteration (s): 0.73 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.878546E+00 | grad norm: 0.418 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.506 | TFLOPs: 21.08 | 31: iteration 1280/ 23189 | consumed samples: 327680 | consumed tokens: 671088640 | elapsed time per iteration (s): 0.76 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.865341E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.032 | TFLOPs: 20.27 | 31: iteration 1290/ 23189 | consumed samples: 330240 | consumed tokens: 676331520 | elapsed time per iteration (s): 0.73 | learning rate: 1.991E-04 | global batch size: 256 | lm loss: 3.861393E+00 | grad norm: 0.396 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.222 | TFLOPs: 21.13 | 31: iteration 1300/ 23189 | consumed samples: 332800 | consumed tokens: 681574400 | elapsed time per iteration (s): 0.74 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.848120E+00 | grad norm: 0.391 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.140 | TFLOPs: 20.88 | 31: iteration 1310/ 23189 | consumed samples: 335360 | consumed tokens: 686817280 | elapsed time per iteration (s): 0.69 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.854434E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.039 | TFLOPs: 22.51 | 31: iteration 1320/ 23189 | consumed samples: 337920 | consumed tokens: 692060160 | elapsed time per iteration (s): 0.75 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.856953E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.666 | TFLOPs: 20.61 | 31: iteration 1330/ 23189 | consumed samples: 340480 | consumed tokens: 697303040 | elapsed time per iteration (s): 0.73 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.845877E+00 | grad norm: 0.531 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.725 | TFLOPs: 21.10 | 31: iteration 1340/ 23189 | consumed samples: 343040 | consumed tokens: 702545920 | elapsed time per iteration (s): 0.71 | learning rate: 1.990E-04 | global batch size: 256 | lm loss: 3.854105E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.848 | TFLOPs: 21.83 | 31: iteration 1350/ 23189 | consumed samples: 345600 | consumed tokens: 707788800 | elapsed time per iteration (s): 0.74 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.830103E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.867 | TFLOPs: 20.80 | 31: iteration 1360/ 23189 | consumed samples: 348160 | consumed tokens: 713031680 | elapsed time per iteration (s): 0.76 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.830252E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.677 | TFLOPs: 20.49 | 31: iteration 1370/ 23189 | consumed samples: 350720 | consumed tokens: 718274560 | elapsed time per iteration (s): 0.70 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.819186E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.806 | TFLOPs: 22.07 | 31: iteration 1380/ 23189 | consumed samples: 353280 | consumed tokens: 723517440 | elapsed time per iteration (s): 0.74 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.825618E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.043 | TFLOPs: 20.87 | 31: iteration 1390/ 23189 | consumed samples: 355840 | consumed tokens: 728760320 | elapsed time per iteration (s): 0.76 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.822703E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.530 | TFLOPs: 20.36 | 31: iteration 1400/ 23189 | consumed samples: 358400 | consumed tokens: 734003200 | elapsed time per iteration (s): 0.76 | learning rate: 1.989E-04 | global batch size: 256 | lm loss: 3.801342E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.101 | TFLOPs: 20.45 | 31: iteration 1410/ 23189 | consumed samples: 360960 | consumed tokens: 739246080 | elapsed time per iteration (s): 0.76 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.805962E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.878 | TFLOPs: 20.32 | 31: iteration 1420/ 23189 | consumed samples: 363520 | consumed tokens: 744488960 | elapsed time per iteration (s): 0.75 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.790532E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.894 | TFLOPs: 20.62 | 31: iteration 1430/ 23189 | consumed samples: 366080 | consumed tokens: 749731840 | elapsed time per iteration (s): 0.73 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.781577E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.165 | TFLOPs: 21.31 | 31: iteration 1440/ 23189 | consumed samples: 368640 | consumed tokens: 754974720 | elapsed time per iteration (s): 0.75 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.787589E+00 | grad norm: 0.382 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.719 | TFLOPs: 20.55 | 31: iteration 1450/ 23189 | consumed samples: 371200 | consumed tokens: 760217600 | elapsed time per iteration (s): 0.72 | learning rate: 1.988E-04 | global batch size: 256 | lm loss: 3.790393E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.356 | TFLOPs: 21.44 | 31: iteration 1460/ 23189 | consumed samples: 373760 | consumed tokens: 765460480 | elapsed time per iteration (s): 0.72 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.779943E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.068 | TFLOPs: 21.48 | 31: iteration 1470/ 23189 | consumed samples: 376320 | consumed tokens: 770703360 | elapsed time per iteration (s): 0.71 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.775526E+00 | grad norm: 0.439 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.718 | TFLOPs: 21.88 | 31: iteration 1480/ 23189 | consumed samples: 378880 | consumed tokens: 775946240 | elapsed time per iteration (s): 0.76 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.784263E+00 | grad norm: 0.482 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.386 | TFLOPs: 20.41 | 31: iteration 1490/ 23189 | consumed samples: 381440 | consumed tokens: 781189120 | elapsed time per iteration (s): 0.71 | learning rate: 1.987E-04 | global batch size: 256 | lm loss: 3.791169E+00 | grad norm: 0.405 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.152 | TFLOPs: 21.67 | 31: iteration 1500/ 23189 | consumed samples: 384000 | consumed tokens: 786432000 | elapsed time per iteration (s): 0.79 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.779257E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.882 | TFLOPs: 19.72 | 31: iteration 1510/ 23189 | consumed samples: 386560 | consumed tokens: 791674880 | elapsed time per iteration (s): 0.77 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.757321E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.066 | TFLOPs: 20.09 | 31: iteration 1520/ 23189 | consumed samples: 389120 | consumed tokens: 796917760 | elapsed time per iteration (s): 0.73 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.737729E+00 | grad norm: 0.368 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.682 | TFLOPs: 21.22 | 31: iteration 1530/ 23189 | consumed samples: 391680 | consumed tokens: 802160640 | elapsed time per iteration (s): 0.72 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.745238E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.290 | TFLOPs: 21.49 | 31: iteration 1540/ 23189 | consumed samples: 394240 | consumed tokens: 807403520 | elapsed time per iteration (s): 0.72 | learning rate: 1.986E-04 | global batch size: 256 | lm loss: 3.735371E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.245 | TFLOPs: 21.37 | 31: iteration 1550/ 23189 | consumed samples: 396800 | consumed tokens: 812646400 | elapsed time per iteration (s): 0.73 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.731969E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.182 | TFLOPs: 21.12 | 31: iteration 1560/ 23189 | consumed samples: 399360 | consumed tokens: 817889280 | elapsed time per iteration (s): 0.76 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.713088E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.570 | TFLOPs: 20.48 | 31: iteration 1570/ 23189 | consumed samples: 401920 | consumed tokens: 823132160 | elapsed time per iteration (s): 0.73 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.726423E+00 | grad norm: 0.446 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.725 | TFLOPs: 21.28 | 31: iteration 1580/ 23189 | consumed samples: 404480 | consumed tokens: 828375040 | elapsed time per iteration (s): 0.70 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.736590E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.276 | TFLOPs: 22.16 | 31: iteration 1590/ 23189 | consumed samples: 407040 | consumed tokens: 833617920 | elapsed time per iteration (s): 0.72 | learning rate: 1.985E-04 | global batch size: 256 | lm loss: 3.734994E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.818 | TFLOPs: 21.53 | 31: iteration 1600/ 23189 | consumed samples: 409600 | consumed tokens: 838860800 | elapsed time per iteration (s): 0.80 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.739074E+00 | grad norm: 0.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.055 | TFLOPs: 19.36 | 31: iteration 1610/ 23189 | consumed samples: 412160 | consumed tokens: 844103680 | elapsed time per iteration (s): 0.77 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.734627E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.118 | TFLOPs: 20.15 | 31: iteration 1620/ 23189 | consumed samples: 414720 | consumed tokens: 849346560 | elapsed time per iteration (s): 0.78 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.713132E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.460 | TFLOPs: 19.87 | 31: iteration 1630/ 23189 | consumed samples: 417280 | consumed tokens: 854589440 | elapsed time per iteration (s): 0.77 | learning rate: 1.984E-04 | global batch size: 256 | lm loss: 3.720930E+00 | grad norm: 0.385 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.698 | TFLOPs: 20.13 | 31: iteration 1640/ 23189 | consumed samples: 419840 | consumed tokens: 859832320 | elapsed time per iteration (s): 0.72 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.701077E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.216 | TFLOPs: 21.61 | 31: iteration 1650/ 23189 | consumed samples: 422400 | consumed tokens: 865075200 | elapsed time per iteration (s): 0.71 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.712739E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.492 | TFLOPs: 21.81 | 31: iteration 1660/ 23189 | consumed samples: 424960 | consumed tokens: 870318080 | elapsed time per iteration (s): 0.74 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.694323E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.127 | TFLOPs: 20.88 | 31: iteration 1670/ 23189 | consumed samples: 427520 | consumed tokens: 875560960 | elapsed time per iteration (s): 0.74 | learning rate: 1.983E-04 | global batch size: 256 | lm loss: 3.692746E+00 | grad norm: 0.377 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.412 | TFLOPs: 20.84 | 31: iteration 1680/ 23189 | consumed samples: 430080 | consumed tokens: 880803840 | elapsed time per iteration (s): 0.73 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.684326E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.981 | TFLOPs: 21.11 | 31: iteration 1690/ 23189 | consumed samples: 432640 | consumed tokens: 886046720 | elapsed time per iteration (s): 0.75 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.688205E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.653 | TFLOPs: 20.55 | 31: iteration 1700/ 23189 | consumed samples: 435200 | consumed tokens: 891289600 | elapsed time per iteration (s): 0.72 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.670218E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.523 | TFLOPs: 21.63 | 31: iteration 1710/ 23189 | consumed samples: 437760 | consumed tokens: 896532480 | elapsed time per iteration (s): 0.71 | learning rate: 1.982E-04 | global batch size: 256 | lm loss: 3.685950E+00 | grad norm: 0.378 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.934 | TFLOPs: 21.71 | 31: iteration 1720/ 23189 | consumed samples: 440320 | consumed tokens: 901775360 | elapsed time per iteration (s): 0.76 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.678963E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.609 | TFLOPs: 20.36 | 31: iteration 1730/ 23189 | consumed samples: 442880 | consumed tokens: 907018240 | elapsed time per iteration (s): 0.69 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.672620E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.171 | TFLOPs: 22.39 | 31: iteration 1740/ 23189 | consumed samples: 445440 | consumed tokens: 912261120 | elapsed time per iteration (s): 0.72 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.649734E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.117 | TFLOPs: 21.48 | 31: iteration 1750/ 23189 | consumed samples: 448000 | consumed tokens: 917504000 | elapsed time per iteration (s): 0.72 | learning rate: 1.981E-04 | global batch size: 256 | lm loss: 3.666208E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.765 | TFLOPs: 21.40 | 31: iteration 1760/ 23189 | consumed samples: 450560 | consumed tokens: 922746880 | elapsed time per iteration (s): 0.73 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.650009E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.752 | TFLOPs: 21.22 | 31: iteration 1770/ 23189 | consumed samples: 453120 | consumed tokens: 927989760 | elapsed time per iteration (s): 0.77 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 3.654174E+00 | grad norm: 1.074 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.183 | TFLOPs: 20.04 | 31: iteration 1780/ 23189 | consumed samples: 455680 | consumed tokens: 933232640 | elapsed time per iteration (s): 0.77 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 4.028258E+00 | grad norm: 21.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.470 | TFLOPs: 20.23 | 31: iteration 1790/ 23189 | consumed samples: 458240 | consumed tokens: 938475520 | elapsed time per iteration (s): 0.72 | learning rate: 1.980E-04 | global batch size: 256 | lm loss: 5.789049E+00 | grad norm: 6.455 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.606 | TFLOPs: 21.51 | 31: iteration 1800/ 23189 | consumed samples: 460800 | consumed tokens: 943718400 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 6.293443E+00 | grad norm: 7.910 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.591 | TFLOPs: 20.48 | 31: iteration 1810/ 23189 | consumed samples: 463360 | consumed tokens: 948961280 | elapsed time per iteration (s): 0.74 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 5.814212E+00 | grad norm: 3.438 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.625 | TFLOPs: 21.03 | 31: iteration 1820/ 23189 | consumed samples: 465920 | consumed tokens: 954204160 | elapsed time per iteration (s): 0.79 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 5.174260E+00 | grad norm: 2.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.186 | TFLOPs: 19.55 | 31: iteration 1830/ 23189 | consumed samples: 468480 | consumed tokens: 959447040 | elapsed time per iteration (s): 0.76 | learning rate: 1.979E-04 | global batch size: 256 | lm loss: 4.551811E+00 | grad norm: 1.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.414 | TFLOPs: 20.35 | 31: iteration 1840/ 23189 | consumed samples: 471040 | consumed tokens: 964689920 | elapsed time per iteration (s): 0.81 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 4.262841E+00 | grad norm: 1.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.634 | TFLOPs: 19.16 | 31: iteration 1850/ 23189 | consumed samples: 473600 | consumed tokens: 969932800 | elapsed time per iteration (s): 0.81 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 4.114497E+00 | grad norm: 0.883 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.829 | TFLOPs: 19.11 | 31: iteration 1860/ 23189 | consumed samples: 476160 | consumed tokens: 975175680 | elapsed time per iteration (s): 0.76 | learning rate: 1.978E-04 | global batch size: 256 | lm loss: 3.982254E+00 | grad norm: 0.827 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.951 | TFLOPs: 20.26 | 31: iteration 1870/ 23189 | consumed samples: 478720 | consumed tokens: 980418560 | elapsed time per iteration (s): 0.75 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.903543E+00 | grad norm: 0.445 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.745 | TFLOPs: 20.55 | 31: iteration 1880/ 23189 | consumed samples: 481280 | consumed tokens: 985661440 | elapsed time per iteration (s): 0.78 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.818737E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.798 | TFLOPs: 19.89 | 31: iteration 1890/ 23189 | consumed samples: 483840 | consumed tokens: 990904320 | elapsed time per iteration (s): 0.73 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.753924E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.534 | TFLOPs: 21.27 | 31: iteration 1900/ 23189 | consumed samples: 486400 | consumed tokens: 996147200 | elapsed time per iteration (s): 0.70 | learning rate: 1.977E-04 | global batch size: 256 | lm loss: 3.724799E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.157 | TFLOPs: 22.03 | 31: iteration 1910/ 23189 | consumed samples: 488960 | consumed tokens: 1001390080 | elapsed time per iteration (s): 0.72 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.716702E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.919 | TFLOPs: 21.65 | 31: iteration 1920/ 23189 | consumed samples: 491520 | consumed tokens: 1006632960 | elapsed time per iteration (s): 0.75 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.696370E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.692 | TFLOPs: 20.73 | 31: iteration 1930/ 23189 | consumed samples: 494080 | consumed tokens: 1011875840 | elapsed time per iteration (s): 0.74 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.679672E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.917 | TFLOPs: 21.05 | 31: iteration 1940/ 23189 | consumed samples: 496640 | consumed tokens: 1017118720 | elapsed time per iteration (s): 0.73 | learning rate: 1.976E-04 | global batch size: 256 | lm loss: 3.666883E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.621 | TFLOPs: 21.27 | 31: iteration 1950/ 23189 | consumed samples: 499200 | consumed tokens: 1022361600 | elapsed time per iteration (s): 0.69 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.670034E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.528 | TFLOPs: 22.48 | 31: iteration 1960/ 23189 | consumed samples: 501760 | consumed tokens: 1027604480 | elapsed time per iteration (s): 0.73 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.674815E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.658 | TFLOPs: 21.27 | 31: iteration 1970/ 23189 | consumed samples: 504320 | consumed tokens: 1032847360 | elapsed time per iteration (s): 0.72 | learning rate: 1.975E-04 | global batch size: 256 | lm loss: 3.656532E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.577 | TFLOPs: 21.39 | 31: iteration 1980/ 23189 | consumed samples: 506880 | consumed tokens: 1038090240 | elapsed time per iteration (s): 0.76 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.647974E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.935 | TFLOPs: 20.26 | 31: iteration 1990/ 23189 | consumed samples: 509440 | consumed tokens: 1043333120 | elapsed time per iteration (s): 0.71 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.652879E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.953 | TFLOPs: 21.90 | 0: [2023-03-15 22:20:30,224] [INFO] [logging.py:68:log_dist] [Rank 0] step=2000, skipped=0, lr=[0.00019737836889343759, 0.00019737836889343759, 0.00019737836889343759], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 2000/ 23189 | consumed samples: 512000 | consumed tokens: 1048576000 | elapsed time per iteration (s): 0.73 | learning rate: 1.974E-04 | global batch size: 256 | lm loss: 3.628616E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.427 | TFLOPs: 21.20 | 0: steps: 2000 loss: 3.6134 iter time (s): 0.752 samples/sec: 340.371 31: iteration 2010/ 23189 | consumed samples: 514560 | consumed tokens: 1053818880 | elapsed time per iteration (s): 0.73 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.647379E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.538 | TFLOPs: 21.15 | 31: iteration 2020/ 23189 | consumed samples: 517120 | consumed tokens: 1059061760 | elapsed time per iteration (s): 0.75 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.629987E+00 | grad norm: 0.450 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.333 | TFLOPs: 20.65 | 31: iteration 2030/ 23189 | consumed samples: 519680 | consumed tokens: 1064304640 | elapsed time per iteration (s): 0.71 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.637199E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.830 | TFLOPs: 21.89 | 31: iteration 2040/ 23189 | consumed samples: 522240 | consumed tokens: 1069547520 | elapsed time per iteration (s): 0.71 | learning rate: 1.973E-04 | global batch size: 256 | lm loss: 3.638449E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.943 | TFLOPs: 21.84 | 31: iteration 2050/ 23189 | consumed samples: 524800 | consumed tokens: 1074790400 | elapsed time per iteration (s): 0.73 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.624752E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.389 | TFLOPs: 21.14 | 31: iteration 2060/ 23189 | consumed samples: 527360 | consumed tokens: 1080033280 | elapsed time per iteration (s): 0.70 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.612753E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.892 | TFLOPs: 22.01 | 31: iteration 2070/ 23189 | consumed samples: 529920 | consumed tokens: 1085276160 | elapsed time per iteration (s): 0.73 | learning rate: 1.972E-04 | global batch size: 256 | lm loss: 3.598218E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.438 | TFLOPs: 21.14 | 31: iteration 2080/ 23189 | consumed samples: 532480 | consumed tokens: 1090519040 | elapsed time per iteration (s): 0.72 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.594563E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.037 | TFLOPs: 21.66 | 31: iteration 2090/ 23189 | consumed samples: 535040 | consumed tokens: 1095761920 | elapsed time per iteration (s): 0.72 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.599436E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.080 | TFLOPs: 21.60 | 31: iteration 2100/ 23189 | consumed samples: 537600 | consumed tokens: 1101004800 | elapsed time per iteration (s): 0.72 | learning rate: 1.971E-04 | global batch size: 256 | lm loss: 3.599760E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.573 | TFLOPs: 21.63 | 31: iteration 2110/ 23189 | consumed samples: 540160 | consumed tokens: 1106247680 | elapsed time per iteration (s): 0.71 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.594209E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.582 | TFLOPs: 21.75 | 31: iteration 2120/ 23189 | consumed samples: 542720 | consumed tokens: 1111490560 | elapsed time per iteration (s): 0.77 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.607553E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.189 | TFLOPs: 20.04 | 31: iteration 2130/ 23189 | consumed samples: 545280 | consumed tokens: 1116733440 | elapsed time per iteration (s): 0.79 | learning rate: 1.970E-04 | global batch size: 256 | lm loss: 3.584283E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.426 | TFLOPs: 19.63 | 31: iteration 2140/ 23189 | consumed samples: 547840 | consumed tokens: 1121976320 | elapsed time per iteration (s): 0.71 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.583887E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.831 | TFLOPs: 21.89 | 31: iteration 2150/ 23189 | consumed samples: 550400 | consumed tokens: 1127219200 | elapsed time per iteration (s): 0.72 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.586666E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.241 | TFLOPs: 21.43 | 31: iteration 2160/ 23189 | consumed samples: 552960 | consumed tokens: 1132462080 | elapsed time per iteration (s): 0.73 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.586973E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.833 | TFLOPs: 21.35 | 31: iteration 2170/ 23189 | consumed samples: 555520 | consumed tokens: 1137704960 | elapsed time per iteration (s): 0.73 | learning rate: 1.969E-04 | global batch size: 256 | lm loss: 3.567496E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.719 | TFLOPs: 21.34 | 31: iteration 2180/ 23189 | consumed samples: 558080 | consumed tokens: 1142947840 | elapsed time per iteration (s): 0.71 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.569164E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.287 | TFLOPs: 21.74 | 31: iteration 2190/ 23189 | consumed samples: 560640 | consumed tokens: 1148190720 | elapsed time per iteration (s): 0.71 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.573583E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.286 | TFLOPs: 21.68 | 31: iteration 2200/ 23189 | consumed samples: 563200 | consumed tokens: 1153433600 | elapsed time per iteration (s): 0.70 | learning rate: 1.968E-04 | global batch size: 256 | lm loss: 3.575331E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.189 | TFLOPs: 22.27 | 31: iteration 2210/ 23189 | consumed samples: 565760 | consumed tokens: 1158676480 | elapsed time per iteration (s): 0.72 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.551706E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.130 | TFLOPs: 21.42 | 31: iteration 2220/ 23189 | consumed samples: 568320 | consumed tokens: 1163919360 | elapsed time per iteration (s): 0.71 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.565674E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.676 | TFLOPs: 21.94 | 31: iteration 2230/ 23189 | consumed samples: 570880 | consumed tokens: 1169162240 | elapsed time per iteration (s): 0.72 | learning rate: 1.967E-04 | global batch size: 256 | lm loss: 3.563037E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.787 | TFLOPs: 21.58 | 31: iteration 2240/ 23189 | consumed samples: 573440 | consumed tokens: 1174405120 | elapsed time per iteration (s): 0.80 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.562533E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.354 | TFLOPs: 19.44 | 31: iteration 2250/ 23189 | consumed samples: 576000 | consumed tokens: 1179648000 | elapsed time per iteration (s): 0.73 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.559215E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.999 | TFLOPs: 21.11 | 31: iteration 2260/ 23189 | consumed samples: 578560 | consumed tokens: 1184890880 | elapsed time per iteration (s): 0.73 | learning rate: 1.966E-04 | global batch size: 256 | lm loss: 3.548569E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.269 | TFLOPs: 21.19 | 31: iteration 2270/ 23189 | consumed samples: 581120 | consumed tokens: 1190133760 | elapsed time per iteration (s): 0.74 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.549294E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.929 | TFLOPs: 20.87 | 31: iteration 2280/ 23189 | consumed samples: 583680 | consumed tokens: 1195376640 | elapsed time per iteration (s): 0.79 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.544423E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.637 | TFLOPs: 19.52 | 31: iteration 2290/ 23189 | consumed samples: 586240 | consumed tokens: 1200619520 | elapsed time per iteration (s): 0.81 | learning rate: 1.965E-04 | global batch size: 256 | lm loss: 3.546146E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.215 | TFLOPs: 19.13 | 31: iteration 2300/ 23189 | consumed samples: 588800 | consumed tokens: 1205862400 | elapsed time per iteration (s): 0.77 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.510613E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.263 | TFLOPs: 20.16 | 31: iteration 2310/ 23189 | consumed samples: 591360 | consumed tokens: 1211105280 | elapsed time per iteration (s): 0.76 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.533539E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.613 | TFLOPs: 20.36 | 31: iteration 2320/ 23189 | consumed samples: 593920 | consumed tokens: 1216348160 | elapsed time per iteration (s): 0.77 | learning rate: 1.964E-04 | global batch size: 256 | lm loss: 3.530445E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.998 | TFLOPs: 20.02 | 31: iteration 2330/ 23189 | consumed samples: 596480 | consumed tokens: 1221591040 | elapsed time per iteration (s): 0.78 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.527375E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.773 | TFLOPs: 19.83 | 31: iteration 2340/ 23189 | consumed samples: 599040 | consumed tokens: 1226833920 | elapsed time per iteration (s): 0.77 | learning rate: 1.963E-04 | global batch size: 256 | lm loss: 3.515941E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.526 | TFLOPs: 20.06 | 31: iteration 2350/ 23189 | consumed samples: 601600 | consumed tokens: 1232076800 | elapsed time per iteration (s): 0.82 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.535640E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.335 | TFLOPs: 18.83 | 31: iteration 2360/ 23189 | consumed samples: 604160 | consumed tokens: 1237319680 | elapsed time per iteration (s): 0.80 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.533867E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.527 | TFLOPs: 19.39 | 31: iteration 2370/ 23189 | consumed samples: 606720 | consumed tokens: 1242562560 | elapsed time per iteration (s): 0.82 | learning rate: 1.962E-04 | global batch size: 256 | lm loss: 3.509691E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 310.571 | TFLOPs: 18.79 | 31: iteration 2380/ 23189 | consumed samples: 609280 | consumed tokens: 1247805440 | elapsed time per iteration (s): 0.80 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.517592E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.291 | TFLOPs: 19.32 | 31: iteration 2390/ 23189 | consumed samples: 611840 | consumed tokens: 1253048320 | elapsed time per iteration (s): 0.75 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.508877E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.178 | TFLOPs: 20.64 | 31: iteration 2400/ 23189 | consumed samples: 614400 | consumed tokens: 1258291200 | elapsed time per iteration (s): 0.80 | learning rate: 1.961E-04 | global batch size: 256 | lm loss: 3.506408E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.088 | TFLOPs: 19.30 | 31: iteration 2410/ 23189 | consumed samples: 616960 | consumed tokens: 1263534080 | elapsed time per iteration (s): 0.73 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.520531E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.992 | TFLOPs: 21.29 | 31: iteration 2420/ 23189 | consumed samples: 619520 | consumed tokens: 1268776960 | elapsed time per iteration (s): 0.70 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.500668E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.170 | TFLOPs: 22.15 | 31: iteration 2430/ 23189 | consumed samples: 622080 | consumed tokens: 1274019840 | elapsed time per iteration (s): 0.69 | learning rate: 1.960E-04 | global batch size: 256 | lm loss: 3.511309E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.236 | TFLOPs: 22.34 | 31: iteration 2440/ 23189 | consumed samples: 624640 | consumed tokens: 1279262720 | elapsed time per iteration (s): 0.73 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.510130E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.746 | TFLOPs: 21.10 | 31: iteration 2450/ 23189 | consumed samples: 627200 | consumed tokens: 1284505600 | elapsed time per iteration (s): 0.72 | learning rate: 1.959E-04 | global batch size: 256 | lm loss: 3.518020E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.388 | TFLOPs: 21.44 | 31: iteration 2460/ 23189 | consumed samples: 629760 | consumed tokens: 1289748480 | elapsed time per iteration (s): 0.70 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.502199E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.461 | TFLOPs: 22.17 | 31: iteration 2470/ 23189 | consumed samples: 632320 | consumed tokens: 1294991360 | elapsed time per iteration (s): 0.71 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.490325E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.605 | TFLOPs: 21.88 | 31: iteration 2480/ 23189 | consumed samples: 634880 | consumed tokens: 1300234240 | elapsed time per iteration (s): 0.73 | learning rate: 1.958E-04 | global batch size: 256 | lm loss: 3.501565E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.953 | TFLOPs: 21.35 | 31: iteration 2490/ 23189 | consumed samples: 637440 | consumed tokens: 1305477120 | elapsed time per iteration (s): 0.70 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.498830E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.584 | TFLOPs: 22.18 | 31: iteration 2500/ 23189 | consumed samples: 640000 | consumed tokens: 1310720000 | elapsed time per iteration (s): 0.77 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.482433E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.051 | TFLOPs: 20.03 | 31: iteration 2510/ 23189 | consumed samples: 642560 | consumed tokens: 1315962880 | elapsed time per iteration (s): 0.74 | learning rate: 1.957E-04 | global batch size: 256 | lm loss: 3.482638E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.152 | TFLOPs: 21.00 | 31: iteration 2520/ 23189 | consumed samples: 645120 | consumed tokens: 1321205760 | elapsed time per iteration (s): 0.74 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.488972E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.080 | TFLOPs: 21.06 | 31: iteration 2530/ 23189 | consumed samples: 647680 | consumed tokens: 1326448640 | elapsed time per iteration (s): 0.73 | learning rate: 1.956E-04 | global batch size: 256 | lm loss: 3.483225E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.684 | TFLOPs: 21.15 | 31: iteration 2540/ 23189 | consumed samples: 650240 | consumed tokens: 1331691520 | elapsed time per iteration (s): 0.74 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.479059E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.675 | TFLOPs: 20.91 | 31: iteration 2550/ 23189 | consumed samples: 652800 | consumed tokens: 1336934400 | elapsed time per iteration (s): 0.71 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.484456E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.109 | TFLOPs: 21.73 | 31: iteration 2560/ 23189 | consumed samples: 655360 | consumed tokens: 1342177280 | elapsed time per iteration (s): 0.71 | learning rate: 1.955E-04 | global batch size: 256 | lm loss: 3.476394E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.667 | TFLOPs: 21.82 | 31: iteration 2570/ 23189 | consumed samples: 657920 | consumed tokens: 1347420160 | elapsed time per iteration (s): 0.70 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.476193E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.248 | TFLOPs: 22.16 | 31: iteration 2580/ 23189 | consumed samples: 660480 | consumed tokens: 1352663040 | elapsed time per iteration (s): 0.74 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.470852E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.075 | TFLOPs: 20.82 | 31: iteration 2590/ 23189 | consumed samples: 663040 | consumed tokens: 1357905920 | elapsed time per iteration (s): 0.73 | learning rate: 1.954E-04 | global batch size: 256 | lm loss: 3.463276E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.488 | TFLOPs: 21.32 | 31: iteration 2600/ 23189 | consumed samples: 665600 | consumed tokens: 1363148800 | elapsed time per iteration (s): 0.71 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.477530E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.338 | TFLOPs: 21.92 | 31: iteration 2610/ 23189 | consumed samples: 668160 | consumed tokens: 1368391680 | elapsed time per iteration (s): 0.75 | learning rate: 1.953E-04 | global batch size: 256 | lm loss: 3.624409E+00 | grad norm: 3.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.992 | TFLOPs: 20.69 | 31: iteration 2620/ 23189 | consumed samples: 670720 | consumed tokens: 1373634560 | elapsed time per iteration (s): 0.72 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 4.086842E+00 | grad norm: 5.047 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.163 | TFLOPs: 21.55 | 31: iteration 2630/ 23189 | consumed samples: 673280 | consumed tokens: 1378877440 | elapsed time per iteration (s): 0.75 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 4.173445E+00 | grad norm: 2.052 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.309 | TFLOPs: 20.71 | 31: iteration 2640/ 23189 | consumed samples: 675840 | consumed tokens: 1384120320 | elapsed time per iteration (s): 0.72 | learning rate: 1.952E-04 | global batch size: 256 | lm loss: 3.945331E+00 | grad norm: 1.607 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.220 | TFLOPs: 21.61 | 31: iteration 2650/ 23189 | consumed samples: 678400 | consumed tokens: 1389363200 | elapsed time per iteration (s): 0.71 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.780324E+00 | grad norm: 0.964 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.501 | TFLOPs: 21.87 | 31: iteration 2660/ 23189 | consumed samples: 680960 | consumed tokens: 1394606080 | elapsed time per iteration (s): 0.72 | learning rate: 1.951E-04 | global batch size: 256 | lm loss: 3.724672E+00 | grad norm: 0.475 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.445 | TFLOPs: 21.62 | 31: iteration 2670/ 23189 | consumed samples: 683520 | consumed tokens: 1399848960 | elapsed time per iteration (s): 0.72 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.604332E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.347 | TFLOPs: 21.50 | 31: iteration 2680/ 23189 | consumed samples: 686080 | consumed tokens: 1405091840 | elapsed time per iteration (s): 0.74 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.557776E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.116 | TFLOPs: 20.88 | 31: iteration 2690/ 23189 | consumed samples: 688640 | consumed tokens: 1410334720 | elapsed time per iteration (s): 0.71 | learning rate: 1.950E-04 | global batch size: 256 | lm loss: 3.523023E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.954 | TFLOPs: 21.84 | 31: iteration 2700/ 23189 | consumed samples: 691200 | consumed tokens: 1415577600 | elapsed time per iteration (s): 0.77 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.506930E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.476 | TFLOPs: 20.23 | 31: iteration 2710/ 23189 | consumed samples: 693760 | consumed tokens: 1420820480 | elapsed time per iteration (s): 0.71 | learning rate: 1.949E-04 | global batch size: 256 | lm loss: 3.503753E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.924 | TFLOPs: 21.90 | 31: iteration 2720/ 23189 | consumed samples: 696320 | consumed tokens: 1426063360 | elapsed time per iteration (s): 0.75 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.482516E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.383 | TFLOPs: 20.71 | 31: iteration 2730/ 23189 | consumed samples: 698880 | consumed tokens: 1431306240 | elapsed time per iteration (s): 0.75 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.483482E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.522 | TFLOPs: 20.66 | 31: iteration 2740/ 23189 | consumed samples: 701440 | consumed tokens: 1436549120 | elapsed time per iteration (s): 0.79 | learning rate: 1.948E-04 | global batch size: 256 | lm loss: 3.488361E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.204 | TFLOPs: 19.61 | 31: iteration 2750/ 23189 | consumed samples: 704000 | consumed tokens: 1441792000 | elapsed time per iteration (s): 0.78 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.478876E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.770 | TFLOPs: 19.89 | 31: iteration 2760/ 23189 | consumed samples: 706560 | consumed tokens: 1447034880 | elapsed time per iteration (s): 0.78 | learning rate: 1.947E-04 | global batch size: 256 | lm loss: 3.462810E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.676 | TFLOPs: 19.94 | 31: iteration 2770/ 23189 | consumed samples: 709120 | consumed tokens: 1452277760 | elapsed time per iteration (s): 0.76 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.468168E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.660 | TFLOPs: 20.49 | 31: iteration 2780/ 23189 | consumed samples: 711680 | consumed tokens: 1457520640 | elapsed time per iteration (s): 0.72 | learning rate: 1.946E-04 | global batch size: 256 | lm loss: 3.471815E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.298 | TFLOPs: 21.37 | 31: iteration 2790/ 23189 | consumed samples: 714240 | consumed tokens: 1462763520 | elapsed time per iteration (s): 0.72 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.452996E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.429 | TFLOPs: 21.44 | 31: iteration 2800/ 23189 | consumed samples: 716800 | consumed tokens: 1468006400 | elapsed time per iteration (s): 0.71 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.447422E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.562 | TFLOPs: 21.75 | 31: iteration 2810/ 23189 | consumed samples: 719360 | consumed tokens: 1473249280 | elapsed time per iteration (s): 0.79 | learning rate: 1.945E-04 | global batch size: 256 | lm loss: 3.460823E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.026 | TFLOPs: 19.72 | 31: iteration 2820/ 23189 | consumed samples: 721920 | consumed tokens: 1478492160 | elapsed time per iteration (s): 0.70 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.461682E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.639 | TFLOPs: 22.24 | 31: iteration 2830/ 23189 | consumed samples: 724480 | consumed tokens: 1483735040 | elapsed time per iteration (s): 0.71 | learning rate: 1.944E-04 | global batch size: 256 | lm loss: 3.443736E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.489 | TFLOPs: 21.69 | 31: iteration 2840/ 23189 | consumed samples: 727040 | consumed tokens: 1488977920 | elapsed time per iteration (s): 0.72 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.431622E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.580 | TFLOPs: 21.63 | 31: iteration 2850/ 23189 | consumed samples: 729600 | consumed tokens: 1494220800 | elapsed time per iteration (s): 0.71 | learning rate: 1.943E-04 | global batch size: 256 | lm loss: 3.453632E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.919 | TFLOPs: 21.83 | 31: iteration 2860/ 23189 | consumed samples: 732160 | consumed tokens: 1499463680 | elapsed time per iteration (s): 0.73 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.447115E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.067 | TFLOPs: 21.24 | 31: iteration 2870/ 23189 | consumed samples: 734720 | consumed tokens: 1504706560 | elapsed time per iteration (s): 0.79 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.440999E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.271 | TFLOPs: 19.50 | 31: iteration 2880/ 23189 | consumed samples: 737280 | consumed tokens: 1509949440 | elapsed time per iteration (s): 0.74 | learning rate: 1.942E-04 | global batch size: 256 | lm loss: 3.435251E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.640 | TFLOPs: 20.79 | 31: iteration 2890/ 23189 | consumed samples: 739840 | consumed tokens: 1515192320 | elapsed time per iteration (s): 0.77 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.435093E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.204 | TFLOPs: 20.22 | 31: iteration 2900/ 23189 | consumed samples: 742400 | consumed tokens: 1520435200 | elapsed time per iteration (s): 0.74 | learning rate: 1.941E-04 | global batch size: 256 | lm loss: 3.421185E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.682 | TFLOPs: 20.85 | 31: iteration 2910/ 23189 | consumed samples: 744960 | consumed tokens: 1525678080 | elapsed time per iteration (s): 0.76 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.421395E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.566 | TFLOPs: 20.36 | 31: iteration 2920/ 23189 | consumed samples: 747520 | consumed tokens: 1530920960 | elapsed time per iteration (s): 0.69 | learning rate: 1.940E-04 | global batch size: 256 | lm loss: 3.424024E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.419 | TFLOPs: 22.59 | 31: iteration 2930/ 23189 | consumed samples: 750080 | consumed tokens: 1536163840 | elapsed time per iteration (s): 0.70 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.413650E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.574 | TFLOPs: 22.00 | 31: iteration 2940/ 23189 | consumed samples: 752640 | consumed tokens: 1541406720 | elapsed time per iteration (s): 0.71 | learning rate: 1.939E-04 | global batch size: 256 | lm loss: 3.419961E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.551 | TFLOPs: 21.81 | 31: iteration 2950/ 23189 | consumed samples: 755200 | consumed tokens: 1546649600 | elapsed time per iteration (s): 0.72 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.422042E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.604 | TFLOPs: 21.51 | 31: iteration 2960/ 23189 | consumed samples: 757760 | consumed tokens: 1551892480 | elapsed time per iteration (s): 0.71 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.423552E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.292 | TFLOPs: 21.68 | 31: iteration 2970/ 23189 | consumed samples: 760320 | consumed tokens: 1557135360 | elapsed time per iteration (s): 0.70 | learning rate: 1.938E-04 | global batch size: 256 | lm loss: 3.415718E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.602 | TFLOPs: 22.00 | 31: iteration 2980/ 23189 | consumed samples: 762880 | consumed tokens: 1562378240 | elapsed time per iteration (s): 0.71 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.413305E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.619 | TFLOPs: 21.82 | 31: iteration 2990/ 23189 | consumed samples: 765440 | consumed tokens: 1567621120 | elapsed time per iteration (s): 0.69 | learning rate: 1.937E-04 | global batch size: 256 | lm loss: 3.421222E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.592 | TFLOPs: 22.54 | 31: iteration 3000/ 23189 | consumed samples: 768000 | consumed tokens: 1572864000 | elapsed time per iteration (s): 0.69 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.407003E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.767 | TFLOPs: 22.43 | 31: iteration 3010/ 23189 | consumed samples: 770560 | consumed tokens: 1578106880 | elapsed time per iteration (s): 0.70 | learning rate: 1.936E-04 | global batch size: 256 | lm loss: 3.404429E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.431 | TFLOPs: 21.99 | 31: iteration 3020/ 23189 | consumed samples: 773120 | consumed tokens: 1583349760 | elapsed time per iteration (s): 0.71 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 3.408778E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.273 | TFLOPs: 21.80 | 31: iteration 3030/ 23189 | consumed samples: 775680 | consumed tokens: 1588592640 | elapsed time per iteration (s): 0.71 | learning rate: 1.935E-04 | global batch size: 256 | lm loss: 3.429211E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.572 | TFLOPs: 21.75 | 31: iteration 3040/ 23189 | consumed samples: 778240 | consumed tokens: 1593835520 | elapsed time per iteration (s): 0.73 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.405730E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.445 | TFLOPs: 21.26 | 31: iteration 3050/ 23189 | consumed samples: 780800 | consumed tokens: 1599078400 | elapsed time per iteration (s): 0.70 | learning rate: 1.934E-04 | global batch size: 256 | lm loss: 3.387923E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.290 | TFLOPs: 22.04 | 31: iteration 3060/ 23189 | consumed samples: 783360 | consumed tokens: 1604321280 | elapsed time per iteration (s): 0.70 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.396129E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.088 | TFLOPs: 22.03 | 31: iteration 3070/ 23189 | consumed samples: 785920 | consumed tokens: 1609564160 | elapsed time per iteration (s): 0.68 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.413544E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.843 | TFLOPs: 22.62 | 31: iteration 3080/ 23189 | consumed samples: 788480 | consumed tokens: 1614807040 | elapsed time per iteration (s): 0.77 | learning rate: 1.933E-04 | global batch size: 256 | lm loss: 3.404379E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.786 | TFLOPs: 20.19 | 31: iteration 3090/ 23189 | consumed samples: 791040 | consumed tokens: 1620049920 | elapsed time per iteration (s): 0.70 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 3.390698E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.308 | TFLOPs: 22.04 | 31: iteration 3100/ 23189 | consumed samples: 793600 | consumed tokens: 1625292800 | elapsed time per iteration (s): 0.73 | learning rate: 1.932E-04 | global batch size: 256 | lm loss: 3.404263E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.577 | TFLOPs: 21.27 | 31: iteration 3110/ 23189 | consumed samples: 796160 | consumed tokens: 1630535680 | elapsed time per iteration (s): 0.73 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.393525E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.817 | TFLOPs: 21.34 | 31: iteration 3120/ 23189 | consumed samples: 798720 | consumed tokens: 1635778560 | elapsed time per iteration (s): 0.72 | learning rate: 1.931E-04 | global batch size: 256 | lm loss: 3.380706E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.745 | TFLOPs: 21.58 | 31: iteration 3130/ 23189 | consumed samples: 801280 | consumed tokens: 1641021440 | elapsed time per iteration (s): 0.69 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.396344E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.338 | TFLOPs: 22.59 | 31: iteration 3140/ 23189 | consumed samples: 803840 | consumed tokens: 1646264320 | elapsed time per iteration (s): 0.72 | learning rate: 1.930E-04 | global batch size: 256 | lm loss: 3.375480E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.466 | TFLOPs: 21.63 | 31: iteration 3150/ 23189 | consumed samples: 806400 | consumed tokens: 1651507200 | elapsed time per iteration (s): 0.70 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.401953E+00 | grad norm: 1.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.540 | TFLOPs: 21.99 | 31: iteration 3160/ 23189 | consumed samples: 808960 | consumed tokens: 1656750080 | elapsed time per iteration (s): 0.75 | learning rate: 1.929E-04 | global batch size: 256 | lm loss: 3.484539E+00 | grad norm: 0.725 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.112 | TFLOPs: 20.76 | 31: iteration 3170/ 23189 | consumed samples: 811520 | consumed tokens: 1661992960 | elapsed time per iteration (s): 0.72 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.437547E+00 | grad norm: 0.392 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.780 | TFLOPs: 21.40 | 31: iteration 3180/ 23189 | consumed samples: 814080 | consumed tokens: 1667235840 | elapsed time per iteration (s): 0.72 | learning rate: 1.928E-04 | global batch size: 256 | lm loss: 3.409647E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.162 | TFLOPs: 21.37 | 31: iteration 3190/ 23189 | consumed samples: 816640 | consumed tokens: 1672478720 | elapsed time per iteration (s): 0.73 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.403008E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.193 | TFLOPs: 21.31 | 31: iteration 3200/ 23189 | consumed samples: 819200 | consumed tokens: 1677721600 | elapsed time per iteration (s): 0.73 | learning rate: 1.927E-04 | global batch size: 256 | lm loss: 3.385967E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.583 | TFLOPs: 21.15 | 31: iteration 3210/ 23189 | consumed samples: 821760 | consumed tokens: 1682964480 | elapsed time per iteration (s): 0.72 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.395984E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.713 | TFLOPs: 21.52 | 31: iteration 3220/ 23189 | consumed samples: 824320 | consumed tokens: 1688207360 | elapsed time per iteration (s): 0.75 | learning rate: 1.926E-04 | global batch size: 256 | lm loss: 3.389375E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.639 | TFLOPs: 20.73 | 31: iteration 3230/ 23189 | consumed samples: 826880 | consumed tokens: 1693450240 | elapsed time per iteration (s): 0.73 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.382077E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.321 | TFLOPs: 21.25 | 31: iteration 3240/ 23189 | consumed samples: 829440 | consumed tokens: 1698693120 | elapsed time per iteration (s): 0.73 | learning rate: 1.925E-04 | global batch size: 256 | lm loss: 3.369915E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.834 | TFLOPs: 21.29 | 31: iteration 3250/ 23189 | consumed samples: 832000 | consumed tokens: 1703936000 | elapsed time per iteration (s): 0.71 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.364696E+00 | grad norm: 0.238 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.947 | TFLOPs: 21.96 | 31: iteration 3260/ 23189 | consumed samples: 834560 | consumed tokens: 1709178880 | elapsed time per iteration (s): 0.70 | learning rate: 1.924E-04 | global batch size: 256 | lm loss: 3.368427E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.552 | TFLOPs: 22.11 | 31: iteration 3270/ 23189 | consumed samples: 837120 | consumed tokens: 1714421760 | elapsed time per iteration (s): 0.70 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.374612E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.869 | TFLOPs: 22.07 | 31: iteration 3280/ 23189 | consumed samples: 839680 | consumed tokens: 1719664640 | elapsed time per iteration (s): 0.70 | learning rate: 1.923E-04 | global batch size: 256 | lm loss: 3.361074E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.466 | TFLOPs: 21.99 | 31: iteration 3290/ 23189 | consumed samples: 842240 | consumed tokens: 1724907520 | elapsed time per iteration (s): 0.70 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.350488E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.880 | TFLOPs: 22.26 | 31: iteration 3300/ 23189 | consumed samples: 844800 | consumed tokens: 1730150400 | elapsed time per iteration (s): 0.72 | learning rate: 1.922E-04 | global batch size: 256 | lm loss: 3.359285E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.591 | TFLOPs: 21.57 | 31: iteration 3310/ 23189 | consumed samples: 847360 | consumed tokens: 1735393280 | elapsed time per iteration (s): 0.72 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.350870E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.406 | TFLOPs: 21.44 | 31: iteration 3320/ 23189 | consumed samples: 849920 | consumed tokens: 1740636160 | elapsed time per iteration (s): 0.72 | learning rate: 1.921E-04 | global batch size: 256 | lm loss: 3.358383E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.035 | TFLOPs: 21.48 | 31: iteration 3330/ 23189 | consumed samples: 852480 | consumed tokens: 1745879040 | elapsed time per iteration (s): 0.73 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.346569E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.228 | TFLOPs: 21.19 | 31: iteration 3340/ 23189 | consumed samples: 855040 | consumed tokens: 1751121920 | elapsed time per iteration (s): 0.70 | learning rate: 1.920E-04 | global batch size: 256 | lm loss: 3.363319E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.942 | TFLOPs: 22.20 | 31: iteration 3350/ 23189 | consumed samples: 857600 | consumed tokens: 1756364800 | elapsed time per iteration (s): 0.69 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.348064E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.991 | TFLOPs: 22.44 | 31: iteration 3360/ 23189 | consumed samples: 860160 | consumed tokens: 1761607680 | elapsed time per iteration (s): 0.71 | learning rate: 1.919E-04 | global batch size: 256 | lm loss: 3.349377E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.660 | TFLOPs: 21.88 | 31: iteration 3370/ 23189 | consumed samples: 862720 | consumed tokens: 1766850560 | elapsed time per iteration (s): 0.71 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.349041E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.050 | TFLOPs: 21.84 | 31: iteration 3380/ 23189 | consumed samples: 865280 | consumed tokens: 1772093440 | elapsed time per iteration (s): 0.71 | learning rate: 1.918E-04 | global batch size: 256 | lm loss: 3.349245E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.944 | TFLOPs: 21.90 | 31: iteration 3390/ 23189 | consumed samples: 867840 | consumed tokens: 1777336320 | elapsed time per iteration (s): 0.79 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.350990E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.065 | TFLOPs: 19.73 | 31: iteration 3400/ 23189 | consumed samples: 870400 | consumed tokens: 1782579200 | elapsed time per iteration (s): 0.73 | learning rate: 1.917E-04 | global batch size: 256 | lm loss: 3.355902E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.711 | TFLOPs: 21.22 | 31: iteration 3410/ 23189 | consumed samples: 872960 | consumed tokens: 1787822080 | elapsed time per iteration (s): 0.72 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.333407E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.638 | TFLOPs: 21.52 | 31: iteration 3420/ 23189 | consumed samples: 875520 | consumed tokens: 1793064960 | elapsed time per iteration (s): 0.74 | learning rate: 1.916E-04 | global batch size: 256 | lm loss: 3.345834E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.976 | TFLOPs: 20.93 | 31: iteration 3430/ 23189 | consumed samples: 878080 | consumed tokens: 1798307840 | elapsed time per iteration (s): 0.77 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.348616E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.492 | TFLOPs: 20.24 | 31: iteration 3440/ 23189 | consumed samples: 880640 | consumed tokens: 1803550720 | elapsed time per iteration (s): 0.78 | learning rate: 1.915E-04 | global batch size: 256 | lm loss: 3.338831E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.413 | TFLOPs: 19.81 | 31: iteration 3450/ 23189 | consumed samples: 883200 | consumed tokens: 1808793600 | elapsed time per iteration (s): 0.80 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.329155E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.215 | TFLOPs: 19.31 | 31: iteration 3460/ 23189 | consumed samples: 885760 | consumed tokens: 1814036480 | elapsed time per iteration (s): 0.76 | learning rate: 1.914E-04 | global batch size: 256 | lm loss: 3.334682E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.333 | TFLOPs: 20.29 | 31: iteration 3470/ 23189 | consumed samples: 888320 | consumed tokens: 1819279360 | elapsed time per iteration (s): 0.71 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.337439E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.526 | TFLOPs: 21.87 | 31: iteration 3480/ 23189 | consumed samples: 890880 | consumed tokens: 1824522240 | elapsed time per iteration (s): 0.70 | learning rate: 1.913E-04 | global batch size: 256 | lm loss: 3.334054E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.029 | TFLOPs: 22.08 | 31: iteration 3490/ 23189 | consumed samples: 893440 | consumed tokens: 1829765120 | elapsed time per iteration (s): 0.71 | learning rate: 1.912E-04 | global batch size: 256 | lm loss: 3.338868E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.279 | TFLOPs: 21.86 | 31: iteration 3500/ 23189 | consumed samples: 896000 | consumed tokens: 1835008000 | elapsed time per iteration (s): 0.71 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.326243E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.073 | TFLOPs: 21.66 | 31: iteration 3510/ 23189 | consumed samples: 898560 | consumed tokens: 1840250880 | elapsed time per iteration (s): 0.74 | learning rate: 1.911E-04 | global batch size: 256 | lm loss: 3.328669E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.791 | TFLOPs: 20.92 | 31: iteration 3520/ 23189 | consumed samples: 901120 | consumed tokens: 1845493760 | elapsed time per iteration (s): 0.69 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.333193E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.691 | TFLOPs: 22.30 | 31: iteration 3530/ 23189 | consumed samples: 903680 | consumed tokens: 1850736640 | elapsed time per iteration (s): 0.72 | learning rate: 1.910E-04 | global batch size: 256 | lm loss: 3.315728E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.479 | TFLOPs: 21.38 | 31: iteration 3540/ 23189 | consumed samples: 906240 | consumed tokens: 1855979520 | elapsed time per iteration (s): 0.73 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.296848E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.887 | TFLOPs: 21.35 | 31: iteration 3550/ 23189 | consumed samples: 908800 | consumed tokens: 1861222400 | elapsed time per iteration (s): 0.76 | learning rate: 1.909E-04 | global batch size: 256 | lm loss: 3.316777E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.500 | TFLOPs: 20.30 | 31: iteration 3560/ 23189 | consumed samples: 911360 | consumed tokens: 1866465280 | elapsed time per iteration (s): 0.72 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.331263E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.874 | TFLOPs: 21.41 | 31: iteration 3570/ 23189 | consumed samples: 913920 | consumed tokens: 1871708160 | elapsed time per iteration (s): 0.73 | learning rate: 1.908E-04 | global batch size: 256 | lm loss: 3.315808E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.629 | TFLOPs: 21.21 | 31: iteration 3580/ 23189 | consumed samples: 916480 | consumed tokens: 1876951040 | elapsed time per iteration (s): 0.72 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.309146E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.497 | TFLOPs: 21.57 | 31: iteration 3590/ 23189 | consumed samples: 919040 | consumed tokens: 1882193920 | elapsed time per iteration (s): 0.71 | learning rate: 1.907E-04 | global batch size: 256 | lm loss: 3.311161E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.146 | TFLOPs: 21.91 | 31: iteration 3600/ 23189 | consumed samples: 921600 | consumed tokens: 1887436800 | elapsed time per iteration (s): 0.72 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.301965E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.232 | TFLOPs: 21.43 | 31: iteration 3610/ 23189 | consumed samples: 924160 | consumed tokens: 1892679680 | elapsed time per iteration (s): 0.70 | learning rate: 1.906E-04 | global batch size: 256 | lm loss: 3.303156E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.276 | TFLOPs: 21.98 | 31: iteration 3620/ 23189 | consumed samples: 926720 | consumed tokens: 1897922560 | elapsed time per iteration (s): 0.70 | learning rate: 1.905E-04 | global batch size: 256 | lm loss: 3.310339E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.044 | TFLOPs: 22.27 | 31: iteration 3630/ 23189 | consumed samples: 929280 | consumed tokens: 1903165440 | elapsed time per iteration (s): 0.69 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.290548E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.405 | TFLOPs: 22.59 | 31: iteration 3640/ 23189 | consumed samples: 931840 | consumed tokens: 1908408320 | elapsed time per iteration (s): 0.73 | learning rate: 1.904E-04 | global batch size: 256 | lm loss: 3.318460E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.953 | TFLOPs: 21.29 | 31: iteration 3650/ 23189 | consumed samples: 934400 | consumed tokens: 1913651200 | elapsed time per iteration (s): 0.71 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.315991E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.108 | TFLOPs: 21.85 | 31: iteration 3660/ 23189 | consumed samples: 936960 | consumed tokens: 1918894080 | elapsed time per iteration (s): 0.74 | learning rate: 1.903E-04 | global batch size: 256 | lm loss: 3.301311E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.947 | TFLOPs: 21.05 | 31: iteration 3670/ 23189 | consumed samples: 939520 | consumed tokens: 1924136960 | elapsed time per iteration (s): 0.81 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 3.304879E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.684 | TFLOPs: 19.10 | 31: iteration 3680/ 23189 | consumed samples: 942080 | consumed tokens: 1929379840 | elapsed time per iteration (s): 0.79 | learning rate: 1.902E-04 | global batch size: 256 | lm loss: 3.296703E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.526 | TFLOPs: 19.63 | 31: iteration 3690/ 23189 | consumed samples: 944640 | consumed tokens: 1934622720 | elapsed time per iteration (s): 0.78 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 3.304205E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.395 | TFLOPs: 19.81 | 31: iteration 3700/ 23189 | consumed samples: 947200 | consumed tokens: 1939865600 | elapsed time per iteration (s): 0.73 | learning rate: 1.901E-04 | global batch size: 256 | lm loss: 3.291132E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.309 | TFLOPs: 21.13 | 31: iteration 3710/ 23189 | consumed samples: 949760 | consumed tokens: 1945108480 | elapsed time per iteration (s): 0.79 | learning rate: 1.900E-04 | global batch size: 256 | lm loss: 3.288559E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.874 | TFLOPs: 19.59 | 31: iteration 3720/ 23189 | consumed samples: 952320 | consumed tokens: 1950351360 | elapsed time per iteration (s): 0.70 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.283855E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.148 | TFLOPs: 22.27 | 31: iteration 3730/ 23189 | consumed samples: 954880 | consumed tokens: 1955594240 | elapsed time per iteration (s): 0.76 | learning rate: 1.899E-04 | global batch size: 256 | lm loss: 3.286275E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.387 | TFLOPs: 20.47 | 31: iteration 3740/ 23189 | consumed samples: 957440 | consumed tokens: 1960837120 | elapsed time per iteration (s): 0.77 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.295887E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.657 | TFLOPs: 20.00 | 31: iteration 3750/ 23189 | consumed samples: 960000 | consumed tokens: 1966080000 | elapsed time per iteration (s): 0.80 | learning rate: 1.898E-04 | global batch size: 256 | lm loss: 3.294344E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.581 | TFLOPs: 19.45 | 31: iteration 3760/ 23189 | consumed samples: 962560 | consumed tokens: 1971322880 | elapsed time per iteration (s): 0.76 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.283871E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.673 | TFLOPs: 20.37 | 31: iteration 3770/ 23189 | consumed samples: 965120 | consumed tokens: 1976565760 | elapsed time per iteration (s): 0.72 | learning rate: 1.897E-04 | global batch size: 256 | lm loss: 3.286571E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.560 | TFLOPs: 21.51 | 31: iteration 3780/ 23189 | consumed samples: 967680 | consumed tokens: 1981808640 | elapsed time per iteration (s): 0.74 | learning rate: 1.896E-04 | global batch size: 256 | lm loss: 3.294519E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.974 | TFLOPs: 20.93 | 31: iteration 3790/ 23189 | consumed samples: 970240 | consumed tokens: 1987051520 | elapsed time per iteration (s): 0.72 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.294857E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.476 | TFLOPs: 21.38 | 31: iteration 3800/ 23189 | consumed samples: 972800 | consumed tokens: 1992294400 | elapsed time per iteration (s): 0.74 | learning rate: 1.895E-04 | global batch size: 256 | lm loss: 3.272722E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.153 | TFLOPs: 20.94 | 31: iteration 3810/ 23189 | consumed samples: 975360 | consumed tokens: 1997537280 | elapsed time per iteration (s): 0.73 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.293165E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.257 | TFLOPs: 21.25 | 31: iteration 3820/ 23189 | consumed samples: 977920 | consumed tokens: 2002780160 | elapsed time per iteration (s): 0.76 | learning rate: 1.894E-04 | global batch size: 256 | lm loss: 3.282744E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.977 | TFLOPs: 20.27 | 31: iteration 3830/ 23189 | consumed samples: 980480 | consumed tokens: 2008023040 | elapsed time per iteration (s): 0.72 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.277736E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.565 | TFLOPs: 21.51 | 31: iteration 3840/ 23189 | consumed samples: 983040 | consumed tokens: 2013265920 | elapsed time per iteration (s): 0.68 | learning rate: 1.893E-04 | global batch size: 256 | lm loss: 3.272409E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.744 | TFLOPs: 22.61 | 31: iteration 3850/ 23189 | consumed samples: 985600 | consumed tokens: 2018508800 | elapsed time per iteration (s): 0.74 | learning rate: 1.892E-04 | global batch size: 256 | lm loss: 3.272041E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.140 | TFLOPs: 20.88 | 31: iteration 3860/ 23189 | consumed samples: 988160 | consumed tokens: 2023751680 | elapsed time per iteration (s): 0.72 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.294315E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.150 | TFLOPs: 21.61 | 31: iteration 3870/ 23189 | consumed samples: 990720 | consumed tokens: 2028994560 | elapsed time per iteration (s): 0.71 | learning rate: 1.891E-04 | global batch size: 256 | lm loss: 3.271208E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.498 | TFLOPs: 21.93 | 31: iteration 3880/ 23189 | consumed samples: 993280 | consumed tokens: 2034237440 | elapsed time per iteration (s): 0.70 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 3.267363E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.936 | TFLOPs: 22.08 | 31: iteration 3890/ 23189 | consumed samples: 995840 | consumed tokens: 2039480320 | elapsed time per iteration (s): 0.69 | learning rate: 1.890E-04 | global batch size: 256 | lm loss: 3.280863E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.482 | TFLOPs: 22.53 | 31: iteration 3900/ 23189 | consumed samples: 998400 | consumed tokens: 2044723200 | elapsed time per iteration (s): 0.73 | learning rate: 1.889E-04 | global batch size: 256 | lm loss: 3.282297E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.034 | TFLOPs: 21.30 | 31: iteration 3910/ 23189 | consumed samples: 1000960 | consumed tokens: 2049966080 | elapsed time per iteration (s): 0.77 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.260458E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.154 | TFLOPs: 20.15 | 31: iteration 3920/ 23189 | consumed samples: 1003520 | consumed tokens: 2055208960 | elapsed time per iteration (s): 0.73 | learning rate: 1.888E-04 | global batch size: 256 | lm loss: 3.278707E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.889 | TFLOPs: 21.17 | 31: iteration 3930/ 23189 | consumed samples: 1006080 | consumed tokens: 2060451840 | elapsed time per iteration (s): 0.72 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.265359E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.862 | TFLOPs: 21.41 | 31: iteration 3940/ 23189 | consumed samples: 1008640 | consumed tokens: 2065694720 | elapsed time per iteration (s): 0.70 | learning rate: 1.887E-04 | global batch size: 256 | lm loss: 3.270911E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.462 | TFLOPs: 22.05 | 31: iteration 3950/ 23189 | consumed samples: 1011200 | consumed tokens: 2070937600 | elapsed time per iteration (s): 0.68 | learning rate: 1.886E-04 | global batch size: 256 | lm loss: 3.264952E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.085 | TFLOPs: 22.69 | 31: iteration 3960/ 23189 | consumed samples: 1013760 | consumed tokens: 2076180480 | elapsed time per iteration (s): 0.69 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 3.261754E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.356 | TFLOPs: 22.35 | 31: iteration 3970/ 23189 | consumed samples: 1016320 | consumed tokens: 2081423360 | elapsed time per iteration (s): 0.70 | learning rate: 1.885E-04 | global batch size: 256 | lm loss: 3.313636E+00 | grad norm: 31.666 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.253 | TFLOPs: 22.04 | 31: iteration 3980/ 23189 | consumed samples: 1018880 | consumed tokens: 2086666240 | elapsed time per iteration (s): 0.69 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 4.731768E+00 | grad norm: 13.106 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.554 | TFLOPs: 22.30 | 31: iteration 3990/ 23189 | consumed samples: 1021440 | consumed tokens: 2091909120 | elapsed time per iteration (s): 0.73 | learning rate: 1.884E-04 | global batch size: 256 | lm loss: 4.622057E+00 | grad norm: 7.805 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.431 | TFLOPs: 21.20 | 0: [2023-03-15 22:44:51,377] [INFO] [logging.py:68:log_dist] [Rank 0] step=4000, skipped=0, lr=[0.00018829757930493755, 0.00018829757930493755, 0.00018829757930493755], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 4000/ 23189 | consumed samples: 1024000 | consumed tokens: 2097152000 | elapsed time per iteration (s): 0.72 | learning rate: 1.883E-04 | global batch size: 256 | lm loss: 4.362714E+00 | grad norm: 2.912 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.047 | TFLOPs: 21.48 | 0: steps: 4000 loss: 4.1093 iter time (s): 0.727 samples/sec: 352.038 31: iteration 4010/ 23189 | consumed samples: 1026560 | consumed tokens: 2102394880 | elapsed time per iteration (s): 0.70 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 3.828445E+00 | grad norm: 1.399 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.101 | TFLOPs: 22.21 | 31: iteration 4020/ 23189 | consumed samples: 1029120 | consumed tokens: 2107637760 | elapsed time per iteration (s): 0.71 | learning rate: 1.882E-04 | global batch size: 256 | lm loss: 3.682912E+00 | grad norm: 0.918 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.194 | TFLOPs: 21.79 | 31: iteration 4030/ 23189 | consumed samples: 1031680 | consumed tokens: 2112880640 | elapsed time per iteration (s): 0.70 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.603537E+00 | grad norm: 0.666 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.546 | TFLOPs: 21.99 | 31: iteration 4040/ 23189 | consumed samples: 1034240 | consumed tokens: 2118123520 | elapsed time per iteration (s): 0.80 | learning rate: 1.881E-04 | global batch size: 256 | lm loss: 3.467260E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.649 | TFLOPs: 19.46 | 31: iteration 4050/ 23189 | consumed samples: 1036800 | consumed tokens: 2123366400 | elapsed time per iteration (s): 0.71 | learning rate: 1.880E-04 | global batch size: 256 | lm loss: 3.393965E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.836 | TFLOPs: 21.95 | 31: iteration 4060/ 23189 | consumed samples: 1039360 | consumed tokens: 2128609280 | elapsed time per iteration (s): 0.73 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 3.350926E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.647 | TFLOPs: 21.21 | 31: iteration 4070/ 23189 | consumed samples: 1041920 | consumed tokens: 2133852160 | elapsed time per iteration (s): 0.74 | learning rate: 1.879E-04 | global batch size: 256 | lm loss: 3.333062E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.513 | TFLOPs: 21.02 | 31: iteration 4080/ 23189 | consumed samples: 1044480 | consumed tokens: 2139095040 | elapsed time per iteration (s): 0.76 | learning rate: 1.878E-04 | global batch size: 256 | lm loss: 3.314447E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.037 | TFLOPs: 20.51 | 31: iteration 4090/ 23189 | consumed samples: 1047040 | consumed tokens: 2144337920 | elapsed time per iteration (s): 0.76 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.300520E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.271 | TFLOPs: 20.46 | 31: iteration 4100/ 23189 | consumed samples: 1049600 | consumed tokens: 2149580800 | elapsed time per iteration (s): 0.70 | learning rate: 1.877E-04 | global batch size: 256 | lm loss: 3.297665E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.898 | TFLOPs: 22.01 | 31: iteration 4110/ 23189 | consumed samples: 1052160 | consumed tokens: 2154823680 | elapsed time per iteration (s): 0.76 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.283453E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.889 | TFLOPs: 20.38 | 31: iteration 4120/ 23189 | consumed samples: 1054720 | consumed tokens: 2160066560 | elapsed time per iteration (s): 0.85 | learning rate: 1.876E-04 | global batch size: 256 | lm loss: 3.286849E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 302.112 | TFLOPs: 18.28 | 31: iteration 4130/ 23189 | consumed samples: 1057280 | consumed tokens: 2165309440 | elapsed time per iteration (s): 0.72 | learning rate: 1.875E-04 | global batch size: 256 | lm loss: 3.273449E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.370 | TFLOPs: 21.62 | 31: iteration 4140/ 23189 | consumed samples: 1059840 | consumed tokens: 2170552320 | elapsed time per iteration (s): 0.70 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 3.270475E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.659 | TFLOPs: 22.12 | 31: iteration 4150/ 23189 | consumed samples: 1062400 | consumed tokens: 2175795200 | elapsed time per iteration (s): 0.69 | learning rate: 1.874E-04 | global batch size: 256 | lm loss: 3.267419E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.489 | TFLOPs: 22.47 | 31: iteration 4160/ 23189 | consumed samples: 1064960 | consumed tokens: 2181038080 | elapsed time per iteration (s): 0.71 | learning rate: 1.873E-04 | global batch size: 256 | lm loss: 3.272226E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.491 | TFLOPs: 21.81 | 31: iteration 4170/ 23189 | consumed samples: 1067520 | consumed tokens: 2186280960 | elapsed time per iteration (s): 0.72 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 3.270697E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.160 | TFLOPs: 21.55 | 31: iteration 4180/ 23189 | consumed samples: 1070080 | consumed tokens: 2191523840 | elapsed time per iteration (s): 0.71 | learning rate: 1.872E-04 | global batch size: 256 | lm loss: 3.266051E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.420 | TFLOPs: 21.74 | 31: iteration 4190/ 23189 | consumed samples: 1072640 | consumed tokens: 2196766720 | elapsed time per iteration (s): 0.69 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 3.266397E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.003 | TFLOPs: 22.57 | 31: iteration 4200/ 23189 | consumed samples: 1075200 | consumed tokens: 2202009600 | elapsed time per iteration (s): 0.72 | learning rate: 1.871E-04 | global batch size: 256 | lm loss: 3.239325E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.808 | TFLOPs: 21.40 | 31: iteration 4210/ 23189 | consumed samples: 1077760 | consumed tokens: 2207252480 | elapsed time per iteration (s): 0.73 | learning rate: 1.870E-04 | global batch size: 256 | lm loss: 3.256010E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.263 | TFLOPs: 21.13 | 31: iteration 4220/ 23189 | consumed samples: 1080320 | consumed tokens: 2212495360 | elapsed time per iteration (s): 0.69 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 3.242428E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.038 | TFLOPs: 22.39 | 31: iteration 4230/ 23189 | consumed samples: 1082880 | consumed tokens: 2217738240 | elapsed time per iteration (s): 0.70 | learning rate: 1.869E-04 | global batch size: 256 | lm loss: 3.265071E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.131 | TFLOPs: 21.97 | 31: iteration 4240/ 23189 | consumed samples: 1085440 | consumed tokens: 2222981120 | elapsed time per iteration (s): 0.70 | learning rate: 1.868E-04 | global batch size: 256 | lm loss: 3.244958E+00 | grad norm: 0.260 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.088 | TFLOPs: 22.15 | 31: iteration 4250/ 23189 | consumed samples: 1088000 | consumed tokens: 2228224000 | elapsed time per iteration (s): 0.80 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 3.247725E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.603 | TFLOPs: 19.46 | 31: iteration 4260/ 23189 | consumed samples: 1090560 | consumed tokens: 2233466880 | elapsed time per iteration (s): 0.72 | learning rate: 1.867E-04 | global batch size: 256 | lm loss: 3.251185E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.546 | TFLOPs: 21.63 | 31: iteration 4270/ 23189 | consumed samples: 1093120 | consumed tokens: 2238709760 | elapsed time per iteration (s): 0.70 | learning rate: 1.866E-04 | global batch size: 256 | lm loss: 3.226063E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.833 | TFLOPs: 22.07 | 31: iteration 4280/ 23189 | consumed samples: 1095680 | consumed tokens: 2243952640 | elapsed time per iteration (s): 0.74 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.243975E+00 | grad norm: 0.236 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.287 | TFLOPs: 21.07 | 31: iteration 4290/ 23189 | consumed samples: 1098240 | consumed tokens: 2249195520 | elapsed time per iteration (s): 0.72 | learning rate: 1.865E-04 | global batch size: 256 | lm loss: 3.242855E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.256 | TFLOPs: 21.37 | 31: iteration 4300/ 23189 | consumed samples: 1100800 | consumed tokens: 2254438400 | elapsed time per iteration (s): 0.70 | learning rate: 1.864E-04 | global batch size: 256 | lm loss: 3.244587E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.959 | TFLOPs: 22.08 | 31: iteration 4310/ 23189 | consumed samples: 1103360 | consumed tokens: 2259681280 | elapsed time per iteration (s): 0.73 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.230168E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.405 | TFLOPs: 21.26 | 31: iteration 4320/ 23189 | consumed samples: 1105920 | consumed tokens: 2264924160 | elapsed time per iteration (s): 0.69 | learning rate: 1.863E-04 | global batch size: 256 | lm loss: 3.237825E+00 | grad norm: 0.249 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.294 | TFLOPs: 22.40 | 31: iteration 4330/ 23189 | consumed samples: 1108480 | consumed tokens: 2270167040 | elapsed time per iteration (s): 0.71 | learning rate: 1.862E-04 | global batch size: 256 | lm loss: 3.237127E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.348 | TFLOPs: 21.80 | 31: iteration 4340/ 23189 | consumed samples: 1111040 | consumed tokens: 2275409920 | elapsed time per iteration (s): 0.69 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.229180E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.609 | TFLOPs: 22.36 | 31: iteration 4350/ 23189 | consumed samples: 1113600 | consumed tokens: 2280652800 | elapsed time per iteration (s): 0.71 | learning rate: 1.861E-04 | global batch size: 256 | lm loss: 3.238044E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.143 | TFLOPs: 21.73 | 31: iteration 4360/ 23189 | consumed samples: 1116160 | consumed tokens: 2285895680 | elapsed time per iteration (s): 0.71 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.242289E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.858 | TFLOPs: 21.83 | 31: iteration 4370/ 23189 | consumed samples: 1118720 | consumed tokens: 2291138560 | elapsed time per iteration (s): 0.73 | learning rate: 1.860E-04 | global batch size: 256 | lm loss: 3.227459E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.444 | TFLOPs: 21.32 | 31: iteration 4380/ 23189 | consumed samples: 1121280 | consumed tokens: 2296381440 | elapsed time per iteration (s): 0.70 | learning rate: 1.859E-04 | global batch size: 256 | lm loss: 3.227521E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.924 | TFLOPs: 22.08 | 31: iteration 4390/ 23189 | consumed samples: 1123840 | consumed tokens: 2301624320 | elapsed time per iteration (s): 0.71 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.228515E+00 | grad norm: 0.528 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.882 | TFLOPs: 21.95 | 31: iteration 4400/ 23189 | consumed samples: 1126400 | consumed tokens: 2306867200 | elapsed time per iteration (s): 0.77 | learning rate: 1.858E-04 | global batch size: 256 | lm loss: 3.250449E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.358 | TFLOPs: 20.23 | 31: iteration 4410/ 23189 | consumed samples: 1128960 | consumed tokens: 2312110080 | elapsed time per iteration (s): 0.78 | learning rate: 1.857E-04 | global batch size: 256 | lm loss: 3.237350E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.312 | TFLOPs: 19.86 | 31: iteration 4420/ 23189 | consumed samples: 1131520 | consumed tokens: 2317352960 | elapsed time per iteration (s): 0.78 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.224343E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.642 | TFLOPs: 19.82 | 31: iteration 4430/ 23189 | consumed samples: 1134080 | consumed tokens: 2322595840 | elapsed time per iteration (s): 0.78 | learning rate: 1.856E-04 | global batch size: 256 | lm loss: 3.229628E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.458 | TFLOPs: 19.87 | 31: iteration 4440/ 23189 | consumed samples: 1136640 | consumed tokens: 2327838720 | elapsed time per iteration (s): 0.73 | learning rate: 1.855E-04 | global batch size: 256 | lm loss: 3.222717E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.330 | TFLOPs: 21.19 | 31: iteration 4450/ 23189 | consumed samples: 1139200 | consumed tokens: 2333081600 | elapsed time per iteration (s): 0.73 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.215133E+00 | grad norm: 0.237 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.612 | TFLOPs: 21.15 | 31: iteration 4460/ 23189 | consumed samples: 1141760 | consumed tokens: 2338324480 | elapsed time per iteration (s): 0.76 | learning rate: 1.854E-04 | global batch size: 256 | lm loss: 3.222800E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.984 | TFLOPs: 20.39 | 31: iteration 4470/ 23189 | consumed samples: 1144320 | consumed tokens: 2343567360 | elapsed time per iteration (s): 0.70 | learning rate: 1.853E-04 | global batch size: 256 | lm loss: 3.215104E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.865 | TFLOPs: 22.07 | 31: iteration 4480/ 23189 | consumed samples: 1146880 | consumed tokens: 2348810240 | elapsed time per iteration (s): 0.70 | learning rate: 1.852E-04 | global batch size: 256 | lm loss: 3.217091E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.356 | TFLOPs: 22.22 | 31: iteration 4490/ 23189 | consumed samples: 1149440 | consumed tokens: 2354053120 | elapsed time per iteration (s): 0.70 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 3.216888E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.634 | TFLOPs: 22.12 | 31: iteration 4500/ 23189 | consumed samples: 1152000 | consumed tokens: 2359296000 | elapsed time per iteration (s): 0.77 | learning rate: 1.851E-04 | global batch size: 256 | lm loss: 3.223191E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.293 | TFLOPs: 20.16 | 31: iteration 4510/ 23189 | consumed samples: 1154560 | consumed tokens: 2364538880 | elapsed time per iteration (s): 0.70 | learning rate: 1.850E-04 | global batch size: 256 | lm loss: 3.214019E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.361 | TFLOPs: 22.22 | 31: iteration 4520/ 23189 | consumed samples: 1157120 | consumed tokens: 2369781760 | elapsed time per iteration (s): 0.71 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.212132E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.952 | TFLOPs: 21.84 | 31: iteration 4530/ 23189 | consumed samples: 1159680 | consumed tokens: 2375024640 | elapsed time per iteration (s): 0.71 | learning rate: 1.849E-04 | global batch size: 256 | lm loss: 3.203107E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.625 | TFLOPs: 21.76 | 31: iteration 4540/ 23189 | consumed samples: 1162240 | consumed tokens: 2380267520 | elapsed time per iteration (s): 0.76 | learning rate: 1.848E-04 | global batch size: 256 | lm loss: 3.216648E+00 | grad norm: 0.244 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.979 | TFLOPs: 20.27 | 31: iteration 4550/ 23189 | consumed samples: 1164800 | consumed tokens: 2385510400 | elapsed time per iteration (s): 0.71 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 3.217073E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.216 | TFLOPs: 21.91 | 31: iteration 4560/ 23189 | consumed samples: 1167360 | consumed tokens: 2390753280 | elapsed time per iteration (s): 0.71 | learning rate: 1.847E-04 | global batch size: 256 | lm loss: 3.209732E+00 | grad norm: 0.252 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.144 | TFLOPs: 21.73 | 31: iteration 4570/ 23189 | consumed samples: 1169920 | consumed tokens: 2395996160 | elapsed time per iteration (s): 0.79 | learning rate: 1.846E-04 | global batch size: 256 | lm loss: 3.209739E+00 | grad norm: 0.239 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.562 | TFLOPs: 19.57 | 31: iteration 4580/ 23189 | consumed samples: 1172480 | consumed tokens: 2401239040 | elapsed time per iteration (s): 0.83 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 3.206590E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.781 | TFLOPs: 18.74 | 31: iteration 4590/ 23189 | consumed samples: 1175040 | consumed tokens: 2406481920 | elapsed time per iteration (s): 0.77 | learning rate: 1.845E-04 | global batch size: 256 | lm loss: 3.208418E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.962 | TFLOPs: 20.14 | 31: iteration 4600/ 23189 | consumed samples: 1177600 | consumed tokens: 2411724800 | elapsed time per iteration (s): 0.77 | learning rate: 1.844E-04 | global batch size: 256 | lm loss: 3.195766E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.210 | TFLOPs: 20.22 | 31: iteration 4610/ 23189 | consumed samples: 1180160 | consumed tokens: 2416967680 | elapsed time per iteration (s): 0.80 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 3.212764E+00 | grad norm: 0.254 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.547 | TFLOPs: 19.33 | 31: iteration 4620/ 23189 | consumed samples: 1182720 | consumed tokens: 2422210560 | elapsed time per iteration (s): 0.78 | learning rate: 1.843E-04 | global batch size: 256 | lm loss: 3.202024E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.537 | TFLOPs: 19.94 | 31: iteration 4630/ 23189 | consumed samples: 1185280 | consumed tokens: 2427453440 | elapsed time per iteration (s): 0.80 | learning rate: 1.842E-04 | global batch size: 256 | lm loss: 3.200761E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.300 | TFLOPs: 19.38 | 31: iteration 4640/ 23189 | consumed samples: 1187840 | consumed tokens: 2432696320 | elapsed time per iteration (s): 0.79 | learning rate: 1.841E-04 | global batch size: 256 | lm loss: 3.208507E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.042 | TFLOPs: 19.66 | 31: iteration 4650/ 23189 | consumed samples: 1190400 | consumed tokens: 2437939200 | elapsed time per iteration (s): 0.76 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 3.183785E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.119 | TFLOPs: 20.46 | 31: iteration 4660/ 23189 | consumed samples: 1192960 | consumed tokens: 2443182080 | elapsed time per iteration (s): 0.74 | learning rate: 1.840E-04 | global batch size: 256 | lm loss: 3.189213E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.187 | TFLOPs: 20.94 | 31: iteration 4670/ 23189 | consumed samples: 1195520 | consumed tokens: 2448424960 | elapsed time per iteration (s): 0.72 | learning rate: 1.839E-04 | global batch size: 256 | lm loss: 3.191167E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.057 | TFLOPs: 21.42 | 31: iteration 4680/ 23189 | consumed samples: 1198080 | consumed tokens: 2453667840 | elapsed time per iteration (s): 0.71 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 3.194286E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.911 | TFLOPs: 21.89 | 31: iteration 4690/ 23189 | consumed samples: 1200640 | consumed tokens: 2458910720 | elapsed time per iteration (s): 0.74 | learning rate: 1.838E-04 | global batch size: 256 | lm loss: 3.201120E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.108 | TFLOPs: 21.06 | 31: iteration 4700/ 23189 | consumed samples: 1203200 | consumed tokens: 2464153600 | elapsed time per iteration (s): 0.74 | learning rate: 1.837E-04 | global batch size: 256 | lm loss: 3.206357E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.486 | TFLOPs: 20.96 | 31: iteration 4710/ 23189 | consumed samples: 1205760 | consumed tokens: 2469396480 | elapsed time per iteration (s): 0.70 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 3.186963E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.800 | TFLOPs: 22.13 | 31: iteration 4720/ 23189 | consumed samples: 1208320 | consumed tokens: 2474639360 | elapsed time per iteration (s): 0.79 | learning rate: 1.836E-04 | global batch size: 256 | lm loss: 3.192334E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.566 | TFLOPs: 19.51 | 31: iteration 4730/ 23189 | consumed samples: 1210880 | consumed tokens: 2479882240 | elapsed time per iteration (s): 0.70 | learning rate: 1.835E-04 | global batch size: 256 | lm loss: 3.195122E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.316 | TFLOPs: 22.16 | 31: iteration 4740/ 23189 | consumed samples: 1213440 | consumed tokens: 2485125120 | elapsed time per iteration (s): 0.73 | learning rate: 1.834E-04 | global batch size: 256 | lm loss: 3.186733E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.051 | TFLOPs: 21.36 | 31: iteration 4750/ 23189 | consumed samples: 1216000 | consumed tokens: 2490368000 | elapsed time per iteration (s): 0.71 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 3.185728E+00 | grad norm: 0.246 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.079 | TFLOPs: 21.90 | 31: iteration 4760/ 23189 | consumed samples: 1218560 | consumed tokens: 2495610880 | elapsed time per iteration (s): 0.71 | learning rate: 1.833E-04 | global batch size: 256 | lm loss: 3.195129E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.887 | TFLOPs: 21.71 | 31: iteration 4770/ 23189 | consumed samples: 1221120 | consumed tokens: 2500853760 | elapsed time per iteration (s): 0.71 | learning rate: 1.832E-04 | global batch size: 256 | lm loss: 3.178204E+00 | grad norm: 0.247 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.808 | TFLOPs: 21.71 | 31: iteration 4780/ 23189 | consumed samples: 1223680 | consumed tokens: 2506096640 | elapsed time per iteration (s): 0.75 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 3.192496E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.893 | TFLOPs: 20.68 | 31: iteration 4790/ 23189 | consumed samples: 1226240 | consumed tokens: 2511339520 | elapsed time per iteration (s): 0.73 | learning rate: 1.831E-04 | global batch size: 256 | lm loss: 3.186974E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.689 | TFLOPs: 21.22 | 31: iteration 4800/ 23189 | consumed samples: 1228800 | consumed tokens: 2516582400 | elapsed time per iteration (s): 0.70 | learning rate: 1.830E-04 | global batch size: 256 | lm loss: 3.177061E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.855 | TFLOPs: 22.13 | 31: iteration 4810/ 23189 | consumed samples: 1231360 | consumed tokens: 2521825280 | elapsed time per iteration (s): 0.73 | learning rate: 1.829E-04 | global batch size: 256 | lm loss: 3.189386E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.826 | TFLOPs: 21.35 | 31: iteration 4820/ 23189 | consumed samples: 1233920 | consumed tokens: 2527068160 | elapsed time per iteration (s): 0.75 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 3.178919E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.604 | TFLOPs: 20.67 | 31: iteration 4830/ 23189 | consumed samples: 1236480 | consumed tokens: 2532311040 | elapsed time per iteration (s): 0.70 | learning rate: 1.828E-04 | global batch size: 256 | lm loss: 3.180262E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.382 | TFLOPs: 22.04 | 31: iteration 4840/ 23189 | consumed samples: 1239040 | consumed tokens: 2537553920 | elapsed time per iteration (s): 0.78 | learning rate: 1.827E-04 | global batch size: 256 | lm loss: 3.165300E+00 | grad norm: 0.245 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.562 | TFLOPs: 19.82 | 31: iteration 4850/ 23189 | consumed samples: 1241600 | consumed tokens: 2542796800 | elapsed time per iteration (s): 0.72 | learning rate: 1.826E-04 | global batch size: 256 | lm loss: 3.189784E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.645 | TFLOPs: 21.64 | 31: iteration 4860/ 23189 | consumed samples: 1244160 | consumed tokens: 2548039680 | elapsed time per iteration (s): 0.74 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 3.180636E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.669 | TFLOPs: 20.97 | 31: iteration 4870/ 23189 | consumed samples: 1246720 | consumed tokens: 2553282560 | elapsed time per iteration (s): 0.69 | learning rate: 1.825E-04 | global batch size: 256 | lm loss: 3.171196E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.133 | TFLOPs: 22.57 | 31: iteration 4880/ 23189 | consumed samples: 1249280 | consumed tokens: 2558525440 | elapsed time per iteration (s): 0.75 | learning rate: 1.824E-04 | global batch size: 256 | lm loss: 3.193709E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.075 | TFLOPs: 20.57 | 31: iteration 4890/ 23189 | consumed samples: 1251840 | consumed tokens: 2563768320 | elapsed time per iteration (s): 0.70 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.172052E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.273 | TFLOPs: 22.10 | 31: iteration 4900/ 23189 | consumed samples: 1254400 | consumed tokens: 2569011200 | elapsed time per iteration (s): 0.71 | learning rate: 1.823E-04 | global batch size: 256 | lm loss: 3.169903E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.258 | TFLOPs: 21.86 | 31: iteration 4910/ 23189 | consumed samples: 1256960 | consumed tokens: 2574254080 | elapsed time per iteration (s): 0.69 | learning rate: 1.822E-04 | global batch size: 256 | lm loss: 3.166868E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.618 | TFLOPs: 22.48 | 31: iteration 4920/ 23189 | consumed samples: 1259520 | consumed tokens: 2579496960 | elapsed time per iteration (s): 0.69 | learning rate: 1.821E-04 | global batch size: 256 | lm loss: 3.166208E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.626 | TFLOPs: 22.36 | 31: iteration 4930/ 23189 | consumed samples: 1262080 | consumed tokens: 2584739840 | elapsed time per iteration (s): 0.75 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 3.168620E+00 | grad norm: 0.251 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.637 | TFLOPs: 20.73 | 31: iteration 4940/ 23189 | consumed samples: 1264640 | consumed tokens: 2589982720 | elapsed time per iteration (s): 0.71 | learning rate: 1.820E-04 | global batch size: 256 | lm loss: 3.164577E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.838 | TFLOPs: 21.95 | 31: iteration 4950/ 23189 | consumed samples: 1267200 | consumed tokens: 2595225600 | elapsed time per iteration (s): 0.72 | learning rate: 1.819E-04 | global batch size: 256 | lm loss: 3.161401E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.219 | TFLOPs: 21.49 | 31: iteration 4960/ 23189 | consumed samples: 1269760 | consumed tokens: 2600468480 | elapsed time per iteration (s): 0.77 | learning rate: 1.818E-04 | global batch size: 256 | lm loss: 3.159842E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.184 | TFLOPs: 20.04 | 31: iteration 4970/ 23189 | consumed samples: 1272320 | consumed tokens: 2605711360 | elapsed time per iteration (s): 0.72 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 3.168241E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.933 | TFLOPs: 21.47 | 31: iteration 4980/ 23189 | consumed samples: 1274880 | consumed tokens: 2610954240 | elapsed time per iteration (s): 0.69 | learning rate: 1.817E-04 | global batch size: 256 | lm loss: 3.163048E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.031 | TFLOPs: 22.45 | 31: iteration 4990/ 23189 | consumed samples: 1277440 | consumed tokens: 2616197120 | elapsed time per iteration (s): 0.69 | learning rate: 1.816E-04 | global batch size: 256 | lm loss: 3.141470E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.821 | TFLOPs: 22.37 | 31: iteration 5000/ 23189 | consumed samples: 1280000 | consumed tokens: 2621440000 | elapsed time per iteration (s): 0.72 | learning rate: 1.815E-04 | global batch size: 256 | lm loss: 3.158530E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.801 | TFLOPs: 21.65 | 31: iteration 5010/ 23189 | consumed samples: 1282560 | consumed tokens: 2626682880 | elapsed time per iteration (s): 0.70 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 3.162388E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.143 | TFLOPs: 21.97 | 31: iteration 5020/ 23189 | consumed samples: 1285120 | consumed tokens: 2631925760 | elapsed time per iteration (s): 0.70 | learning rate: 1.814E-04 | global batch size: 256 | lm loss: 3.157120E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.185 | TFLOPs: 22.15 | 31: iteration 5030/ 23189 | consumed samples: 1287680 | consumed tokens: 2637168640 | elapsed time per iteration (s): 0.68 | learning rate: 1.813E-04 | global batch size: 256 | lm loss: 3.157432E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.135 | TFLOPs: 22.63 | 31: iteration 5040/ 23189 | consumed samples: 1290240 | consumed tokens: 2642411520 | elapsed time per iteration (s): 0.69 | learning rate: 1.812E-04 | global batch size: 256 | lm loss: 3.148796E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.177 | TFLOPs: 22.33 | 31: iteration 5050/ 23189 | consumed samples: 1292800 | consumed tokens: 2647654400 | elapsed time per iteration (s): 0.71 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 3.162828E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.932 | TFLOPs: 21.90 | 31: iteration 5060/ 23189 | consumed samples: 1295360 | consumed tokens: 2652897280 | elapsed time per iteration (s): 0.72 | learning rate: 1.811E-04 | global batch size: 256 | lm loss: 3.137026E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.478 | TFLOPs: 21.51 | 31: iteration 5070/ 23189 | consumed samples: 1297920 | consumed tokens: 2658140160 | elapsed time per iteration (s): 0.74 | learning rate: 1.810E-04 | global batch size: 256 | lm loss: 3.151211E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.494 | TFLOPs: 20.84 | 31: iteration 5080/ 23189 | consumed samples: 1300480 | consumed tokens: 2663383040 | elapsed time per iteration (s): 0.70 | learning rate: 1.809E-04 | global batch size: 256 | lm loss: 3.134347E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.244 | TFLOPs: 22.16 | 31: iteration 5090/ 23189 | consumed samples: 1303040 | consumed tokens: 2668625920 | elapsed time per iteration (s): 0.76 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 3.141963E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.333 | TFLOPs: 20.29 | 31: iteration 5100/ 23189 | consumed samples: 1305600 | consumed tokens: 2673868800 | elapsed time per iteration (s): 0.72 | learning rate: 1.808E-04 | global batch size: 256 | lm loss: 3.164355E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.430 | TFLOPs: 21.44 | 31: iteration 5110/ 23189 | consumed samples: 1308160 | consumed tokens: 2679111680 | elapsed time per iteration (s): 0.78 | learning rate: 1.807E-04 | global batch size: 256 | lm loss: 3.143350E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.555 | TFLOPs: 19.94 | 31: iteration 5120/ 23189 | consumed samples: 1310720 | consumed tokens: 2684354560 | elapsed time per iteration (s): 0.79 | learning rate: 1.806E-04 | global batch size: 256 | lm loss: 3.150834E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.720 | TFLOPs: 19.52 | 31: iteration 5130/ 23189 | consumed samples: 1313280 | consumed tokens: 2689597440 | elapsed time per iteration (s): 0.71 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 3.147697E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.231 | TFLOPs: 21.79 | 31: iteration 5140/ 23189 | consumed samples: 1315840 | consumed tokens: 2694840320 | elapsed time per iteration (s): 0.70 | learning rate: 1.805E-04 | global batch size: 256 | lm loss: 3.141238E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.306 | TFLOPs: 22.16 | 31: iteration 5150/ 23189 | consumed samples: 1318400 | consumed tokens: 2700083200 | elapsed time per iteration (s): 0.71 | learning rate: 1.804E-04 | global batch size: 256 | lm loss: 3.158099E+00 | grad norm: 0.243 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.671 | TFLOPs: 21.76 | 31: iteration 5160/ 23189 | consumed samples: 1320960 | consumed tokens: 2705326080 | elapsed time per iteration (s): 0.71 | learning rate: 1.803E-04 | global batch size: 256 | lm loss: 3.137805E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.468 | TFLOPs: 21.75 | 31: iteration 5170/ 23189 | consumed samples: 1323520 | consumed tokens: 2710568960 | elapsed time per iteration (s): 0.75 | learning rate: 1.802E-04 | global batch size: 256 | lm loss: 3.143968E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.714 | TFLOPs: 20.67 | 31: iteration 5180/ 23189 | consumed samples: 1326080 | consumed tokens: 2715811840 | elapsed time per iteration (s): 0.73 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.130185E+00 | grad norm: 0.248 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.938 | TFLOPs: 21.17 | 31: iteration 5190/ 23189 | consumed samples: 1328640 | consumed tokens: 2721054720 | elapsed time per iteration (s): 0.73 | learning rate: 1.801E-04 | global batch size: 256 | lm loss: 3.134583E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.952 | TFLOPs: 21.29 | 31: iteration 5200/ 23189 | consumed samples: 1331200 | consumed tokens: 2726297600 | elapsed time per iteration (s): 0.74 | learning rate: 1.800E-04 | global batch size: 256 | lm loss: 3.135257E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.082 | TFLOPs: 20.94 | 31: iteration 5210/ 23189 | consumed samples: 1333760 | consumed tokens: 2731540480 | elapsed time per iteration (s): 0.77 | learning rate: 1.799E-04 | global batch size: 256 | lm loss: 3.147342E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.960 | TFLOPs: 20.08 | 31: iteration 5220/ 23189 | consumed samples: 1336320 | consumed tokens: 2736783360 | elapsed time per iteration (s): 0.81 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 3.122098E+00 | grad norm: 0.253 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.120 | TFLOPs: 19.18 | 31: iteration 5230/ 23189 | consumed samples: 1338880 | consumed tokens: 2742026240 | elapsed time per iteration (s): 0.69 | learning rate: 1.798E-04 | global batch size: 256 | lm loss: 3.134949E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.140 | TFLOPs: 22.33 | 31: iteration 5240/ 23189 | consumed samples: 1341440 | consumed tokens: 2747269120 | elapsed time per iteration (s): 0.70 | learning rate: 1.797E-04 | global batch size: 256 | lm loss: 3.120708E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.226 | TFLOPs: 22.16 | 31: iteration 5250/ 23189 | consumed samples: 1344000 | consumed tokens: 2752512000 | elapsed time per iteration (s): 0.71 | learning rate: 1.796E-04 | global batch size: 256 | lm loss: 3.137769E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.625 | TFLOPs: 21.94 | 31: iteration 5260/ 23189 | consumed samples: 1346560 | consumed tokens: 2757754880 | elapsed time per iteration (s): 0.74 | learning rate: 1.795E-04 | global batch size: 256 | lm loss: 3.130705E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.653 | TFLOPs: 20.97 | 31: iteration 5270/ 23189 | consumed samples: 1349120 | consumed tokens: 2762997760 | elapsed time per iteration (s): 0.69 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.136066E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.742 | TFLOPs: 22.43 | 31: iteration 5280/ 23189 | consumed samples: 1351680 | consumed tokens: 2768240640 | elapsed time per iteration (s): 0.84 | learning rate: 1.794E-04 | global batch size: 256 | lm loss: 3.116783E+00 | grad norm: 0.250 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 305.752 | TFLOPs: 18.50 | 31: iteration 5290/ 23189 | consumed samples: 1354240 | consumed tokens: 2773483520 | elapsed time per iteration (s): 0.74 | learning rate: 1.793E-04 | global batch size: 256 | lm loss: 3.140178E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.252 | TFLOPs: 20.95 | 31: iteration 5300/ 23189 | consumed samples: 1356800 | consumed tokens: 2778726400 | elapsed time per iteration (s): 0.79 | learning rate: 1.792E-04 | global batch size: 256 | lm loss: 3.125550E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.776 | TFLOPs: 19.53 | 31: iteration 5310/ 23189 | consumed samples: 1359360 | consumed tokens: 2783969280 | elapsed time per iteration (s): 0.78 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.132256E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.725 | TFLOPs: 19.83 | 31: iteration 5320/ 23189 | consumed samples: 1361920 | consumed tokens: 2789212160 | elapsed time per iteration (s): 0.77 | learning rate: 1.791E-04 | global batch size: 256 | lm loss: 3.126703E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.201 | TFLOPs: 20.16 | 31: iteration 5330/ 23189 | consumed samples: 1364480 | consumed tokens: 2794455040 | elapsed time per iteration (s): 0.73 | learning rate: 1.790E-04 | global batch size: 256 | lm loss: 3.135431E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.677 | TFLOPs: 21.22 | 31: iteration 5340/ 23189 | consumed samples: 1367040 | consumed tokens: 2799697920 | elapsed time per iteration (s): 0.79 | learning rate: 1.789E-04 | global batch size: 256 | lm loss: 3.127814E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.282 | TFLOPs: 19.56 | 31: iteration 5350/ 23189 | consumed samples: 1369600 | consumed tokens: 2804940800 | elapsed time per iteration (s): 0.74 | learning rate: 1.788E-04 | global batch size: 256 | lm loss: 3.107502E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.056 | TFLOPs: 20.94 | 31: iteration 5360/ 23189 | consumed samples: 1372160 | consumed tokens: 2810183680 | elapsed time per iteration (s): 0.75 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 3.123459E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.652 | TFLOPs: 20.73 | 31: iteration 5370/ 23189 | consumed samples: 1374720 | consumed tokens: 2815426560 | elapsed time per iteration (s): 0.72 | learning rate: 1.787E-04 | global batch size: 256 | lm loss: 3.125519E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.961 | TFLOPs: 21.60 | 31: iteration 5380/ 23189 | consumed samples: 1377280 | consumed tokens: 2820669440 | elapsed time per iteration (s): 0.71 | learning rate: 1.786E-04 | global batch size: 256 | lm loss: 3.132255E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.766 | TFLOPs: 21.76 | 31: iteration 5390/ 23189 | consumed samples: 1379840 | consumed tokens: 2825912320 | elapsed time per iteration (s): 0.70 | learning rate: 1.785E-04 | global batch size: 256 | lm loss: 3.127433E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.304 | TFLOPs: 22.10 | 31: iteration 5400/ 23189 | consumed samples: 1382400 | consumed tokens: 2831155200 | elapsed time per iteration (s): 0.71 | learning rate: 1.784E-04 | global batch size: 256 | lm loss: 3.125864E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.634 | TFLOPs: 21.88 | 31: iteration 5410/ 23189 | consumed samples: 1384960 | consumed tokens: 2836398080 | elapsed time per iteration (s): 0.70 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 3.129839E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.882 | TFLOPs: 22.07 | 31: iteration 5420/ 23189 | consumed samples: 1387520 | consumed tokens: 2841640960 | elapsed time per iteration (s): 0.68 | learning rate: 1.783E-04 | global batch size: 256 | lm loss: 3.120347E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.728 | TFLOPs: 22.67 | 31: iteration 5430/ 23189 | consumed samples: 1390080 | consumed tokens: 2846883840 | elapsed time per iteration (s): 0.72 | learning rate: 1.782E-04 | global batch size: 256 | lm loss: 3.127825E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.125 | TFLOPs: 21.48 | 31: iteration 5440/ 23189 | consumed samples: 1392640 | consumed tokens: 2852126720 | elapsed time per iteration (s): 0.70 | learning rate: 1.781E-04 | global batch size: 256 | lm loss: 3.111070E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.153 | TFLOPs: 22.27 | 31: iteration 5450/ 23189 | consumed samples: 1395200 | consumed tokens: 2857369600 | elapsed time per iteration (s): 0.71 | learning rate: 1.780E-04 | global batch size: 256 | lm loss: 3.131967E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.962 | TFLOPs: 21.96 | 31: iteration 5460/ 23189 | consumed samples: 1397760 | consumed tokens: 2862612480 | elapsed time per iteration (s): 0.71 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 3.114754E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.401 | TFLOPs: 21.86 | 31: iteration 5470/ 23189 | consumed samples: 1400320 | consumed tokens: 2867855360 | elapsed time per iteration (s): 0.71 | learning rate: 1.779E-04 | global batch size: 256 | lm loss: 3.106407E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.300 | TFLOPs: 21.80 | 31: iteration 5480/ 23189 | consumed samples: 1402880 | consumed tokens: 2873098240 | elapsed time per iteration (s): 0.73 | learning rate: 1.778E-04 | global batch size: 256 | lm loss: 3.122700E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.610 | TFLOPs: 21.09 | 31: iteration 5490/ 23189 | consumed samples: 1405440 | consumed tokens: 2878341120 | elapsed time per iteration (s): 0.73 | learning rate: 1.777E-04 | global batch size: 256 | lm loss: 3.114147E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.653 | TFLOPs: 21.09 | 31: iteration 5500/ 23189 | consumed samples: 1408000 | consumed tokens: 2883584000 | elapsed time per iteration (s): 0.72 | learning rate: 1.776E-04 | global batch size: 256 | lm loss: 3.099995E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.611 | TFLOPs: 21.39 | 31: iteration 5510/ 23189 | consumed samples: 1410560 | consumed tokens: 2888826880 | elapsed time per iteration (s): 0.70 | learning rate: 1.775E-04 | global batch size: 256 | lm loss: 3.086296E+00 | grad norm: 0.241 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.517 | TFLOPs: 22.05 | 31: iteration 5520/ 23189 | consumed samples: 1413120 | consumed tokens: 2894069760 | elapsed time per iteration (s): 0.70 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.128592E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.848 | TFLOPs: 22.19 | 31: iteration 5530/ 23189 | consumed samples: 1415680 | consumed tokens: 2899312640 | elapsed time per iteration (s): 0.69 | learning rate: 1.774E-04 | global batch size: 256 | lm loss: 3.113152E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.285 | TFLOPs: 22.34 | 31: iteration 5540/ 23189 | consumed samples: 1418240 | consumed tokens: 2904555520 | elapsed time per iteration (s): 0.71 | learning rate: 1.773E-04 | global batch size: 256 | lm loss: 3.101004E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.898 | TFLOPs: 21.77 | 31: iteration 5550/ 23189 | consumed samples: 1420800 | consumed tokens: 2909798400 | elapsed time per iteration (s): 0.77 | learning rate: 1.772E-04 | global batch size: 256 | lm loss: 3.125250E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.384 | TFLOPs: 20.05 | 31: iteration 5560/ 23189 | consumed samples: 1423360 | consumed tokens: 2915041280 | elapsed time per iteration (s): 0.71 | learning rate: 1.771E-04 | global batch size: 256 | lm loss: 3.110073E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.774 | TFLOPs: 21.77 | 31: iteration 5570/ 23189 | consumed samples: 1425920 | consumed tokens: 2920284160 | elapsed time per iteration (s): 0.70 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 3.112318E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.073 | TFLOPs: 22.15 | 31: iteration 5580/ 23189 | consumed samples: 1428480 | consumed tokens: 2925527040 | elapsed time per iteration (s): 0.74 | learning rate: 1.770E-04 | global batch size: 256 | lm loss: 3.115907E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.525 | TFLOPs: 20.96 | 31: iteration 5590/ 23189 | consumed samples: 1431040 | consumed tokens: 2930769920 | elapsed time per iteration (s): 0.71 | learning rate: 1.769E-04 | global batch size: 256 | lm loss: 3.103032E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.276 | TFLOPs: 21.86 | 31: iteration 5600/ 23189 | consumed samples: 1433600 | consumed tokens: 2936012800 | elapsed time per iteration (s): 0.69 | learning rate: 1.768E-04 | global batch size: 256 | lm loss: 3.101999E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.177 | TFLOPs: 22.58 | 31: iteration 5610/ 23189 | consumed samples: 1436160 | consumed tokens: 2941255680 | elapsed time per iteration (s): 0.74 | learning rate: 1.767E-04 | global batch size: 256 | lm loss: 3.105066E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.413 | TFLOPs: 21.02 | 31: iteration 5620/ 23189 | consumed samples: 1438720 | consumed tokens: 2946498560 | elapsed time per iteration (s): 0.69 | learning rate: 1.766E-04 | global batch size: 256 | lm loss: 3.100143E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.517 | TFLOPs: 22.35 | 31: iteration 5630/ 23189 | consumed samples: 1441280 | consumed tokens: 2951741440 | elapsed time per iteration (s): 0.74 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 3.104766E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.176 | TFLOPs: 21.06 | 31: iteration 5640/ 23189 | consumed samples: 1443840 | consumed tokens: 2956984320 | elapsed time per iteration (s): 0.72 | learning rate: 1.765E-04 | global batch size: 256 | lm loss: 3.105327E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.777 | TFLOPs: 21.52 | 31: iteration 5650/ 23189 | consumed samples: 1446400 | consumed tokens: 2962227200 | elapsed time per iteration (s): 0.73 | learning rate: 1.764E-04 | global batch size: 256 | lm loss: 3.105026E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.797 | TFLOPs: 21.10 | 31: iteration 5660/ 23189 | consumed samples: 1448960 | consumed tokens: 2967470080 | elapsed time per iteration (s): 0.72 | learning rate: 1.763E-04 | global batch size: 256 | lm loss: 3.100140E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.739 | TFLOPs: 21.46 | 31: iteration 5670/ 23189 | consumed samples: 1451520 | consumed tokens: 2972712960 | elapsed time per iteration (s): 0.70 | learning rate: 1.762E-04 | global batch size: 256 | lm loss: 3.090163E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.309 | TFLOPs: 22.22 | 31: iteration 5680/ 23189 | consumed samples: 1454080 | consumed tokens: 2977955840 | elapsed time per iteration (s): 0.75 | learning rate: 1.761E-04 | global batch size: 256 | lm loss: 3.091811E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.208 | TFLOPs: 20.76 | 31: iteration 5690/ 23189 | consumed samples: 1456640 | consumed tokens: 2983198720 | elapsed time per iteration (s): 0.70 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 3.090092E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.034 | TFLOPs: 22.02 | 31: iteration 5700/ 23189 | consumed samples: 1459200 | consumed tokens: 2988441600 | elapsed time per iteration (s): 0.72 | learning rate: 1.760E-04 | global batch size: 256 | lm loss: 3.094413E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.958 | TFLOPs: 21.53 | 31: iteration 5710/ 23189 | consumed samples: 1461760 | consumed tokens: 2993684480 | elapsed time per iteration (s): 0.70 | learning rate: 1.759E-04 | global batch size: 256 | lm loss: 3.098386E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.802 | TFLOPs: 22.13 | 31: iteration 5720/ 23189 | consumed samples: 1464320 | consumed tokens: 2998927360 | elapsed time per iteration (s): 0.72 | learning rate: 1.758E-04 | global batch size: 256 | lm loss: 3.089758E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.709 | TFLOPs: 21.46 | 31: iteration 5730/ 23189 | consumed samples: 1466880 | consumed tokens: 3004170240 | elapsed time per iteration (s): 0.70 | learning rate: 1.757E-04 | global batch size: 256 | lm loss: 3.094889E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.533 | TFLOPs: 22.23 | 31: iteration 5740/ 23189 | consumed samples: 1469440 | consumed tokens: 3009413120 | elapsed time per iteration (s): 0.69 | learning rate: 1.756E-04 | global batch size: 256 | lm loss: 3.101482E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.159 | TFLOPs: 22.33 | 31: iteration 5750/ 23189 | consumed samples: 1472000 | consumed tokens: 3014656000 | elapsed time per iteration (s): 0.70 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 3.092944E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.365 | TFLOPs: 22.16 | 31: iteration 5760/ 23189 | consumed samples: 1474560 | consumed tokens: 3019898880 | elapsed time per iteration (s): 0.70 | learning rate: 1.755E-04 | global batch size: 256 | lm loss: 3.093345E+00 | grad norm: 0.256 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.390 | TFLOPs: 21.98 | 31: iteration 5770/ 23189 | consumed samples: 1477120 | consumed tokens: 3025141760 | elapsed time per iteration (s): 0.70 | learning rate: 1.754E-04 | global batch size: 256 | lm loss: 3.087959E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.573 | TFLOPs: 22.18 | 31: iteration 5780/ 23189 | consumed samples: 1479680 | consumed tokens: 3030384640 | elapsed time per iteration (s): 0.71 | learning rate: 1.753E-04 | global batch size: 256 | lm loss: 3.094734E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.847 | TFLOPs: 21.95 | 31: iteration 5790/ 23189 | consumed samples: 1482240 | consumed tokens: 3035627520 | elapsed time per iteration (s): 0.70 | learning rate: 1.752E-04 | global batch size: 256 | lm loss: 3.091479E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.495 | TFLOPs: 22.11 | 31: iteration 5800/ 23189 | consumed samples: 1484800 | consumed tokens: 3040870400 | elapsed time per iteration (s): 0.72 | learning rate: 1.751E-04 | global batch size: 256 | lm loss: 3.082775E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.107 | TFLOPs: 21.54 | 31: iteration 5810/ 23189 | consumed samples: 1487360 | consumed tokens: 3046113280 | elapsed time per iteration (s): 0.74 | learning rate: 1.750E-04 | global batch size: 256 | lm loss: 3.069701E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.302 | TFLOPs: 20.95 | 31: iteration 5820/ 23189 | consumed samples: 1489920 | consumed tokens: 3051356160 | elapsed time per iteration (s): 0.70 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 3.076798E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.127 | TFLOPs: 22.09 | 31: iteration 5830/ 23189 | consumed samples: 1492480 | consumed tokens: 3056599040 | elapsed time per iteration (s): 0.74 | learning rate: 1.749E-04 | global batch size: 256 | lm loss: 3.085846E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.959 | TFLOPs: 20.81 | 31: iteration 5840/ 23189 | consumed samples: 1495040 | consumed tokens: 3061841920 | elapsed time per iteration (s): 0.72 | learning rate: 1.748E-04 | global batch size: 256 | lm loss: 3.092723E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.609 | TFLOPs: 21.51 | 31: iteration 5850/ 23189 | consumed samples: 1497600 | consumed tokens: 3067084800 | elapsed time per iteration (s): 0.69 | learning rate: 1.747E-04 | global batch size: 256 | lm loss: 3.079625E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.299 | TFLOPs: 22.34 | 31: iteration 5860/ 23189 | consumed samples: 1500160 | consumed tokens: 3072327680 | elapsed time per iteration (s): 0.68 | learning rate: 1.746E-04 | global batch size: 256 | lm loss: 3.072859E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.340 | TFLOPs: 22.65 | 31: iteration 5870/ 23189 | consumed samples: 1502720 | consumed tokens: 3077570560 | elapsed time per iteration (s): 0.69 | learning rate: 1.745E-04 | global batch size: 256 | lm loss: 3.090257E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.262 | TFLOPs: 22.52 | 31: iteration 5880/ 23189 | consumed samples: 1505280 | consumed tokens: 3082813440 | elapsed time per iteration (s): 0.74 | learning rate: 1.744E-04 | global batch size: 256 | lm loss: 3.079696E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.932 | TFLOPs: 20.81 | 31: iteration 5890/ 23189 | consumed samples: 1507840 | consumed tokens: 3088056320 | elapsed time per iteration (s): 0.70 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 3.073961E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.571 | TFLOPs: 22.06 | 31: iteration 5900/ 23189 | consumed samples: 1510400 | consumed tokens: 3093299200 | elapsed time per iteration (s): 0.71 | learning rate: 1.743E-04 | global batch size: 256 | lm loss: 3.068274E+00 | grad norm: 0.255 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.207 | TFLOPs: 21.73 | 31: iteration 5910/ 23189 | consumed samples: 1512960 | consumed tokens: 3098542080 | elapsed time per iteration (s): 0.75 | learning rate: 1.742E-04 | global batch size: 256 | lm loss: 3.080626E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.777 | TFLOPs: 20.74 | 31: iteration 5920/ 23189 | consumed samples: 1515520 | consumed tokens: 3103784960 | elapsed time per iteration (s): 0.69 | learning rate: 1.741E-04 | global batch size: 256 | lm loss: 3.084390E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.296 | TFLOPs: 22.40 | 31: iteration 5930/ 23189 | consumed samples: 1518080 | consumed tokens: 3109027840 | elapsed time per iteration (s): 0.68 | learning rate: 1.740E-04 | global batch size: 256 | lm loss: 3.078012E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.473 | TFLOPs: 22.65 | 31: iteration 5940/ 23189 | consumed samples: 1520640 | consumed tokens: 3114270720 | elapsed time per iteration (s): 0.74 | learning rate: 1.739E-04 | global batch size: 256 | lm loss: 3.066508E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.647 | TFLOPs: 20.79 | 31: iteration 5950/ 23189 | consumed samples: 1523200 | consumed tokens: 3119513600 | elapsed time per iteration (s): 0.70 | learning rate: 1.738E-04 | global batch size: 256 | lm loss: 3.081314E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.474 | TFLOPs: 22.05 | 31: iteration 5960/ 23189 | consumed samples: 1525760 | consumed tokens: 3124756480 | elapsed time per iteration (s): 0.71 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 3.075428E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.300 | TFLOPs: 21.92 | 31: iteration 5970/ 23189 | consumed samples: 1528320 | consumed tokens: 3129999360 | elapsed time per iteration (s): 0.71 | learning rate: 1.737E-04 | global batch size: 256 | lm loss: 3.058968E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.385 | TFLOPs: 21.68 | 31: iteration 5980/ 23189 | consumed samples: 1530880 | consumed tokens: 3135242240 | elapsed time per iteration (s): 0.69 | learning rate: 1.736E-04 | global batch size: 256 | lm loss: 3.064207E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.131 | TFLOPs: 22.39 | 31: iteration 5990/ 23189 | consumed samples: 1533440 | consumed tokens: 3140485120 | elapsed time per iteration (s): 0.71 | learning rate: 1.735E-04 | global batch size: 256 | lm loss: 3.086000E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.050 | TFLOPs: 21.72 | 0: [2023-03-15 23:09:02,307] [INFO] [logging.py:68:log_dist] [Rank 0] step=6000, skipped=0, lr=[0.00017338829672946792, 0.00017338829672946792, 0.00017338829672946792], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 6000/ 23189 | consumed samples: 1536000 | consumed tokens: 3145728000 | elapsed time per iteration (s): 0.73 | learning rate: 1.734E-04 | global batch size: 256 | lm loss: 3.084642E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.327 | TFLOPs: 21.19 | 0: steps: 6000 loss: 3.1286 iter time (s): 0.722 samples/sec: 354.682 31: iteration 6010/ 23189 | consumed samples: 1538560 | consumed tokens: 3150970880 | elapsed time per iteration (s): 0.69 | learning rate: 1.733E-04 | global batch size: 256 | lm loss: 3.076219E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.512 | TFLOPs: 22.60 | 31: iteration 6020/ 23189 | consumed samples: 1541120 | consumed tokens: 3156213760 | elapsed time per iteration (s): 0.73 | learning rate: 1.732E-04 | global batch size: 256 | lm loss: 3.065713E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.699 | TFLOPs: 21.22 | 31: iteration 6030/ 23189 | consumed samples: 1543680 | consumed tokens: 3161456640 | elapsed time per iteration (s): 0.71 | learning rate: 1.731E-04 | global batch size: 256 | lm loss: 3.065765E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.393 | TFLOPs: 21.74 | 31: iteration 6040/ 23189 | consumed samples: 1546240 | consumed tokens: 3166699520 | elapsed time per iteration (s): 0.69 | learning rate: 1.730E-04 | global batch size: 256 | lm loss: 3.069991E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.371 | TFLOPs: 22.47 | 31: iteration 6050/ 23189 | consumed samples: 1548800 | consumed tokens: 3171942400 | elapsed time per iteration (s): 0.74 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 3.067723E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.102 | TFLOPs: 21.00 | 31: iteration 6060/ 23189 | consumed samples: 1551360 | consumed tokens: 3177185280 | elapsed time per iteration (s): 0.72 | learning rate: 1.729E-04 | global batch size: 256 | lm loss: 3.056626E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.405 | TFLOPs: 21.50 | 31: iteration 6070/ 23189 | consumed samples: 1553920 | consumed tokens: 3182428160 | elapsed time per iteration (s): 0.74 | learning rate: 1.728E-04 | global batch size: 256 | lm loss: 3.052452E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.012 | TFLOPs: 20.99 | 31: iteration 6080/ 23189 | consumed samples: 1556480 | consumed tokens: 3187671040 | elapsed time per iteration (s): 0.68 | learning rate: 1.727E-04 | global batch size: 256 | lm loss: 3.051134E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.248 | TFLOPs: 22.70 | 31: iteration 6090/ 23189 | consumed samples: 1559040 | consumed tokens: 3192913920 | elapsed time per iteration (s): 0.68 | learning rate: 1.726E-04 | global batch size: 256 | lm loss: 3.058637E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.731 | TFLOPs: 22.67 | 31: iteration 6100/ 23189 | consumed samples: 1561600 | consumed tokens: 3198156800 | elapsed time per iteration (s): 0.73 | learning rate: 1.725E-04 | global batch size: 256 | lm loss: 3.050897E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.064 | TFLOPs: 21.24 | 31: iteration 6110/ 23189 | consumed samples: 1564160 | consumed tokens: 3203399680 | elapsed time per iteration (s): 0.78 | learning rate: 1.724E-04 | global batch size: 256 | lm loss: 3.058607E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.881 | TFLOPs: 19.90 | 31: iteration 6120/ 23189 | consumed samples: 1566720 | consumed tokens: 3208642560 | elapsed time per iteration (s): 0.76 | learning rate: 1.723E-04 | global batch size: 256 | lm loss: 3.048363E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.173 | TFLOPs: 20.28 | 31: iteration 6130/ 23189 | consumed samples: 1569280 | consumed tokens: 3213885440 | elapsed time per iteration (s): 0.77 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 3.064057E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.040 | TFLOPs: 20.15 | 31: iteration 6140/ 23189 | consumed samples: 1571840 | consumed tokens: 3219128320 | elapsed time per iteration (s): 0.76 | learning rate: 1.722E-04 | global batch size: 256 | lm loss: 3.055183E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.192 | TFLOPs: 20.40 | 31: iteration 6150/ 23189 | consumed samples: 1574400 | consumed tokens: 3224371200 | elapsed time per iteration (s): 0.77 | learning rate: 1.721E-04 | global batch size: 256 | lm loss: 3.065403E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.279 | TFLOPs: 20.04 | 31: iteration 6160/ 23189 | consumed samples: 1576960 | consumed tokens: 3229614080 | elapsed time per iteration (s): 0.78 | learning rate: 1.720E-04 | global batch size: 256 | lm loss: 3.057762E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.408 | TFLOPs: 19.93 | 31: iteration 6170/ 23189 | consumed samples: 1579520 | consumed tokens: 3234856960 | elapsed time per iteration (s): 0.80 | learning rate: 1.719E-04 | global batch size: 256 | lm loss: 3.063673E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.216 | TFLOPs: 19.25 | 31: iteration 6180/ 23189 | consumed samples: 1582080 | consumed tokens: 3240099840 | elapsed time per iteration (s): 0.77 | learning rate: 1.718E-04 | global batch size: 256 | lm loss: 3.039349E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.859 | TFLOPs: 20.14 | 31: iteration 6190/ 23189 | consumed samples: 1584640 | consumed tokens: 3245342720 | elapsed time per iteration (s): 0.78 | learning rate: 1.717E-04 | global batch size: 256 | lm loss: 3.049548E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.869 | TFLOPs: 19.90 | 31: iteration 6200/ 23189 | consumed samples: 1587200 | consumed tokens: 3250585600 | elapsed time per iteration (s): 0.82 | learning rate: 1.716E-04 | global batch size: 256 | lm loss: 3.058439E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.900 | TFLOPs: 18.99 | 31: iteration 6210/ 23189 | consumed samples: 1589760 | consumed tokens: 3255828480 | elapsed time per iteration (s): 0.78 | learning rate: 1.715E-04 | global batch size: 256 | lm loss: 3.059113E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.865 | TFLOPs: 19.90 | 31: iteration 6220/ 23189 | consumed samples: 1592320 | consumed tokens: 3261071360 | elapsed time per iteration (s): 0.77 | learning rate: 1.714E-04 | global batch size: 256 | lm loss: 3.049998E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.428 | TFLOPs: 20.05 | 31: iteration 6230/ 23189 | consumed samples: 1594880 | consumed tokens: 3266314240 | elapsed time per iteration (s): 0.77 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 3.043447E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.118 | TFLOPs: 20.15 | 31: iteration 6240/ 23189 | consumed samples: 1597440 | consumed tokens: 3271557120 | elapsed time per iteration (s): 0.77 | learning rate: 1.713E-04 | global batch size: 256 | lm loss: 3.042864E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.446 | TFLOPs: 20.11 | 31: iteration 6250/ 23189 | consumed samples: 1600000 | consumed tokens: 3276800000 | elapsed time per iteration (s): 0.76 | learning rate: 1.712E-04 | global batch size: 256 | lm loss: 3.028140E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.456 | TFLOPs: 20.35 | 31: iteration 6260/ 23189 | consumed samples: 1602560 | consumed tokens: 3282042880 | elapsed time per iteration (s): 0.78 | learning rate: 1.711E-04 | global batch size: 256 | lm loss: 3.030783E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.949 | TFLOPs: 19.90 | 31: iteration 6270/ 23189 | consumed samples: 1605120 | consumed tokens: 3287285760 | elapsed time per iteration (s): 0.81 | learning rate: 1.710E-04 | global batch size: 256 | lm loss: 3.049253E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 317.377 | TFLOPs: 19.20 | 31: iteration 6280/ 23189 | consumed samples: 1607680 | consumed tokens: 3292528640 | elapsed time per iteration (s): 0.76 | learning rate: 1.709E-04 | global batch size: 256 | lm loss: 3.042156E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.131 | TFLOPs: 20.34 | 31: iteration 6290/ 23189 | consumed samples: 1610240 | consumed tokens: 3297771520 | elapsed time per iteration (s): 0.69 | learning rate: 1.708E-04 | global batch size: 256 | lm loss: 3.038002E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.874 | TFLOPs: 22.56 | 31: iteration 6300/ 23189 | consumed samples: 1612800 | consumed tokens: 3303014400 | elapsed time per iteration (s): 0.69 | learning rate: 1.707E-04 | global batch size: 256 | lm loss: 3.051061E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.589 | TFLOPs: 22.48 | 31: iteration 6310/ 23189 | consumed samples: 1615360 | consumed tokens: 3308257280 | elapsed time per iteration (s): 0.73 | learning rate: 1.706E-04 | global batch size: 256 | lm loss: 3.034605E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.161 | TFLOPs: 21.24 | 31: iteration 6320/ 23189 | consumed samples: 1617920 | consumed tokens: 3313500160 | elapsed time per iteration (s): 0.73 | learning rate: 1.705E-04 | global batch size: 256 | lm loss: 3.039758E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.134 | TFLOPs: 21.12 | 31: iteration 6330/ 23189 | consumed samples: 1620480 | consumed tokens: 3318743040 | elapsed time per iteration (s): 0.70 | learning rate: 1.704E-04 | global batch size: 256 | lm loss: 3.034713E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.451 | TFLOPs: 22.05 | 31: iteration 6340/ 23189 | consumed samples: 1623040 | consumed tokens: 3323985920 | elapsed time per iteration (s): 0.73 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 3.032799E+00 | grad norm: 0.259 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.257 | TFLOPs: 21.13 | 31: iteration 6350/ 23189 | consumed samples: 1625600 | consumed tokens: 3329228800 | elapsed time per iteration (s): 0.75 | learning rate: 1.703E-04 | global batch size: 256 | lm loss: 3.054879E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.321 | TFLOPs: 20.59 | 31: iteration 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353.561 | TFLOPs: 21.39 | 31: iteration 6390/ 23189 | consumed samples: 1635840 | consumed tokens: 3350200320 | elapsed time per iteration (s): 0.77 | learning rate: 1.699E-04 | global batch size: 256 | lm loss: 3.046581E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.425 | TFLOPs: 20.23 | 31: iteration 6400/ 23189 | consumed samples: 1638400 | consumed tokens: 3355443200 | elapsed time per iteration (s): 0.72 | learning rate: 1.698E-04 | global batch size: 256 | lm loss: 3.046206E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.480 | TFLOPs: 21.63 | 31: iteration 6410/ 23189 | consumed samples: 1640960 | consumed tokens: 3360686080 | elapsed time per iteration (s): 0.72 | learning rate: 1.697E-04 | global batch size: 256 | lm loss: 3.037509E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.328 | TFLOPs: 21.50 | 31: iteration 6420/ 23189 | consumed samples: 1643520 | consumed tokens: 3365928960 | elapsed time per iteration (s): 0.71 | learning rate: 1.696E-04 | global batch size: 256 | lm loss: 3.039004E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.868 | TFLOPs: 21.95 | 31: iteration 6430/ 23189 | consumed samples: 1646080 | consumed tokens: 3371171840 | elapsed time per iteration (s): 0.71 | learning rate: 1.695E-04 | global batch size: 256 | lm loss: 3.036832E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.039 | TFLOPs: 21.90 | 31: iteration 6440/ 23189 | consumed samples: 1648640 | consumed tokens: 3376414720 | elapsed time per iteration (s): 0.70 | learning rate: 1.694E-04 | global batch size: 256 | lm loss: 3.041722E+00 | grad norm: 0.265 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.005 | TFLOPs: 22.20 | 31: iteration 6450/ 23189 | consumed samples: 1651200 | consumed tokens: 3381657600 | elapsed time per iteration (s): 0.74 | learning rate: 1.693E-04 | global batch size: 256 | lm loss: 3.023053E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.856 | TFLOPs: 20.98 | 31: iteration 6460/ 23189 | consumed samples: 1653760 | consumed tokens: 3386900480 | elapsed time per iteration (s): 0.71 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 3.037768E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.270 | TFLOPs: 21.86 | 31: iteration 6470/ 23189 | consumed samples: 1656320 | consumed tokens: 3392143360 | elapsed time per iteration (s): 0.69 | learning rate: 1.692E-04 | global batch size: 256 | lm loss: 3.027244E+00 | grad norm: 0.267 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.973 | TFLOPs: 22.56 | 31: iteration 6480/ 23189 | consumed samples: 1658880 | consumed tokens: 3397386240 | elapsed time per iteration (s): 0.69 | learning rate: 1.691E-04 | global batch size: 256 | lm loss: 3.027660E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.751 | TFLOPs: 22.31 | 31: iteration 6490/ 23189 | consumed samples: 1661440 | consumed tokens: 3402629120 | elapsed time per iteration (s): 0.69 | learning rate: 1.690E-04 | global batch size: 256 | lm loss: 3.017015E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.496 | TFLOPs: 22.29 | 31: iteration 6500/ 23189 | consumed samples: 1664000 | consumed tokens: 3407872000 | elapsed time per iteration (s): 0.69 | learning rate: 1.689E-04 | global batch size: 256 | lm loss: 3.028080E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.509 | TFLOPs: 22.54 | 31: iteration 6510/ 23189 | consumed samples: 1666560 | consumed tokens: 3413114880 | elapsed time per iteration (s): 0.71 | learning rate: 1.688E-04 | global batch size: 256 | lm loss: 3.019431E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.471 | TFLOPs: 21.69 | 31: iteration 6520/ 23189 | consumed samples: 1669120 | consumed tokens: 3418357760 | elapsed time per iteration (s): 0.72 | learning rate: 1.687E-04 | global batch size: 256 | lm loss: 3.015585E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.375 | TFLOPs: 21.44 | 31: iteration 6530/ 23189 | consumed samples: 1671680 | consumed tokens: 3423600640 | elapsed time per iteration (s): 0.71 | learning rate: 1.686E-04 | global batch size: 256 | lm loss: 3.026260E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.209 | TFLOPs: 21.79 | 31: iteration 6540/ 23189 | consumed samples: 1674240 | consumed tokens: 3428843520 | elapsed time per iteration (s): 0.68 | learning rate: 1.685E-04 | global batch size: 256 | lm loss: 3.018266E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.716 | TFLOPs: 22.67 | 31: iteration 6550/ 23189 | consumed samples: 1676800 | consumed tokens: 3434086400 | elapsed time per iteration (s): 0.68 | learning rate: 1.684E-04 | global batch size: 256 | lm loss: 3.017628E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.028 | TFLOPs: 22.75 | 31: iteration 6560/ 23189 | consumed samples: 1679360 | consumed tokens: 3439329280 | elapsed time per iteration (s): 0.69 | learning rate: 1.683E-04 | global batch size: 256 | lm loss: 3.039466E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.713 | TFLOPs: 22.31 | 31: iteration 6570/ 23189 | consumed samples: 1681920 | consumed tokens: 3444572160 | elapsed time per iteration (s): 0.73 | learning rate: 1.682E-04 | global batch size: 256 | lm loss: 3.031109E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.432 | TFLOPs: 21.20 | 31: iteration 6580/ 23189 | consumed samples: 1684480 | consumed tokens: 3449815040 | elapsed time per iteration (s): 0.76 | learning rate: 1.681E-04 | global batch size: 256 | lm loss: 3.017536E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.434 | TFLOPs: 20.47 | 31: iteration 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371.556 | TFLOPs: 22.48 | 31: iteration 6620/ 23189 | consumed samples: 1694720 | consumed tokens: 3470786560 | elapsed time per iteration (s): 0.71 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 3.002637E+00 | grad norm: 0.261 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.696 | TFLOPs: 21.94 | 31: iteration 6630/ 23189 | consumed samples: 1697280 | consumed tokens: 3476029440 | elapsed time per iteration (s): 0.81 | learning rate: 1.677E-04 | global batch size: 256 | lm loss: 3.013376E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 314.981 | TFLOPs: 19.06 | 31: iteration 6640/ 23189 | consumed samples: 1699840 | consumed tokens: 3481272320 | elapsed time per iteration (s): 0.78 | learning rate: 1.676E-04 | global batch size: 256 | lm loss: 3.015789E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.432 | TFLOPs: 19.81 | 31: iteration 6650/ 23189 | consumed samples: 1702400 | consumed tokens: 3486515200 | elapsed time per iteration (s): 0.78 | learning rate: 1.675E-04 | global batch size: 256 | lm loss: 3.022001E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.927 | TFLOPs: 19.78 | 31: iteration 6660/ 23189 | consumed samples: 1704960 | consumed tokens: 3491758080 | elapsed time per iteration (s): 0.72 | learning rate: 1.674E-04 | global batch size: 256 | lm loss: 3.011583E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.967 | TFLOPs: 21.66 | 31: iteration 6670/ 23189 | consumed samples: 1707520 | consumed tokens: 3497000960 | elapsed time per iteration (s): 0.73 | learning rate: 1.673E-04 | global batch size: 256 | lm loss: 3.023955E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.554 | TFLOPs: 21.27 | 31: iteration 6680/ 23189 | consumed samples: 1710080 | consumed tokens: 3502243840 | elapsed time per iteration (s): 0.71 | learning rate: 1.672E-04 | global batch size: 256 | lm loss: 3.016523E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.676 | TFLOPs: 21.70 | 31: iteration 6690/ 23189 | consumed samples: 1712640 | consumed tokens: 3507486720 | elapsed time per iteration (s): 0.68 | learning rate: 1.671E-04 | global batch size: 256 | lm loss: 3.013421E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.749 | TFLOPs: 22.61 | 31: iteration 6700/ 23189 | consumed samples: 1715200 | consumed tokens: 3512729600 | elapsed time per iteration (s): 0.69 | learning rate: 1.670E-04 | global batch size: 256 | lm loss: 3.008526E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.117 | TFLOPs: 22.57 | 31: iteration 6710/ 23189 | consumed samples: 1717760 | consumed tokens: 3517972480 | elapsed time per iteration (s): 0.72 | learning rate: 1.669E-04 | global batch size: 256 | lm loss: 3.008600E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.562 | TFLOPs: 21.57 | 31: iteration 6720/ 23189 | consumed samples: 1720320 | consumed tokens: 3523215360 | elapsed time per iteration (s): 0.69 | learning rate: 1.668E-04 | global batch size: 256 | lm loss: 3.015634E+00 | grad norm: 0.258 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.645 | TFLOPs: 22.54 | 31: iteration 6730/ 23189 | consumed samples: 1722880 | consumed tokens: 3528458240 | elapsed time per iteration (s): 0.70 | learning rate: 1.667E-04 | global batch size: 256 | lm loss: 2.997131E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.095 | TFLOPs: 22.21 | 31: iteration 6740/ 23189 | consumed samples: 1725440 | consumed tokens: 3533701120 | elapsed time per iteration (s): 0.70 | learning rate: 1.666E-04 | global batch size: 256 | lm loss: 2.997293E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.892 | TFLOPs: 22.01 | 31: iteration 6750/ 23189 | consumed samples: 1728000 | consumed tokens: 3538944000 | elapsed time per iteration (s): 0.68 | learning rate: 1.665E-04 | global batch size: 256 | lm loss: 3.014700E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.250 | TFLOPs: 22.70 | 31: iteration 6760/ 23189 | consumed samples: 1730560 | consumed tokens: 3544186880 | elapsed time 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consumed tokens: 3559915520 | elapsed time per iteration (s): 0.74 | learning rate: 1.661E-04 | global batch size: 256 | lm loss: 3.009487E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.636 | TFLOPs: 20.97 | 31: iteration 6800/ 23189 | consumed samples: 1740800 | consumed tokens: 3565158400 | elapsed time per iteration (s): 0.68 | learning rate: 1.660E-04 | global batch size: 256 | lm loss: 3.003406E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.964 | TFLOPs: 22.62 | 31: iteration 6810/ 23189 | consumed samples: 1743360 | consumed tokens: 3570401280 | elapsed time per iteration (s): 0.69 | learning rate: 1.659E-04 | global batch size: 256 | lm loss: 3.003646E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.501 | TFLOPs: 22.54 | 31: iteration 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348.571 | TFLOPs: 21.09 | 31: iteration 6850/ 23189 | consumed samples: 1753600 | consumed tokens: 3591372800 | elapsed time per iteration (s): 0.70 | learning rate: 1.655E-04 | global batch size: 256 | lm loss: 3.012274E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.775 | TFLOPs: 22.13 | 31: iteration 6860/ 23189 | consumed samples: 1756160 | consumed tokens: 3596615680 | elapsed time per iteration (s): 0.74 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 3.000130E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.109 | TFLOPs: 21.06 | 31: iteration 6870/ 23189 | consumed samples: 1758720 | consumed tokens: 3601858560 | elapsed time per iteration (s): 0.71 | learning rate: 1.654E-04 | global batch size: 256 | lm loss: 3.000205E+00 | grad norm: 0.269 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.723 | TFLOPs: 21.70 | 31: iteration 6880/ 23189 | consumed samples: 1761280 | consumed tokens: 3607101440 | elapsed time per iteration (s): 0.71 | learning rate: 1.653E-04 | global batch size: 256 | lm loss: 3.001153E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.996 | TFLOPs: 21.96 | 31: iteration 6890/ 23189 | consumed samples: 1763840 | consumed tokens: 3612344320 | elapsed time per iteration (s): 0.69 | learning rate: 1.652E-04 | global batch size: 256 | lm loss: 2.988190E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.037 | TFLOPs: 22.57 | 31: iteration 6900/ 23189 | consumed samples: 1766400 | consumed tokens: 3617587200 | elapsed time per iteration (s): 0.68 | learning rate: 1.651E-04 | global batch size: 256 | lm loss: 2.995085E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.892 | TFLOPs: 22.62 | 31: iteration 6910/ 23189 | consumed samples: 1768960 | consumed tokens: 3622830080 | elapsed time per iteration (s): 0.74 | learning rate: 1.650E-04 | global batch size: 256 | lm loss: 2.997205E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.841 | TFLOPs: 20.86 | 31: iteration 6920/ 23189 | consumed samples: 1771520 | consumed tokens: 3628072960 | elapsed time per iteration (s): 0.70 | learning rate: 1.649E-04 | global batch size: 256 | lm loss: 3.003185E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.222 | TFLOPs: 22.16 | 31: iteration 6930/ 23189 | consumed samples: 1774080 | consumed tokens: 3633315840 | elapsed time per iteration (s): 0.70 | learning rate: 1.648E-04 | global batch size: 256 | lm loss: 2.995193E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.696 | TFLOPs: 22.06 | 31: iteration 6940/ 23189 | consumed samples: 1776640 | consumed tokens: 3638558720 | elapsed time per iteration (s): 0.73 | learning rate: 1.647E-04 | global batch size: 256 | lm loss: 2.996746E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.732 | TFLOPs: 21.22 | 31: iteration 6950/ 23189 | consumed samples: 1779200 | consumed tokens: 3643801600 | elapsed time per iteration (s): 0.69 | learning rate: 1.646E-04 | global batch size: 256 | lm loss: 2.994151E+00 | grad norm: 0.270 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.420 | TFLOPs: 22.53 | 31: iteration 6960/ 23189 | consumed samples: 1781760 | consumed tokens: 3649044480 | elapsed time per iteration (s): 0.72 | learning rate: 1.645E-04 | global batch size: 256 | lm loss: 2.992551E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.983 | TFLOPs: 21.66 | 31: iteration 6970/ 23189 | consumed samples: 1784320 | consumed tokens: 3654287360 | elapsed time per iteration (s): 0.68 | learning rate: 1.644E-04 | global batch size: 256 | lm loss: 2.992007E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.229 | TFLOPs: 22.64 | 31: iteration 6980/ 23189 | consumed samples: 1786880 | consumed tokens: 3659530240 | elapsed time per iteration (s): 0.70 | learning rate: 1.643E-04 | global batch size: 256 | lm loss: 2.993537E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.844 | TFLOPs: 22.25 | 31: iteration 6990/ 23189 | consumed samples: 1789440 | consumed tokens: 3664773120 | elapsed time per iteration (s): 0.74 | learning rate: 1.642E-04 | global batch size: 256 | lm loss: 2.996743E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.480 | TFLOPs: 20.96 | 31: iteration 7000/ 23189 | consumed samples: 1792000 | consumed tokens: 3670016000 | elapsed time per iteration (s): 0.77 | learning rate: 1.641E-04 | global batch size: 256 | lm loss: 2.989069E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.123 | TFLOPs: 20.09 | 31: iteration 7010/ 23189 | consumed samples: 1794560 | consumed tokens: 3675258880 | elapsed time per iteration (s): 0.70 | learning rate: 1.640E-04 | global batch size: 256 | lm loss: 2.992994E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.598 | TFLOPs: 22.00 | 31: iteration 7020/ 23189 | consumed samples: 1797120 | consumed tokens: 3680501760 | elapsed time per iteration (s): 0.71 | learning rate: 1.639E-04 | global batch size: 256 | lm loss: 2.977320E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.283 | TFLOPs: 21.68 | 31: iteration 7030/ 23189 | consumed samples: 1799680 | consumed tokens: 3685744640 | elapsed time per iteration (s): 0.71 | learning rate: 1.638E-04 | global batch size: 256 | lm loss: 3.005466E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.878 | TFLOPs: 21.77 | 31: iteration 7040/ 23189 | consumed samples: 1802240 | consumed tokens: 3690987520 | elapsed time per iteration (s): 0.72 | learning rate: 1.637E-04 | global batch size: 256 | lm loss: 2.998214E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.613 | TFLOPs: 21.57 | 31: iteration 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370.254 | TFLOPs: 22.40 | 31: iteration 7080/ 23189 | consumed samples: 1812480 | consumed tokens: 3711959040 | elapsed time per iteration (s): 0.69 | learning rate: 1.633E-04 | global batch size: 256 | lm loss: 2.977924E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.958 | TFLOPs: 22.44 | 31: iteration 7090/ 23189 | consumed samples: 1815040 | consumed tokens: 3717201920 | elapsed time per iteration (s): 0.68 | learning rate: 1.632E-04 | global batch size: 256 | lm loss: 2.992059E+00 | grad norm: 0.264 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.137 | TFLOPs: 22.63 | 31: iteration 7100/ 23189 | consumed samples: 1817600 | consumed tokens: 3722444800 | elapsed time per iteration (s): 0.72 | learning rate: 1.631E-04 | global batch size: 256 | lm loss: 2.982526E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.625 | TFLOPs: 21.39 | 31: iteration 7110/ 23189 | consumed samples: 1820160 | consumed tokens: 3727687680 | elapsed time per iteration (s): 0.70 | learning rate: 1.630E-04 | global batch size: 256 | lm loss: 2.985552E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.172 | TFLOPs: 22.03 | 31: iteration 7120/ 23189 | consumed samples: 1822720 | consumed tokens: 3732930560 | elapsed time per iteration (s): 0.69 | learning rate: 1.629E-04 | global batch size: 256 | lm loss: 2.978180E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.131 | TFLOPs: 22.57 | 31: iteration 7130/ 23189 | consumed samples: 1825280 | consumed tokens: 3738173440 | elapsed time per iteration (s): 0.68 | learning rate: 1.628E-04 | global batch size: 256 | lm loss: 2.998674E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.772 | TFLOPs: 22.85 | 31: iteration 7140/ 23189 | consumed samples: 1827840 | consumed tokens: 3743416320 | elapsed time per iteration (s): 0.71 | learning rate: 1.627E-04 | global batch size: 256 | lm loss: 2.979999E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.425 | TFLOPs: 21.80 | 31: iteration 7150/ 23189 | consumed samples: 1830400 | consumed tokens: 3748659200 | elapsed time per iteration (s): 0.71 | learning rate: 1.626E-04 | global batch size: 256 | lm loss: 2.975967E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.365 | TFLOPs: 21.92 | 31: iteration 7160/ 23189 | consumed samples: 1832960 | consumed tokens: 3753902080 | elapsed time per iteration (s): 0.70 | learning rate: 1.625E-04 | global batch size: 256 | lm loss: 2.966302E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.737 | TFLOPs: 22.07 | 31: iteration 7170/ 23189 | consumed samples: 1835520 | consumed tokens: 3759144960 | elapsed time per iteration (s): 0.69 | learning rate: 1.624E-04 | global batch size: 256 | lm loss: 2.978047E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.236 | TFLOPs: 22.40 | 31: iteration 7180/ 23189 | consumed samples: 1838080 | consumed tokens: 3764387840 | elapsed time per iteration (s): 0.70 | learning rate: 1.623E-04 | global batch size: 256 | lm loss: 2.976076E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.066 | TFLOPs: 22.27 | 31: iteration 7190/ 23189 | consumed samples: 1840640 | consumed tokens: 3769630720 | elapsed time per iteration (s): 0.69 | learning rate: 1.622E-04 | global batch size: 256 | lm loss: 2.982852E+00 | grad norm: 0.262 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.130 | TFLOPs: 22.39 | 31: iteration 7200/ 23189 | consumed samples: 1843200 | consumed tokens: 3774873600 | elapsed time per iteration (s): 0.70 | learning rate: 1.621E-04 | global batch size: 256 | lm loss: 2.975447E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.283 | TFLOPs: 21.98 | 31: iteration 7210/ 23189 | consumed samples: 1845760 | consumed tokens: 3780116480 | elapsed time per iteration (s): 0.70 | learning rate: 1.620E-04 | global batch size: 256 | lm loss: 2.973713E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.295 | TFLOPs: 22.04 | 31: iteration 7220/ 23189 | consumed samples: 1848320 | consumed tokens: 3785359360 | elapsed time per iteration (s): 0.68 | learning rate: 1.619E-04 | global batch size: 256 | lm loss: 2.971178E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.508 | TFLOPs: 22.84 | 31: iteration 7230/ 23189 | consumed samples: 1850880 | consumed tokens: 3790602240 | elapsed time per iteration (s): 0.71 | learning rate: 1.618E-04 | global batch size: 256 | lm loss: 2.982006E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.045 | TFLOPs: 21.72 | 31: iteration 7240/ 23189 | consumed samples: 1853440 | consumed tokens: 3795845120 | elapsed time per iteration (s): 0.69 | learning rate: 1.617E-04 | global batch size: 256 | lm loss: 2.975114E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.691 | TFLOPs: 22.61 | 31: iteration 7250/ 23189 | consumed samples: 1856000 | consumed tokens: 3801088000 | elapsed time per iteration (s): 0.69 | learning rate: 1.616E-04 | global batch size: 256 | lm loss: 2.981452E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.318 | TFLOPs: 22.52 | 31: iteration 7260/ 23189 | consumed samples: 1858560 | consumed tokens: 3806330880 | elapsed time per iteration (s): 0.69 | learning rate: 1.615E-04 | global batch size: 256 | lm loss: 2.980669E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.673 | TFLOPs: 22.36 | 31: iteration 7270/ 23189 | consumed samples: 1861120 | consumed tokens: 3811573760 | elapsed time per iteration (s): 0.69 | learning rate: 1.614E-04 | global batch size: 256 | lm loss: 2.973073E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.915 | TFLOPs: 22.50 | 31: iteration 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372.443 | TFLOPs: 22.53 | 31: iteration 7310/ 23189 | consumed samples: 1871360 | consumed tokens: 3832545280 | elapsed time per iteration (s): 0.71 | learning rate: 1.610E-04 | global batch size: 256 | lm loss: 2.976496E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.462 | TFLOPs: 21.87 | 31: iteration 7320/ 23189 | consumed samples: 1873920 | consumed tokens: 3837788160 | elapsed time per iteration (s): 0.69 | learning rate: 1.609E-04 | global batch size: 256 | lm loss: 2.974794E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.417 | TFLOPs: 22.47 | 31: iteration 7330/ 23189 | consumed samples: 1876480 | consumed tokens: 3843031040 | elapsed time per iteration (s): 0.69 | learning rate: 1.608E-04 | global batch size: 256 | lm loss: 2.971874E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.779 | TFLOPs: 22.43 | 31: iteration 7340/ 23189 | consumed samples: 1879040 | consumed tokens: 3848273920 | elapsed time per iteration (s): 0.71 | learning rate: 1.607E-04 | global batch size: 256 | lm loss: 2.963028E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.029 | TFLOPs: 21.84 | 31: iteration 7350/ 23189 | consumed samples: 1881600 | consumed tokens: 3853516800 | elapsed time per iteration (s): 0.68 | learning rate: 1.606E-04 | global batch size: 256 | lm loss: 2.964174E+00 | grad norm: 0.257 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.459 | TFLOPs: 22.71 | 31: iteration 7360/ 23189 | consumed samples: 1884160 | consumed tokens: 3858759680 | elapsed time per iteration (s): 0.69 | learning rate: 1.605E-04 | global batch size: 256 | lm loss: 2.974255E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.400 | TFLOPs: 22.47 | 31: iteration 7370/ 23189 | consumed samples: 1886720 | consumed tokens: 3864002560 | elapsed time per iteration (s): 0.68 | learning rate: 1.604E-04 | global batch size: 256 | lm loss: 2.977634E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.486 | TFLOPs: 22.90 | 31: iteration 7380/ 23189 | consumed samples: 1889280 | consumed tokens: 3869245440 | elapsed time per iteration (s): 0.72 | learning rate: 1.603E-04 | global batch size: 256 | lm loss: 2.965768E+00 | grad norm: 0.268 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.986 | TFLOPs: 21.60 | 31: iteration 7390/ 23189 | consumed samples: 1891840 | consumed tokens: 3874488320 | elapsed time per iteration (s): 0.69 | learning rate: 1.602E-04 | global batch size: 256 | lm loss: 2.966408E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.423 | TFLOPs: 22.47 | 31: iteration 7400/ 23189 | consumed samples: 1894400 | consumed tokens: 3879731200 | elapsed time per iteration (s): 0.70 | learning rate: 1.601E-04 | global batch size: 256 | lm loss: 2.955761E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.915 | TFLOPs: 22.26 | 31: iteration 7410/ 23189 | consumed samples: 1896960 | consumed tokens: 3884974080 | elapsed time per iteration (s): 0.67 | learning rate: 1.600E-04 | global batch size: 256 | lm loss: 2.960692E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.825 | TFLOPs: 22.98 | 31: iteration 7420/ 23189 | consumed samples: 1899520 | consumed tokens: 3890216960 | elapsed time per iteration (s): 0.71 | learning rate: 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378.319 | TFLOPs: 22.89 | 31: iteration 7540/ 23189 | consumed samples: 1930240 | consumed tokens: 3953131520 | elapsed time per iteration (s): 0.69 | learning rate: 1.586E-04 | global batch size: 256 | lm loss: 2.944210E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.483 | TFLOPs: 22.53 | 31: iteration 7550/ 23189 | consumed samples: 1932800 | consumed tokens: 3958374400 | elapsed time per iteration (s): 0.68 | learning rate: 1.585E-04 | global batch size: 256 | lm loss: 2.963285E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.226 | TFLOPs: 22.94 | 31: iteration 7560/ 23189 | consumed samples: 1935360 | consumed tokens: 3963617280 | elapsed time per iteration (s): 0.70 | learning rate: 1.584E-04 | global batch size: 256 | lm loss: 2.957646E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.421 | TFLOPs: 21.99 | 31: iteration 7570/ 23189 | consumed samples: 1937920 | consumed tokens: 3968860160 | elapsed time per iteration (s): 0.69 | learning rate: 1.583E-04 | global batch size: 256 | lm loss: 2.940379E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.658 | TFLOPs: 22.30 | 31: iteration 7580/ 23189 | consumed samples: 1940480 | consumed tokens: 3974103040 | elapsed time per iteration (s): 0.68 | learning rate: 1.582E-04 | global batch size: 256 | lm loss: 2.951371E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.500 | TFLOPs: 22.84 | 31: iteration 7590/ 23189 | consumed samples: 1943040 | consumed tokens: 3979345920 | elapsed time per iteration (s): 0.71 | learning rate: 1.581E-04 | global batch size: 256 | lm loss: 2.953645E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.307 | TFLOPs: 21.92 | 31: iteration 7600/ 23189 | consumed samples: 1945600 | consumed tokens: 3984588800 | elapsed time per iteration (s): 0.68 | learning rate: 1.580E-04 | global batch size: 256 | lm loss: 2.935847E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.824 | TFLOPs: 22.74 | 31: iteration 7610/ 23189 | consumed samples: 1948160 | consumed tokens: 3989831680 | elapsed time per iteration (s): 0.69 | learning rate: 1.579E-04 | global batch size: 256 | lm loss: 2.950745E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.026 | TFLOPs: 22.57 | 31: iteration 7620/ 23189 | consumed samples: 1950720 | consumed tokens: 3995074560 | elapsed time per iteration (s): 0.69 | learning rate: 1.578E-04 | global batch size: 256 | lm loss: 2.960047E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.186 | TFLOPs: 22.40 | 31: iteration 7630/ 23189 | consumed samples: 1953280 | consumed tokens: 4000317440 | elapsed time per iteration (s): 0.69 | learning rate: 1.577E-04 | global batch size: 256 | lm loss: 2.947328E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.074 | TFLOPs: 22.51 | 31: iteration 7640/ 23189 | consumed samples: 1955840 | consumed tokens: 4005560320 | elapsed time per iteration (s): 0.68 | learning rate: 1.576E-04 | global batch size: 256 | lm loss: 2.945393E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.189 | TFLOPs: 22.82 | 31: iteration 7650/ 23189 | consumed samples: 1958400 | consumed tokens: 4010803200 | elapsed time per iteration (s): 0.69 | learning rate: 1.575E-04 | global batch size: 256 | lm loss: 2.948945E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.783 | TFLOPs: 22.49 | 31: iteration 7660/ 23189 | consumed samples: 1960960 | consumed tokens: 4016046080 | elapsed time per iteration (s): 0.72 | learning rate: 1.574E-04 | global batch size: 256 | lm loss: 2.955591E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.849 | TFLOPs: 21.47 | 31: iteration 7670/ 23189 | consumed samples: 1963520 | consumed tokens: 4021288960 | elapsed time per iteration (s): 0.70 | learning rate: 1.573E-04 | global batch size: 256 | lm loss: 2.951340E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.404 | TFLOPs: 21.99 | 31: iteration 7680/ 23189 | consumed samples: 1966080 | consumed tokens: 4026531840 | elapsed time per iteration (s): 0.73 | learning rate: 1.572E-04 | global batch size: 256 | lm loss: 2.938478E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.353 | TFLOPs: 21.26 | 31: iteration 7690/ 23189 | consumed samples: 1968640 | consumed tokens: 4031774720 | elapsed time per iteration (s): 0.73 | learning rate: 1.571E-04 | global batch size: 256 | lm loss: 2.942160E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.805 | TFLOPs: 21.28 | 31: iteration 7700/ 23189 | consumed samples: 1971200 | consumed tokens: 4037017600 | elapsed time per iteration (s): 0.68 | learning rate: 1.570E-04 | global batch size: 256 | lm loss: 2.933646E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.950 | TFLOPs: 22.93 | 31: iteration 7710/ 23189 | consumed samples: 1973760 | consumed tokens: 4042260480 | elapsed time per iteration (s): 0.68 | learning rate: 1.568E-04 | global batch size: 256 | lm loss: 2.936663E+00 | grad norm: 0.271 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.719 | TFLOPs: 22.79 | 31: iteration 7720/ 23189 | consumed samples: 1976320 | consumed tokens: 4047503360 | elapsed time per iteration (s): 0.70 | learning rate: 1.567E-04 | global batch size: 256 | lm loss: 2.938363E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.507 | TFLOPs: 22.23 | 31: iteration 7730/ 23189 | consumed samples: 1978880 | consumed tokens: 4052746240 | elapsed time per iteration (s): 0.68 | learning rate: 1.566E-04 | global batch size: 256 | lm loss: 2.942830E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.162 | TFLOPs: 22.82 | 31: iteration 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368.853 | TFLOPs: 22.31 | 31: iteration 7770/ 23189 | consumed samples: 1989120 | consumed tokens: 4073717760 | elapsed time per iteration (s): 0.69 | learning rate: 1.562E-04 | global batch size: 256 | lm loss: 2.939489E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.029 | TFLOPs: 22.57 | 31: iteration 7780/ 23189 | consumed samples: 1991680 | consumed tokens: 4078960640 | elapsed time per iteration (s): 0.68 | learning rate: 1.561E-04 | global batch size: 256 | lm loss: 2.940712E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.014 | TFLOPs: 22.81 | 31: iteration 7790/ 23189 | consumed samples: 1994240 | consumed tokens: 4084203520 | elapsed time per iteration (s): 0.68 | learning rate: 1.560E-04 | global batch size: 256 | lm loss: 2.942513E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.615 | TFLOPs: 22.78 | 31: iteration 7800/ 23189 | consumed samples: 1996800 | consumed tokens: 4089446400 | elapsed time per iteration (s): 0.69 | learning rate: 1.559E-04 | global batch size: 256 | lm loss: 2.934856E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.744 | TFLOPs: 22.31 | 31: iteration 7810/ 23189 | consumed samples: 1999360 | consumed tokens: 4094689280 | elapsed time per iteration (s): 0.69 | learning rate: 1.558E-04 | global batch size: 256 | lm loss: 2.940179E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.936 | TFLOPs: 22.56 | 31: iteration 7820/ 23189 | consumed samples: 2001920 | consumed tokens: 4099932160 | elapsed time per iteration (s): 0.68 | learning rate: 1.557E-04 | global batch size: 256 | lm loss: 2.926502E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.505 | TFLOPs: 22.78 | 31: iteration 7830/ 23189 | consumed samples: 2004480 | consumed tokens: 4105175040 | elapsed time per iteration (s): 0.69 | learning rate: 1.556E-04 | global batch size: 256 | lm loss: 2.939672E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.798 | TFLOPs: 22.43 | 31: iteration 7840/ 23189 | consumed samples: 2007040 | consumed tokens: 4110417920 | elapsed time per iteration (s): 0.68 | learning rate: 1.555E-04 | global batch size: 256 | lm loss: 2.940114E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.997 | TFLOPs: 22.81 | 31: iteration 7850/ 23189 | consumed samples: 2009600 | consumed tokens: 4115660800 | elapsed time per iteration (s): 0.71 | learning rate: 1.554E-04 | global batch size: 256 | lm loss: 2.924940E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.414 | TFLOPs: 21.93 | 31: iteration 7860/ 23189 | consumed samples: 2012160 | consumed tokens: 4120903680 | elapsed time per iteration (s): 0.71 | learning rate: 1.553E-04 | global batch size: 256 | lm loss: 2.939732E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.227 | TFLOPs: 21.85 | 31: iteration 7870/ 23189 | consumed samples: 2014720 | consumed tokens: 4126146560 | elapsed time per iteration (s): 0.69 | learning rate: 1.552E-04 | global batch size: 256 | lm loss: 2.930486E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.987 | TFLOPs: 22.50 | 31: iteration 7880/ 23189 | consumed samples: 2017280 | consumed tokens: 4131389440 | elapsed time per iteration (s): 0.69 | learning rate: 1.550E-04 | global batch size: 256 | lm loss: 2.922151E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.351 | TFLOPs: 22.59 | 31: iteration 7890/ 23189 | consumed samples: 2019840 | consumed tokens: 4136632320 | elapsed time per iteration (s): 0.69 | learning rate: 1.549E-04 | global batch size: 256 | lm loss: 2.929310E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.111 | TFLOPs: 22.57 | 31: iteration 7900/ 23189 | consumed samples: 2022400 | consumed tokens: 4141875200 | elapsed time per iteration (s): 0.68 | learning rate: 1.548E-04 | global batch size: 256 | lm loss: 2.926197E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.099 | TFLOPs: 22.75 | 31: iteration 7910/ 23189 | consumed samples: 2024960 | consumed tokens: 4147118080 | elapsed time per iteration (s): 0.76 | learning rate: 1.547E-04 | global batch size: 256 | lm loss: 2.934908E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.922 | TFLOPs: 20.32 | 31: iteration 7920/ 23189 | consumed samples: 2027520 | consumed tokens: 4152360960 | elapsed time per iteration (s): 0.76 | learning rate: 1.546E-04 | global batch size: 256 | lm loss: 2.939134E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.052 | TFLOPs: 20.39 | 31: iteration 7930/ 23189 | consumed samples: 2030080 | consumed tokens: 4157603840 | elapsed time per iteration (s): 0.76 | learning rate: 1.545E-04 | global batch size: 256 | lm loss: 2.931498E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.213 | TFLOPs: 20.40 | 31: iteration 7940/ 23189 | consumed samples: 2032640 | consumed tokens: 4162846720 | elapsed time per iteration (s): 0.72 | learning rate: 1.544E-04 | global batch size: 256 | lm loss: 2.921371E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.786 | TFLOPs: 21.52 | 31: iteration 7950/ 23189 | consumed samples: 2035200 | consumed tokens: 4168089600 | elapsed time per iteration (s): 0.69 | learning rate: 1.543E-04 | global batch size: 256 | lm loss: 2.935851E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.774 | TFLOPs: 22.43 | 31: iteration 7960/ 23189 | consumed samples: 2037760 | consumed tokens: 4173332480 | elapsed time per iteration (s): 0.73 | learning rate: 1.542E-04 | global batch size: 256 | lm loss: 2.917301E+00 | grad norm: 0.266 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.467 | TFLOPs: 21.26 | 31: iteration 7970/ 23189 | consumed samples: 2040320 | consumed tokens: 4178575360 | elapsed time per iteration (s): 0.71 | learning rate: 1.541E-04 | global batch size: 256 | lm loss: 2.939897E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.111 | TFLOPs: 21.91 | 31: iteration 7980/ 23189 | consumed samples: 2042880 | consumed tokens: 4183818240 | elapsed time per iteration (s): 0.69 | learning rate: 1.540E-04 | global batch size: 256 | lm loss: 2.931363E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.160 | TFLOPs: 22.51 | 31: iteration 7990/ 23189 | consumed samples: 2045440 | consumed tokens: 4189061120 | elapsed time per iteration (s): 0.68 | learning rate: 1.539E-04 | global batch size: 256 | lm loss: 2.934205E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.019 | TFLOPs: 22.81 | 0: [2023-03-15 23:32:43,836] [INFO] [logging.py:68:log_dist] [Rank 0] step=8000, skipped=0, lr=[0.000153760372195672, 0.000153760372195672, 0.000153760372195672], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 8000/ 23189 | consumed samples: 2048000 | consumed tokens: 4194304000 | elapsed time per iteration (s): 0.70 | learning rate: 1.538E-04 | global batch size: 256 | lm loss: 2.918408E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.424 | TFLOPs: 22.05 | 0: steps: 8000 loss: 2.9155 iter time (s): 0.707 samples/sec: 361.982 31: iteration 8010/ 23189 | consumed samples: 2050560 | consumed tokens: 4199546880 | elapsed time per iteration (s): 0.69 | learning rate: 1.537E-04 | global batch size: 256 | lm loss: 2.929954E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.260 | TFLOPs: 22.40 | 31: iteration 8020/ 23189 | consumed samples: 2053120 | consumed tokens: 4204789760 | elapsed time per iteration (s): 0.72 | learning rate: 1.535E-04 | global batch size: 256 | lm loss: 2.918874E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.136 | TFLOPs: 21.42 | 31: iteration 8030/ 23189 | consumed samples: 2055680 | consumed tokens: 4210032640 | elapsed time per iteration (s): 0.71 | learning rate: 1.534E-04 | global batch size: 256 | lm loss: 2.902031E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.857 | TFLOPs: 21.89 | 31: iteration 8040/ 23189 | consumed samples: 2058240 | consumed tokens: 4215275520 | elapsed time per iteration (s): 0.70 | learning rate: 1.533E-04 | global batch size: 256 | lm loss: 2.930480E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.064 | TFLOPs: 22.27 | 31: iteration 8050/ 23189 | consumed samples: 2060800 | consumed tokens: 4220518400 | elapsed time per iteration (s): 0.68 | learning rate: 1.532E-04 | global batch size: 256 | lm loss: 2.919858E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.096 | TFLOPs: 22.87 | 31: iteration 8060/ 23189 | consumed samples: 2063360 | consumed tokens: 4225761280 | elapsed time per iteration (s): 0.70 | learning rate: 1.531E-04 | global batch size: 256 | lm loss: 2.905662E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.514 | TFLOPs: 22.23 | 31: iteration 8070/ 23189 | consumed samples: 2065920 | consumed tokens: 4231004160 | elapsed time per iteration (s): 0.71 | learning rate: 1.530E-04 | global batch size: 256 | lm loss: 2.914351E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.300 | TFLOPs: 21.92 | 31: iteration 8080/ 23189 | consumed samples: 2068480 | consumed tokens: 4236247040 | elapsed time per iteration (s): 0.71 | learning rate: 1.529E-04 | global batch size: 256 | lm loss: 2.927012E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.651 | TFLOPs: 21.88 | 31: iteration 8090/ 23189 | consumed samples: 2071040 | consumed tokens: 4241489920 | elapsed time per iteration (s): 0.68 | learning rate: 1.528E-04 | global batch size: 256 | lm loss: 2.911159E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.272 | TFLOPs: 22.82 | 31: iteration 8100/ 23189 | consumed samples: 2073600 | consumed tokens: 4246732800 | elapsed time per iteration (s): 0.68 | learning rate: 1.527E-04 | global batch size: 256 | lm loss: 2.915580E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.056 | TFLOPs: 22.69 | 31: iteration 8110/ 23189 | consumed samples: 2076160 | consumed tokens: 4251975680 | elapsed time per iteration (s): 0.71 | learning rate: 1.526E-04 | global batch size: 256 | lm loss: 2.916879E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.142 | TFLOPs: 21.91 | 31: iteration 8120/ 23189 | consumed samples: 2078720 | consumed tokens: 4257218560 | elapsed time per iteration (s): 0.68 | learning rate: 1.525E-04 | global batch size: 256 | lm loss: 2.920530E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.721 | TFLOPs: 22.79 | 31: iteration 8130/ 23189 | consumed samples: 2081280 | consumed tokens: 4262461440 | elapsed time per iteration (s): 0.68 | learning rate: 1.524E-04 | global batch size: 256 | lm loss: 2.915664E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.268 | TFLOPs: 22.64 | 31: iteration 8140/ 23189 | consumed samples: 2083840 | consumed tokens: 4267704320 | elapsed time per iteration (s): 0.68 | learning rate: 1.522E-04 | global batch size: 256 | lm loss: 2.896797E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.572 | TFLOPs: 22.84 | 31: iteration 8150/ 23189 | consumed samples: 2086400 | consumed tokens: 4272947200 | elapsed time per iteration (s): 0.69 | learning rate: 1.521E-04 | global batch size: 256 | lm loss: 2.913116E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.842 | TFLOPs: 22.43 | 31: iteration 8160/ 23189 | consumed samples: 2088960 | consumed tokens: 4278190080 | elapsed time per iteration (s): 0.69 | learning rate: 1.520E-04 | global batch size: 256 | lm loss: 2.910878E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.424 | TFLOPs: 22.41 | 31: iteration 8170/ 23189 | consumed samples: 2091520 | consumed tokens: 4283432960 | elapsed time per iteration (s): 0.69 | learning rate: 1.519E-04 | global batch size: 256 | lm loss: 2.923623E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.380 | TFLOPs: 22.53 | 31: iteration 8180/ 23189 | consumed samples: 2094080 | consumed tokens: 4288675840 | elapsed time per iteration (s): 0.68 | learning rate: 1.518E-04 | global batch size: 256 | lm loss: 2.915952E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.421 | TFLOPs: 22.77 | 31: iteration 8190/ 23189 | consumed samples: 2096640 | consumed tokens: 4293918720 | elapsed time per iteration (s): 0.70 | learning rate: 1.517E-04 | global batch size: 256 | lm loss: 2.921394E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.432 | TFLOPs: 22.11 | 31: iteration 8200/ 23189 | consumed samples: 2099200 | consumed tokens: 4299161600 | elapsed time per iteration (s): 0.68 | learning rate: 1.516E-04 | global batch size: 256 | lm loss: 2.901780E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.070 | TFLOPs: 22.87 | 31: iteration 8210/ 23189 | consumed samples: 2101760 | consumed tokens: 4304404480 | elapsed time per iteration (s): 0.69 | learning rate: 1.515E-04 | global batch size: 256 | lm loss: 2.913554E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.956 | TFLOPs: 22.56 | 31: iteration 8220/ 23189 | consumed samples: 2104320 | consumed tokens: 4309647360 | elapsed time per iteration (s): 0.71 | learning rate: 1.514E-04 | global batch size: 256 | lm loss: 2.913585E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.601 | TFLOPs: 21.75 | 31: iteration 8230/ 23189 | consumed samples: 2106880 | consumed tokens: 4314890240 | elapsed time per iteration (s): 0.68 | learning rate: 1.513E-04 | global batch size: 256 | lm loss: 2.911758E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.717 | TFLOPs: 22.91 | 31: iteration 8240/ 23189 | consumed samples: 2109440 | consumed tokens: 4320133120 | elapsed time per iteration (s): 0.68 | learning rate: 1.512E-04 | global batch size: 256 | lm loss: 2.899560E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.263 | TFLOPs: 22.82 | 31: iteration 8250/ 23189 | consumed samples: 2112000 | consumed tokens: 4325376000 | elapsed time per iteration (s): 0.68 | learning rate: 1.510E-04 | global batch size: 256 | lm loss: 2.904626E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.508 | TFLOPs: 22.72 | 31: iteration 8260/ 23189 | consumed samples: 2114560 | consumed tokens: 4330618880 | elapsed time per iteration (s): 0.68 | learning rate: 1.509E-04 | global batch size: 256 | lm loss: 2.900657E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.413 | TFLOPs: 22.83 | 31: iteration 8270/ 23189 | consumed samples: 2117120 | consumed tokens: 4335861760 | elapsed time per iteration (s): 0.68 | learning rate: 1.508E-04 | global batch size: 256 | lm loss: 2.910949E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.708 | TFLOPs: 22.85 | 31: iteration 8280/ 23189 | consumed samples: 2119680 | consumed tokens: 4341104640 | elapsed time per iteration (s): 0.70 | learning rate: 1.507E-04 | global batch size: 256 | lm loss: 2.915409E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.393 | TFLOPs: 22.04 | 31: iteration 8290/ 23189 | consumed samples: 2122240 | consumed tokens: 4346347520 | elapsed time per iteration (s): 0.70 | learning rate: 1.506E-04 | global batch size: 256 | lm loss: 2.891388E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.940 | TFLOPs: 22.20 | 31: iteration 8300/ 23189 | consumed samples: 2124800 | consumed tokens: 4351590400 | elapsed time per iteration (s): 0.68 | learning rate: 1.505E-04 | global batch size: 256 | lm loss: 2.902919E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.717 | TFLOPs: 22.67 | 31: iteration 8310/ 23189 | consumed samples: 2127360 | consumed tokens: 4356833280 | elapsed time per iteration (s): 0.68 | learning rate: 1.504E-04 | global batch size: 256 | lm loss: 2.895939E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.295 | TFLOPs: 22.70 | 31: iteration 8320/ 23189 | consumed samples: 2129920 | consumed tokens: 4362076160 | elapsed time per iteration (s): 0.69 | learning rate: 1.503E-04 | global batch size: 256 | lm loss: 2.901237E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.572 | TFLOPs: 22.30 | 31: iteration 8330/ 23189 | consumed samples: 2132480 | consumed tokens: 4367319040 | elapsed time per iteration (s): 0.69 | learning rate: 1.502E-04 | global batch size: 256 | lm loss: 2.908226E+00 | grad norm: 0.263 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.660 | TFLOPs: 22.36 | 31: iteration 8340/ 23189 | consumed samples: 2135040 | consumed tokens: 4372561920 | elapsed time per iteration (s): 0.70 | learning rate: 1.501E-04 | global batch size: 256 | lm loss: 2.882413E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.540 | TFLOPs: 21.99 | 31: iteration 8350/ 23189 | consumed samples: 2137600 | consumed tokens: 4377804800 | elapsed time per iteration (s): 0.72 | learning rate: 1.499E-04 | global batch size: 256 | lm loss: 2.890760E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.809 | TFLOPs: 21.40 | 31: iteration 8360/ 23189 | consumed samples: 2140160 | consumed tokens: 4383047680 | elapsed time per iteration (s): 0.68 | learning rate: 1.498E-04 | global batch size: 256 | lm loss: 2.913799E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.272 | TFLOPs: 22.64 | 31: iteration 8370/ 23189 | consumed samples: 2142720 | consumed tokens: 4388290560 | elapsed time per iteration (s): 0.68 | learning rate: 1.497E-04 | global batch size: 256 | lm loss: 2.901981E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.222 | TFLOPs: 22.82 | 31: iteration 8380/ 23189 | consumed samples: 2145280 | consumed tokens: 4393533440 | elapsed time per iteration (s): 0.70 | learning rate: 1.496E-04 | global batch size: 256 | lm loss: 2.901029E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.980 | TFLOPs: 22.14 | 31: iteration 8390/ 23189 | consumed samples: 2147840 | consumed tokens: 4398776320 | elapsed time per iteration (s): 0.72 | learning rate: 1.495E-04 | global batch size: 256 | lm loss: 2.896791E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.660 | TFLOPs: 21.58 | 31: iteration 8400/ 23189 | consumed samples: 2150400 | consumed tokens: 4404019200 | elapsed time per iteration (s): 0.68 | learning rate: 1.494E-04 | global batch size: 256 | lm loss: 2.906929E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.139 | TFLOPs: 22.88 | 31: iteration 8410/ 23189 | consumed samples: 2152960 | consumed tokens: 4409262080 | elapsed time per iteration (s): 0.69 | learning rate: 1.493E-04 | global batch size: 256 | lm loss: 2.878234E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.430 | TFLOPs: 22.29 | 31: iteration 8420/ 23189 | consumed samples: 2155520 | consumed tokens: 4414504960 | elapsed time per iteration (s): 0.68 | learning rate: 1.492E-04 | global batch size: 256 | lm loss: 2.880081E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.271 | TFLOPs: 22.64 | 31: iteration 8430/ 23189 | consumed samples: 2158080 | consumed tokens: 4419747840 | elapsed time per iteration (s): 0.69 | learning rate: 1.491E-04 | global batch size: 256 | lm loss: 2.895882E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.531 | TFLOPs: 22.54 | 31: iteration 8440/ 23189 | consumed samples: 2160640 | consumed tokens: 4424990720 | elapsed time per iteration (s): 0.68 | learning rate: 1.489E-04 | global batch size: 256 | lm loss: 2.876199E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.842 | TFLOPs: 22.86 | 31: iteration 8450/ 23189 | consumed samples: 2163200 | consumed tokens: 4430233600 | elapsed time per iteration (s): 0.69 | learning rate: 1.488E-04 | global batch size: 256 | lm loss: 2.900378E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.139 | TFLOPs: 22.51 | 31: iteration 8460/ 23189 | consumed samples: 2165760 | consumed tokens: 4435476480 | elapsed time per iteration (s): 0.68 | learning rate: 1.487E-04 | global batch size: 256 | lm loss: 2.892364E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.462 | TFLOPs: 22.84 | 31: iteration 8470/ 23189 | consumed samples: 2168320 | consumed tokens: 4440719360 | elapsed time per iteration (s): 0.68 | learning rate: 1.486E-04 | global batch size: 256 | lm loss: 2.885092E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.160 | TFLOPs: 22.64 | 31: iteration 8480/ 23189 | consumed samples: 2170880 | consumed tokens: 4445962240 | elapsed time per iteration (s): 0.69 | learning rate: 1.485E-04 | global batch size: 256 | lm loss: 2.899222E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.691 | TFLOPs: 22.55 | 31: iteration 8490/ 23189 | consumed samples: 2173440 | consumed tokens: 4451205120 | elapsed time per iteration (s): 0.68 | learning rate: 1.484E-04 | global batch size: 256 | lm loss: 2.883857E+00 | grad norm: 0.274 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.782 | TFLOPs: 22.73 | 31: iteration 8500/ 23189 | consumed samples: 2176000 | consumed tokens: 4456448000 | elapsed time per iteration (s): 0.69 | learning rate: 1.483E-04 | global batch size: 256 | lm loss: 2.878974E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.035 | TFLOPs: 22.57 | 31: iteration 8510/ 23189 | consumed samples: 2178560 | consumed tokens: 4461690880 | elapsed time per iteration (s): 0.68 | learning rate: 1.482E-04 | global batch size: 256 | lm loss: 2.894112E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.632 | TFLOPs: 22.66 | 31: iteration 8520/ 23189 | consumed samples: 2181120 | consumed tokens: 4466933760 | elapsed time per iteration (s): 0.68 | learning rate: 1.481E-04 | global batch size: 256 | lm loss: 2.882492E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.094 | TFLOPs: 22.63 | 31: iteration 8530/ 23189 | consumed samples: 2183680 | consumed tokens: 4472176640 | elapsed time per iteration (s): 0.68 | learning rate: 1.479E-04 | global batch size: 256 | lm loss: 2.880085E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.973 | TFLOPs: 22.75 | 31: iteration 8540/ 23189 | consumed samples: 2186240 | consumed tokens: 4477419520 | elapsed time per iteration (s): 0.69 | learning rate: 1.478E-04 | global batch size: 256 | lm loss: 2.889593E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.933 | TFLOPs: 22.50 | 31: iteration 8550/ 23189 | consumed samples: 2188800 | consumed tokens: 4482662400 | elapsed time per iteration (s): 0.68 | learning rate: 1.477E-04 | global batch size: 256 | lm loss: 2.880543E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.972 | TFLOPs: 22.62 | 31: iteration 8560/ 23189 | consumed samples: 2191360 | consumed tokens: 4487905280 | elapsed time per iteration (s): 0.68 | learning rate: 1.476E-04 | global batch size: 256 | lm loss: 2.894420E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.442 | TFLOPs: 22.89 | 31: iteration 8570/ 23189 | consumed samples: 2193920 | consumed tokens: 4493148160 | elapsed time per iteration (s): 0.69 | learning rate: 1.475E-04 | global batch size: 256 | lm loss: 2.881193E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.265 | TFLOPs: 22.58 | 31: iteration 8580/ 23189 | consumed samples: 2196480 | consumed tokens: 4498391040 | elapsed time per iteration (s): 0.68 | learning rate: 1.474E-04 | global batch size: 256 | lm loss: 2.886915E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.801 | TFLOPs: 22.80 | 31: iteration 8590/ 23189 | consumed samples: 2199040 | consumed tokens: 4503633920 | elapsed time per iteration (s): 0.68 | learning rate: 1.473E-04 | global batch size: 256 | lm loss: 2.898199E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.541 | TFLOPs: 22.78 | 31: iteration 8600/ 23189 | consumed samples: 2201600 | consumed tokens: 4508876800 | elapsed time per iteration (s): 0.71 | learning rate: 1.472E-04 | global batch size: 256 | lm loss: 2.894159E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.389 | TFLOPs: 21.80 | 31: iteration 8610/ 23189 | consumed samples: 2204160 | consumed tokens: 4514119680 | elapsed time per iteration (s): 0.68 | learning rate: 1.471E-04 | global batch size: 256 | lm loss: 2.892884E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.516 | TFLOPs: 22.66 | 31: iteration 8620/ 23189 | consumed samples: 2206720 | consumed tokens: 4519362560 | elapsed time per iteration (s): 0.69 | learning rate: 1.469E-04 | global batch size: 256 | lm loss: 2.890871E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.584 | TFLOPs: 22.42 | 31: iteration 8630/ 23189 | consumed samples: 2209280 | consumed tokens: 4524605440 | elapsed time per iteration (s): 0.69 | learning rate: 1.468E-04 | global batch size: 256 | lm loss: 2.873080E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.394 | TFLOPs: 22.53 | 31: iteration 8640/ 23189 | consumed samples: 2211840 | consumed tokens: 4529848320 | elapsed time per iteration (s): 0.72 | learning rate: 1.467E-04 | global batch size: 256 | lm loss: 2.874214E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.406 | TFLOPs: 21.62 | 31: iteration 8650/ 23189 | consumed samples: 2214400 | consumed tokens: 4535091200 | elapsed time per iteration (s): 0.68 | learning rate: 1.466E-04 | global batch size: 256 | lm loss: 2.880112E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.051 | TFLOPs: 22.69 | 31: iteration 8660/ 23189 | consumed samples: 2216960 | consumed tokens: 4540334080 | elapsed time per iteration (s): 0.68 | learning rate: 1.465E-04 | global batch size: 256 | lm loss: 2.874695E+00 | grad norm: 0.275 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.730 | TFLOPs: 22.91 | 31: iteration 8670/ 23189 | consumed samples: 2219520 | consumed tokens: 4545576960 | elapsed time per iteration (s): 0.68 | learning rate: 1.464E-04 | global batch size: 256 | lm loss: 2.864440E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.898 | TFLOPs: 22.62 | 31: iteration 8680/ 23189 | consumed samples: 2222080 | consumed tokens: 4550819840 | elapsed time per iteration (s): 0.68 | learning rate: 1.463E-04 | global batch size: 256 | lm loss: 2.876203E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.167 | TFLOPs: 22.94 | 31: iteration 8690/ 23189 | consumed samples: 2224640 | consumed tokens: 4556062720 | elapsed time per iteration (s): 0.68 | learning rate: 1.462E-04 | global batch size: 256 | lm loss: 2.872183E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.052 | TFLOPs: 22.69 | 31: iteration 8700/ 23189 | consumed samples: 2227200 | consumed tokens: 4561305600 | elapsed time per iteration (s): 0.68 | learning rate: 1.460E-04 | global batch size: 256 | lm loss: 2.871407E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.016 | TFLOPs: 22.69 | 31: iteration 8710/ 23189 | consumed samples: 2229760 | consumed tokens: 4566548480 | elapsed time per iteration (s): 0.68 | learning rate: 1.459E-04 | global batch size: 256 | lm loss: 2.878205E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.495 | TFLOPs: 22.90 | 31: iteration 8720/ 23189 | consumed samples: 2232320 | consumed tokens: 4571791360 | elapsed time per iteration (s): 0.68 | learning rate: 1.458E-04 | global batch size: 256 | lm loss: 2.888380E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.300 | TFLOPs: 22.70 | 31: iteration 8730/ 23189 | consumed samples: 2234880 | consumed tokens: 4577034240 | elapsed time per iteration (s): 0.69 | learning rate: 1.457E-04 | global batch size: 256 | lm loss: 2.870759E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.165 | TFLOPs: 22.33 | 31: iteration 8740/ 23189 | consumed samples: 2237440 | consumed tokens: 4582277120 | elapsed time per iteration (s): 0.68 | learning rate: 1.456E-04 | global batch size: 256 | lm loss: 2.868037E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.541 | TFLOPs: 22.84 | 31: iteration 8750/ 23189 | consumed samples: 2240000 | consumed tokens: 4587520000 | elapsed time per iteration (s): 0.68 | learning rate: 1.455E-04 | global batch size: 256 | lm loss: 2.869519E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.884 | TFLOPs: 22.86 | 31: iteration 8760/ 23189 | consumed samples: 2242560 | consumed tokens: 4592762880 | elapsed time per iteration (s): 0.70 | learning rate: 1.454E-04 | global batch size: 256 | lm loss: 2.876331E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.892 | TFLOPs: 22.26 | 31: iteration 8770/ 23189 | consumed samples: 2245120 | consumed tokens: 4598005760 | elapsed time per iteration (s): 0.68 | learning rate: 1.452E-04 | global batch size: 256 | lm loss: 2.873452E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.770 | TFLOPs: 22.91 | 31: iteration 8780/ 23189 | consumed samples: 2247680 | consumed tokens: 4603248640 | elapsed time per iteration (s): 0.69 | learning rate: 1.451E-04 | global batch size: 256 | lm loss: 2.879855E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.617 | TFLOPs: 22.54 | 31: iteration 8790/ 23189 | consumed samples: 2250240 | consumed tokens: 4608491520 | elapsed time per iteration (s): 0.68 | learning rate: 1.450E-04 | global batch size: 256 | lm loss: 2.854588E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.087 | TFLOPs: 22.63 | 31: iteration 8800/ 23189 | consumed samples: 2252800 | consumed tokens: 4613734400 | elapsed time per iteration (s): 0.68 | learning rate: 1.449E-04 | global batch size: 256 | lm loss: 2.864087E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.705 | TFLOPs: 22.79 | 31: iteration 8810/ 23189 | consumed samples: 2255360 | consumed tokens: 4618977280 | elapsed time per iteration (s): 0.73 | learning rate: 1.448E-04 | global batch size: 256 | lm loss: 2.859649E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.503 | TFLOPs: 21.20 | 31: iteration 8820/ 23189 | consumed samples: 2257920 | consumed tokens: 4624220160 | elapsed time per iteration (s): 0.67 | learning rate: 1.447E-04 | global batch size: 256 | lm loss: 2.861761E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.422 | TFLOPs: 22.95 | 31: iteration 8830/ 23189 | consumed samples: 2260480 | consumed tokens: 4629463040 | elapsed time per iteration (s): 0.69 | learning rate: 1.446E-04 | global batch size: 256 | lm loss: 2.873629E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.146 | TFLOPs: 22.39 | 31: iteration 8840/ 23189 | consumed samples: 2263040 | consumed tokens: 4634705920 | elapsed time per iteration (s): 0.68 | learning rate: 1.445E-04 | global batch size: 256 | lm loss: 2.878417E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.102 | TFLOPs: 22.87 | 31: iteration 8850/ 23189 | consumed samples: 2265600 | consumed tokens: 4639948800 | elapsed time per iteration (s): 0.67 | learning rate: 1.443E-04 | global batch size: 256 | lm loss: 2.870688E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.522 | TFLOPs: 22.96 | 31: iteration 8860/ 23189 | consumed samples: 2268160 | consumed tokens: 4645191680 | elapsed time per iteration (s): 0.71 | learning rate: 1.442E-04 | global batch size: 256 | lm loss: 2.874913E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.434 | TFLOPs: 21.87 | 31: iteration 8870/ 23189 | consumed samples: 2270720 | consumed tokens: 4650434560 | elapsed time per iteration (s): 0.70 | learning rate: 1.441E-04 | global batch size: 256 | lm loss: 2.880668E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.107 | TFLOPs: 22.09 | 31: iteration 8880/ 23189 | consumed samples: 2273280 | consumed tokens: 4655677440 | elapsed time per iteration (s): 0.68 | learning rate: 1.440E-04 | global batch size: 256 | lm loss: 2.870971E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.033 | TFLOPs: 22.87 | 31: iteration 8890/ 23189 | consumed samples: 2275840 | consumed tokens: 4660920320 | elapsed time per iteration (s): 0.69 | learning rate: 1.439E-04 | global batch size: 256 | lm loss: 2.876101E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.410 | TFLOPs: 22.47 | 31: iteration 8900/ 23189 | consumed samples: 2278400 | consumed tokens: 4666163200 | elapsed time per iteration (s): 0.67 | learning rate: 1.438E-04 | global batch size: 256 | lm loss: 2.876245E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.408 | TFLOPs: 22.95 | 31: iteration 8910/ 23189 | consumed samples: 2280960 | consumed tokens: 4671406080 | elapsed time per iteration (s): 0.69 | learning rate: 1.437E-04 | global batch size: 256 | lm loss: 2.867125E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.527 | TFLOPs: 22.48 | 31: iteration 8920/ 23189 | consumed samples: 2283520 | consumed tokens: 4676648960 | elapsed time per iteration (s): 0.72 | learning rate: 1.435E-04 | global batch size: 256 | lm loss: 2.858483E+00 | grad norm: 0.276 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.420 | TFLOPs: 21.62 | 31: iteration 8930/ 23189 | consumed samples: 2286080 | consumed tokens: 4681891840 | elapsed time per iteration (s): 0.68 | learning rate: 1.434E-04 | global batch size: 256 | lm loss: 2.872337E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.154 | TFLOPs: 22.76 | 31: iteration 8940/ 23189 | consumed samples: 2288640 | consumed tokens: 4687134720 | elapsed time per iteration (s): 0.70 | learning rate: 1.433E-04 | global batch size: 256 | lm loss: 2.885243E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.213 | TFLOPs: 21.97 | 31: iteration 8950/ 23189 | consumed samples: 2291200 | consumed tokens: 4692377600 | elapsed time per iteration (s): 0.69 | learning rate: 1.432E-04 | global batch size: 256 | lm loss: 2.862438E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.607 | TFLOPs: 22.30 | 31: iteration 8960/ 23189 | consumed samples: 2293760 | consumed tokens: 4697620480 | elapsed time per iteration (s): 0.69 | learning rate: 1.431E-04 | global batch size: 256 | lm loss: 2.848899E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.640 | TFLOPs: 22.36 | 31: iteration 8970/ 23189 | consumed samples: 2296320 | consumed tokens: 4702863360 | elapsed time per iteration (s): 0.68 | learning rate: 1.430E-04 | global batch size: 256 | lm loss: 2.861705E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.957 | TFLOPs: 22.62 | 31: iteration 8980/ 23189 | consumed samples: 2298880 | consumed tokens: 4708106240 | elapsed time per iteration (s): 0.70 | learning rate: 1.429E-04 | global batch size: 256 | lm loss: 2.876051E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.295 | TFLOPs: 22.28 | 31: iteration 8990/ 23189 | consumed samples: 2301440 | consumed tokens: 4713349120 | elapsed time per iteration (s): 0.68 | learning rate: 1.427E-04 | global batch size: 256 | lm loss: 2.865434E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.423 | TFLOPs: 22.83 | 31: iteration 9000/ 23189 | consumed samples: 2304000 | consumed tokens: 4718592000 | elapsed time per iteration (s): 0.72 | learning rate: 1.426E-04 | global batch size: 256 | lm loss: 2.866098E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.948 | TFLOPs: 21.53 | 31: iteration 9010/ 23189 | consumed samples: 2306560 | consumed tokens: 4723834880 | elapsed time per iteration (s): 0.69 | learning rate: 1.425E-04 | global batch size: 256 | lm loss: 2.849680E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.257 | TFLOPs: 22.34 | 31: iteration 9020/ 23189 | consumed samples: 2309120 | consumed tokens: 4729077760 | elapsed time per iteration (s): 0.68 | learning rate: 1.424E-04 | global batch size: 256 | lm loss: 2.857700E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.246 | TFLOPs: 22.64 | 31: iteration 9030/ 23189 | consumed samples: 2311680 | consumed tokens: 4734320640 | elapsed time per iteration (s): 0.69 | learning rate: 1.423E-04 | global batch size: 256 | lm loss: 2.861522E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.606 | TFLOPs: 22.60 | 31: iteration 9040/ 23189 | consumed samples: 2314240 | consumed tokens: 4739563520 | elapsed time per iteration (s): 0.69 | learning rate: 1.422E-04 | global batch size: 256 | lm loss: 2.858787E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.273 | TFLOPs: 22.34 | 31: iteration 9050/ 23189 | consumed samples: 2316800 | consumed tokens: 4744806400 | elapsed time per iteration (s): 0.68 | learning rate: 1.420E-04 | global batch size: 256 | lm loss: 2.855882E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.161 | TFLOPs: 22.88 | 31: iteration 9060/ 23189 | consumed samples: 2319360 | consumed tokens: 4750049280 | elapsed time per iteration (s): 0.68 | learning rate: 1.419E-04 | global batch size: 256 | lm loss: 2.854594E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.358 | TFLOPs: 22.83 | 31: iteration 9070/ 23189 | consumed samples: 2321920 | consumed tokens: 4755292160 | elapsed time per iteration (s): 0.68 | learning rate: 1.418E-04 | global batch size: 256 | lm loss: 2.858442E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.166 | TFLOPs: 22.76 | 31: iteration 9080/ 23189 | consumed samples: 2324480 | consumed tokens: 4760535040 | elapsed time per iteration (s): 0.68 | learning rate: 1.417E-04 | global batch size: 256 | lm loss: 2.862629E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.814 | TFLOPs: 22.80 | 31: iteration 9090/ 23189 | consumed samples: 2327040 | consumed tokens: 4765777920 | elapsed time per iteration (s): 0.69 | learning rate: 1.416E-04 | global batch size: 256 | lm loss: 2.848185E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.017 | TFLOPs: 22.32 | 31: iteration 9100/ 23189 | consumed samples: 2329600 | consumed tokens: 4771020800 | elapsed time per iteration (s): 0.70 | learning rate: 1.415E-04 | global batch size: 256 | lm loss: 2.860539E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.902 | TFLOPs: 22.20 | 31: iteration 9110/ 23189 | consumed samples: 2332160 | consumed tokens: 4776263680 | elapsed time per iteration (s): 0.68 | learning rate: 1.414E-04 | global batch size: 256 | lm loss: 2.851291E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.712 | TFLOPs: 22.79 | 31: iteration 9120/ 23189 | consumed samples: 2334720 | consumed tokens: 4781506560 | elapsed time per iteration (s): 0.70 | learning rate: 1.412E-04 | global batch size: 256 | lm loss: 2.863735E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.517 | TFLOPs: 22.17 | 31: iteration 9130/ 23189 | consumed samples: 2337280 | consumed tokens: 4786749440 | elapsed time per iteration (s): 0.68 | learning rate: 1.411E-04 | global batch size: 256 | lm loss: 2.847877E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.126 | TFLOPs: 22.63 | 31: iteration 9140/ 23189 | consumed samples: 2339840 | consumed tokens: 4791992320 | elapsed time per iteration (s): 0.68 | learning rate: 1.410E-04 | global batch size: 256 | lm loss: 2.861294E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.706 | TFLOPs: 22.73 | 31: iteration 9150/ 23189 | consumed samples: 2342400 | consumed tokens: 4797235200 | elapsed time per iteration (s): 0.70 | learning rate: 1.409E-04 | global batch size: 256 | lm loss: 2.851797E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.248 | TFLOPs: 22.22 | 31: iteration 9160/ 23189 | consumed samples: 2344960 | consumed tokens: 4802478080 | elapsed time per iteration (s): 0.69 | learning rate: 1.408E-04 | global batch size: 256 | lm loss: 2.842320E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.578 | TFLOPs: 22.60 | 31: iteration 9170/ 23189 | consumed samples: 2347520 | consumed tokens: 4807720960 | elapsed time per iteration (s): 0.68 | learning rate: 1.407E-04 | global batch size: 256 | lm loss: 2.854091E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.153 | TFLOPs: 22.94 | 31: iteration 9180/ 23189 | consumed samples: 2350080 | consumed tokens: 4812963840 | elapsed time per iteration (s): 0.70 | learning rate: 1.405E-04 | global batch size: 256 | lm loss: 2.845695E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.018 | TFLOPs: 22.26 | 31: iteration 9190/ 23189 | consumed samples: 2352640 | consumed tokens: 4818206720 | elapsed time per iteration (s): 0.67 | learning rate: 1.404E-04 | global batch size: 256 | lm loss: 2.848627E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.332 | TFLOPs: 22.95 | 31: iteration 9200/ 23189 | consumed samples: 2355200 | consumed tokens: 4823449600 | elapsed time per iteration (s): 0.68 | learning rate: 1.403E-04 | global batch size: 256 | lm loss: 2.848047E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.557 | TFLOPs: 22.90 | 31: iteration 9210/ 23189 | consumed samples: 2357760 | consumed tokens: 4828692480 | elapsed time per iteration (s): 0.68 | learning rate: 1.402E-04 | global batch size: 256 | lm loss: 2.827466E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.792 | TFLOPs: 22.73 | 31: iteration 9220/ 23189 | consumed samples: 2360320 | consumed tokens: 4833935360 | elapsed time per iteration (s): 0.68 | learning rate: 1.401E-04 | global batch size: 256 | lm loss: 2.834286E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.991 | TFLOPs: 22.63 | 31: iteration 9230/ 23189 | consumed samples: 2362880 | consumed tokens: 4839178240 | elapsed time per iteration (s): 0.69 | learning rate: 1.400E-04 | global batch size: 256 | lm loss: 2.863987E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.166 | TFLOPs: 22.58 | 31: iteration 9240/ 23189 | consumed samples: 2365440 | consumed tokens: 4844421120 | elapsed time per iteration (s): 0.69 | learning rate: 1.399E-04 | global batch size: 256 | lm loss: 2.849256E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.224 | TFLOPs: 22.34 | 31: iteration 9250/ 23189 | consumed samples: 2368000 | consumed tokens: 4849664000 | elapsed time per iteration (s): 0.69 | learning rate: 1.397E-04 | global batch size: 256 | lm loss: 2.850903E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.598 | TFLOPs: 22.48 | 31: iteration 9260/ 23189 | consumed samples: 2370560 | consumed tokens: 4854906880 | elapsed time per iteration (s): 0.68 | learning rate: 1.396E-04 | global batch size: 256 | lm loss: 2.839998E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.085 | TFLOPs: 22.69 | 31: iteration 9270/ 23189 | consumed samples: 2373120 | consumed tokens: 4860149760 | elapsed time per iteration (s): 0.68 | learning rate: 1.395E-04 | global batch size: 256 | lm loss: 2.851649E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.092 | TFLOPs: 22.93 | 31: iteration 9280/ 23189 | consumed samples: 2375680 | consumed tokens: 4865392640 | elapsed time per iteration (s): 0.68 | learning rate: 1.394E-04 | global batch size: 256 | lm loss: 2.839142E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.077 | TFLOPs: 22.93 | 31: iteration 9290/ 23189 | consumed samples: 2378240 | consumed tokens: 4870635520 | elapsed time per iteration (s): 0.69 | learning rate: 1.393E-04 | global batch size: 256 | lm loss: 2.838118E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.521 | TFLOPs: 22.60 | 31: iteration 9300/ 23189 | consumed samples: 2380800 | consumed tokens: 4875878400 | elapsed time per iteration (s): 0.69 | learning rate: 1.392E-04 | global batch size: 256 | lm loss: 2.841335E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.625 | TFLOPs: 22.30 | 31: iteration 9310/ 23189 | consumed samples: 2383360 | consumed tokens: 4881121280 | elapsed time per iteration (s): 0.68 | learning rate: 1.390E-04 | global batch size: 256 | lm loss: 2.843920E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.148 | TFLOPs: 22.94 | 31: iteration 9320/ 23189 | consumed samples: 2385920 | consumed tokens: 4886364160 | elapsed time per iteration (s): 0.68 | learning rate: 1.389E-04 | global batch size: 256 | lm loss: 2.837947E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.407 | TFLOPs: 22.89 | 31: iteration 9330/ 23189 | consumed samples: 2388480 | consumed tokens: 4891607040 | elapsed time per iteration (s): 0.69 | learning rate: 1.388E-04 | global batch size: 256 | lm loss: 2.831697E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.028 | TFLOPs: 22.45 | 31: iteration 9340/ 23189 | consumed samples: 2391040 | consumed tokens: 4896849920 | elapsed time per iteration (s): 0.68 | learning rate: 1.387E-04 | global batch size: 256 | lm loss: 2.840969E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.587 | TFLOPs: 22.84 | 31: iteration 9350/ 23189 | consumed samples: 2393600 | consumed tokens: 4902092800 | elapsed time per iteration (s): 0.68 | learning rate: 1.386E-04 | global batch size: 256 | lm loss: 2.855156E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.172 | TFLOPs: 22.70 | 31: iteration 9360/ 23189 | consumed samples: 2396160 | consumed tokens: 4907335680 | elapsed time per iteration (s): 0.69 | learning rate: 1.385E-04 | global batch size: 256 | lm loss: 2.832622E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.012 | TFLOPs: 22.51 | 31: iteration 9370/ 23189 | consumed samples: 2398720 | consumed tokens: 4912578560 | elapsed time per iteration (s): 0.68 | learning rate: 1.383E-04 | global batch size: 256 | lm loss: 2.837001E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.745 | TFLOPs: 22.79 | 31: iteration 9380/ 23189 | consumed samples: 2401280 | consumed tokens: 4917821440 | elapsed time per iteration (s): 0.68 | learning rate: 1.382E-04 | global batch size: 256 | lm loss: 2.833225E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.144 | TFLOPs: 22.76 | 31: iteration 9390/ 23189 | consumed samples: 2403840 | consumed tokens: 4923064320 | elapsed time per iteration (s): 0.70 | learning rate: 1.381E-04 | global batch size: 256 | lm loss: 2.841313E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.420 | TFLOPs: 22.17 | 31: iteration 9400/ 23189 | consumed samples: 2406400 | consumed tokens: 4928307200 | elapsed time per iteration (s): 0.70 | learning rate: 1.380E-04 | global batch size: 256 | lm loss: 2.837192E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.814 | TFLOPs: 22.19 | 31: iteration 9410/ 23189 | consumed samples: 2408960 | consumed tokens: 4933550080 | elapsed time per iteration (s): 0.69 | learning rate: 1.379E-04 | global batch size: 256 | lm loss: 2.835049E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.962 | TFLOPs: 22.56 | 31: iteration 9420/ 23189 | consumed samples: 2411520 | consumed tokens: 4938792960 | elapsed time per iteration (s): 0.68 | learning rate: 1.378E-04 | global batch size: 256 | lm loss: 2.842625E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.219 | TFLOPs: 22.76 | 31: iteration 9430/ 23189 | consumed samples: 2414080 | consumed tokens: 4944035840 | elapsed time per iteration (s): 0.68 | learning rate: 1.376E-04 | global batch size: 256 | lm loss: 2.843855E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.963 | TFLOPs: 22.93 | 31: iteration 9440/ 23189 | consumed samples: 2416640 | consumed tokens: 4949278720 | elapsed time per iteration (s): 0.69 | learning rate: 1.375E-04 | global batch size: 256 | lm loss: 2.851930E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.938 | TFLOPs: 22.56 | 31: iteration 9450/ 23189 | consumed samples: 2419200 | consumed tokens: 4954521600 | elapsed time per iteration (s): 0.69 | learning rate: 1.374E-04 | global batch size: 256 | lm loss: 2.827624E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.837 | TFLOPs: 22.43 | 31: iteration 9460/ 23189 | consumed samples: 2421760 | consumed tokens: 4959764480 | elapsed time per iteration (s): 0.72 | learning rate: 1.373E-04 | global batch size: 256 | lm loss: 2.828894E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.035 | TFLOPs: 21.54 | 31: iteration 9470/ 23189 | consumed samples: 2424320 | consumed tokens: 4965007360 | elapsed time per iteration (s): 0.68 | learning rate: 1.372E-04 | global batch size: 256 | lm loss: 2.826939E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.998 | TFLOPs: 22.93 | 31: iteration 9480/ 23189 | consumed samples: 2426880 | consumed tokens: 4970250240 | elapsed time per iteration (s): 0.70 | learning rate: 1.370E-04 | global batch size: 256 | lm loss: 2.841421E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.650 | TFLOPs: 22.18 | 31: iteration 9490/ 23189 | consumed samples: 2429440 | consumed tokens: 4975493120 | elapsed time per iteration (s): 0.68 | learning rate: 1.369E-04 | global batch size: 256 | lm loss: 2.837311E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.959 | TFLOPs: 22.81 | 31: iteration 9500/ 23189 | consumed samples: 2432000 | consumed tokens: 4980736000 | elapsed time per iteration (s): 0.68 | learning rate: 1.368E-04 | global batch size: 256 | lm loss: 2.825735E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.894 | TFLOPs: 22.92 | 31: iteration 9510/ 23189 | consumed samples: 2434560 | consumed tokens: 4985978880 | elapsed time per iteration (s): 0.68 | learning rate: 1.367E-04 | global batch size: 256 | lm loss: 2.829467E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.728 | TFLOPs: 22.79 | 31: iteration 9520/ 23189 | consumed samples: 2437120 | consumed tokens: 4991221760 | elapsed time per iteration (s): 0.68 | learning rate: 1.366E-04 | global batch size: 256 | lm loss: 2.824249E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.925 | TFLOPs: 22.92 | 31: iteration 9530/ 23189 | consumed samples: 2439680 | consumed tokens: 4996464640 | elapsed time per iteration (s): 0.68 | learning rate: 1.365E-04 | global batch size: 256 | lm loss: 2.828243E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.855 | TFLOPs: 22.86 | 31: iteration 9540/ 23189 | consumed samples: 2442240 | consumed tokens: 5001707520 | elapsed time per iteration (s): 0.68 | learning rate: 1.363E-04 | global batch size: 256 | lm loss: 2.823726E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.593 | TFLOPs: 22.84 | 31: iteration 9550/ 23189 | consumed samples: 2444800 | consumed tokens: 5006950400 | elapsed time per iteration (s): 0.68 | learning rate: 1.362E-04 | global batch size: 256 | lm loss: 2.831958E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.934 | TFLOPs: 22.62 | 31: iteration 9560/ 23189 | consumed samples: 2447360 | consumed tokens: 5012193280 | elapsed time per iteration (s): 0.69 | learning rate: 1.361E-04 | global batch size: 256 | lm loss: 2.849010E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.468 | TFLOPs: 22.47 | 31: iteration 9570/ 23189 | consumed samples: 2449920 | consumed tokens: 5017436160 | elapsed time per iteration (s): 0.68 | learning rate: 1.360E-04 | global batch size: 256 | lm loss: 2.814972E+00 | grad norm: 1.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.157 | TFLOPs: 22.64 | 31: iteration 9580/ 23189 | consumed samples: 2452480 | consumed tokens: 5022679040 | elapsed time per iteration (s): 0.70 | learning rate: 1.359E-04 | global batch size: 256 | lm loss: 5.413931E+00 | grad norm: 20.061 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.047 | TFLOPs: 22.21 | 31: iteration 9590/ 23189 | consumed samples: 2455040 | consumed tokens: 5027921920 | elapsed time per iteration (s): 0.71 | learning rate: 1.358E-04 | global batch size: 256 | lm loss: 7.224274E+00 | grad norm: 6.746 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.494 | TFLOPs: 21.75 | 31: iteration 9600/ 23189 | consumed samples: 2457600 | consumed tokens: 5033164800 | elapsed time per iteration (s): 0.70 | learning rate: 1.356E-04 | global batch size: 256 | lm loss: 7.659141E+00 | grad norm: 1.814 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.501 | TFLOPs: 22.17 | 31: iteration 9610/ 23189 | consumed samples: 2460160 | consumed tokens: 5038407680 | elapsed time per iteration (s): 0.70 | learning rate: 1.355E-04 | global batch size: 256 | lm loss: 6.845609E+00 | grad norm: 2.415 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.337 | TFLOPs: 22.28 | 31: iteration 9620/ 23189 | consumed samples: 2462720 | consumed tokens: 5043650560 | elapsed time per iteration (s): 0.68 | learning rate: 1.354E-04 | global batch size: 256 | lm loss: 6.324868E+00 | grad norm: 1.619 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.837 | TFLOPs: 22.74 | 31: iteration 9630/ 23189 | consumed samples: 2465280 | consumed tokens: 5048893440 | elapsed time per iteration (s): 0.69 | learning rate: 1.353E-04 | global batch size: 256 | lm loss: 5.104079E+00 | grad norm: 8.807 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.799 | TFLOPs: 22.43 | 31: iteration 9640/ 23189 | consumed samples: 2467840 | consumed tokens: 5054136320 | elapsed time per iteration (s): 0.68 | learning rate: 1.352E-04 | global batch size: 256 | lm loss: 3.839651E+00 | grad norm: 4.504 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.516 | TFLOPs: 22.66 | 31: iteration 9650/ 23189 | consumed samples: 2470400 | consumed tokens: 5059379200 | elapsed time per iteration (s): 0.69 | learning rate: 1.350E-04 | global batch size: 256 | lm loss: 3.311907E+00 | grad norm: 1.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.679 | TFLOPs: 22.61 | 31: iteration 9660/ 23189 | consumed samples: 2472960 | consumed tokens: 5064622080 | elapsed time per iteration (s): 0.70 | learning rate: 1.349E-04 | global batch size: 256 | lm loss: 3.155558E+00 | grad norm: 1.124 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.109 | TFLOPs: 22.09 | 31: iteration 9670/ 23189 | consumed samples: 2475520 | consumed tokens: 5069864960 | elapsed time per iteration (s): 0.68 | learning rate: 1.348E-04 | global batch size: 256 | lm loss: 3.006493E+00 | grad norm: 0.521 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.394 | TFLOPs: 22.89 | 31: iteration 9680/ 23189 | consumed samples: 2478080 | consumed tokens: 5075107840 | elapsed time per iteration (s): 0.68 | learning rate: 1.347E-04 | global batch size: 256 | lm loss: 2.934430E+00 | grad norm: 0.371 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.929 | TFLOPs: 22.62 | 31: iteration 9690/ 23189 | consumed samples: 2480640 | consumed tokens: 5080350720 | elapsed time per iteration (s): 0.70 | learning rate: 1.346E-04 | global batch size: 256 | lm loss: 2.908901E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.761 | TFLOPs: 22.01 | 31: iteration 9700/ 23189 | consumed samples: 2483200 | consumed tokens: 5085593600 | elapsed time per iteration (s): 0.68 | learning rate: 1.345E-04 | global batch size: 256 | lm loss: 2.900890E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.776 | TFLOPs: 22.91 | 31: iteration 9710/ 23189 | consumed samples: 2485760 | consumed tokens: 5090836480 | elapsed time per iteration (s): 0.68 | learning rate: 1.343E-04 | global batch size: 256 | lm loss: 2.868619E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.241 | TFLOPs: 22.70 | 31: iteration 9720/ 23189 | consumed samples: 2488320 | consumed tokens: 5096079360 | elapsed time per iteration (s): 0.68 | learning rate: 1.342E-04 | global batch size: 256 | lm loss: 2.887425E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.615 | TFLOPs: 22.91 | 31: iteration 9730/ 23189 | consumed samples: 2490880 | consumed tokens: 5101322240 | elapsed time per iteration (s): 0.68 | learning rate: 1.341E-04 | global batch size: 256 | lm loss: 2.869386E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.162 | TFLOPs: 22.94 | 31: iteration 9740/ 23189 | consumed samples: 2493440 | consumed tokens: 5106565120 | elapsed time per iteration (s): 0.68 | learning rate: 1.340E-04 | global batch size: 256 | lm loss: 2.861624E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.147 | TFLOPs: 22.70 | 31: iteration 9750/ 23189 | consumed samples: 2496000 | consumed tokens: 5111808000 | elapsed time per iteration (s): 0.67 | learning rate: 1.339E-04 | global batch size: 256 | lm loss: 2.867436E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.317 | TFLOPs: 22.95 | 31: iteration 9760/ 23189 | consumed samples: 2498560 | consumed tokens: 5117050880 | elapsed time per iteration (s): 0.68 | learning rate: 1.337E-04 | global batch size: 256 | lm loss: 2.839037E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.149 | TFLOPs: 22.94 | 31: iteration 9770/ 23189 | consumed samples: 2501120 | consumed tokens: 5122293760 | elapsed time per iteration (s): 0.69 | learning rate: 1.336E-04 | global batch size: 256 | lm loss: 2.855974E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.530 | TFLOPs: 22.42 | 31: iteration 9780/ 23189 | consumed samples: 2503680 | consumed tokens: 5127536640 | elapsed time per iteration (s): 0.69 | learning rate: 1.335E-04 | global batch size: 256 | lm loss: 2.840477E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.247 | TFLOPs: 22.40 | 31: iteration 9790/ 23189 | consumed samples: 2506240 | consumed tokens: 5132779520 | elapsed time per iteration (s): 0.67 | learning rate: 1.334E-04 | global batch size: 256 | lm loss: 2.838960E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.430 | TFLOPs: 22.95 | 31: iteration 9800/ 23189 | consumed samples: 2508800 | consumed tokens: 5138022400 | elapsed time per iteration (s): 0.68 | learning rate: 1.333E-04 | global batch size: 256 | lm loss: 2.849611E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.294 | TFLOPs: 22.83 | 31: iteration 9810/ 23189 | consumed samples: 2511360 | consumed tokens: 5143265280 | elapsed time per iteration (s): 0.69 | learning rate: 1.331E-04 | global batch size: 256 | lm loss: 2.847799E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.446 | TFLOPs: 22.59 | 31: iteration 9820/ 23189 | consumed samples: 2513920 | consumed tokens: 5148508160 | elapsed time per iteration (s): 0.68 | learning rate: 1.330E-04 | global batch size: 256 | lm loss: 2.835036E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.526 | TFLOPs: 22.90 | 31: iteration 9830/ 23189 | consumed samples: 2516480 | consumed tokens: 5153751040 | elapsed time per iteration (s): 0.67 | learning rate: 1.329E-04 | global batch size: 256 | lm loss: 2.836237E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.457 | TFLOPs: 22.96 | 31: iteration 9840/ 23189 | consumed samples: 2519040 | consumed tokens: 5158993920 | elapsed time per iteration (s): 0.68 | learning rate: 1.328E-04 | global batch size: 256 | lm loss: 2.836296E+00 | grad norm: 0.283 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.384 | TFLOPs: 22.83 | 31: iteration 9850/ 23189 | consumed samples: 2521600 | consumed tokens: 5164236800 | elapsed time per iteration (s): 0.68 | learning rate: 1.327E-04 | global batch size: 256 | lm loss: 2.834629E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.174 | TFLOPs: 22.70 | 31: iteration 9860/ 23189 | consumed samples: 2524160 | consumed tokens: 5169479680 | elapsed time per iteration (s): 0.68 | learning rate: 1.325E-04 | global batch size: 256 | lm loss: 2.824490E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.919 | TFLOPs: 22.62 | 31: iteration 9870/ 23189 | consumed samples: 2526720 | consumed tokens: 5174722560 | elapsed time per iteration (s): 0.69 | learning rate: 1.324E-04 | global batch size: 256 | lm loss: 2.829438E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.495 | TFLOPs: 22.60 | 31: iteration 9880/ 23189 | consumed samples: 2529280 | consumed tokens: 5179965440 | elapsed time per iteration (s): 0.69 | learning rate: 1.323E-04 | global batch size: 256 | lm loss: 2.827187E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.572 | TFLOPs: 22.48 | 31: iteration 9890/ 23189 | consumed samples: 2531840 | consumed tokens: 5185208320 | elapsed time per iteration (s): 0.70 | learning rate: 1.322E-04 | global batch size: 256 | lm loss: 2.837081E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.275 | TFLOPs: 22.28 | 31: iteration 9900/ 23189 | consumed samples: 2534400 | consumed tokens: 5190451200 | elapsed time per iteration (s): 0.68 | learning rate: 1.321E-04 | global batch size: 256 | lm loss: 2.828691E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.946 | TFLOPs: 22.62 | 31: iteration 9910/ 23189 | consumed samples: 2536960 | consumed tokens: 5195694080 | elapsed time per iteration (s): 0.69 | learning rate: 1.320E-04 | global batch size: 256 | lm loss: 2.819511E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.392 | TFLOPs: 22.35 | 31: iteration 9920/ 23189 | consumed samples: 2539520 | consumed tokens: 5200936960 | elapsed time per iteration (s): 0.69 | learning rate: 1.318E-04 | global batch size: 256 | lm loss: 2.827305E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.428 | TFLOPs: 22.59 | 31: iteration 9930/ 23189 | consumed samples: 2542080 | consumed tokens: 5206179840 | elapsed time per iteration (s): 0.68 | learning rate: 1.317E-04 | global batch size: 256 | lm loss: 2.811773E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.405 | TFLOPs: 22.89 | 31: iteration 9940/ 23189 | consumed samples: 2544640 | consumed tokens: 5211422720 | elapsed time per iteration (s): 0.71 | learning rate: 1.316E-04 | global batch size: 256 | lm loss: 2.847324E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.084 | TFLOPs: 21.91 | 31: iteration 9950/ 23189 | consumed samples: 2547200 | consumed tokens: 5216665600 | elapsed time per iteration (s): 0.73 | learning rate: 1.315E-04 | global batch size: 256 | lm loss: 2.837096E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.397 | TFLOPs: 21.32 | 31: iteration 9960/ 23189 | consumed samples: 2549760 | consumed tokens: 5221908480 | elapsed time per iteration (s): 0.67 | learning rate: 1.314E-04 | global batch size: 256 | lm loss: 2.826990E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.262 | TFLOPs: 22.94 | 31: iteration 9970/ 23189 | consumed samples: 2552320 | consumed tokens: 5227151360 | elapsed time per iteration (s): 0.68 | learning rate: 1.312E-04 | global batch size: 256 | lm loss: 2.832522E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.736 | TFLOPs: 22.85 | 31: iteration 9980/ 23189 | consumed samples: 2554880 | consumed tokens: 5232394240 | elapsed time per iteration (s): 0.68 | learning rate: 1.311E-04 | global batch size: 256 | lm loss: 2.826077E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.126 | TFLOPs: 22.88 | 31: iteration 9990/ 23189 | consumed samples: 2557440 | consumed tokens: 5237637120 | elapsed time per iteration (s): 0.67 | learning rate: 1.310E-04 | global batch size: 256 | lm loss: 2.822909E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.516 | TFLOPs: 22.96 | 0: [2023-03-15 23:55:38,391] [INFO] [logging.py:68:log_dist] [Rank 0] step=10000, skipped=0, lr=[0.00013087491371620573, 0.00013087491371620573, 0.00013087491371620573], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 10000/ 23189 | consumed samples: 2560000 | consumed tokens: 5242880000 | elapsed time per iteration (s): 0.68 | learning rate: 1.309E-04 | global batch size: 256 | lm loss: 2.828522E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.599 | TFLOPs: 22.66 | 0: steps: 10000 loss: 2.7947 iter time (s): 0.684 samples/sec: 374.448 31: ------------------------------------------------------------------------------------------------ 31: validation loss at iteration 10000 | lm loss value: 3.410434E+00 | lm loss PPL: 3.027837E+01 | 31: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 10000 to checkpoints_1b112b400m 0: [2023-03-15 23:55:39,514] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step10000 is begin to save! 0: [2023-03-15 23:55:39,964] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b400m/global_step10000/layer_01-model_00-model_states.pt... 0: [2023-03-15 23:55:40,307] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step10000/layer_01-model_00-model_states.pt. 0: [2023-03-15 23:55:40,307] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b400m/global_step10000/layer_03-model_00-model_states.pt... 0: [2023-03-15 23:55:40,394] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step10000/layer_03-model_00-model_states.pt. 0: [2023-03-15 23:55:40,394] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b400m/global_step10000/layer_04-model_00-model_states.pt... 0: [2023-03-15 23:55:40,476] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step10000/layer_04-model_00-model_states.pt. 0: 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save-checkpoint: 3250.20 31: iteration 10010/ 23189 | consumed samples: 2562560 | consumed tokens: 5248122880 | elapsed time per iteration (s): 1.11 | learning rate: 1.308E-04 | global batch size: 256 | lm loss: 2.816425E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 230.025 | TFLOPs: 13.92 | 31: iteration 10020/ 23189 | consumed samples: 2565120 | consumed tokens: 5253365760 | elapsed time per iteration (s): 0.68 | learning rate: 1.306E-04 | global batch size: 256 | lm loss: 2.820795E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.745 | TFLOPs: 22.85 | 31: iteration 10030/ 23189 | consumed samples: 2567680 | consumed tokens: 5258608640 | elapsed time per iteration (s): 0.70 | learning rate: 1.305E-04 | global batch size: 256 | lm loss: 2.814953E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.560 | TFLOPs: 22.24 | 31: iteration 10040/ 23189 | consumed samples: 2570240 | consumed tokens: 5263851520 | elapsed time per iteration (s): 0.68 | learning rate: 1.304E-04 | global batch size: 256 | lm loss: 2.803126E+00 | grad norm: 0.272 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.113 | TFLOPs: 22.94 | 31: iteration 10050/ 23189 | consumed samples: 2572800 | consumed tokens: 5269094400 | elapsed time per iteration (s): 0.68 | learning rate: 1.303E-04 | global batch size: 256 | lm loss: 2.813429E+00 | grad norm: 0.280 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.236 | TFLOPs: 22.94 | 31: iteration 10060/ 23189 | consumed samples: 2575360 | consumed tokens: 5274337280 | elapsed time per iteration (s): 0.69 | learning rate: 1.302E-04 | global batch size: 256 | lm loss: 2.814400E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.841 | TFLOPs: 22.50 | 31: iteration 10070/ 23189 | consumed samples: 2577920 | consumed tokens: 5279580160 | elapsed time per iteration (s): 0.70 | learning rate: 1.300E-04 | global batch size: 256 | lm loss: 2.816234E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.203 | TFLOPs: 22.15 | 31: iteration 10080/ 23189 | consumed samples: 2580480 | consumed tokens: 5284823040 | elapsed time per iteration (s): 0.68 | learning rate: 1.299E-04 | global batch size: 256 | lm loss: 2.825838E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.069 | TFLOPs: 22.93 | 31: iteration 10090/ 23189 | consumed samples: 2583040 | consumed tokens: 5290065920 | elapsed time per iteration (s): 0.70 | learning rate: 1.298E-04 | global batch size: 256 | lm loss: 2.797548E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.607 | TFLOPs: 22.18 | 31: iteration 10100/ 23189 | consumed samples: 2585600 | consumed tokens: 5295308800 | elapsed time per iteration (s): 0.68 | learning rate: 1.297E-04 | global batch size: 256 | lm loss: 2.801965E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.206 | TFLOPs: 22.94 | 31: iteration 10110/ 23189 | consumed samples: 2588160 | consumed tokens: 5300551680 | elapsed time per iteration (s): 0.67 | learning rate: 1.296E-04 | global batch size: 256 | lm loss: 2.818189E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.401 | TFLOPs: 22.95 | 31: iteration 10120/ 23189 | consumed samples: 2590720 | consumed tokens: 5305794560 | elapsed time per iteration (s): 0.68 | learning rate: 1.294E-04 | global batch size: 256 | lm loss: 2.819216E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.067 | TFLOPs: 22.81 | 31: iteration 10130/ 23189 | consumed samples: 2593280 | consumed tokens: 5311037440 | elapsed time per iteration (s): 0.68 | learning rate: 1.293E-04 | global batch size: 256 | lm loss: 2.804955E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.799 | TFLOPs: 22.86 | 31: iteration 10140/ 23189 | consumed samples: 2595840 | consumed tokens: 5316280320 | elapsed time per iteration (s): 0.68 | learning rate: 1.292E-04 | global batch size: 256 | lm loss: 2.810781E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.086 | TFLOPs: 22.69 | 31: iteration 10150/ 23189 | consumed samples: 2598400 | consumed tokens: 5321523200 | elapsed time per iteration (s): 0.68 | learning rate: 1.291E-04 | global batch size: 256 | lm loss: 2.803302E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.760 | TFLOPs: 22.85 | 31: iteration 10160/ 23189 | consumed samples: 2600960 | consumed tokens: 5326766080 | elapsed time per iteration (s): 0.71 | learning rate: 1.290E-04 | global batch size: 256 | lm loss: 2.793974E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.607 | TFLOPs: 21.88 | 31: iteration 10170/ 23189 | consumed samples: 2603520 | consumed tokens: 5332008960 | elapsed time per iteration (s): 0.69 | learning rate: 1.288E-04 | global batch size: 256 | lm loss: 2.809106E+00 | grad norm: 0.278 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.204 | TFLOPs: 22.52 | 31: iteration 10180/ 23189 | consumed samples: 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iteration 10210/ 23189 | consumed samples: 2613760 | consumed tokens: 5352980480 | elapsed time per iteration (s): 0.67 | learning rate: 1.284E-04 | global batch size: 256 | lm loss: 2.814093E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.429 | TFLOPs: 22.95 | 31: iteration 10220/ 23189 | consumed samples: 2616320 | consumed tokens: 5358223360 | elapsed time per iteration (s): 0.68 | learning rate: 1.282E-04 | global batch size: 256 | lm loss: 2.810283E+00 | grad norm: 0.285 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.853 | TFLOPs: 22.86 | 31: iteration 10230/ 23189 | consumed samples: 2618880 | consumed tokens: 5363466240 | elapsed time per iteration (s): 0.69 | learning rate: 1.281E-04 | global batch size: 256 | lm loss: 2.789133E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.660 | TFLOPs: 22.61 | 31: iteration 10240/ 23189 | consumed samples: 2621440 | consumed tokens: 5368709120 | elapsed time per iteration (s): 0.70 | learning rate: 1.280E-04 | global batch size: 256 | lm loss: 2.800578E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.824 | TFLOPs: 22.19 | 31: iteration 10250/ 23189 | consumed samples: 2624000 | consumed tokens: 5373952000 | elapsed time per iteration (s): 0.68 | learning rate: 1.279E-04 | global batch size: 256 | lm loss: 2.796240E+00 | grad norm: 0.281 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.257 | TFLOPs: 22.94 | 31: iteration 10260/ 23189 | consumed samples: 2626560 | consumed tokens: 5379194880 | elapsed time per iteration (s): 0.70 | learning rate: 1.277E-04 | global batch size: 256 | lm loss: 2.792830E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.013 | TFLOPs: 22.08 | 31: iteration 10270/ 23189 | consumed samples: 2629120 | consumed tokens: 5384437760 | elapsed time per iteration (s): 0.68 | learning rate: 1.276E-04 | global batch size: 256 | lm loss: 2.797250E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.623 | TFLOPs: 22.85 | 31: iteration 10280/ 23189 | consumed samples: 2631680 | consumed tokens: 5389680640 | elapsed time per iteration (s): 0.71 | learning rate: 1.275E-04 | global batch size: 256 | lm loss: 2.793674E+00 | grad norm: 0.277 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.926 | TFLOPs: 21.84 | 31: iteration 10290/ 23189 | consumed samples: 2634240 | consumed tokens: 5394923520 | elapsed time per iteration (s): 0.70 | learning rate: 1.274E-04 | global batch size: 256 | lm loss: 2.795838E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.018 | TFLOPs: 22.20 | 31: iteration 10300/ 23189 | consumed samples: 2636800 | consumed tokens: 5400166400 | elapsed time per iteration (s): 0.67 | learning rate: 1.273E-04 | global batch size: 256 | lm loss: 2.784065E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.340 | TFLOPs: 22.95 | 31: iteration 10310/ 23189 | consumed samples: 2639360 | consumed tokens: 5405409280 | elapsed time per iteration (s): 0.67 | learning rate: 1.271E-04 | global batch size: 256 | lm loss: 2.781840E+00 | grad norm: 0.273 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.365 | TFLOPs: 22.95 | 31: iteration 10320/ 23189 | consumed samples: 2641920 | consumed tokens: 5410652160 | elapsed time per iteration (s): 0.68 | learning rate: 1.270E-04 | global batch size: 256 | lm loss: 2.773792E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.108 | TFLOPs: 22.81 | 31: iteration 10330/ 23189 | consumed samples: 2644480 | consumed tokens: 5415895040 | elapsed time per iteration (s): 0.68 | learning rate: 1.269E-04 | global batch size: 256 | lm loss: 2.793761E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.838 | TFLOPs: 22.80 | 31: iteration 10340/ 23189 | consumed samples: 2647040 | consumed tokens: 5421137920 | elapsed time per iteration (s): 0.68 | learning rate: 1.268E-04 | global batch size: 256 | lm loss: 2.789165E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.866 | TFLOPs: 22.74 | 31: iteration 10350/ 23189 | consumed samples: 2649600 | consumed tokens: 5426380800 | elapsed time per iteration (s): 0.68 | learning rate: 1.267E-04 | global batch size: 256 | lm loss: 2.794438E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.930 | TFLOPs: 22.86 | 31: iteration 10360/ 23189 | consumed samples: 2652160 | consumed tokens: 5431623680 | elapsed time per iteration (s): 0.69 | learning rate: 1.265E-04 | global batch size: 256 | lm loss: 2.803350E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.818 | TFLOPs: 22.43 | 31: iteration 10370/ 23189 | consumed samples: 2654720 | consumed tokens: 5436866560 | elapsed time per iteration (s): 0.68 | learning rate: 1.264E-04 | global batch size: 256 | lm loss: 2.789004E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.639 | TFLOPs: 22.85 | 31: iteration 10380/ 23189 | consumed samples: 2657280 | consumed tokens: 5442109440 | elapsed time per iteration (s): 0.70 | learning rate: 1.263E-04 | global batch size: 256 | lm loss: 2.772145E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.066 | TFLOPs: 22.09 | 31: iteration 10390/ 23189 | consumed samples: 2659840 | consumed tokens: 5447352320 | elapsed time per iteration (s): 0.70 | learning rate: 1.262E-04 | global batch size: 256 | lm loss: 2.778943E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.953 | TFLOPs: 22.14 | 31: iteration 10400/ 23189 | consumed samples: 2662400 | consumed tokens: 5452595200 | elapsed time per iteration (s): 0.68 | learning rate: 1.261E-04 | global batch size: 256 | lm loss: 2.799539E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.057 | TFLOPs: 22.93 | 31: iteration 10410/ 23189 | consumed samples: 2664960 | consumed tokens: 5457838080 | elapsed time per iteration (s): 0.68 | learning rate: 1.259E-04 | global batch size: 256 | lm loss: 2.789215E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.315 | TFLOPs: 22.71 | 31: iteration 10420/ 23189 | consumed samples: 2667520 | consumed tokens: 5463080960 | elapsed time per iteration (s): 0.68 | learning rate: 1.258E-04 | global batch size: 256 | lm loss: 2.778849E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.103 | TFLOPs: 22.81 | 31: iteration 10430/ 23189 | consumed samples: 2670080 | consumed tokens: 5468323840 | elapsed time per iteration (s): 0.68 | learning rate: 1.257E-04 | global batch size: 256 | lm loss: 2.798510E+00 | grad norm: 0.282 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.965 | TFLOPs: 22.87 | 31: iteration 10440/ 23189 | consumed samples: 2672640 | consumed tokens: 5473566720 | elapsed time per iteration (s): 0.68 | learning rate: 1.256E-04 | global batch size: 256 | lm loss: 2.770410E+00 | grad norm: 0.286 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.851 | TFLOPs: 22.80 | 31: iteration 10450/ 23189 | consumed samples: 2675200 | consumed tokens: 5478809600 | elapsed time per iteration (s): 0.68 | learning rate: 1.254E-04 | global batch size: 256 | lm loss: 2.783335E+00 | grad norm: 0.290 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.015 | TFLOPs: 22.81 | 31: iteration 10460/ 23189 | consumed samples: 2677760 | consumed tokens: 5484052480 | elapsed time per iteration (s): 0.68 | learning rate: 1.253E-04 | global batch size: 256 | lm loss: 2.797270E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.936 | TFLOPs: 22.92 | 31: iteration 10470/ 23189 | consumed samples: 2680320 | consumed tokens: 5489295360 | elapsed time per iteration (s): 0.68 | learning rate: 1.252E-04 | global batch size: 256 | lm loss: 2.754435E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.171 | TFLOPs: 22.94 | 31: iteration 10480/ 23189 | consumed samples: 2682880 | consumed tokens: 5494538240 | elapsed time per iteration (s): 0.69 | learning rate: 1.251E-04 | global batch size: 256 | lm loss: 2.774931E+00 | grad norm: 0.287 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.019 | TFLOPs: 22.57 | 31: iteration 10490/ 23189 | consumed samples: 2685440 | consumed tokens: 5499781120 | elapsed time per iteration (s): 0.73 | learning rate: 1.250E-04 | global batch size: 256 | lm loss: 2.792552E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.894 | TFLOPs: 21.35 | 31: iteration 10500/ 23189 | consumed samples: 2688000 | consumed tokens: 5505024000 | elapsed time per iteration (s): 0.68 | learning rate: 1.248E-04 | global batch size: 256 | lm loss: 2.784249E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.838 | TFLOPs: 22.74 | 31: iteration 10510/ 23189 | consumed samples: 2690560 | consumed tokens: 5510266880 | elapsed time per iteration (s): 0.68 | learning rate: 1.247E-04 | global batch size: 256 | lm loss: 2.782517E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.947 | TFLOPs: 22.93 | 31: iteration 10520/ 23189 | consumed samples: 2693120 | consumed tokens: 5515509760 | elapsed time per iteration (s): 0.68 | learning rate: 1.246E-04 | global batch size: 256 | lm loss: 2.778744E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.661 | TFLOPs: 22.85 | 31: iteration 10530/ 23189 | consumed samples: 2695680 | consumed tokens: 5520752640 | elapsed time per iteration (s): 0.67 | learning rate: 1.245E-04 | global batch size: 256 | lm loss: 2.783955E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.381 | TFLOPs: 22.95 | 31: iteration 10540/ 23189 | consumed samples: 2698240 | consumed tokens: 5525995520 | elapsed time per iteration (s): 0.68 | learning rate: 1.244E-04 | global batch size: 256 | lm loss: 2.777185E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.705 | TFLOPs: 22.85 | 31: iteration 10550/ 23189 | consumed samples: 2700800 | consumed tokens: 5531238400 | elapsed time per iteration (s): 0.68 | learning rate: 1.242E-04 | global batch size: 256 | lm loss: 2.777709E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.459 | TFLOPs: 22.90 | 31: iteration 10560/ 23189 | consumed samples: 2703360 | consumed tokens: 5536481280 | elapsed time per iteration (s): 0.69 | learning rate: 1.241E-04 | global batch size: 256 | lm loss: 2.791192E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.168 | TFLOPs: 22.58 | 31: iteration 10570/ 23189 | consumed samples: 2705920 | consumed tokens: 5541724160 | elapsed time per iteration (s): 0.68 | learning rate: 1.240E-04 | global batch size: 256 | lm loss: 2.776503E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.525 | TFLOPs: 22.84 | 31: iteration 10580/ 23189 | consumed samples: 2708480 | consumed tokens: 5546967040 | elapsed time per iteration (s): 0.70 | learning rate: 1.239E-04 | global batch size: 256 | lm loss: 2.790761E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.533 | TFLOPs: 22.11 | 31: iteration 10590/ 23189 | consumed samples: 2711040 | consumed tokens: 5552209920 | elapsed time per iteration (s): 0.76 | learning rate: 1.237E-04 | global batch size: 256 | lm loss: 2.772866E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.976 | TFLOPs: 20.39 | 31: iteration 10600/ 23189 | consumed samples: 2713600 | consumed tokens: 5557452800 | elapsed time per iteration (s): 0.76 | learning rate: 1.236E-04 | global batch size: 256 | lm loss: 2.771632E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.425 | TFLOPs: 20.41 | 31: iteration 10610/ 23189 | consumed samples: 2716160 | consumed tokens: 5562695680 | elapsed time per iteration (s): 0.72 | learning rate: 1.235E-04 | global batch size: 256 | lm loss: 2.782204E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.260 | TFLOPs: 21.61 | 31: iteration 10620/ 23189 | consumed samples: 2718720 | consumed tokens: 5567938560 | elapsed time per iteration (s): 0.67 | learning rate: 1.234E-04 | global batch size: 256 | lm loss: 2.764974E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.854 | TFLOPs: 22.98 | 31: iteration 10630/ 23189 | consumed samples: 2721280 | consumed tokens: 5573181440 | elapsed time per iteration (s): 0.67 | learning rate: 1.233E-04 | global batch size: 256 | lm loss: 2.783960E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.412 | TFLOPs: 22.95 | 31: 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samples per second: 378.985 | TFLOPs: 22.93 | 31: iteration 10670/ 23189 | consumed samples: 2731520 | consumed tokens: 5594152960 | elapsed time per iteration (s): 0.68 | learning rate: 1.228E-04 | global batch size: 256 | lm loss: 2.787027E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.815 | TFLOPs: 22.61 | 31: iteration 10680/ 23189 | consumed samples: 2734080 | consumed tokens: 5599395840 | elapsed time per iteration (s): 0.68 | learning rate: 1.226E-04 | global batch size: 256 | lm loss: 2.772538E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.964 | TFLOPs: 22.68 | 31: iteration 10690/ 23189 | consumed samples: 2736640 | consumed tokens: 5604638720 | elapsed time per iteration (s): 0.68 | learning rate: 1.225E-04 | global batch size: 256 | lm loss: 2.763074E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.597 | TFLOPs: 22.66 | 31: iteration 10700/ 23189 | consumed samples: 2739200 | consumed tokens: 5609881600 | elapsed time per iteration (s): 0.70 | learning rate: 1.224E-04 | global batch size: 256 | lm loss: 2.761641E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.895 | TFLOPs: 22.20 | 31: iteration 10710/ 23189 | consumed samples: 2741760 | consumed tokens: 5615124480 | elapsed time per iteration (s): 0.75 | learning rate: 1.223E-04 | global batch size: 256 | lm loss: 2.770317E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.719 | TFLOPs: 20.55 | 31: iteration 10720/ 23189 | consumed samples: 2744320 | consumed tokens: 5620367360 | elapsed time per iteration (s): 0.73 | learning rate: 1.222E-04 | global batch size: 256 | lm loss: 2.765815E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.376 | TFLOPs: 21.20 | 31: iteration 10730/ 23189 | consumed samples: 2746880 | consumed tokens: 5625610240 | elapsed time per iteration (s): 0.71 | learning rate: 1.220E-04 | global batch size: 256 | lm loss: 2.767655E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.807 | TFLOPs: 21.83 | 31: iteration 10740/ 23189 | consumed samples: 2749440 | consumed tokens: 5630853120 | elapsed time per iteration (s): 0.70 | learning rate: 1.219E-04 | global batch size: 256 | lm loss: 2.765854E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.317 | TFLOPs: 22.16 | 31: iteration 10750/ 23189 | consumed samples: 2752000 | consumed tokens: 5636096000 | elapsed time per iteration (s): 0.71 | learning rate: 1.218E-04 | global batch size: 256 | lm loss: 2.770463E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.648 | TFLOPs: 21.70 | 31: iteration 10760/ 23189 | consumed samples: 2754560 | consumed tokens: 5641338880 | elapsed time per iteration (s): 0.72 | learning rate: 1.217E-04 | global batch size: 256 | lm loss: 2.759780E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.350 | TFLOPs: 21.44 | 31: iteration 10770/ 23189 | consumed samples: 2757120 | consumed tokens: 5646581760 | elapsed time per iteration (s): 0.72 | learning rate: 1.216E-04 | global batch size: 256 | lm loss: 2.759245E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.136 | TFLOPs: 21.55 | 31: iteration 10780/ 23189 | consumed samples: 2759680 | consumed tokens: 5651824640 | elapsed time per iteration (s): 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consumed samples: 2775040 | consumed tokens: 5683281920 | elapsed time per iteration (s): 0.75 | learning rate: 1.207E-04 | global batch size: 256 | lm loss: 2.740661E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.623 | TFLOPs: 20.73 | 31: iteration 10850/ 23189 | consumed samples: 2777600 | consumed tokens: 5688524800 | elapsed time per iteration (s): 0.72 | learning rate: 1.206E-04 | global batch size: 256 | lm loss: 2.759953E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.108 | TFLOPs: 21.36 | 31: iteration 10860/ 23189 | consumed samples: 2780160 | consumed tokens: 5693767680 | elapsed time per iteration (s): 0.74 | learning rate: 1.205E-04 | global batch size: 256 | lm loss: 2.758098E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.662 | TFLOPs: 20.79 | 31: iteration 10870/ 23189 | consumed samples: 2782720 | consumed tokens: 5699010560 | elapsed time per iteration (s): 0.81 | learning rate: 1.203E-04 | global batch size: 256 | lm loss: 2.766649E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.851 | TFLOPs: 19.11 | 31: iteration 10880/ 23189 | consumed samples: 2785280 | consumed tokens: 5704253440 | elapsed time per iteration (s): 0.82 | learning rate: 1.202E-04 | global batch size: 256 | lm loss: 2.754864E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.898 | TFLOPs: 18.99 | 31: iteration 10890/ 23189 | consumed samples: 2787840 | consumed tokens: 5709496320 | elapsed time per iteration (s): 0.77 | learning rate: 1.201E-04 | global batch size: 256 | lm loss: 2.755252E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.612 | TFLOPs: 20.06 | 31: iteration 10900/ 23189 | consumed samples: 2790400 | consumed tokens: 5714739200 | elapsed time per iteration (s): 0.77 | learning rate: 1.200E-04 | global batch size: 256 | lm loss: 2.764313E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.687 | TFLOPs: 20.07 | 31: iteration 10910/ 23189 | consumed samples: 2792960 | consumed tokens: 5719982080 | elapsed time per iteration (s): 0.79 | learning rate: 1.198E-04 | global batch size: 256 | lm loss: 2.748624E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.710 | TFLOPs: 19.70 | 31: iteration 10920/ 23189 | consumed samples: 2795520 | consumed tokens: 5725224960 | elapsed time per iteration (s): 0.70 | learning rate: 1.197E-04 | global batch size: 256 | lm loss: 2.770730E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.379 | TFLOPs: 22.16 | 31: iteration 10930/ 23189 | consumed samples: 2798080 | consumed tokens: 5730467840 | elapsed time per iteration (s): 0.70 | learning rate: 1.196E-04 | global batch size: 256 | lm loss: 2.754625E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.784 | TFLOPs: 22.25 | 31: iteration 10940/ 23189 | consumed samples: 2800640 | consumed tokens: 5735710720 | elapsed time per iteration (s): 0.70 | learning rate: 1.195E-04 | global batch size: 256 | lm loss: 2.753673E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.073 | TFLOPs: 22.21 | 31: iteration 10950/ 23189 | consumed samples: 2803200 | consumed tokens: 5740953600 | elapsed time per iteration (s): 0.70 | learning rate: 1.193E-04 | global batch size: 256 | lm loss: 2.758603E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.815 | TFLOPs: 22.01 | 31: iteration 10960/ 23189 | consumed samples: 2805760 | consumed tokens: 5746196480 | elapsed time per iteration (s): 0.73 | learning rate: 1.192E-04 | global batch size: 256 | lm loss: 2.749825E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.267 | TFLOPs: 21.31 | 31: iteration 10970/ 23189 | consumed samples: 2808320 | consumed tokens: 5751439360 | elapsed time per iteration (s): 0.73 | learning rate: 1.191E-04 | global batch size: 256 | lm loss: 2.759064E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.736 | TFLOPs: 21.34 | 31: iteration 10980/ 23189 | consumed samples: 2810880 | consumed tokens: 5756682240 | elapsed time per iteration (s): 0.71 | learning rate: 1.190E-04 | global batch size: 256 | lm loss: 2.769822E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.584 | TFLOPs: 21.94 | 31: iteration 10990/ 23189 | consumed samples: 2813440 | consumed tokens: 5761925120 | elapsed time per iteration (s): 0.70 | learning rate: 1.189E-04 | global batch size: 256 | lm loss: 2.757867E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.880 | TFLOPs: 22.01 | 31: iteration 11000/ 23189 | consumed samples: 2816000 | consumed tokens: 5767168000 | elapsed time per iteration (s): 0.72 | learning rate: 1.187E-04 | global batch size: 256 | lm loss: 2.746891E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.256 | TFLOPs: 21.37 | 31: iteration 11010/ 23189 | consumed samples: 2818560 | consumed tokens: 5772410880 | elapsed time per iteration (s): 0.72 | learning rate: 1.186E-04 | global batch size: 256 | lm loss: 2.745314E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.183 | TFLOPs: 21.37 | 31: iteration 11020/ 23189 | consumed samples: 2821120 | consumed tokens: 5777653760 | elapsed time per iteration (s): 0.71 | learning rate: 1.185E-04 | global batch size: 256 | lm loss: 2.767583E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.671 | TFLOPs: 21.82 | 31: iteration 11030/ 23189 | consumed samples: 2823680 | consumed tokens: 5782896640 | elapsed time per iteration (s): 0.73 | learning rate: 1.184E-04 | global batch size: 256 | lm loss: 2.746538E+00 | grad norm: 0.291 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.671 | TFLOPs: 21.34 | 31: iteration 11040/ 23189 | consumed samples: 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iteration 11070/ 23189 | consumed samples: 2833920 | consumed tokens: 5803868160 | elapsed time per iteration (s): 0.73 | learning rate: 1.179E-04 | global batch size: 256 | lm loss: 2.738799E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.923 | TFLOPs: 21.29 | 31: iteration 11080/ 23189 | consumed samples: 2836480 | consumed tokens: 5809111040 | elapsed time per iteration (s): 0.71 | learning rate: 1.178E-04 | global batch size: 256 | lm loss: 2.743313E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.831 | TFLOPs: 21.77 | 31: iteration 11090/ 23189 | consumed samples: 2839040 | consumed tokens: 5814353920 | elapsed time per iteration (s): 0.72 | learning rate: 1.176E-04 | global batch size: 256 | lm loss: 2.749728E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.884 | TFLOPs: 21.47 | 31: iteration 11100/ 23189 | consumed samples: 2841600 | consumed tokens: 5819596800 | elapsed time per iteration (s): 0.72 | learning rate: 1.175E-04 | global batch size: 256 | lm loss: 2.756418E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.114 | TFLOPs: 21.42 | 31: iteration 11110/ 23189 | consumed samples: 2844160 | consumed tokens: 5824839680 | elapsed time per iteration (s): 0.73 | learning rate: 1.174E-04 | global batch size: 256 | lm loss: 2.749117E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.622 | TFLOPs: 21.27 | 31: iteration 11120/ 23189 | consumed samples: 2846720 | consumed tokens: 5830082560 | elapsed time per iteration (s): 0.71 | learning rate: 1.173E-04 | global batch size: 256 | lm loss: 2.738868E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.979 | TFLOPs: 21.72 | 31: iteration 11130/ 23189 | consumed samples: 2849280 | consumed tokens: 5835325440 | elapsed time per iteration (s): 0.74 | learning rate: 1.171E-04 | global batch size: 256 | lm loss: 2.745341E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.148 | TFLOPs: 20.82 | 31: iteration 11140/ 23189 | consumed samples: 2851840 | consumed tokens: 5840568320 | elapsed time per iteration (s): 0.72 | learning rate: 1.170E-04 | global batch size: 256 | lm loss: 2.741590E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.538 | TFLOPs: 21.63 | 31: iteration 11150/ 23189 | consumed samples: 2854400 | consumed tokens: 5845811200 | elapsed time per iteration (s): 0.72 | learning rate: 1.169E-04 | global batch size: 256 | lm loss: 2.762954E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.970 | TFLOPs: 21.47 | 31: iteration 11160/ 23189 | consumed samples: 2856960 | consumed tokens: 5851054080 | elapsed time per iteration (s): 0.71 | learning rate: 1.168E-04 | global batch size: 256 | lm loss: 2.758774E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.698 | TFLOPs: 21.76 | 31: iteration 11170/ 23189 | consumed samples: 2859520 | consumed tokens: 5856296960 | elapsed time per iteration (s): 0.73 | learning rate: 1.167E-04 | global batch size: 256 | lm loss: 2.739505E+00 | grad norm: 0.279 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.455 | TFLOPs: 21.14 | 31: iteration 11180/ 23189 | consumed samples: 2862080 | consumed tokens: 5861539840 | elapsed time per iteration (s): 0.71 | learning rate: 1.165E-04 | global batch size: 256 | lm loss: 2.743742E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.382 | TFLOPs: 21.74 | 31: iteration 11190/ 23189 | consumed samples: 2864640 | consumed tokens: 5866782720 | elapsed time per iteration (s): 0.70 | learning rate: 1.164E-04 | global batch size: 256 | lm loss: 2.739959E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.524 | TFLOPs: 22.11 | 31: iteration 11200/ 23189 | consumed samples: 2867200 | consumed tokens: 5872025600 | elapsed time per iteration (s): 0.72 | learning rate: 1.163E-04 | global batch size: 256 | lm loss: 2.759236E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.557 | TFLOPs: 21.45 | 31: iteration 11210/ 23189 | consumed samples: 2869760 | consumed tokens: 5877268480 | elapsed time per iteration (s): 0.70 | learning rate: 1.162E-04 | global batch size: 256 | lm loss: 2.749570E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.125 | TFLOPs: 22.21 | 31: iteration 11220/ 23189 | consumed samples: 2872320 | consumed tokens: 5882511360 | elapsed time per iteration (s): 0.71 | learning rate: 1.160E-04 | global batch size: 256 | lm loss: 2.737773E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.123 | TFLOPs: 21.91 | 31: iteration 11230/ 23189 | consumed samples: 2874880 | consumed tokens: 5887754240 | elapsed time per iteration (s): 0.70 | learning rate: 1.159E-04 | global batch size: 256 | lm loss: 2.757083E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.977 | TFLOPs: 22.02 | 31: iteration 11240/ 23189 | consumed samples: 2877440 | consumed tokens: 5892997120 | elapsed time per iteration (s): 0.71 | learning rate: 1.158E-04 | global batch size: 256 | lm loss: 2.733620E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.216 | TFLOPs: 21.85 | 31: iteration 11250/ 23189 | consumed samples: 2880000 | consumed tokens: 5898240000 | elapsed time per iteration (s): 0.70 | learning rate: 1.157E-04 | global batch size: 256 | lm loss: 2.750980E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.119 | TFLOPs: 22.09 | 31: iteration 11260/ 23189 | consumed samples: 2882560 | consumed tokens: 5903482880 | elapsed time per iteration (s): 0.73 | learning rate: 1.155E-04 | global batch size: 256 | lm loss: 2.754341E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.368 | TFLOPs: 21.14 | 31: iteration 11270/ 23189 | consumed samples: 2885120 | consumed tokens: 5908725760 | elapsed time per iteration (s): 0.72 | learning rate: 1.154E-04 | global batch size: 256 | lm loss: 2.741589E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.918 | TFLOPs: 21.59 | 31: iteration 11280/ 23189 | consumed samples: 2887680 | consumed tokens: 5913968640 | elapsed time per iteration (s): 0.71 | learning rate: 1.153E-04 | global batch size: 256 | lm loss: 2.749234E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.362 | TFLOPs: 21.68 | 31: iteration 11290/ 23189 | consumed samples: 2890240 | consumed tokens: 5919211520 | elapsed time per iteration (s): 0.76 | learning rate: 1.152E-04 | global batch size: 256 | lm loss: 2.752436E+00 | grad norm: 0.297 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.832 | TFLOPs: 20.38 | 31: iteration 11300/ 23189 | consumed samples: 2892800 | consumed tokens: 5924454400 | elapsed time per iteration (s): 0.76 | learning rate: 1.151E-04 | global batch size: 256 | lm loss: 2.751535E+00 | grad norm: 0.288 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.298 | TFLOPs: 20.41 | 31: iteration 11310/ 23189 | consumed samples: 2895360 | consumed tokens: 5929697280 | elapsed time per iteration (s): 0.71 | learning rate: 1.149E-04 | global batch size: 256 | lm loss: 2.742317E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.544 | TFLOPs: 21.87 | 31: iteration 11320/ 23189 | consumed samples: 2897920 | consumed tokens: 5934940160 | elapsed time per iteration (s): 0.71 | learning rate: 1.148E-04 | global batch size: 256 | lm loss: 2.732031E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.551 | TFLOPs: 21.69 | 31: iteration 11330/ 23189 | consumed samples: 2900480 | consumed tokens: 5940183040 | elapsed time per iteration (s): 0.69 | learning rate: 1.147E-04 | global batch size: 256 | lm loss: 2.726052E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.856 | TFLOPs: 22.50 | 31: iteration 11340/ 23189 | consumed samples: 2903040 | consumed tokens: 5945425920 | elapsed time per iteration (s): 0.69 | learning rate: 1.146E-04 | global batch size: 256 | lm loss: 2.739768E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.418 | TFLOPs: 22.41 | 31: iteration 11350/ 23189 | consumed samples: 2905600 | consumed tokens: 5950668800 | elapsed time per iteration (s): 0.70 | learning rate: 1.144E-04 | global batch size: 256 | lm loss: 2.758365E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.492 | TFLOPs: 22.11 | 31: iteration 11360/ 23189 | consumed samples: 2908160 | consumed tokens: 5955911680 | elapsed time per iteration (s): 0.70 | learning rate: 1.143E-04 | global batch size: 256 | lm loss: 2.735784E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.210 | TFLOPs: 22.28 | 31: iteration 11370/ 23189 | consumed samples: 2910720 | consumed tokens: 5961154560 | elapsed time per iteration (s): 0.69 | learning rate: 1.142E-04 | global batch size: 256 | lm loss: 2.739690E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.679 | TFLOPs: 22.43 | 31: iteration 11380/ 23189 | consumed samples: 2913280 | consumed tokens: 5966397440 | elapsed time per iteration (s): 0.70 | learning rate: 1.141E-04 | global batch size: 256 | lm loss: 2.746016E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.910 | TFLOPs: 22.20 | 31: iteration 11390/ 23189 | consumed samples: 2915840 | consumed tokens: 5971640320 | elapsed time per iteration (s): 0.71 | learning rate: 1.139E-04 | global batch size: 256 | lm loss: 2.742993E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.890 | TFLOPs: 21.77 | 31: iteration 11400/ 23189 | consumed samples: 2918400 | consumed tokens: 5976883200 | elapsed time per iteration (s): 0.71 | learning rate: 1.138E-04 | global batch size: 256 | lm loss: 2.736075E+00 | grad norm: 0.284 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.145 | TFLOPs: 21.79 | 31: iteration 11410/ 23189 | consumed samples: 2920960 | consumed tokens: 5982126080 | elapsed time per iteration (s): 0.73 | learning rate: 1.137E-04 | global batch size: 256 | lm loss: 2.730329E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.731 | TFLOPs: 21.28 | 31: iteration 11420/ 23189 | consumed samples: 2923520 | consumed tokens: 5987368960 | elapsed time per iteration (s): 0.71 | learning rate: 1.136E-04 | global batch size: 256 | lm loss: 2.733722E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.297 | TFLOPs: 21.80 | 31: iteration 11430/ 23189 | consumed samples: 2926080 | consumed tokens: 5992611840 | elapsed time per iteration (s): 0.70 | learning rate: 1.135E-04 | global batch size: 256 | lm loss: 2.735757E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.626 | TFLOPs: 22.24 | 31: iteration 11440/ 23189 | consumed samples: 2928640 | consumed tokens: 5997854720 | elapsed time per iteration (s): 0.70 | learning rate: 1.133E-04 | global batch size: 256 | lm loss: 2.735698E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.958 | TFLOPs: 22.26 | 31: iteration 11450/ 23189 | consumed samples: 2931200 | consumed tokens: 6003097600 | elapsed time per iteration (s): 0.71 | learning rate: 1.132E-04 | global batch size: 256 | lm loss: 2.737232E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.069 | TFLOPs: 21.72 | 31: iteration 11460/ 23189 | consumed samples: 2933760 | consumed tokens: 6008340480 | elapsed time per iteration (s): 0.71 | learning rate: 1.131E-04 | global batch size: 256 | lm loss: 2.735069E+00 | grad norm: 0.289 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.720 | TFLOPs: 21.76 | 31: iteration 11470/ 23189 | consumed samples: 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iteration 11500/ 23189 | consumed samples: 2944000 | consumed tokens: 6029312000 | elapsed time per iteration (s): 0.73 | learning rate: 1.126E-04 | global batch size: 256 | lm loss: 2.730854E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.492 | TFLOPs: 21.08 | 31: iteration 11510/ 23189 | consumed samples: 2946560 | consumed tokens: 6034554880 | elapsed time per iteration (s): 0.70 | learning rate: 1.125E-04 | global batch size: 256 | lm loss: 2.722618E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.786 | TFLOPs: 22.25 | 31: iteration 11520/ 23189 | consumed samples: 2949120 | consumed tokens: 6039797760 | elapsed time per iteration (s): 0.68 | learning rate: 1.123E-04 | global batch size: 256 | lm loss: 2.723005E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.170 | TFLOPs: 22.64 | 31: iteration 11530/ 23189 | consumed samples: 2951680 | consumed tokens: 6045040640 | elapsed time per iteration (s): 0.71 | learning rate: 1.122E-04 | global batch size: 256 | lm loss: 2.746418E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.988 | TFLOPs: 21.84 | 31: iteration 11540/ 23189 | consumed samples: 2954240 | consumed tokens: 6050283520 | elapsed time per iteration (s): 0.68 | learning rate: 1.121E-04 | global batch size: 256 | lm loss: 2.720524E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.630 | TFLOPs: 22.66 | 31: iteration 11550/ 23189 | consumed samples: 2956800 | consumed tokens: 6055526400 | elapsed time per iteration (s): 0.68 | learning rate: 1.120E-04 | global batch size: 256 | lm loss: 2.719876E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.643 | TFLOPs: 22.91 | 31: iteration 11560/ 23189 | consumed samples: 2959360 | consumed tokens: 6060769280 | elapsed time per iteration (s): 0.73 | learning rate: 1.119E-04 | global batch size: 256 | lm loss: 2.734112E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.067 | TFLOPs: 21.24 | 31: iteration 11570/ 23189 | consumed samples: 2961920 | consumed tokens: 6066012160 | elapsed time per iteration (s): 0.68 | learning rate: 1.117E-04 | global batch size: 256 | lm loss: 2.710919E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.845 | TFLOPs: 22.74 | 31: iteration 11580/ 23189 | consumed samples: 2964480 | consumed tokens: 6071255040 | elapsed time per iteration (s): 0.72 | learning rate: 1.116E-04 | global batch size: 256 | lm loss: 2.716280E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.897 | TFLOPs: 21.53 | 31: iteration 11590/ 23189 | consumed samples: 2967040 | consumed tokens: 6076497920 | elapsed time per iteration (s): 0.71 | learning rate: 1.115E-04 | global batch size: 256 | lm loss: 2.727549E+00 | grad norm: 0.294 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.904 | TFLOPs: 21.71 | 31: iteration 11600/ 23189 | consumed samples: 2969600 | consumed tokens: 6081740800 | elapsed time per iteration (s): 0.72 | learning rate: 1.114E-04 | global batch size: 256 | lm loss: 2.728394E+00 | grad norm: 0.293 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.602 | TFLOPs: 21.57 | 31: iteration 11610/ 23189 | consumed samples: 2972160 | consumed tokens: 6086983680 | elapsed time per iteration (s): 0.74 | learning rate: 1.112E-04 | global batch size: 256 | lm loss: 2.738091E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.666 | TFLOPs: 20.97 | 31: iteration 11620/ 23189 | consumed samples: 2974720 | consumed tokens: 6092226560 | elapsed time per iteration (s): 0.71 | learning rate: 1.111E-04 | global batch size: 256 | lm loss: 2.743551E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.047 | TFLOPs: 21.72 | 31: iteration 11630/ 23189 | consumed samples: 2977280 | consumed tokens: 6097469440 | elapsed time per iteration (s): 0.73 | learning rate: 1.110E-04 | global batch size: 256 | lm loss: 2.720073E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.917 | TFLOPs: 21.35 | 31: iteration 11640/ 23189 | consumed samples: 2979840 | consumed tokens: 6102712320 | elapsed time per iteration (s): 0.71 | learning rate: 1.109E-04 | global batch size: 256 | lm loss: 2.722047E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.488 | TFLOPs: 21.93 | 31: iteration 11650/ 23189 | consumed samples: 2982400 | consumed tokens: 6107955200 | elapsed time per iteration (s): 0.72 | learning rate: 1.107E-04 | global batch size: 256 | lm loss: 2.721675E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.882 | TFLOPs: 21.65 | 31: iteration 11660/ 23189 | consumed samples: 2984960 | consumed tokens: 6113198080 | elapsed time per iteration (s): 0.71 | learning rate: 1.106E-04 | global batch size: 256 | lm loss: 2.720610E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.152 | TFLOPs: 21.85 | 31: iteration 11670/ 23189 | consumed samples: 2987520 | consumed tokens: 6118440960 | elapsed time per iteration (s): 0.71 | learning rate: 1.105E-04 | global batch size: 256 | lm loss: 2.736195E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.104 | TFLOPs: 21.85 | 31: iteration 11680/ 23189 | consumed samples: 2990080 | consumed tokens: 6123683840 | elapsed time per iteration (s): 0.68 | learning rate: 1.104E-04 | global batch size: 256 | lm loss: 2.732031E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.953 | TFLOPs: 22.62 | 31: iteration 11690/ 23189 | consumed samples: 2992640 | consumed tokens: 6128926720 | elapsed time per iteration (s): 0.70 | learning rate: 1.103E-04 | global batch size: 256 | lm loss: 2.721809E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.002 | TFLOPs: 22.02 | 31: iteration 11700/ 23189 | consumed samples: 2995200 | consumed tokens: 6134169600 | elapsed time per iteration (s): 0.74 | learning rate: 1.101E-04 | global batch size: 256 | lm loss: 2.718910E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.183 | TFLOPs: 21.00 | 31: iteration 11710/ 23189 | consumed samples: 2997760 | consumed tokens: 6139412480 | elapsed time per iteration (s): 0.71 | learning rate: 1.100E-04 | global batch size: 256 | lm loss: 2.724056E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.899 | TFLOPs: 21.71 | 31: iteration 11720/ 23189 | consumed samples: 3000320 | consumed tokens: 6144655360 | elapsed time per iteration (s): 0.69 | learning rate: 1.099E-04 | global batch size: 256 | lm loss: 2.711111E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.894 | TFLOPs: 22.32 | 31: iteration 11730/ 23189 | consumed samples: 3002880 | consumed tokens: 6149898240 | elapsed time per iteration (s): 0.73 | learning rate: 1.098E-04 | global batch size: 256 | lm loss: 2.722940E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.171 | TFLOPs: 21.24 | 31: iteration 11740/ 23189 | consumed samples: 3005440 | consumed tokens: 6155141120 | elapsed time per iteration (s): 0.73 | learning rate: 1.096E-04 | global batch size: 256 | lm loss: 2.725772E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.859 | TFLOPs: 21.11 | 31: iteration 11750/ 23189 | consumed samples: 3008000 | consumed tokens: 6160384000 | elapsed time per iteration (s): 0.73 | learning rate: 1.095E-04 | global batch size: 256 | lm loss: 2.731071E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.464 | TFLOPs: 21.32 | 31: iteration 11760/ 23189 | consumed samples: 3010560 | consumed tokens: 6165626880 | elapsed time per iteration (s): 0.68 | learning rate: 1.094E-04 | global batch size: 256 | lm loss: 2.722369E+00 | grad norm: 0.296 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.628 | TFLOPs: 22.85 | 31: iteration 11770/ 23189 | consumed samples: 3013120 | consumed tokens: 6170869760 | elapsed time per iteration (s): 0.71 | learning rate: 1.093E-04 | global batch size: 256 | lm loss: 2.710659E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.410 | TFLOPs: 21.68 | 31: iteration 11780/ 23189 | consumed samples: 3015680 | consumed tokens: 6176112640 | elapsed time per iteration (s): 0.73 | learning rate: 1.091E-04 | global batch size: 256 | lm loss: 2.711801E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.801 | TFLOPs: 21.34 | 31: iteration 11790/ 23189 | consumed samples: 3018240 | consumed tokens: 6181355520 | elapsed time per iteration (s): 0.73 | learning rate: 1.090E-04 | global batch size: 256 | lm loss: 2.716960E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.778 | TFLOPs: 21.28 | 31: iteration 11800/ 23189 | consumed samples: 3020800 | consumed tokens: 6186598400 | elapsed time per iteration (s): 0.76 | learning rate: 1.089E-04 | global batch size: 256 | lm loss: 2.710671E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.346 | TFLOPs: 20.35 | 31: iteration 11810/ 23189 | consumed samples: 3023360 | consumed tokens: 6191841280 | elapsed time per iteration (s): 0.70 | learning rate: 1.088E-04 | global batch size: 256 | lm loss: 2.727289E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.503 | TFLOPs: 22.05 | 31: iteration 11820/ 23189 | consumed samples: 3025920 | consumed tokens: 6197084160 | elapsed time per iteration (s): 0.72 | learning rate: 1.087E-04 | global batch size: 256 | lm loss: 2.715990E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.755 | TFLOPs: 21.46 | 31: iteration 11830/ 23189 | consumed samples: 3028480 | consumed tokens: 6202327040 | elapsed time per iteration (s): 0.69 | learning rate: 1.085E-04 | global batch size: 256 | lm loss: 2.735986E+00 | grad norm: 0.302 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.396 | TFLOPs: 22.35 | 31: iteration 11840/ 23189 | consumed samples: 3031040 | consumed tokens: 6207569920 | elapsed time per iteration (s): 0.79 | learning rate: 1.084E-04 | global batch size: 256 | lm loss: 2.696630E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.126 | TFLOPs: 19.67 | 31: iteration 11850/ 23189 | consumed samples: 3033600 | consumed tokens: 6212812800 | elapsed time per iteration (s): 0.72 | learning rate: 1.083E-04 | global batch size: 256 | lm loss: 2.719234E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.385 | TFLOPs: 21.56 | 31: iteration 11860/ 23189 | consumed samples: 3036160 | consumed tokens: 6218055680 | elapsed time per iteration (s): 0.70 | learning rate: 1.082E-04 | global batch size: 256 | lm loss: 2.697509E+00 | grad norm: 0.295 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.965 | TFLOPs: 22.14 | 31: iteration 11870/ 23189 | consumed samples: 3038720 | consumed tokens: 6223298560 | elapsed time per iteration (s): 0.74 | learning rate: 1.080E-04 | global batch size: 256 | lm loss: 2.710831E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.455 | TFLOPs: 20.96 | 31: iteration 11880/ 23189 | consumed samples: 3041280 | consumed tokens: 6228541440 | elapsed time per iteration (s): 0.71 | learning rate: 1.079E-04 | global batch size: 256 | lm loss: 2.725889E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.029 | TFLOPs: 21.96 | 31: iteration 11890/ 23189 | consumed samples: 3043840 | consumed tokens: 6233784320 | elapsed time per iteration (s): 0.70 | learning rate: 1.078E-04 | global batch size: 256 | lm loss: 2.704826E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.613 | TFLOPs: 22.24 | 31: iteration 11900/ 23189 | consumed samples: 3046400 | consumed tokens: 6239027200 | elapsed time per iteration (s): 0.69 | learning rate: 1.077E-04 | global batch size: 256 | lm loss: 2.728576E+00 | grad norm: 0.292 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.411 | TFLOPs: 22.59 | 31: iteration 11910/ 23189 | consumed samples: 3048960 | consumed tokens: 6244270080 | elapsed time per iteration (s): 0.74 | learning rate: 1.075E-04 | global batch size: 256 | lm loss: 2.711897E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.950 | TFLOPs: 20.81 | 31: iteration 11920/ 23189 | consumed samples: 3051520 | consumed tokens: 6249512960 | elapsed time per iteration (s): 0.71 | learning rate: 1.074E-04 | global batch size: 256 | lm loss: 2.714162E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.871 | TFLOPs: 21.77 | 31: iteration 11930/ 23189 | consumed samples: 3054080 | consumed tokens: 6254755840 | elapsed time per iteration (s): 0.71 | learning rate: 1.073E-04 | global batch size: 256 | lm loss: 2.709394E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.245 | TFLOPs: 21.91 | 31: iteration 11940/ 23189 | consumed samples: 3056640 | consumed tokens: 6259998720 | elapsed time per iteration (s): 0.69 | learning rate: 1.072E-04 | global batch size: 256 | lm loss: 2.693351E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.677 | TFLOPs: 22.43 | 31: iteration 11950/ 23189 | consumed samples: 3059200 | consumed tokens: 6265241600 | elapsed time per iteration (s): 0.70 | learning rate: 1.071E-04 | global batch size: 256 | lm loss: 2.709369E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.913 | TFLOPs: 22.26 | 31: iteration 11960/ 23189 | consumed samples: 3061760 | consumed tokens: 6270484480 | elapsed time per iteration (s): 0.69 | learning rate: 1.069E-04 | global batch size: 256 | lm loss: 2.721001E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.257 | TFLOPs: 22.40 | 31: iteration 11970/ 23189 | consumed samples: 3064320 | consumed tokens: 6275727360 | elapsed time per iteration (s): 0.72 | learning rate: 1.068E-04 | global batch size: 256 | lm loss: 2.708423E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.805 | TFLOPs: 21.65 | 31: iteration 11980/ 23189 | consumed samples: 3066880 | consumed tokens: 6280970240 | elapsed time per iteration (s): 0.74 | learning rate: 1.067E-04 | global batch size: 256 | lm loss: 2.712476E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.975 | TFLOPs: 20.93 | 31: iteration 11990/ 23189 | consumed samples: 3069440 | consumed tokens: 6286213120 | elapsed time per iteration (s): 0.70 | learning rate: 1.066E-04 | global batch size: 256 | lm loss: 2.698829E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.901 | TFLOPs: 22.14 | 0: [2023-03-16 00:19:16,647] [INFO] [logging.py:68:log_dist] [Rank 0] step=12000, skipped=0, lr=[0.0001064355210119705, 0.0001064355210119705, 0.0001064355210119705], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 12000/ 23189 | consumed samples: 3072000 | consumed tokens: 6291456000 | elapsed time per iteration (s): 0.70 | learning rate: 1.064E-04 | global batch size: 256 | lm loss: 2.691874E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.474 | TFLOPs: 22.11 | 0: steps: 12000 loss: 2.6871 iter time (s): 0.703 samples/sec: 363.921 31: iteration 12010/ 23189 | consumed samples: 3074560 | consumed tokens: 6296698880 | elapsed time per iteration (s): 0.69 | learning rate: 1.063E-04 | global batch size: 256 | lm loss: 2.709998E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.750 | TFLOPs: 22.37 | 31: iteration 12020/ 23189 | consumed samples: 3077120 | consumed tokens: 6301941760 | elapsed time per iteration (s): 0.68 | learning rate: 1.062E-04 | global batch size: 256 | lm loss: 2.702575E+00 | grad norm: 0.298 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.454 | TFLOPs: 22.65 | 31: iteration 12030/ 23189 | consumed samples: 3079680 | consumed tokens: 6307184640 | elapsed time per iteration (s): 0.70 | learning rate: 1.061E-04 | global batch size: 256 | lm loss: 2.704639E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.562 | TFLOPs: 22.12 | 31: iteration 12040/ 23189 | consumed samples: 3082240 | consumed tokens: 6312427520 | elapsed time per iteration (s): 0.71 | learning rate: 1.059E-04 | global batch size: 256 | lm loss: 2.715016E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.700 | TFLOPs: 21.94 | 31: iteration 12050/ 23189 | consumed samples: 3084800 | consumed tokens: 6317670400 | elapsed time per iteration (s): 0.69 | learning rate: 1.058E-04 | global batch size: 256 | lm loss: 2.706796E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.214 | TFLOPs: 22.34 | 31: iteration 12060/ 23189 | consumed samples: 3087360 | consumed tokens: 6322913280 | elapsed time per iteration (s): 0.70 | learning rate: 1.057E-04 | global batch size: 256 | lm loss: 2.705498E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.333 | TFLOPs: 22.04 | 31: iteration 12070/ 23189 | consumed samples: 3089920 | consumed tokens: 6328156160 | elapsed time per iteration (s): 0.71 | learning rate: 1.056E-04 | global batch size: 256 | lm loss: 2.705175E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.541 | TFLOPs: 21.93 | 31: iteration 12080/ 23189 | consumed samples: 3092480 | consumed tokens: 6333399040 | elapsed time per iteration (s): 0.72 | learning rate: 1.055E-04 | global batch size: 256 | lm loss: 2.711997E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.016 | TFLOPs: 21.42 | 31: iteration 12090/ 23189 | consumed samples: 3095040 | consumed tokens: 6338641920 | elapsed time per iteration (s): 0.68 | learning rate: 1.053E-04 | global batch size: 256 | lm loss: 2.698464E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.917 | TFLOPs: 22.68 | 31: iteration 12100/ 23189 | consumed samples: 3097600 | consumed tokens: 6343884800 | elapsed time per iteration (s): 0.69 | learning rate: 1.052E-04 | global batch size: 256 | lm loss: 2.710981E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.377 | TFLOPs: 22.29 | 31: iteration 12110/ 23189 | consumed samples: 3100160 | consumed tokens: 6349127680 | elapsed time per iteration (s): 0.70 | learning rate: 1.051E-04 | global batch size: 256 | lm loss: 2.707136E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.765 | TFLOPs: 22.19 | 31: iteration 12120/ 23189 | consumed samples: 3102720 | consumed tokens: 6354370560 | elapsed time per iteration (s): 0.72 | learning rate: 1.050E-04 | global batch size: 256 | lm loss: 2.702939E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.590 | TFLOPs: 21.63 | 31: iteration 12130/ 23189 | consumed samples: 3105280 | consumed tokens: 6359613440 | elapsed time per iteration (s): 0.69 | learning rate: 1.048E-04 | global batch size: 256 | lm loss: 2.699240E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.369 | TFLOPs: 22.41 | 31: iteration 12140/ 23189 | consumed samples: 3107840 | consumed tokens: 6364856320 | elapsed time per iteration (s): 0.71 | learning rate: 1.047E-04 | global batch size: 256 | lm loss: 2.704206E+00 | grad norm: 0.299 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.545 | TFLOPs: 21.93 | 31: iteration 12150/ 23189 | consumed samples: 3110400 | consumed tokens: 6370099200 | elapsed time per iteration (s): 0.69 | learning rate: 1.046E-04 | global batch size: 256 | lm loss: 2.703447E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.263 | TFLOPs: 22.46 | 31: iteration 12160/ 23189 | consumed samples: 3112960 | consumed tokens: 6375342080 | elapsed time per iteration (s): 0.71 | learning rate: 1.045E-04 | global batch size: 256 | lm loss: 2.702452E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.625 | TFLOPs: 21.88 | 31: iteration 12170/ 23189 | consumed samples: 3115520 | consumed tokens: 6380584960 | elapsed time per iteration (s): 0.70 | learning rate: 1.043E-04 | global batch size: 256 | lm loss: 2.703711E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.762 | TFLOPs: 22.19 | 31: iteration 12180/ 23189 | consumed samples: 3118080 | consumed tokens: 6385827840 | elapsed time per iteration (s): 0.69 | learning rate: 1.042E-04 | global batch size: 256 | lm loss: 2.693497E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.612 | TFLOPs: 22.54 | 31: iteration 12190/ 23189 | consumed samples: 3120640 | consumed tokens: 6391070720 | elapsed time per iteration (s): 0.69 | learning rate: 1.041E-04 | global batch size: 256 | lm loss: 2.704316E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.811 | TFLOPs: 22.43 | 31: iteration 12200/ 23189 | consumed samples: 3123200 | consumed tokens: 6396313600 | elapsed time per iteration (s): 0.73 | learning rate: 1.040E-04 | global batch size: 256 | lm loss: 2.701704E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.841 | TFLOPs: 21.10 | 31: iteration 12210/ 23189 | consumed samples: 3125760 | consumed tokens: 6401556480 | elapsed time per iteration (s): 0.70 | learning rate: 1.039E-04 | global batch size: 256 | lm loss: 2.679105E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.943 | TFLOPs: 22.26 | 31: iteration 12220/ 23189 | consumed samples: 3128320 | consumed tokens: 6406799360 | elapsed time per iteration (s): 0.70 | learning rate: 1.037E-04 | global batch size: 256 | lm loss: 2.715383E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.952 | TFLOPs: 22.26 | 31: iteration 12230/ 23189 | consumed samples: 3130880 | consumed tokens: 6412042240 | elapsed time per iteration (s): 0.72 | learning rate: 1.036E-04 | global batch size: 256 | lm loss: 2.690812E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.625 | TFLOPs: 21.51 | 31: iteration 12240/ 23189 | consumed samples: 3133440 | consumed tokens: 6417285120 | elapsed time per iteration (s): 0.70 | learning rate: 1.035E-04 | global batch size: 256 | lm loss: 2.700227E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.931 | TFLOPs: 22.26 | 31: iteration 12250/ 23189 | consumed samples: 3136000 | consumed tokens: 6422528000 | elapsed time per iteration (s): 0.68 | learning rate: 1.034E-04 | global batch size: 256 | lm loss: 2.689105E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.387 | TFLOPs: 22.65 | 31: iteration 12260/ 23189 | consumed samples: 3138560 | consumed tokens: 6427770880 | elapsed time per iteration (s): 0.70 | learning rate: 1.032E-04 | global batch size: 256 | lm loss: 2.703245E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.088 | TFLOPs: 22.21 | 31: iteration 12270/ 23189 | consumed samples: 3141120 | consumed tokens: 6433013760 | elapsed time per iteration (s): 0.68 | learning rate: 1.031E-04 | global batch size: 256 | lm loss: 2.689872E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.494 | TFLOPs: 22.78 | 31: iteration 12280/ 23189 | consumed samples: 3143680 | consumed tokens: 6438256640 | elapsed time per iteration (s): 0.73 | learning rate: 1.030E-04 | global batch size: 256 | lm loss: 2.697307E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.981 | TFLOPs: 21.23 | 31: iteration 12290/ 23189 | consumed samples: 3146240 | consumed tokens: 6443499520 | elapsed time per iteration (s): 0.69 | learning rate: 1.029E-04 | global batch size: 256 | lm loss: 2.685653E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.350 | TFLOPs: 22.59 | 31: iteration 12300/ 23189 | consumed samples: 3148800 | consumed tokens: 6448742400 | elapsed time per iteration (s): 0.70 | learning rate: 1.027E-04 | global batch size: 256 | lm loss: 2.704276E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.243 | TFLOPs: 22.28 | 31: iteration 12310/ 23189 | consumed samples: 3151360 | consumed tokens: 6453985280 | elapsed time per iteration (s): 0.69 | learning rate: 1.026E-04 | global batch size: 256 | lm loss: 2.703671E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.694 | TFLOPs: 22.61 | 31: iteration 12320/ 23189 | consumed samples: 3153920 | consumed tokens: 6459228160 | elapsed time per iteration (s): 0.73 | learning rate: 1.025E-04 | global batch size: 256 | lm loss: 2.686698E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.411 | TFLOPs: 21.20 | 31: iteration 12330/ 23189 | consumed samples: 3156480 | consumed tokens: 6464471040 | elapsed time per iteration (s): 0.68 | learning rate: 1.024E-04 | global batch size: 256 | lm loss: 2.688831E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.029 | TFLOPs: 22.81 | 31: iteration 12340/ 23189 | consumed samples: 3159040 | consumed tokens: 6469713920 | elapsed time per iteration (s): 0.69 | learning rate: 1.023E-04 | global batch size: 256 | lm loss: 2.682276E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.460 | TFLOPs: 22.41 | 31: iteration 12350/ 23189 | consumed samples: 3161600 | consumed tokens: 6474956800 | elapsed time per iteration (s): 0.71 | learning rate: 1.021E-04 | global batch size: 256 | lm loss: 2.694031E+00 | grad norm: 0.303 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.324 | TFLOPs: 21.86 | 31: iteration 12360/ 23189 | consumed samples: 3164160 | consumed tokens: 6480199680 | elapsed time per iteration (s): 0.68 | learning rate: 1.020E-04 | global batch size: 256 | lm loss: 2.699649E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.953 | TFLOPs: 22.74 | 31: iteration 12370/ 23189 | consumed samples: 3166720 | consumed tokens: 6485442560 | elapsed time per iteration (s): 0.69 | learning rate: 1.019E-04 | global batch size: 256 | lm loss: 2.678206E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.252 | TFLOPs: 22.46 | 31: iteration 12380/ 23189 | consumed samples: 3169280 | consumed tokens: 6490685440 | elapsed time per iteration (s): 0.70 | learning rate: 1.018E-04 | global batch size: 256 | lm loss: 2.687583E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.803 | TFLOPs: 22.13 | 31: iteration 12390/ 23189 | consumed samples: 3171840 | consumed tokens: 6495928320 | elapsed time per iteration (s): 0.70 | learning rate: 1.016E-04 | global batch size: 256 | lm loss: 2.701836E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.353 | TFLOPs: 22.22 | 31: iteration 12400/ 23189 | consumed samples: 3174400 | consumed tokens: 6501171200 | elapsed time per iteration (s): 0.75 | learning rate: 1.015E-04 | global batch size: 256 | lm loss: 2.695645E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.497 | TFLOPs: 20.78 | 31: iteration 12410/ 23189 | consumed samples: 3176960 | consumed tokens: 6506414080 | elapsed time per iteration (s): 0.74 | learning rate: 1.014E-04 | global batch size: 256 | lm loss: 2.689411E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.260 | TFLOPs: 21.01 | 31: iteration 12420/ 23189 | consumed samples: 3179520 | consumed tokens: 6511656960 | elapsed time per iteration (s): 0.71 | learning rate: 1.013E-04 | global batch size: 256 | lm loss: 2.688286E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.242 | TFLOPs: 21.91 | 31: iteration 12430/ 23189 | consumed samples: 3182080 | consumed tokens: 6516899840 | elapsed time per iteration (s): 0.72 | learning rate: 1.012E-04 | global batch size: 256 | lm loss: 2.680545E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.370 | TFLOPs: 21.62 | 31: iteration 12440/ 23189 | consumed samples: 3184640 | consumed tokens: 6522142720 | elapsed time per iteration (s): 0.73 | learning rate: 1.010E-04 | global batch size: 256 | lm loss: 2.666744E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.885 | TFLOPs: 21.23 | 31: iteration 12450/ 23189 | consumed samples: 3187200 | consumed tokens: 6527385600 | elapsed time per iteration (s): 0.71 | learning rate: 1.009E-04 | global batch size: 256 | lm loss: 2.683901E+00 | grad norm: 0.300 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.130 | TFLOPs: 21.85 | 31: iteration 12460/ 23189 | consumed samples: 3189760 | consumed tokens: 6532628480 | elapsed time per iteration (s): 0.69 | learning rate: 1.008E-04 | global batch size: 256 | lm loss: 2.695398E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.699 | TFLOPs: 22.37 | 31: iteration 12470/ 23189 | consumed samples: 3192320 | consumed tokens: 6537871360 | elapsed time per iteration (s): 0.70 | learning rate: 1.007E-04 | global batch size: 256 | lm loss: 2.684253E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.154 | TFLOPs: 22.15 | 31: iteration 12480/ 23189 | consumed samples: 3194880 | consumed tokens: 6543114240 | elapsed time per iteration (s): 0.69 | learning rate: 1.005E-04 | global batch size: 256 | lm loss: 2.691978E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.559 | TFLOPs: 22.48 | 31: iteration 12490/ 23189 | consumed samples: 3197440 | consumed tokens: 6548357120 | elapsed time per iteration (s): 0.70 | learning rate: 1.004E-04 | global batch size: 256 | lm loss: 2.688676E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.908 | TFLOPs: 22.26 | 31: iteration 12500/ 23189 | consumed samples: 3200000 | consumed tokens: 6553600000 | elapsed time per iteration (s): 0.70 | learning rate: 1.003E-04 | global batch size: 256 | lm loss: 2.677320E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.031 | TFLOPs: 22.20 | 31: iteration 12510/ 23189 | consumed samples: 3202560 | consumed tokens: 6558842880 | elapsed time per iteration (s): 0.70 | learning rate: 1.002E-04 | global batch size: 256 | lm loss: 2.688411E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.520 | TFLOPs: 22.23 | 31: iteration 12520/ 23189 | consumed samples: 3205120 | consumed tokens: 6564085760 | elapsed time per iteration (s): 0.70 | learning rate: 1.001E-04 | global batch size: 256 | lm loss: 2.677845E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.940 | TFLOPs: 22.26 | 31: iteration 12530/ 23189 | consumed samples: 3207680 | consumed tokens: 6569328640 | elapsed time per iteration (s): 0.68 | learning rate: 9.993E-05 | global batch size: 256 | lm loss: 2.692380E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.546 | TFLOPs: 22.66 | 31: iteration 12540/ 23189 | consumed samples: 3210240 | consumed tokens: 6574571520 | elapsed time per iteration (s): 0.69 | learning rate: 9.981E-05 | global batch size: 256 | lm loss: 2.678750E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.209 | TFLOPs: 22.52 | 31: iteration 12550/ 23189 | consumed samples: 3212800 | consumed tokens: 6579814400 | elapsed time per iteration (s): 0.69 | learning rate: 9.968E-05 | global batch size: 256 | lm loss: 2.687675E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.243 | TFLOPs: 22.52 | 31: iteration 12560/ 23189 | consumed samples: 3215360 | consumed tokens: 6585057280 | elapsed time per iteration (s): 0.74 | learning rate: 9.956E-05 | global batch size: 256 | lm loss: 2.672951E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.779 | TFLOPs: 20.92 | 31: iteration 12570/ 23189 | consumed samples: 3217920 | consumed tokens: 6590300160 | elapsed time per iteration (s): 0.70 | learning rate: 9.944E-05 | global batch size: 256 | lm loss: 2.685857E+00 | grad norm: 0.301 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.739 | TFLOPs: 22.07 | 31: iteration 12580/ 23189 | consumed samples: 3220480 | consumed tokens: 6595543040 | elapsed time per iteration (s): 0.76 | learning rate: 9.932E-05 | global batch size: 256 | lm loss: 2.676920E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.059 | TFLOPs: 20.27 | 31: iteration 12590/ 23189 | consumed samples: 3223040 | consumed tokens: 6600785920 | elapsed time per iteration (s): 0.76 | learning rate: 9.919E-05 | global batch size: 256 | lm loss: 2.691472E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.236 | TFLOPs: 20.28 | 31: iteration 12600/ 23189 | consumed samples: 3225600 | consumed tokens: 6606028800 | elapsed time per iteration (s): 0.76 | learning rate: 9.907E-05 | global batch size: 256 | lm loss: 2.692568E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.793 | TFLOPs: 20.44 | 31: 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samples per second: 369.567 | TFLOPs: 22.36 | 31: iteration 12640/ 23189 | consumed samples: 3235840 | consumed tokens: 6627000320 | elapsed time per iteration (s): 0.69 | learning rate: 9.858E-05 | global batch size: 256 | lm loss: 2.693403E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.033 | TFLOPs: 22.51 | 31: iteration 12650/ 23189 | consumed samples: 3238400 | consumed tokens: 6632243200 | elapsed time per iteration (s): 0.71 | learning rate: 9.846E-05 | global batch size: 256 | lm loss: 2.677639E+00 | grad norm: 0.306 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.519 | TFLOPs: 21.87 | 31: iteration 12660/ 23189 | consumed samples: 3240960 | consumed tokens: 6637486080 | elapsed time per iteration (s): 0.76 | learning rate: 9.834E-05 | global batch size: 256 | lm loss: 2.678563E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.740 | TFLOPs: 20.49 | 31: iteration 12670/ 23189 | consumed samples: 3243520 | consumed tokens: 6642728960 | elapsed time per iteration (s): 0.78 | learning rate: 9.822E-05 | global batch size: 256 | lm loss: 2.689200E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.949 | TFLOPs: 19.90 | 31: iteration 12680/ 23189 | consumed samples: 3246080 | consumed tokens: 6647971840 | elapsed time per iteration (s): 0.78 | learning rate: 9.809E-05 | global batch size: 256 | lm loss: 2.689816E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.191 | TFLOPs: 19.92 | 31: iteration 12690/ 23189 | consumed samples: 3248640 | consumed tokens: 6653214720 | elapsed time per iteration (s): 0.76 | learning rate: 9.797E-05 | global batch size: 256 | lm loss: 2.682549E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.568 | TFLOPs: 20.30 | 31: iteration 12700/ 23189 | consumed samples: 3251200 | consumed tokens: 6658457600 | elapsed time per iteration (s): 0.79 | learning rate: 9.785E-05 | global batch size: 256 | lm loss: 2.680981E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.861 | TFLOPs: 19.65 | 31: iteration 12710/ 23189 | consumed samples: 3253760 | consumed tokens: 6663700480 | elapsed time per iteration (s): 0.76 | learning rate: 9.773E-05 | global batch size: 256 | lm loss: 2.679693E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.804 | TFLOPs: 20.32 | 31: iteration 12720/ 23189 | consumed samples: 3256320 | consumed tokens: 6668943360 | elapsed time per iteration (s): 0.73 | learning rate: 9.761E-05 | global batch size: 256 | lm loss: 2.675705E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.810 | TFLOPs: 21.28 | 31: iteration 12730/ 23189 | consumed samples: 3258880 | consumed tokens: 6674186240 | elapsed time per iteration (s): 0.70 | learning rate: 9.748E-05 | global batch size: 256 | lm loss: 2.676910E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.687 | TFLOPs: 22.12 | 31: iteration 12740/ 23189 | consumed samples: 3261440 | consumed tokens: 6679429120 | elapsed time per iteration (s): 0.71 | learning rate: 9.736E-05 | global batch size: 256 | lm loss: 2.673801E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.571 | TFLOPs: 21.93 | 31: iteration 12750/ 23189 | consumed samples: 3264000 | consumed tokens: 6684672000 | elapsed time per iteration (s): 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consumed samples: 3279360 | consumed tokens: 6716129280 | elapsed time per iteration (s): 0.71 | learning rate: 9.651E-05 | global batch size: 256 | lm loss: 2.663053E+00 | grad norm: 0.311 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.932 | TFLOPs: 21.71 | 31: iteration 12820/ 23189 | consumed samples: 3281920 | consumed tokens: 6721372160 | elapsed time per iteration (s): 0.68 | learning rate: 9.639E-05 | global batch size: 256 | lm loss: 2.671035E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.316 | TFLOPs: 22.83 | 31: iteration 12830/ 23189 | consumed samples: 3284480 | consumed tokens: 6726615040 | elapsed time per iteration (s): 0.69 | learning rate: 9.627E-05 | global batch size: 256 | lm loss: 2.668142E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.091 | TFLOPs: 22.39 | 31: iteration 12840/ 23189 | consumed samples: 3287040 | consumed tokens: 6731857920 | elapsed time per iteration (s): 0.70 | learning rate: 9.614E-05 | global batch size: 256 | lm loss: 2.668935E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.979 | TFLOPs: 22.26 | 31: iteration 12850/ 23189 | consumed samples: 3289600 | consumed tokens: 6737100800 | elapsed time per iteration (s): 0.70 | learning rate: 9.602E-05 | global batch size: 256 | lm loss: 2.675088E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.268 | TFLOPs: 22.22 | 31: iteration 12860/ 23189 | consumed samples: 3292160 | consumed tokens: 6742343680 | elapsed time per iteration (s): 0.73 | learning rate: 9.590E-05 | global batch size: 256 | lm loss: 2.666289E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.913 | TFLOPs: 21.23 | 31: iteration 12870/ 23189 | consumed samples: 3294720 | consumed tokens: 6747586560 | elapsed time per iteration (s): 0.68 | learning rate: 9.578E-05 | global batch size: 256 | lm loss: 2.660740E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.000 | TFLOPs: 22.75 | 31: iteration 12880/ 23189 | consumed samples: 3297280 | consumed tokens: 6752829440 | elapsed time per iteration (s): 0.70 | learning rate: 9.566E-05 | global batch size: 256 | lm loss: 2.661784E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.270 | TFLOPs: 22.28 | 31: iteration 12890/ 23189 | consumed samples: 3299840 | consumed tokens: 6758072320 | elapsed time per iteration (s): 0.71 | learning rate: 9.554E-05 | global batch size: 256 | lm loss: 2.662586E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.977 | TFLOPs: 21.90 | 31: iteration 12900/ 23189 | consumed samples: 3302400 | consumed tokens: 6763315200 | elapsed time per iteration (s): 0.70 | learning rate: 9.541E-05 | global batch size: 256 | lm loss: 2.664275E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.786 | TFLOPs: 22.25 | 31: iteration 12910/ 23189 | consumed samples: 3304960 | consumed tokens: 6768558080 | elapsed time per iteration (s): 0.71 | learning rate: 9.529E-05 | global batch size: 256 | lm loss: 2.672926E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.925 | TFLOPs: 21.96 | 31: iteration 12920/ 23189 | consumed samples: 3307520 | consumed tokens: 6773800960 | elapsed time per iteration (s): 0.69 | learning rate: 9.517E-05 | global batch size: 256 | lm loss: 2.663222E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.884 | TFLOPs: 22.44 | 31: iteration 12930/ 23189 | consumed samples: 3310080 | consumed tokens: 6779043840 | elapsed time per iteration (s): 0.69 | learning rate: 9.505E-05 | global batch size: 256 | lm loss: 2.663225E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.248 | TFLOPs: 22.58 | 31: iteration 12940/ 23189 | consumed samples: 3312640 | consumed tokens: 6784286720 | elapsed time per iteration (s): 0.70 | learning rate: 9.493E-05 | global batch size: 256 | lm loss: 2.673090E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.086 | TFLOPs: 22.09 | 31: iteration 12950/ 23189 | consumed samples: 3315200 | consumed tokens: 6789529600 | elapsed time per iteration (s): 0.72 | learning rate: 9.481E-05 | global batch size: 256 | lm loss: 2.656825E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.534 | TFLOPs: 21.45 | 31: iteration 12960/ 23189 | consumed samples: 3317760 | consumed tokens: 6794772480 | elapsed time per iteration (s): 0.69 | learning rate: 9.469E-05 | global batch size: 256 | lm loss: 2.668763E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.455 | TFLOPs: 22.29 | 31: iteration 12970/ 23189 | consumed samples: 3320320 | consumed tokens: 6800015360 | elapsed time per iteration (s): 0.70 | learning rate: 9.456E-05 | global batch size: 256 | lm loss: 2.661169E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.246 | TFLOPs: 21.98 | 31: iteration 12980/ 23189 | consumed samples: 3322880 | consumed tokens: 6805258240 | elapsed time per iteration (s): 0.68 | learning rate: 9.444E-05 | global batch size: 256 | lm loss: 2.679632E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.602 | TFLOPs: 22.72 | 31: iteration 12990/ 23189 | consumed samples: 3325440 | consumed tokens: 6810501120 | elapsed time per iteration (s): 0.74 | learning rate: 9.432E-05 | global batch size: 256 | lm loss: 2.647368E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.883 | TFLOPs: 21.05 | 31: iteration 13000/ 23189 | consumed samples: 3328000 | consumed tokens: 6815744000 | elapsed time per iteration (s): 0.74 | learning rate: 9.420E-05 | global batch size: 256 | lm loss: 2.672739E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.059 | TFLOPs: 20.88 | 31: iteration 13010/ 23189 | consumed samples: 3330560 | consumed tokens: 6820986880 | elapsed time per iteration (s): 0.71 | learning rate: 9.408E-05 | global batch size: 256 | lm loss: 2.671725E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.470 | TFLOPs: 21.93 | 31: iteration 13020/ 23189 | consumed samples: 3333120 | consumed tokens: 6826229760 | elapsed time per iteration (s): 0.71 | learning rate: 9.396E-05 | global batch size: 256 | lm loss: 2.659778E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.399 | TFLOPs: 21.86 | 31: iteration 13030/ 23189 | consumed samples: 3335680 | consumed tokens: 6831472640 | elapsed time per iteration (s): 0.73 | learning rate: 9.384E-05 | global batch size: 256 | lm loss: 2.658710E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.113 | TFLOPs: 21.18 | 31: iteration 13040/ 23189 | consumed samples: 3338240 | consumed tokens: 6836715520 | elapsed time per iteration (s): 0.71 | learning rate: 9.372E-05 | global batch size: 256 | lm loss: 2.657725E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.405 | TFLOPs: 21.80 | 31: iteration 13050/ 23189 | consumed samples: 3340800 | consumed tokens: 6841958400 | elapsed time per iteration (s): 0.70 | learning rate: 9.359E-05 | global batch size: 256 | lm loss: 2.665097E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.360 | TFLOPs: 22.22 | 31: iteration 13060/ 23189 | consumed samples: 3343360 | consumed tokens: 6847201280 | elapsed time per iteration (s): 0.71 | learning rate: 9.347E-05 | global batch size: 256 | lm loss: 2.651530E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.695 | TFLOPs: 21.82 | 31: iteration 13070/ 23189 | consumed samples: 3345920 | consumed tokens: 6852444160 | elapsed time per iteration (s): 0.68 | learning rate: 9.335E-05 | global batch size: 256 | lm loss: 2.670602E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.906 | TFLOPs: 22.62 | 31: iteration 13080/ 23189 | consumed samples: 3348480 | consumed tokens: 6857687040 | elapsed time per iteration (s): 0.68 | learning rate: 9.323E-05 | global batch size: 256 | lm loss: 2.674643E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.057 | TFLOPs: 22.75 | 31: iteration 13090/ 23189 | consumed samples: 3351040 | consumed tokens: 6862929920 | elapsed time per iteration (s): 0.71 | learning rate: 9.311E-05 | global batch size: 256 | lm loss: 2.671124E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.301 | TFLOPs: 21.74 | 31: iteration 13100/ 23189 | consumed samples: 3353600 | consumed tokens: 6868172800 | elapsed time per iteration (s): 0.69 | learning rate: 9.299E-05 | global batch size: 256 | lm loss: 2.660901E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.977 | TFLOPs: 22.56 | 31: iteration 13110/ 23189 | consumed samples: 3356160 | consumed tokens: 6873415680 | elapsed time per iteration (s): 0.72 | learning rate: 9.287E-05 | global batch size: 256 | lm loss: 2.649722E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.439 | TFLOPs: 21.44 | 31: iteration 13120/ 23189 | consumed samples: 3358720 | consumed tokens: 6878658560 | elapsed time per iteration (s): 0.69 | learning rate: 9.275E-05 | global batch size: 256 | lm loss: 2.639682E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.295 | TFLOPs: 22.58 | 31: iteration 13130/ 23189 | consumed samples: 3361280 | consumed tokens: 6883901440 | elapsed time per iteration (s): 0.72 | learning rate: 9.263E-05 | global batch size: 256 | lm loss: 2.655590E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.428 | TFLOPs: 21.62 | 31: iteration 13140/ 23189 | consumed samples: 3363840 | consumed tokens: 6889144320 | elapsed time per iteration (s): 0.70 | learning rate: 9.251E-05 | global batch size: 256 | lm loss: 2.670288E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.274 | TFLOPs: 22.10 | 31: iteration 13150/ 23189 | consumed samples: 3366400 | consumed tokens: 6894387200 | elapsed time per iteration (s): 0.69 | learning rate: 9.239E-05 | global batch size: 256 | lm loss: 2.654359E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.509 | TFLOPs: 22.60 | 31: iteration 13160/ 23189 | consumed samples: 3368960 | consumed tokens: 6899630080 | elapsed time per iteration (s): 0.70 | learning rate: 9.226E-05 | global batch size: 256 | lm loss: 2.653891E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.941 | TFLOPs: 22.20 | 31: iteration 13170/ 23189 | consumed samples: 3371520 | consumed tokens: 6904872960 | elapsed time per iteration (s): 0.69 | learning rate: 9.214E-05 | global batch size: 256 | lm loss: 2.648093E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.937 | TFLOPs: 22.38 | 31: iteration 13180/ 23189 | consumed samples: 3374080 | consumed tokens: 6910115840 | elapsed time per iteration (s): 0.71 | learning rate: 9.202E-05 | global batch size: 256 | lm loss: 2.636384E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.183 | TFLOPs: 21.91 | 31: iteration 13190/ 23189 | consumed samples: 3376640 | consumed tokens: 6915358720 | elapsed time per iteration (s): 0.70 | learning rate: 9.190E-05 | global batch size: 256 | lm loss: 2.650598E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.602 | TFLOPs: 22.00 | 31: iteration 13200/ 23189 | consumed samples: 3379200 | consumed tokens: 6920601600 | elapsed time per iteration (s): 0.71 | learning rate: 9.178E-05 | global batch size: 256 | lm loss: 2.626481E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.374 | TFLOPs: 21.74 | 31: iteration 13210/ 23189 | consumed samples: 3381760 | consumed tokens: 6925844480 | elapsed time per iteration (s): 0.73 | learning rate: 9.166E-05 | global batch size: 256 | lm loss: 2.667962E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.359 | TFLOPs: 21.20 | 31: iteration 13220/ 23189 | consumed samples: 3384320 | consumed tokens: 6931087360 | elapsed time per iteration (s): 0.70 | learning rate: 9.154E-05 | global batch size: 256 | lm loss: 2.657929E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.828 | TFLOPs: 22.01 | 31: iteration 13230/ 23189 | consumed samples: 3386880 | consumed tokens: 6936330240 | elapsed time per iteration (s): 0.71 | learning rate: 9.142E-05 | global batch size: 256 | lm loss: 2.639187E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.299 | TFLOPs: 21.92 | 31: iteration 13240/ 23189 | consumed samples: 3389440 | consumed tokens: 6941573120 | elapsed time per iteration (s): 0.69 | learning rate: 9.130E-05 | global batch size: 256 | lm loss: 2.656874E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.561 | TFLOPs: 22.42 | 31: iteration 13250/ 23189 | consumed samples: 3392000 | consumed tokens: 6946816000 | elapsed time per iteration (s): 0.71 | learning rate: 9.118E-05 | global batch size: 256 | lm loss: 2.666846E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.718 | TFLOPs: 21.82 | 31: iteration 13260/ 23189 | consumed samples: 3394560 | consumed tokens: 6952058880 | elapsed time per iteration (s): 0.70 | learning rate: 9.106E-05 | global batch size: 256 | lm loss: 2.664556E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.771 | TFLOPs: 22.19 | 31: iteration 13270/ 23189 | consumed samples: 3397120 | consumed tokens: 6957301760 | elapsed time per iteration (s): 0.69 | learning rate: 9.094E-05 | global batch size: 256 | lm loss: 2.653360E+00 | grad norm: 0.304 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.242 | TFLOPs: 22.34 | 31: iteration 13280/ 23189 | consumed samples: 3399680 | consumed tokens: 6962544640 | elapsed time per iteration (s): 0.68 | learning rate: 9.082E-05 | global batch size: 256 | lm loss: 2.643771E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.953 | TFLOPs: 22.74 | 31: iteration 13290/ 23189 | consumed samples: 3402240 | consumed tokens: 6967787520 | elapsed time per iteration (s): 0.68 | learning rate: 9.070E-05 | global batch size: 256 | lm loss: 2.646767E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.808 | TFLOPs: 22.61 | 31: iteration 13300/ 23189 | consumed samples: 3404800 | consumed tokens: 6973030400 | elapsed time per iteration (s): 0.70 | learning rate: 9.058E-05 | global batch size: 256 | lm loss: 2.651460E+00 | grad norm: 0.305 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.328 | TFLOPs: 22.04 | 31: iteration 13310/ 23189 | consumed samples: 3407360 | consumed tokens: 6978273280 | elapsed time per iteration (s): 0.70 | learning rate: 9.046E-05 | global batch size: 256 | lm loss: 2.643612E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.130 | TFLOPs: 22.27 | 31: iteration 13320/ 23189 | consumed samples: 3409920 | consumed tokens: 6983516160 | elapsed time per iteration (s): 0.69 | learning rate: 9.034E-05 | global batch size: 256 | lm loss: 2.654255E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.893 | TFLOPs: 22.38 | 31: iteration 13330/ 23189 | consumed samples: 3412480 | consumed tokens: 6988759040 | elapsed time per iteration (s): 0.69 | learning rate: 9.022E-05 | global batch size: 256 | lm loss: 2.651216E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.798 | TFLOPs: 22.31 | 31: iteration 13340/ 23189 | consumed samples: 3415040 | consumed tokens: 6994001920 | elapsed time per iteration (s): 0.70 | learning rate: 9.010E-05 | global batch size: 256 | lm loss: 2.653889E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.940 | TFLOPs: 22.14 | 31: iteration 13350/ 23189 | consumed samples: 3417600 | consumed tokens: 6999244800 | elapsed time per iteration (s): 0.72 | learning rate: 8.998E-05 | global batch size: 256 | lm loss: 2.649164E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.924 | TFLOPs: 21.59 | 31: iteration 13360/ 23189 | consumed samples: 3420160 | consumed tokens: 7004487680 | elapsed time per iteration (s): 0.68 | learning rate: 8.986E-05 | global batch size: 256 | lm loss: 2.655566E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.229 | TFLOPs: 22.64 | 31: iteration 13370/ 23189 | consumed samples: 3422720 | consumed tokens: 7009730560 | elapsed time per iteration (s): 0.71 | learning rate: 8.974E-05 | global batch size: 256 | lm loss: 2.638935E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.721 | TFLOPs: 21.82 | 31: iteration 13380/ 23189 | consumed samples: 3425280 | consumed tokens: 7014973440 | elapsed time per iteration (s): 0.73 | learning rate: 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iteration 13470/ 23189 | consumed samples: 3448320 | consumed tokens: 7062159360 | elapsed time per iteration (s): 0.72 | learning rate: 8.854E-05 | global batch size: 256 | lm loss: 2.649867E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.020 | TFLOPs: 21.66 | 31: iteration 13480/ 23189 | consumed samples: 3450880 | consumed tokens: 7067402240 | elapsed time per iteration (s): 0.70 | learning rate: 8.842E-05 | global batch size: 256 | lm loss: 2.632797E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.200 | TFLOPs: 22.03 | 31: iteration 13490/ 23189 | consumed samples: 3453440 | consumed tokens: 7072645120 | elapsed time per iteration (s): 0.73 | learning rate: 8.830E-05 | global batch size: 256 | lm loss: 2.643680E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.515 | TFLOPs: 21.27 | 31: iteration 13500/ 23189 | consumed samples: 3456000 | consumed tokens: 7077888000 | elapsed time per iteration (s): 0.70 | learning rate: 8.818E-05 | global batch size: 256 | lm loss: 2.646228E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.784 | TFLOPs: 22.07 | 31: iteration 13510/ 23189 | consumed samples: 3458560 | consumed tokens: 7083130880 | elapsed time per iteration (s): 0.73 | learning rate: 8.806E-05 | global batch size: 256 | lm loss: 2.646859E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.685 | TFLOPs: 21.16 | 31: iteration 13520/ 23189 | consumed samples: 3461120 | consumed tokens: 7088373760 | elapsed time per iteration (s): 0.72 | learning rate: 8.794E-05 | global batch size: 256 | lm loss: 2.632412E+00 | grad norm: 0.307 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.877 | TFLOPs: 21.65 | 31: iteration 13530/ 23189 | consumed samples: 3463680 | consumed tokens: 7093616640 | elapsed time per iteration (s): 0.72 | learning rate: 8.782E-05 | global batch size: 256 | lm loss: 2.640376E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.264 | TFLOPs: 21.55 | 31: iteration 13540/ 23189 | consumed samples: 3466240 | consumed tokens: 7098859520 | elapsed time per iteration (s): 0.74 | learning rate: 8.770E-05 | global batch size: 256 | lm loss: 2.649860E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.595 | TFLOPs: 20.91 | 31: iteration 13550/ 23189 | consumed samples: 3468800 | consumed tokens: 7104102400 | elapsed time per iteration (s): 0.71 | learning rate: 8.758E-05 | global batch size: 256 | lm loss: 2.645540E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.390 | TFLOPs: 21.80 | 31: iteration 13560/ 23189 | consumed samples: 3471360 | consumed tokens: 7109345280 | elapsed time per iteration (s): 0.71 | learning rate: 8.746E-05 | global batch size: 256 | lm loss: 2.631246E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.652 | TFLOPs: 21.88 | 31: iteration 13570/ 23189 | consumed samples: 3473920 | consumed tokens: 7114588160 | elapsed time per iteration (s): 0.70 | learning rate: 8.734E-05 | global batch size: 256 | lm loss: 2.622078E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.858 | TFLOPs: 22.07 | 31: iteration 13580/ 23189 | consumed samples: 3476480 | consumed tokens: 7119831040 | elapsed time per iteration (s): 0.72 | learning rate: 8.723E-05 | global batch size: 256 | lm loss: 2.631973E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.906 | TFLOPs: 21.59 | 31: iteration 13590/ 23189 | consumed samples: 3479040 | consumed tokens: 7125073920 | elapsed time per iteration (s): 0.71 | learning rate: 8.711E-05 | global batch size: 256 | lm loss: 2.632147E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.228 | TFLOPs: 21.67 | 31: iteration 13600/ 23189 | consumed samples: 3481600 | consumed tokens: 7130316800 | elapsed time per iteration (s): 0.72 | learning rate: 8.699E-05 | global batch size: 256 | lm loss: 2.628142E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.203 | TFLOPs: 21.43 | 31: iteration 13610/ 23189 | consumed samples: 3484160 | consumed tokens: 7135559680 | elapsed time per iteration (s): 0.71 | learning rate: 8.687E-05 | global batch size: 256 | lm loss: 2.632007E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.027 | TFLOPs: 21.84 | 31: iteration 13620/ 23189 | consumed samples: 3486720 | consumed tokens: 7140802560 | elapsed time per iteration (s): 0.74 | learning rate: 8.675E-05 | global batch size: 256 | lm loss: 2.622509E+00 | grad norm: 0.310 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.340 | TFLOPs: 20.89 | 31: iteration 13630/ 23189 | consumed samples: 3489280 | consumed tokens: 7146045440 | elapsed time per iteration (s): 0.70 | learning rate: 8.663E-05 | global batch size: 256 | lm loss: 2.634941E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.641 | TFLOPs: 22.00 | 31: iteration 13640/ 23189 | consumed samples: 3491840 | consumed tokens: 7151288320 | elapsed time per iteration (s): 0.71 | learning rate: 8.651E-05 | global batch size: 256 | lm loss: 2.637289E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.620 | TFLOPs: 21.94 | 31: iteration 13650/ 23189 | consumed samples: 3494400 | consumed tokens: 7156531200 | elapsed time per iteration (s): 0.74 | learning rate: 8.639E-05 | global batch size: 256 | lm loss: 2.623377E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.510 | TFLOPs: 20.96 | 31: iteration 13660/ 23189 | consumed samples: 3496960 | consumed tokens: 7161774080 | elapsed time per iteration (s): 0.72 | learning rate: 8.627E-05 | global batch size: 256 | lm loss: 2.632281E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.023 | TFLOPs: 21.42 | 31: iteration 13670/ 23189 | consumed samples: 3499520 | consumed tokens: 7167016960 | elapsed time per iteration (s): 0.76 | learning rate: 8.615E-05 | global batch size: 256 | lm loss: 2.628249E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.318 | TFLOPs: 20.35 | 31: iteration 13680/ 23189 | consumed samples: 3502080 | consumed tokens: 7172259840 | elapsed time per iteration (s): 0.72 | learning rate: 8.604E-05 | global batch size: 256 | lm loss: 2.618637E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.656 | TFLOPs: 21.52 | 31: iteration 13690/ 23189 | consumed samples: 3504640 | consumed tokens: 7177502720 | elapsed time per iteration (s): 0.71 | learning rate: 8.592E-05 | global batch size: 256 | lm loss: 2.634661E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.983 | TFLOPs: 21.90 | 31: iteration 13700/ 23189 | consumed samples: 3507200 | consumed tokens: 7182745600 | elapsed time per iteration (s): 0.71 | learning rate: 8.580E-05 | global batch size: 256 | lm loss: 2.629598E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.664 | TFLOPs: 21.76 | 31: iteration 13710/ 23189 | consumed samples: 3509760 | consumed tokens: 7187988480 | elapsed time per iteration (s): 0.70 | learning rate: 8.568E-05 | global batch size: 256 | lm loss: 2.619465E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.287 | TFLOPs: 21.98 | 31: iteration 13720/ 23189 | consumed samples: 3512320 | consumed tokens: 7193231360 | elapsed time per iteration (s): 0.74 | learning rate: 8.556E-05 | global batch size: 256 | lm loss: 2.633641E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.462 | TFLOPs: 21.02 | 31: iteration 13730/ 23189 | consumed samples: 3514880 | consumed tokens: 7198474240 | elapsed time per iteration (s): 0.71 | learning rate: 8.544E-05 | global batch size: 256 | lm loss: 2.632750E+00 | grad norm: 0.309 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.154 | TFLOPs: 21.91 | 31: iteration 13740/ 23189 | consumed samples: 3517440 | consumed tokens: 7203717120 | elapsed time per iteration (s): 0.69 | learning rate: 8.532E-05 | global batch size: 256 | lm loss: 2.624363E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.602 | TFLOPs: 22.36 | 31: iteration 13750/ 23189 | consumed samples: 3520000 | consumed tokens: 7208960000 | elapsed time per iteration (s): 0.69 | learning rate: 8.521E-05 | global batch size: 256 | lm loss: 2.640625E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.927 | TFLOPs: 22.56 | 31: iteration 13760/ 23189 | consumed samples: 3522560 | consumed tokens: 7214202880 | elapsed time per iteration (s): 0.71 | learning rate: 8.509E-05 | global batch size: 256 | lm loss: 2.650902E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.877 | TFLOPs: 21.77 | 31: iteration 13770/ 23189 | consumed samples: 3525120 | consumed tokens: 7219445760 | elapsed time per iteration (s): 0.69 | learning rate: 8.497E-05 | global batch size: 256 | lm loss: 2.625105E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.499 | TFLOPs: 22.35 | 31: iteration 13780/ 23189 | consumed samples: 3527680 | consumed tokens: 7224688640 | elapsed time per iteration (s): 0.67 | learning rate: 8.485E-05 | global batch size: 256 | lm loss: 2.631582E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.348 | TFLOPs: 22.95 | 31: iteration 13790/ 23189 | consumed samples: 3530240 | consumed tokens: 7229931520 | elapsed time per iteration (s): 0.69 | learning rate: 8.473E-05 | global batch size: 256 | lm loss: 2.630632E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.447 | TFLOPs: 22.47 | 31: iteration 13800/ 23189 | consumed samples: 3532800 | consumed tokens: 7235174400 | elapsed time per iteration (s): 0.68 | learning rate: 8.461E-05 | global batch size: 256 | lm loss: 2.629220E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.746 | TFLOPs: 22.73 | 31: iteration 13810/ 23189 | consumed samples: 3535360 | consumed tokens: 7240417280 | elapsed time per iteration (s): 0.68 | learning rate: 8.450E-05 | global batch size: 256 | lm loss: 2.622301E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.228 | TFLOPs: 22.64 | 31: iteration 13820/ 23189 | consumed samples: 3537920 | consumed tokens: 7245660160 | elapsed time per iteration (s): 0.69 | learning rate: 8.438E-05 | global batch size: 256 | lm loss: 2.632778E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.115 | TFLOPs: 22.45 | 31: iteration 13830/ 23189 | consumed samples: 3540480 | consumed tokens: 7250903040 | elapsed time per iteration (s): 0.71 | learning rate: 8.426E-05 | global batch size: 256 | lm loss: 2.628955E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.031 | TFLOPs: 21.96 | 31: iteration 13840/ 23189 | consumed samples: 3543040 | consumed tokens: 7256145920 | elapsed time per iteration (s): 0.68 | learning rate: 8.414E-05 | global batch size: 256 | lm loss: 2.629751E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.230 | TFLOPs: 22.76 | 31: iteration 13850/ 23189 | consumed samples: 3545600 | consumed tokens: 7261388800 | elapsed time per iteration (s): 0.69 | learning rate: 8.402E-05 | global batch size: 256 | lm loss: 2.639527E+00 | grad norm: 0.315 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.128 | TFLOPs: 22.57 | 31: iteration 13860/ 23189 | consumed samples: 3548160 | consumed tokens: 7266631680 | elapsed time per iteration (s): 0.74 | learning rate: 8.391E-05 | global batch size: 256 | lm loss: 2.624043E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.046 | TFLOPs: 20.87 | 31: iteration 13870/ 23189 | consumed samples: 3550720 | consumed tokens: 7271874560 | elapsed time per iteration (s): 0.69 | learning rate: 8.379E-05 | global batch size: 256 | lm loss: 2.610510E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.377 | TFLOPs: 22.59 | 31: iteration 13880/ 23189 | consumed samples: 3553280 | consumed tokens: 7277117440 | elapsed time per iteration (s): 0.68 | learning rate: 8.367E-05 | global batch size: 256 | lm loss: 2.621645E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.900 | TFLOPs: 22.80 | 31: iteration 13890/ 23189 | consumed samples: 3555840 | consumed tokens: 7282360320 | elapsed time per iteration (s): 0.69 | learning rate: 8.355E-05 | global batch size: 256 | lm loss: 2.626774E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.998 | TFLOPs: 22.50 | 31: iteration 13900/ 23189 | consumed samples: 3558400 | consumed tokens: 7287603200 | elapsed time per iteration (s): 0.68 | learning rate: 8.344E-05 | global batch size: 256 | lm loss: 2.629953E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.062 | TFLOPs: 22.81 | 31: iteration 13910/ 23189 | consumed samples: 3560960 | consumed tokens: 7292846080 | elapsed time per iteration (s): 0.69 | learning rate: 8.332E-05 | global batch size: 256 | lm loss: 2.620385E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.168 | TFLOPs: 22.58 | 31: iteration 13920/ 23189 | consumed samples: 3563520 | consumed tokens: 7298088960 | elapsed time per iteration (s): 0.70 | learning rate: 8.320E-05 | global batch size: 256 | lm loss: 2.611905E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.013 | TFLOPs: 22.20 | 31: iteration 13930/ 23189 | consumed samples: 3566080 | consumed tokens: 7303331840 | elapsed time per iteration (s): 0.69 | learning rate: 8.308E-05 | global batch size: 256 | lm loss: 2.631558E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.163 | TFLOPs: 22.39 | 31: iteration 13940/ 23189 | consumed samples: 3568640 | consumed tokens: 7308574720 | elapsed time per iteration (s): 0.69 | learning rate: 8.297E-05 | global batch size: 256 | lm loss: 2.633085E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.647 | TFLOPs: 22.42 | 31: iteration 13950/ 23189 | consumed samples: 3571200 | consumed tokens: 7313817600 | elapsed time per iteration (s): 0.70 | learning rate: 8.285E-05 | global batch size: 256 | lm loss: 2.606792E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.459 | TFLOPs: 22.23 | 31: iteration 13960/ 23189 | consumed samples: 3573760 | consumed tokens: 7319060480 | elapsed time per iteration (s): 0.69 | learning rate: 8.273E-05 | global batch size: 256 | lm loss: 2.612560E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.369 | TFLOPs: 22.29 | 31: iteration 13970/ 23189 | consumed samples: 3576320 | consumed tokens: 7324303360 | elapsed time per iteration (s): 0.69 | learning rate: 8.261E-05 | global batch size: 256 | lm loss: 2.628554E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.460 | TFLOPs: 22.53 | 31: iteration 13980/ 23189 | consumed samples: 3578880 | consumed tokens: 7329546240 | elapsed time per iteration (s): 0.71 | learning rate: 8.250E-05 | global batch size: 256 | lm loss: 2.625286E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.949 | TFLOPs: 21.84 | 31: iteration 13990/ 23189 | consumed samples: 3581440 | consumed tokens: 7334789120 | elapsed time per iteration (s): 0.73 | learning rate: 8.238E-05 | global batch size: 256 | lm loss: 2.618015E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.579 | TFLOPs: 21.15 | 0: [2023-03-16 00:42:48,040] [INFO] [logging.py:68:log_dist] [Rank 0] step=14000, skipped=0, lr=[8.226146908797855e-05, 8.226146908797855e-05, 8.226146908797855e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 14000/ 23189 | consumed samples: 3584000 | consumed tokens: 7340032000 | elapsed time per iteration (s): 0.70 | learning rate: 8.226E-05 | global batch size: 256 | lm loss: 2.618045E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.509 | TFLOPs: 22.11 | 0: steps: 14000 loss: 2.6305 iter time (s): 0.702 samples/sec: 364.445 31: iteration 14010/ 23189 | consumed samples: 3586560 | consumed tokens: 7345274880 | elapsed time per iteration (s): 0.71 | learning rate: 8.214E-05 | global batch size: 256 | lm loss: 2.617896E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.982 | TFLOPs: 21.90 | 31: iteration 14020/ 23189 | consumed samples: 3589120 | consumed tokens: 7350517760 | elapsed time per iteration (s): 0.70 | learning rate: 8.203E-05 | global batch size: 256 | lm loss: 2.620237E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.868 | TFLOPs: 22.07 | 31: iteration 14030/ 23189 | consumed samples: 3591680 | consumed tokens: 7355760640 | elapsed time per iteration (s): 0.68 | learning rate: 8.191E-05 | global batch size: 256 | lm loss: 2.606758E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.955 | TFLOPs: 22.62 | 31: iteration 14040/ 23189 | consumed samples: 3594240 | consumed tokens: 7361003520 | elapsed time per iteration (s): 0.72 | learning rate: 8.179E-05 | global batch size: 256 | lm loss: 2.628549E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.017 | TFLOPs: 21.42 | 31: iteration 14050/ 23189 | consumed samples: 3596800 | consumed tokens: 7366246400 | elapsed time per iteration (s): 0.71 | learning rate: 8.168E-05 | global batch size: 256 | lm loss: 2.611894E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.771 | TFLOPs: 21.95 | 31: iteration 14060/ 23189 | consumed samples: 3599360 | consumed tokens: 7371489280 | elapsed time per iteration (s): 0.72 | learning rate: 8.156E-05 | global batch size: 256 | lm loss: 2.627133E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.045 | TFLOPs: 21.54 | 31: iteration 14070/ 23189 | consumed samples: 3601920 | consumed tokens: 7376732160 | elapsed time per iteration (s): 0.69 | learning rate: 8.144E-05 | global batch size: 256 | lm loss: 2.624377E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.539 | TFLOPs: 22.60 | 31: iteration 14080/ 23189 | consumed samples: 3604480 | consumed tokens: 7381975040 | elapsed time per iteration (s): 0.70 | learning rate: 8.133E-05 | global batch size: 256 | lm loss: 2.615695E+00 | grad norm: 0.316 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.370 | TFLOPs: 22.16 | 31: iteration 14090/ 23189 | consumed samples: 3607040 | consumed tokens: 7387217920 | elapsed time per iteration (s): 0.69 | learning rate: 8.121E-05 | global batch size: 256 | lm loss: 2.620070E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.360 | TFLOPs: 22.28 | 31: iteration 14100/ 23189 | consumed samples: 3609600 | consumed tokens: 7392460800 | elapsed time per iteration (s): 0.70 | learning rate: 8.109E-05 | global batch size: 256 | lm loss: 2.611343E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.692 | TFLOPs: 22.00 | 31: iteration 14110/ 23189 | consumed samples: 3612160 | consumed tokens: 7397703680 | elapsed time per iteration (s): 0.68 | learning rate: 8.098E-05 | global batch size: 256 | lm loss: 2.615535E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.223 | TFLOPs: 22.94 | 31: iteration 14120/ 23189 | consumed samples: 3614720 | consumed tokens: 7402946560 | elapsed time per iteration (s): 0.70 | learning rate: 8.086E-05 | global batch size: 256 | lm loss: 2.609311E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.193 | TFLOPs: 22.03 | 31: iteration 14130/ 23189 | consumed samples: 3617280 | consumed tokens: 7408189440 | elapsed time per iteration (s): 0.71 | learning rate: 8.074E-05 | global batch size: 256 | lm loss: 2.608465E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.320 | TFLOPs: 21.92 | 31: iteration 14140/ 23189 | consumed samples: 3619840 | consumed tokens: 7413432320 | elapsed time per iteration (s): 0.69 | learning rate: 8.063E-05 | global batch size: 256 | lm loss: 2.610393E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.382 | TFLOPs: 22.59 | 31: iteration 14150/ 23189 | consumed samples: 3622400 | consumed tokens: 7418675200 | elapsed time per iteration (s): 0.70 | learning rate: 8.051E-05 | global batch size: 256 | lm loss: 2.613958E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.737 | TFLOPs: 22.07 | 31: iteration 14160/ 23189 | consumed samples: 3624960 | consumed tokens: 7423918080 | elapsed time per iteration (s): 0.69 | learning rate: 8.039E-05 | global batch size: 256 | lm loss: 2.611557E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.123 | TFLOPs: 22.51 | 31: iteration 14170/ 23189 | consumed samples: 3627520 | consumed tokens: 7429160960 | elapsed time per iteration (s): 0.71 | learning rate: 8.028E-05 | global batch size: 256 | lm loss: 2.606583E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.051 | TFLOPs: 21.84 | 31: iteration 14180/ 23189 | consumed samples: 3630080 | consumed tokens: 7434403840 | elapsed time per iteration (s): 0.70 | learning rate: 8.016E-05 | global batch size: 256 | lm loss: 2.611348E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.156 | TFLOPs: 22.15 | 31: iteration 14190/ 23189 | consumed samples: 3632640 | consumed tokens: 7439646720 | elapsed time per iteration (s): 0.69 | learning rate: 8.004E-05 | global batch size: 256 | lm loss: 2.600268E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.281 | TFLOPs: 22.52 | 31: iteration 14200/ 23189 | consumed samples: 3635200 | consumed tokens: 7444889600 | elapsed time per iteration (s): 0.71 | learning rate: 7.993E-05 | global batch size: 256 | lm loss: 2.615849E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.049 | TFLOPs: 21.96 | 31: iteration 14210/ 23189 | consumed samples: 3637760 | consumed tokens: 7450132480 | elapsed time per iteration (s): 0.70 | learning rate: 7.981E-05 | global batch size: 256 | lm loss: 2.606457E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.438 | TFLOPs: 22.23 | 31: iteration 14220/ 23189 | consumed samples: 3640320 | consumed tokens: 7455375360 | elapsed time per iteration (s): 0.69 | learning rate: 7.970E-05 | global batch size: 256 | lm loss: 2.606492E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.507 | TFLOPs: 22.41 | 31: iteration 14230/ 23189 | consumed samples: 3642880 | consumed tokens: 7460618240 | elapsed time per iteration (s): 0.69 | learning rate: 7.958E-05 | global batch size: 256 | lm loss: 2.612594E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.436 | TFLOPs: 22.35 | 31: iteration 14240/ 23189 | consumed samples: 3645440 | consumed tokens: 7465861120 | elapsed time per iteration (s): 0.70 | learning rate: 7.946E-05 | global batch size: 256 | lm loss: 2.603665E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.626 | TFLOPs: 22.24 | 31: iteration 14250/ 23189 | consumed samples: 3648000 | consumed tokens: 7471104000 | elapsed time per iteration (s): 0.69 | learning rate: 7.935E-05 | global batch size: 256 | lm loss: 2.608754E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.841 | TFLOPs: 22.50 | 31: iteration 14260/ 23189 | consumed samples: 3650560 | consumed tokens: 7476346880 | elapsed time per iteration (s): 0.69 | learning rate: 7.923E-05 | global batch size: 256 | lm loss: 2.605740E+00 | grad norm: 0.312 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.658 | TFLOPs: 22.36 | 31: iteration 14270/ 23189 | consumed samples: 3653120 | consumed tokens: 7481589760 | elapsed time per iteration (s): 0.69 | learning rate: 7.912E-05 | global batch size: 256 | lm loss: 2.599917E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.756 | TFLOPs: 22.43 | 31: iteration 14280/ 23189 | consumed samples: 3655680 | consumed tokens: 7486832640 | elapsed time per iteration (s): 0.72 | learning rate: 7.900E-05 | global batch size: 256 | lm loss: 2.610756E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.971 | TFLOPs: 21.54 | 31: iteration 14290/ 23189 | consumed samples: 3658240 | consumed tokens: 7492075520 | elapsed time per iteration (s): 0.68 | learning rate: 7.889E-05 | global batch size: 256 | lm loss: 2.624345E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.881 | TFLOPs: 22.80 | 31: iteration 14300/ 23189 | consumed samples: 3660800 | consumed tokens: 7497318400 | elapsed time per iteration (s): 0.69 | learning rate: 7.877E-05 | global batch size: 256 | lm loss: 2.592768E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.130 | TFLOPs: 22.45 | 31: iteration 14310/ 23189 | consumed samples: 3663360 | consumed tokens: 7502561280 | elapsed time per iteration (s): 0.69 | learning rate: 7.866E-05 | global batch size: 256 | lm loss: 2.607882E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.134 | TFLOPs: 22.51 | 31: iteration 14320/ 23189 | consumed samples: 3665920 | consumed tokens: 7507804160 | elapsed time per iteration (s): 0.68 | learning rate: 7.854E-05 | global batch size: 256 | lm loss: 2.599333E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.672 | TFLOPs: 22.73 | 31: iteration 14330/ 23189 | consumed samples: 3668480 | consumed tokens: 7513047040 | elapsed time per iteration (s): 0.70 | learning rate: 7.842E-05 | global batch size: 256 | lm loss: 2.594801E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.866 | TFLOPs: 22.25 | 31: iteration 14340/ 23189 | consumed samples: 3671040 | consumed tokens: 7518289920 | elapsed time per iteration (s): 0.70 | learning rate: 7.831E-05 | global batch size: 256 | lm loss: 2.607465E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.075 | TFLOPs: 22.09 | 31: iteration 14350/ 23189 | consumed samples: 3673600 | consumed tokens: 7523532800 | elapsed time per iteration (s): 0.68 | learning rate: 7.819E-05 | global batch size: 256 | lm loss: 2.602036E+00 | grad norm: 0.318 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.763 | TFLOPs: 22.61 | 31: iteration 14360/ 23189 | consumed samples: 3676160 | consumed tokens: 7528775680 | elapsed time per iteration (s): 0.70 | learning rate: 7.808E-05 | global batch size: 256 | lm loss: 2.606855E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.516 | TFLOPs: 22.23 | 31: iteration 14370/ 23189 | consumed samples: 3678720 | consumed tokens: 7534018560 | elapsed time per iteration (s): 0.69 | learning rate: 7.796E-05 | global batch size: 256 | lm loss: 2.595564E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.889 | TFLOPs: 22.50 | 31: iteration 14380/ 23189 | consumed samples: 3681280 | consumed tokens: 7539261440 | elapsed time per iteration (s): 0.68 | learning rate: 7.785E-05 | global batch size: 256 | lm loss: 2.590430E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.240 | TFLOPs: 22.64 | 31: iteration 14390/ 23189 | consumed samples: 3683840 | consumed tokens: 7544504320 | elapsed time per iteration (s): 0.72 | learning rate: 7.773E-05 | global batch size: 256 | lm loss: 2.605625E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.006 | TFLOPs: 21.66 | 31: iteration 14400/ 23189 | consumed samples: 3686400 | consumed tokens: 7549747200 | elapsed time per iteration (s): 0.69 | learning rate: 7.762E-05 | global batch size: 256 | lm loss: 2.617387E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.547 | TFLOPs: 22.60 | 31: iteration 14410/ 23189 | consumed samples: 3688960 | consumed tokens: 7554990080 | elapsed time per iteration (s): 0.68 | learning rate: 7.750E-05 | global batch size: 256 | lm loss: 2.616688E+00 | grad norm: 0.308 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.218 | TFLOPs: 22.70 | 31: iteration 14420/ 23189 | consumed samples: 3691520 | consumed tokens: 7560232960 | elapsed time per iteration (s): 0.69 | learning rate: 7.739E-05 | global batch size: 256 | lm loss: 2.599717E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.275 | TFLOPs: 22.46 | 31: iteration 14430/ 23189 | consumed samples: 3694080 | consumed tokens: 7565475840 | elapsed time per iteration (s): 0.68 | learning rate: 7.727E-05 | global batch size: 256 | lm loss: 2.594412E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.961 | TFLOPs: 22.81 | 31: iteration 14440/ 23189 | consumed samples: 3696640 | consumed tokens: 7570718720 | elapsed time per iteration (s): 0.70 | learning rate: 7.716E-05 | global batch size: 256 | lm loss: 2.585576E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.602 | TFLOPs: 22.00 | 31: iteration 14450/ 23189 | consumed samples: 3699200 | consumed tokens: 7575961600 | elapsed time per iteration (s): 0.68 | learning rate: 7.704E-05 | global batch size: 256 | lm loss: 2.606310E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.587 | TFLOPs: 22.72 | 31: iteration 14460/ 23189 | consumed samples: 3701760 | consumed tokens: 7581204480 | elapsed time per iteration (s): 0.71 | learning rate: 7.693E-05 | global batch size: 256 | lm loss: 2.594881E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.545 | TFLOPs: 21.75 | 31: iteration 14470/ 23189 | consumed samples: 3704320 | consumed tokens: 7586447360 | elapsed time per iteration (s): 0.70 | learning rate: 7.682E-05 | global batch size: 256 | lm loss: 2.596406E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.638 | TFLOPs: 22.12 | 31: iteration 14480/ 23189 | consumed samples: 3706880 | consumed tokens: 7591690240 | elapsed time per iteration (s): 0.70 | learning rate: 7.670E-05 | global batch size: 256 | lm loss: 2.609030E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.150 | TFLOPs: 22.27 | 31: iteration 14490/ 23189 | consumed samples: 3709440 | consumed tokens: 7596933120 | elapsed time per iteration (s): 0.69 | learning rate: 7.659E-05 | global batch size: 256 | lm loss: 2.596338E+00 | grad norm: 0.317 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.692 | TFLOPs: 22.37 | 31: iteration 14500/ 23189 | consumed samples: 3712000 | consumed tokens: 7602176000 | elapsed time per iteration (s): 0.70 | learning rate: 7.647E-05 | global batch size: 256 | lm loss: 2.598865E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.448 | TFLOPs: 22.05 | 31: iteration 14510/ 23189 | consumed samples: 3714560 | consumed tokens: 7607418880 | elapsed time per iteration (s): 0.70 | learning rate: 7.636E-05 | global batch size: 256 | lm loss: 2.590994E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.945 | TFLOPs: 22.08 | 31: iteration 14520/ 23189 | consumed samples: 3717120 | consumed tokens: 7612661760 | elapsed time per iteration (s): 0.71 | learning rate: 7.624E-05 | global batch size: 256 | lm loss: 2.618019E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.417 | TFLOPs: 21.68 | 31: iteration 14530/ 23189 | consumed samples: 3719680 | consumed tokens: 7617904640 | elapsed time per iteration (s): 0.69 | learning rate: 7.613E-05 | global batch size: 256 | lm loss: 2.599347E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.113 | TFLOPs: 22.57 | 31: iteration 14540/ 23189 | consumed samples: 3722240 | consumed tokens: 7623147520 | elapsed time per iteration (s): 0.70 | learning rate: 7.602E-05 | global batch size: 256 | lm loss: 2.606892E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.764 | TFLOPs: 22.07 | 31: iteration 14550/ 23189 | consumed samples: 3724800 | consumed tokens: 7628390400 | elapsed time per iteration (s): 0.75 | learning rate: 7.590E-05 | global batch size: 256 | lm loss: 2.607960E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.308 | TFLOPs: 20.77 | 31: iteration 14560/ 23189 | consumed samples: 3727360 | consumed tokens: 7633633280 | elapsed time per iteration (s): 0.69 | learning rate: 7.579E-05 | global batch size: 256 | lm loss: 2.602605E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.741 | TFLOPs: 22.43 | 31: iteration 14570/ 23189 | consumed samples: 3729920 | consumed tokens: 7638876160 | elapsed time per iteration (s): 0.69 | learning rate: 7.567E-05 | global batch size: 256 | lm loss: 2.602207E+00 | grad norm: 0.313 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.109 | TFLOPs: 22.39 | 31: iteration 14580/ 23189 | consumed samples: 3732480 | consumed tokens: 7644119040 | elapsed time per iteration (s): 0.69 | learning rate: 7.556E-05 | global batch size: 256 | lm loss: 2.596825E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.525 | TFLOPs: 22.48 | 31: iteration 14590/ 23189 | consumed samples: 3735040 | consumed tokens: 7649361920 | elapsed time per iteration (s): 0.72 | learning rate: 7.545E-05 | global batch size: 256 | lm loss: 2.588832E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.642 | TFLOPs: 21.58 | 31: iteration 14600/ 23189 | consumed samples: 3737600 | consumed tokens: 7654604800 | elapsed time per iteration (s): 0.72 | learning rate: 7.533E-05 | global batch size: 256 | lm loss: 2.584205E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.076 | TFLOPs: 21.60 | 31: iteration 14610/ 23189 | consumed samples: 3740160 | consumed tokens: 7659847680 | elapsed time per iteration (s): 0.70 | learning rate: 7.522E-05 | global batch size: 256 | lm loss: 2.595807E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.387 | TFLOPs: 22.04 | 31: iteration 14620/ 23189 | consumed samples: 3742720 | consumed tokens: 7665090560 | elapsed time per iteration (s): 0.73 | learning rate: 7.511E-05 | global batch size: 256 | lm loss: 2.591663E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.332 | TFLOPs: 21.19 | 31: iteration 14630/ 23189 | consumed samples: 3745280 | consumed tokens: 7670333440 | elapsed time per iteration (s): 0.71 | learning rate: 7.499E-05 | global batch size: 256 | lm loss: 2.598839E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.385 | TFLOPs: 21.86 | 31: iteration 14640/ 23189 | consumed samples: 3747840 | consumed tokens: 7675576320 | elapsed time per iteration (s): 0.69 | learning rate: 7.488E-05 | global batch size: 256 | lm loss: 2.599067E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.335 | TFLOPs: 22.53 | 31: iteration 14650/ 23189 | consumed samples: 3750400 | consumed tokens: 7680819200 | elapsed time per iteration (s): 0.68 | learning rate: 7.477E-05 | global batch size: 256 | lm loss: 2.608510E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.044 | TFLOPs: 22.69 | 31: iteration 14660/ 23189 | consumed samples: 3752960 | consumed tokens: 7686062080 | elapsed time per iteration (s): 0.70 | learning rate: 7.465E-05 | global batch size: 256 | lm loss: 2.595078E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.183 | TFLOPs: 22.27 | 31: iteration 14670/ 23189 | consumed samples: 3755520 | consumed tokens: 7691304960 | elapsed time per iteration (s): 0.68 | learning rate: 7.454E-05 | global batch size: 256 | lm loss: 2.590581E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.198 | TFLOPs: 22.76 | 31: iteration 14680/ 23189 | consumed samples: 3758080 | consumed tokens: 7696547840 | elapsed time per iteration (s): 0.70 | learning rate: 7.443E-05 | global batch size: 256 | lm loss: 2.595982E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.292 | TFLOPs: 22.22 | 31: iteration 14690/ 23189 | consumed samples: 3760640 | consumed tokens: 7701790720 | elapsed time per iteration (s): 0.69 | learning rate: 7.431E-05 | global batch size: 256 | lm loss: 2.595552E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.289 | TFLOPs: 22.46 | 31: iteration 14700/ 23189 | consumed samples: 3763200 | consumed tokens: 7707033600 | elapsed time per iteration (s): 0.69 | learning rate: 7.420E-05 | global batch size: 256 | lm loss: 2.578817E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.906 | TFLOPs: 22.50 | 31: iteration 14710/ 23189 | consumed samples: 3765760 | consumed tokens: 7712276480 | elapsed time per iteration (s): 0.71 | learning rate: 7.409E-05 | global batch size: 256 | lm loss: 2.595440E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.183 | TFLOPs: 21.67 | 31: iteration 14720/ 23189 | consumed samples: 3768320 | consumed tokens: 7717519360 | elapsed time per iteration (s): 0.69 | learning rate: 7.397E-05 | global batch size: 256 | lm loss: 2.582836E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.469 | TFLOPs: 22.29 | 31: iteration 14730/ 23189 | consumed samples: 3770880 | consumed tokens: 7722762240 | elapsed time per iteration (s): 0.73 | learning rate: 7.386E-05 | global batch size: 256 | lm loss: 2.599892E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.802 | TFLOPs: 21.34 | 31: iteration 14740/ 23189 | consumed samples: 3773440 | consumed tokens: 7728005120 | elapsed time per iteration (s): 0.68 | learning rate: 7.375E-05 | global batch size: 256 | lm loss: 2.589032E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.066 | TFLOPs: 22.69 | 31: iteration 14750/ 23189 | consumed samples: 3776000 | consumed tokens: 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consumed samples: 3783680 | consumed tokens: 7748976640 | elapsed time per iteration (s): 0.68 | learning rate: 7.330E-05 | global batch size: 256 | lm loss: 2.575170E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.489 | TFLOPs: 22.84 | 31: iteration 14790/ 23189 | consumed samples: 3786240 | consumed tokens: 7754219520 | elapsed time per iteration (s): 0.71 | learning rate: 7.319E-05 | global batch size: 256 | lm loss: 2.580332E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.727 | TFLOPs: 21.94 | 31: iteration 14800/ 23189 | consumed samples: 3788800 | consumed tokens: 7759462400 | elapsed time per iteration (s): 0.70 | learning rate: 7.307E-05 | global batch size: 256 | lm loss: 2.596319E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.631 | TFLOPs: 22.24 | 31: iteration 14810/ 23189 | consumed samples: 3791360 | consumed tokens: 7764705280 | elapsed time per iteration (s): 0.70 | learning rate: 7.296E-05 | global batch size: 256 | lm loss: 2.583865E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.046 | TFLOPs: 22.27 | 31: iteration 14820/ 23189 | consumed samples: 3793920 | consumed tokens: 7769948160 | elapsed time per iteration (s): 0.74 | learning rate: 7.285E-05 | global batch size: 256 | lm loss: 2.587443E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.582 | TFLOPs: 20.97 | 31: iteration 14830/ 23189 | consumed samples: 3796480 | consumed tokens: 7775191040 | elapsed time per iteration (s): 0.72 | learning rate: 7.274E-05 | global batch size: 256 | lm loss: 2.585299E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.860 | TFLOPs: 21.65 | 31: iteration 14840/ 23189 | consumed samples: 3799040 | consumed tokens: 7780433920 | elapsed time per iteration (s): 0.70 | learning rate: 7.262E-05 | global batch size: 256 | lm loss: 2.593892E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.655 | TFLOPs: 22.00 | 31: iteration 14850/ 23189 | consumed samples: 3801600 | consumed tokens: 7785676800 | elapsed time per iteration (s): 0.70 | learning rate: 7.251E-05 | global batch size: 256 | lm loss: 2.564934E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.769 | TFLOPs: 22.13 | 31: iteration 14860/ 23189 | consumed samples: 3804160 | consumed tokens: 7790919680 | elapsed time per iteration (s): 0.70 | learning rate: 7.240E-05 | global batch size: 256 | lm loss: 2.587242E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.566 | TFLOPs: 22.18 | 31: iteration 14870/ 23189 | consumed samples: 3806720 | consumed tokens: 7796162560 | elapsed time per iteration (s): 0.69 | learning rate: 7.229E-05 | global batch size: 256 | lm loss: 2.578115E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.585 | TFLOPs: 22.48 | 31: iteration 14880/ 23189 | consumed samples: 3809280 | consumed tokens: 7801405440 | elapsed time per iteration (s): 0.69 | learning rate: 7.218E-05 | global batch size: 256 | lm loss: 2.575734E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.721 | TFLOPs: 22.55 | 31: iteration 14890/ 23189 | consumed samples: 3811840 | consumed tokens: 7806648320 | elapsed time per iteration (s): 0.71 | learning rate: 7.206E-05 | global batch size: 256 | lm loss: 2.576986E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.888 | TFLOPs: 21.89 | 31: iteration 14900/ 23189 | consumed samples: 3814400 | consumed tokens: 7811891200 | elapsed time per iteration (s): 0.69 | learning rate: 7.195E-05 | global batch size: 256 | lm loss: 2.583255E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.576 | TFLOPs: 22.48 | 31: iteration 14910/ 23189 | consumed samples: 3816960 | consumed tokens: 7817134080 | elapsed time per iteration (s): 0.68 | learning rate: 7.184E-05 | global batch size: 256 | lm loss: 2.576284E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.801 | TFLOPs: 22.61 | 31: iteration 14920/ 23189 | consumed samples: 3819520 | consumed tokens: 7822376960 | elapsed time per iteration (s): 0.73 | learning rate: 7.173E-05 | global batch size: 256 | lm loss: 2.578458E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.462 | TFLOPs: 21.26 | 31: iteration 14930/ 23189 | consumed samples: 3822080 | consumed tokens: 7827619840 | elapsed time per iteration (s): 0.70 | learning rate: 7.162E-05 | global batch size: 256 | lm loss: 2.570918E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.676 | TFLOPs: 22.06 | 31: iteration 14940/ 23189 | consumed samples: 3824640 | consumed tokens: 7832862720 | elapsed time per iteration (s): 0.69 | learning rate: 7.151E-05 | global batch size: 256 | lm loss: 2.579163E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.592 | TFLOPs: 22.54 | 31: iteration 14950/ 23189 | consumed samples: 3827200 | consumed tokens: 7838105600 | elapsed time per iteration (s): 0.69 | learning rate: 7.140E-05 | global batch size: 256 | lm loss: 2.576333E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.607 | TFLOPs: 22.60 | 31: iteration 14960/ 23189 | consumed samples: 3829760 | consumed tokens: 7843348480 | elapsed time per iteration (s): 0.68 | learning rate: 7.128E-05 | global batch size: 256 | lm loss: 2.590728E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.178 | TFLOPs: 22.76 | 31: iteration 14970/ 23189 | consumed samples: 3832320 | consumed tokens: 7848591360 | elapsed time per iteration (s): 0.70 | learning rate: 7.117E-05 | global batch size: 256 | lm loss: 2.586797E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.405 | TFLOPs: 22.17 | 31: iteration 14980/ 23189 | consumed samples: 3834880 | consumed tokens: 7853834240 | elapsed time per iteration (s): 0.69 | learning rate: 7.106E-05 | global batch size: 256 | lm loss: 2.573723E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.379 | TFLOPs: 22.47 | 31: iteration 14990/ 23189 | consumed samples: 3837440 | consumed tokens: 7859077120 | elapsed time per iteration (s): 0.70 | learning rate: 7.095E-05 | global batch size: 256 | lm loss: 2.573587E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.523 | TFLOPs: 22.05 | 31: iteration 15000/ 23189 | consumed samples: 3840000 | consumed tokens: 7864320000 | elapsed time per iteration (s): 0.70 | learning rate: 7.084E-05 | global batch size: 256 | lm loss: 2.579305E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.590 | TFLOPs: 22.12 | 31: iteration 15010/ 23189 | consumed samples: 3842560 | consumed tokens: 7869562880 | elapsed time per iteration (s): 0.69 | learning rate: 7.073E-05 | global batch size: 256 | lm loss: 2.576659E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.073 | TFLOPs: 22.51 | 31: iteration 15020/ 23189 | consumed samples: 3845120 | consumed tokens: 7874805760 | elapsed time per iteration (s): 0.68 | learning rate: 7.062E-05 | global batch size: 256 | lm loss: 2.579794E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.812 | TFLOPs: 22.61 | 31: iteration 15030/ 23189 | consumed samples: 3847680 | consumed tokens: 7880048640 | elapsed time per iteration (s): 0.68 | learning rate: 7.051E-05 | global batch size: 256 | lm loss: 2.586862E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.189 | TFLOPs: 22.94 | 31: iteration 15040/ 23189 | consumed samples: 3850240 | consumed tokens: 7885291520 | elapsed time per iteration (s): 0.73 | learning rate: 7.040E-05 | global batch size: 256 | lm loss: 2.585350E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.110 | TFLOPs: 21.30 | 31: iteration 15050/ 23189 | consumed samples: 3852800 | consumed tokens: 7890534400 | elapsed time per iteration (s): 0.69 | learning rate: 7.029E-05 | global batch size: 256 | lm loss: 2.578878E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.126 | TFLOPs: 22.45 | 31: iteration 15060/ 23189 | consumed samples: 3855360 | consumed tokens: 7895777280 | elapsed time per iteration (s): 0.68 | learning rate: 7.018E-05 | global batch size: 256 | lm loss: 2.575133E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.517 | TFLOPs: 22.66 | 31: iteration 15070/ 23189 | consumed samples: 3857920 | consumed tokens: 7901020160 | elapsed time per iteration (s): 0.71 | learning rate: 7.007E-05 | global batch size: 256 | lm loss: 2.579515E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.019 | TFLOPs: 21.96 | 31: iteration 15080/ 23189 | consumed samples: 3860480 | consumed tokens: 7906263040 | elapsed time per iteration (s): 0.73 | learning rate: 6.996E-05 | global batch size: 256 | lm loss: 2.573865E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.766 | TFLOPs: 21.22 | 31: iteration 15090/ 23189 | consumed samples: 3863040 | consumed tokens: 7911505920 | elapsed time per iteration (s): 0.68 | learning rate: 6.985E-05 | global batch size: 256 | lm loss: 2.575926E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 378.227 | TFLOPs: 22.88 | 31: iteration 15100/ 23189 | consumed samples: 3865600 | consumed tokens: 7916748800 | elapsed time per iteration (s): 0.70 | learning rate: 6.974E-05 | global batch size: 256 | lm loss: 2.571616E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.690 | TFLOPs: 22.24 | 31: iteration 15110/ 23189 | consumed samples: 3868160 | consumed tokens: 7921991680 | elapsed time per iteration (s): 0.71 | learning rate: 6.963E-05 | global batch size: 256 | lm loss: 2.573980E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.500 | TFLOPs: 21.81 | 31: iteration 15120/ 23189 | consumed samples: 3870720 | consumed tokens: 7927234560 | elapsed time per iteration (s): 0.72 | learning rate: 6.952E-05 | global batch size: 256 | lm loss: 2.574837E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.449 | TFLOPs: 21.62 | 31: iteration 15130/ 23189 | consumed samples: 3873280 | consumed tokens: 7932477440 | elapsed time per iteration (s): 0.69 | learning rate: 6.941E-05 | global batch size: 256 | lm loss: 2.592715E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.095 | TFLOPs: 22.51 | 31: iteration 15140/ 23189 | consumed samples: 3875840 | consumed tokens: 7937720320 | elapsed time per iteration (s): 0.70 | learning rate: 6.930E-05 | global batch size: 256 | lm loss: 2.578511E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.794 | TFLOPs: 22.19 | 31: iteration 15150/ 23189 | consumed samples: 3878400 | consumed tokens: 7942963200 | elapsed time per iteration (s): 0.70 | learning rate: 6.919E-05 | global batch size: 256 | lm loss: 2.585365E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.876 | TFLOPs: 22.07 | 31: iteration 15160/ 23189 | consumed samples: 3880960 | consumed tokens: 7948206080 | elapsed time per iteration (s): 0.68 | learning rate: 6.908E-05 | global batch size: 256 | lm loss: 2.581472E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.676 | TFLOPs: 22.79 | 31: iteration 15170/ 23189 | consumed samples: 3883520 | consumed tokens: 7953448960 | elapsed time per iteration (s): 0.70 | learning rate: 6.897E-05 | global batch size: 256 | lm loss: 2.589318E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.501 | TFLOPs: 21.99 | 31: iteration 15180/ 23189 | consumed samples: 3886080 | consumed tokens: 7958691840 | elapsed time per iteration (s): 0.69 | learning rate: 6.886E-05 | global batch size: 256 | lm loss: 2.573862E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.906 | TFLOPs: 22.50 | 31: iteration 15190/ 23189 | consumed samples: 3888640 | consumed tokens: 7963934720 | elapsed time per iteration (s): 0.68 | learning rate: 6.875E-05 | global batch size: 256 | lm loss: 2.566952E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.737 | TFLOPs: 22.73 | 31: iteration 15200/ 23189 | consumed samples: 3891200 | consumed tokens: 7969177600 | elapsed time per iteration (s): 0.70 | learning rate: 6.864E-05 | global batch size: 256 | lm loss: 2.573885E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.125 | TFLOPs: 22.27 | 31: iteration 15210/ 23189 | consumed samples: 3893760 | consumed tokens: 7974420480 | elapsed time per iteration (s): 0.68 | learning rate: 6.853E-05 | global batch size: 256 | lm loss: 2.564845E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.216 | TFLOPs: 22.70 | 31: iteration 15220/ 23189 | consumed samples: 3896320 | consumed tokens: 7979663360 | elapsed time per iteration (s): 0.69 | learning rate: 6.842E-05 | global batch size: 256 | lm loss: 2.580931E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.334 | TFLOPs: 22.46 | 31: iteration 15230/ 23189 | consumed samples: 3898880 | consumed tokens: 7984906240 | elapsed time per iteration (s): 0.69 | learning rate: 6.831E-05 | global batch size: 256 | lm loss: 2.586632E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.464 | TFLOPs: 22.59 | 31: iteration 15240/ 23189 | consumed samples: 3901440 | consumed tokens: 7990149120 | elapsed time per iteration (s): 0.70 | learning rate: 6.820E-05 | global batch size: 256 | lm loss: 2.573742E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.885 | TFLOPs: 22.01 | 31: iteration 15250/ 23189 | consumed samples: 3904000 | consumed tokens: 7995392000 | elapsed time per iteration (s): 0.68 | learning rate: 6.809E-05 | global batch size: 256 | lm loss: 2.570534E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.950 | TFLOPs: 22.68 | 31: iteration 15260/ 23189 | consumed samples: 3906560 | consumed tokens: 8000634880 | elapsed time per iteration (s): 0.72 | learning rate: 6.798E-05 | global batch size: 256 | lm loss: 2.573981E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.954 | TFLOPs: 21.47 | 31: iteration 15270/ 23189 | consumed samples: 3909120 | consumed tokens: 8005877760 | elapsed time per iteration (s): 0.71 | learning rate: 6.787E-05 | global batch size: 256 | lm loss: 2.587719E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.714 | TFLOPs: 21.76 | 31: iteration 15280/ 23189 | consumed samples: 3911680 | consumed tokens: 8011120640 | elapsed time per iteration (s): 0.68 | learning rate: 6.777E-05 | global batch size: 256 | lm loss: 2.573724E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.441 | TFLOPs: 22.77 | 31: iteration 15290/ 23189 | consumed samples: 3914240 | consumed tokens: 8016363520 | elapsed time per iteration (s): 0.68 | learning rate: 6.766E-05 | global batch size: 256 | lm loss: 2.563171E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.294 | TFLOPs: 22.70 | 31: iteration 15300/ 23189 | consumed samples: 3916800 | consumed tokens: 8021606400 | elapsed time per iteration (s): 0.68 | learning rate: 6.755E-05 | global batch size: 256 | lm loss: 2.569012E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.007 | TFLOPs: 22.69 | 31: iteration 15310/ 23189 | consumed samples: 3919360 | consumed tokens: 8026849280 | elapsed time per iteration (s): 0.70 | learning rate: 6.744E-05 | global batch size: 256 | lm loss: 2.567706E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.647 | TFLOPs: 22.24 | 31: iteration 15320/ 23189 | consumed samples: 3921920 | consumed tokens: 8032092160 | elapsed time per iteration (s): 0.68 | learning rate: 6.733E-05 | global batch size: 256 | lm loss: 2.556666E+00 | grad norm: 0.314 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.323 | TFLOPs: 22.77 | 31: iteration 15330/ 23189 | consumed samples: 3924480 | consumed tokens: 8037335040 | elapsed time per iteration (s): 0.69 | learning rate: 6.722E-05 | global batch size: 256 | lm loss: 2.575602E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.245 | TFLOPs: 22.34 | 31: iteration 15340/ 23189 | consumed samples: 3927040 | consumed tokens: 8042577920 | elapsed time per iteration (s): 0.70 | learning rate: 6.711E-05 | global batch size: 256 | lm loss: 2.553552E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.895 | TFLOPs: 22.08 | 31: iteration 15350/ 23189 | consumed samples: 3929600 | consumed tokens: 8047820800 | elapsed time per iteration (s): 0.71 | learning rate: 6.701E-05 | global batch size: 256 | lm loss: 2.554934E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.913 | TFLOPs: 21.89 | 31: iteration 15360/ 23189 | consumed samples: 3932160 | consumed tokens: 8053063680 | elapsed time per iteration (s): 0.69 | learning rate: 6.690E-05 | global batch size: 256 | lm loss: 2.559783E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.600 | TFLOPs: 22.54 | 31: iteration 15370/ 23189 | consumed samples: 3934720 | consumed tokens: 8058306560 | elapsed time per iteration (s): 0.70 | learning rate: 6.679E-05 | global batch size: 256 | lm loss: 2.571866E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.555 | TFLOPs: 22.24 | 31: iteration 15380/ 23189 | consumed samples: 3937280 | consumed tokens: 8063549440 | elapsed 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iteration 15440/ 23189 | consumed samples: 3952640 | consumed tokens: 8095006720 | elapsed time per iteration (s): 0.70 | learning rate: 6.604E-05 | global batch size: 256 | lm loss: 2.561117E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.317 | TFLOPs: 22.28 | 31: iteration 15450/ 23189 | consumed samples: 3955200 | consumed tokens: 8100249600 | elapsed time per iteration (s): 0.69 | learning rate: 6.593E-05 | global batch size: 256 | lm loss: 2.559530E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.598 | TFLOPs: 22.48 | 31: iteration 15460/ 23189 | consumed samples: 3957760 | consumed tokens: 8105492480 | elapsed time per iteration (s): 0.71 | learning rate: 6.582E-05 | global batch size: 256 | lm loss: 2.553849E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.383 | TFLOPs: 21.74 | 31: iteration 15470/ 23189 | consumed samples: 3960320 | consumed tokens: 8110735360 | elapsed time per iteration (s): 0.73 | learning rate: 6.571E-05 | global batch size: 256 | lm loss: 2.567833E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.056 | TFLOPs: 21.24 | 31: iteration 15480/ 23189 | consumed samples: 3962880 | consumed tokens: 8115978240 | elapsed time per iteration (s): 0.70 | learning rate: 6.561E-05 | global batch size: 256 | lm loss: 2.564284E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.596 | TFLOPs: 22.00 | 31: iteration 15490/ 23189 | consumed samples: 3965440 | consumed tokens: 8121221120 | elapsed time per iteration (s): 0.69 | learning rate: 6.550E-05 | global batch size: 256 | lm loss: 2.564421E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.762 | TFLOPs: 22.43 | 31: iteration 15500/ 23189 | consumed samples: 3968000 | consumed tokens: 8126464000 | elapsed time per iteration (s): 0.68 | learning rate: 6.539E-05 | global batch size: 256 | lm loss: 2.546494E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.408 | TFLOPs: 22.71 | 31: iteration 15510/ 23189 | consumed samples: 3970560 | consumed tokens: 8131706880 | elapsed time per iteration (s): 0.69 | learning rate: 6.529E-05 | global batch size: 256 | lm loss: 2.559432E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.652 | TFLOPs: 22.36 | 31: iteration 15520/ 23189 | consumed samples: 3973120 | consumed tokens: 8136949760 | elapsed time per iteration (s): 0.69 | learning rate: 6.518E-05 | global batch size: 256 | lm loss: 2.560116E+00 | grad norm: 0.322 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.273 | TFLOPs: 22.40 | 31: iteration 15530/ 23189 | consumed samples: 3975680 | consumed tokens: 8142192640 | elapsed time per iteration (s): 0.70 | learning rate: 6.507E-05 | global batch size: 256 | lm loss: 2.558321E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.660 | TFLOPs: 22.12 | 31: iteration 15540/ 23189 | consumed samples: 3978240 | consumed tokens: 8147435520 | elapsed time per iteration (s): 0.69 | learning rate: 6.496E-05 | global batch size: 256 | lm loss: 2.567809E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.136 | TFLOPs: 22.57 | 31: iteration 15550/ 23189 | consumed samples: 3980800 | consumed tokens: 8152678400 | elapsed time per iteration (s): 0.71 | learning rate: 6.486E-05 | global batch size: 256 | lm loss: 2.559719E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.842 | TFLOPs: 21.83 | 31: iteration 15560/ 23189 | consumed samples: 3983360 | consumed tokens: 8157921280 | elapsed time per iteration (s): 0.68 | learning rate: 6.475E-05 | global batch size: 256 | lm loss: 2.552000E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.172 | TFLOPs: 22.64 | 31: iteration 15570/ 23189 | consumed samples: 3985920 | consumed tokens: 8163164160 | elapsed time per iteration (s): 0.69 | learning rate: 6.465E-05 | global batch size: 256 | lm loss: 2.544454E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.315 | TFLOPs: 22.40 | 31: iteration 15580/ 23189 | consumed samples: 3988480 | consumed tokens: 8168407040 | elapsed time per iteration (s): 0.69 | learning rate: 6.454E-05 | global batch size: 256 | lm loss: 2.545058E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.370 | TFLOPs: 22.59 | 31: iteration 15590/ 23189 | consumed samples: 3991040 | consumed tokens: 8173649920 | elapsed time per iteration (s): 0.70 | learning rate: 6.443E-05 | global batch size: 256 | lm loss: 2.555354E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.465 | TFLOPs: 22.11 | 31: iteration 15600/ 23189 | consumed samples: 3993600 | consumed tokens: 8178892800 | elapsed time per iteration (s): 0.72 | learning rate: 6.433E-05 | global batch size: 256 | lm loss: 2.560873E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.658 | TFLOPs: 21.52 | 31: iteration 15610/ 23189 | consumed samples: 3996160 | consumed tokens: 8184135680 | elapsed time per iteration (s): 0.71 | learning rate: 6.422E-05 | global batch size: 256 | lm loss: 2.560252E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.792 | TFLOPs: 21.83 | 31: iteration 15620/ 23189 | consumed samples: 3998720 | consumed tokens: 8189378560 | elapsed time per iteration (s): 0.74 | learning rate: 6.411E-05 | global batch size: 256 | lm loss: 2.577101E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.714 | TFLOPs: 20.85 | 31: iteration 15630/ 23189 | consumed samples: 4001280 | consumed tokens: 8194621440 | elapsed time per iteration (s): 0.72 | learning rate: 6.401E-05 | global batch size: 256 | lm loss: 2.563190E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.622 | TFLOPs: 21.51 | 31: iteration 15640/ 23189 | consumed samples: 4003840 | consumed tokens: 8199864320 | elapsed time per iteration (s): 0.70 | learning rate: 6.390E-05 | global batch size: 256 | lm loss: 2.553578E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.481 | TFLOPs: 22.11 | 31: iteration 15650/ 23189 | consumed samples: 4006400 | consumed tokens: 8205107200 | elapsed time per iteration (s): 0.70 | learning rate: 6.380E-05 | global batch size: 256 | lm loss: 2.550227E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.283 | TFLOPs: 21.98 | 31: iteration 15660/ 23189 | consumed samples: 4008960 | consumed tokens: 8210350080 | elapsed time per iteration (s): 0.71 | learning rate: 6.369E-05 | global batch size: 256 | lm loss: 2.567445E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.539 | TFLOPs: 21.69 | 31: iteration 15670/ 23189 | consumed samples: 4011520 | consumed tokens: 8215592960 | elapsed time per iteration (s): 0.70 | learning rate: 6.359E-05 | global batch size: 256 | lm loss: 2.553036E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.323 | TFLOPs: 22.28 | 31: iteration 15680/ 23189 | consumed samples: 4014080 | consumed tokens: 8220835840 | elapsed time per iteration (s): 0.69 | learning rate: 6.348E-05 | global batch size: 256 | lm loss: 2.552163E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.668 | TFLOPs: 22.30 | 31: iteration 15690/ 23189 | consumed samples: 4016640 | consumed tokens: 8226078720 | elapsed time per iteration (s): 0.72 | learning rate: 6.338E-05 | global batch size: 256 | lm loss: 2.566281E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.031 | TFLOPs: 21.48 | 31: iteration 15700/ 23189 | consumed samples: 4019200 | consumed tokens: 8231321600 | elapsed time per iteration (s): 0.70 | learning rate: 6.327E-05 | global batch size: 256 | lm loss: 2.546542E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.646 | TFLOPs: 22.24 | 31: iteration 15710/ 23189 | consumed samples: 4021760 | consumed tokens: 8236564480 | elapsed time per iteration (s): 0.74 | learning rate: 6.316E-05 | global batch size: 256 | lm loss: 2.549150E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.205 | TFLOPs: 20.94 | 31: iteration 15720/ 23189 | consumed samples: 4024320 | consumed tokens: 8241807360 | elapsed time per iteration (s): 0.70 | learning rate: 6.306E-05 | global batch size: 256 | lm loss: 2.551356E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.327 | TFLOPs: 21.98 | 31: iteration 15730/ 23189 | consumed samples: 4026880 | consumed tokens: 8247050240 | elapsed time per iteration (s): 0.73 | learning rate: 6.295E-05 | global batch size: 256 | lm loss: 2.536802E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.771 | TFLOPs: 21.10 | 31: iteration 15740/ 23189 | consumed samples: 4029440 | consumed tokens: 8252293120 | elapsed time per iteration (s): 0.70 | learning rate: 6.285E-05 | global batch size: 256 | lm loss: 2.554251E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.979 | TFLOPs: 22.02 | 31: iteration 15750/ 23189 | consumed samples: 4032000 | consumed tokens: 8257536000 | elapsed time per iteration (s): 0.72 | learning rate: 6.274E-05 | global batch size: 256 | lm loss: 2.560379E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.873 | TFLOPs: 21.47 | 31: iteration 15760/ 23189 | consumed samples: 4034560 | consumed tokens: 8262778880 | elapsed time per iteration (s): 0.71 | learning rate: 6.264E-05 | global batch size: 256 | lm loss: 2.574653E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.744 | TFLOPs: 21.70 | 31: iteration 15770/ 23189 | consumed samples: 4037120 | consumed tokens: 8268021760 | elapsed time per iteration (s): 0.72 | learning rate: 6.254E-05 | global batch size: 256 | lm loss: 2.553982E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.140 | TFLOPs: 21.55 | 31: iteration 15780/ 23189 | consumed samples: 4039680 | consumed tokens: 8273264640 | elapsed time per iteration (s): 0.69 | learning rate: 6.243E-05 | global batch size: 256 | lm loss: 2.559269E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.372 | TFLOPs: 22.59 | 31: iteration 15790/ 23189 | consumed samples: 4042240 | consumed tokens: 8278507520 | elapsed time per iteration (s): 0.81 | learning rate: 6.233E-05 | global batch size: 256 | lm loss: 2.521185E+00 | grad norm: 0.320 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.861 | TFLOPs: 19.17 | 31: iteration 15800/ 23189 | consumed samples: 4044800 | consumed tokens: 8283750400 | elapsed time per iteration (s): 0.73 | learning rate: 6.222E-05 | global batch size: 256 | lm loss: 2.549561E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.149 | TFLOPs: 21.18 | 31: iteration 15810/ 23189 | consumed samples: 4047360 | consumed tokens: 8288993280 | elapsed time per iteration (s): 0.72 | learning rate: 6.212E-05 | global batch size: 256 | lm loss: 2.550930E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.132 | TFLOPs: 21.42 | 31: iteration 15820/ 23189 | consumed samples: 4049920 | consumed tokens: 8294236160 | elapsed time per iteration (s): 0.71 | learning rate: 6.201E-05 | global batch size: 256 | lm loss: 2.556237E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.427 | TFLOPs: 21.80 | 31: iteration 15830/ 23189 | consumed samples: 4052480 | consumed tokens: 8299479040 | elapsed time per iteration (s): 0.72 | learning rate: 6.191E-05 | global batch size: 256 | lm loss: 2.548594E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.059 | TFLOPs: 21.54 | 31: iteration 15840/ 23189 | consumed samples: 4055040 | consumed tokens: 8304721920 | elapsed time per iteration (s): 0.74 | learning rate: 6.180E-05 | global batch size: 256 | lm loss: 2.555388E+00 | grad norm: 0.321 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.217 | TFLOPs: 21.01 | 31: iteration 15850/ 23189 | consumed samples: 4057600 | consumed tokens: 8309964800 | elapsed time per iteration (s): 0.75 | learning rate: 6.170E-05 | global batch size: 256 | lm loss: 2.545836E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.284 | TFLOPs: 20.71 | 31: iteration 15860/ 23189 | consumed samples: 4060160 | consumed tokens: 8315207680 | elapsed time per iteration (s): 0.70 | learning rate: 6.160E-05 | global batch size: 256 | lm loss: 2.541551E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.192 | TFLOPs: 22.21 | 31: iteration 15870/ 23189 | consumed samples: 4062720 | consumed tokens: 8320450560 | elapsed time per iteration (s): 0.80 | learning rate: 6.149E-05 | global batch size: 256 | lm loss: 2.555375E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 321.846 | TFLOPs: 19.47 | 31: iteration 15880/ 23189 | consumed samples: 4065280 | consumed tokens: 8325693440 | elapsed time per iteration (s): 0.68 | learning rate: 6.139E-05 | global batch size: 256 | lm loss: 2.544943E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.106 | TFLOPs: 22.69 | 31: iteration 15890/ 23189 | consumed samples: 4067840 | consumed tokens: 8330936320 | elapsed time per iteration (s): 0.76 | learning rate: 6.129E-05 | global batch size: 256 | lm loss: 2.560913E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.751 | TFLOPs: 20.49 | 31: iteration 15900/ 23189 | consumed samples: 4070400 | consumed tokens: 8336179200 | elapsed time per iteration (s): 0.84 | learning rate: 6.118E-05 | global batch size: 256 | lm loss: 2.548026E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 303.498 | TFLOPs: 18.36 | 31: iteration 15910/ 23189 | consumed samples: 4072960 | consumed tokens: 8341422080 | elapsed time per iteration (s): 0.70 | learning rate: 6.108E-05 | global batch size: 256 | lm loss: 2.540846E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.100 | TFLOPs: 22.21 | 31: iteration 15920/ 23189 | consumed samples: 4075520 | consumed tokens: 8346664960 | elapsed time per iteration (s): 0.76 | learning rate: 6.098E-05 | global batch size: 256 | lm loss: 2.538065E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.510 | TFLOPs: 20.36 | 31: iteration 15930/ 23189 | consumed samples: 4078080 | consumed tokens: 8351907840 | elapsed time per iteration (s): 0.73 | learning rate: 6.087E-05 | global batch size: 256 | lm loss: 2.559011E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.518 | TFLOPs: 21.21 | 31: iteration 15940/ 23189 | consumed samples: 4080640 | consumed tokens: 8357150720 | elapsed time per iteration (s): 0.74 | learning rate: 6.077E-05 | global batch size: 256 | lm loss: 2.538616E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.648 | TFLOPs: 20.91 | 31: iteration 15950/ 23189 | consumed samples: 4083200 | consumed tokens: 8362393600 | elapsed time per iteration (s): 0.71 | learning rate: 6.067E-05 | global batch size: 256 | lm loss: 2.544581E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.885 | TFLOPs: 21.89 | 31: iteration 15960/ 23189 | consumed samples: 4085760 | consumed tokens: 8367636480 | elapsed time per iteration (s): 0.69 | learning rate: 6.056E-05 | global batch size: 256 | lm loss: 2.542545E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.238 | TFLOPs: 22.34 | 31: iteration 15970/ 23189 | consumed samples: 4088320 | consumed tokens: 8372879360 | elapsed time per iteration (s): 0.71 | learning rate: 6.046E-05 | global batch size: 256 | lm loss: 2.536921E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.051 | TFLOPs: 21.96 | 31: iteration 15980/ 23189 | consumed samples: 4090880 | consumed tokens: 8378122240 | elapsed time per iteration (s): 0.70 | learning rate: 6.036E-05 | global batch size: 256 | lm loss: 2.556181E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.046 | TFLOPs: 22.14 | 31: iteration 15990/ 23189 | consumed samples: 4093440 | consumed tokens: 8383365120 | elapsed time per iteration (s): 0.72 | learning rate: 6.025E-05 | global batch size: 256 | lm loss: 2.548694E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.630 | TFLOPs: 21.39 | 0: [2023-03-16 01:06:12,732] [INFO] [logging.py:68:log_dist] [Rank 0] step=16000, skipped=0, lr=[6.015228090977243e-05, 6.015228090977243e-05, 6.015228090977243e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 16000/ 23189 | consumed samples: 4096000 | consumed tokens: 8388608000 | elapsed time per iteration (s): 0.71 | learning rate: 6.015E-05 | global batch size: 256 | lm loss: 2.536059E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.434 | TFLOPs: 21.87 | 0: steps: 16000 loss: 2.5315 iter time (s): 0.699 samples/sec: 366.266 31: iteration 16010/ 23189 | consumed samples: 4098560 | consumed tokens: 8393850880 | elapsed time per iteration (s): 0.75 | learning rate: 6.005E-05 | global batch size: 256 | lm loss: 2.550076E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.928 | TFLOPs: 20.75 | 31: iteration 16020/ 23189 | consumed samples: 4101120 | consumed tokens: 8399093760 | elapsed time per iteration (s): 0.73 | learning rate: 5.995E-05 | global batch size: 256 | lm loss: 2.536923E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.353 | TFLOPs: 21.13 | 31: iteration 16030/ 23189 | consumed samples: 4103680 | consumed tokens: 8404336640 | elapsed time per iteration (s): 0.74 | learning rate: 5.985E-05 | global batch size: 256 | lm loss: 2.537454E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.109 | TFLOPs: 20.88 | 31: iteration 16040/ 23189 | consumed samples: 4106240 | consumed tokens: 8409579520 | elapsed time per iteration (s): 0.69 | learning rate: 5.974E-05 | global batch size: 256 | lm loss: 2.528786E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.412 | TFLOPs: 22.53 | 31: iteration 16050/ 23189 | consumed samples: 4108800 | consumed tokens: 8414822400 | elapsed time per iteration (s): 0.69 | learning rate: 5.964E-05 | global batch size: 256 | lm loss: 2.549872E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.881 | TFLOPs: 22.32 | 31: iteration 16060/ 23189 | consumed samples: 4111360 | consumed tokens: 8420065280 | elapsed time per iteration (s): 0.69 | learning rate: 5.954E-05 | global batch size: 256 | lm loss: 2.549763E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.347 | TFLOPs: 22.53 | 31: iteration 16070/ 23189 | consumed samples: 4113920 | consumed tokens: 8425308160 | elapsed time per iteration (s): 0.73 | learning rate: 5.944E-05 | global batch size: 256 | lm loss: 2.538689E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.771 | TFLOPs: 21.28 | 31: iteration 16080/ 23189 | consumed samples: 4116480 | consumed tokens: 8430551040 | elapsed time per iteration (s): 0.71 | learning rate: 5.933E-05 | global batch size: 256 | lm loss: 2.534753E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.080 | TFLOPs: 21.78 | 31: iteration 16090/ 23189 | consumed samples: 4119040 | consumed tokens: 8435793920 | elapsed time per iteration (s): 0.72 | learning rate: 5.923E-05 | global batch size: 256 | lm loss: 2.548757E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.772 | TFLOPs: 21.58 | 31: iteration 16100/ 23189 | consumed samples: 4121600 | consumed tokens: 8441036800 | elapsed time per iteration (s): 0.71 | learning rate: 5.913E-05 | global batch size: 256 | lm loss: 2.535207E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.410 | TFLOPs: 21.92 | 31: iteration 16110/ 23189 | consumed samples: 4124160 | consumed tokens: 8446279680 | elapsed time per iteration (s): 0.71 | learning rate: 5.903E-05 | global batch size: 256 | lm loss: 2.531207E+00 | grad norm: 0.319 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.269 | TFLOPs: 21.73 | 31: iteration 16120/ 23189 | consumed samples: 4126720 | consumed tokens: 8451522560 | elapsed time per iteration (s): 0.72 | learning rate: 5.893E-05 | global batch size: 256 | lm loss: 2.536522E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.070 | TFLOPs: 21.48 | 31: iteration 16130/ 23189 | consumed samples: 4129280 | consumed tokens: 8456765440 | elapsed time per iteration (s): 0.69 | learning rate: 5.883E-05 | global batch size: 256 | lm loss: 2.550763E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.556 | TFLOPs: 22.30 | 31: iteration 16140/ 23189 | consumed samples: 4131840 | consumed tokens: 8462008320 | elapsed time per iteration (s): 0.69 | learning rate: 5.873E-05 | global batch size: 256 | lm loss: 2.547276E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.840 | TFLOPs: 22.37 | 31: iteration 16150/ 23189 | consumed samples: 4134400 | consumed tokens: 8467251200 | elapsed time per iteration (s): 0.74 | learning rate: 5.862E-05 | global batch size: 256 | lm loss: 2.541878E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.734 | TFLOPs: 20.98 | 31: iteration 16160/ 23189 | consumed samples: 4136960 | consumed tokens: 8472494080 | elapsed time per iteration (s): 0.72 | learning rate: 5.852E-05 | global batch size: 256 | lm loss: 2.529359E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.446 | TFLOPs: 21.62 | 31: iteration 16170/ 23189 | consumed samples: 4139520 | consumed tokens: 8477736960 | elapsed time per iteration (s): 0.71 | learning rate: 5.842E-05 | global batch size: 256 | lm loss: 2.528151E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.656 | TFLOPs: 21.94 | 31: iteration 16180/ 23189 | consumed samples: 4142080 | consumed tokens: 8482979840 | elapsed time per iteration (s): 0.70 | learning rate: 5.832E-05 | global batch size: 256 | lm loss: 2.541448E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.359 | TFLOPs: 22.22 | 31: iteration 16190/ 23189 | consumed samples: 4144640 | consumed tokens: 8488222720 | elapsed time per iteration (s): 0.72 | learning rate: 5.822E-05 | global batch size: 256 | lm loss: 2.538339E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.240 | TFLOPs: 21.55 | 31: iteration 16200/ 23189 | consumed samples: 4147200 | consumed tokens: 8493465600 | elapsed time per iteration (s): 0.71 | learning rate: 5.812E-05 | global batch size: 256 | lm loss: 2.555453E+00 | grad norm: 0.408 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.941 | TFLOPs: 21.71 | 31: iteration 16210/ 23189 | consumed samples: 4149760 | consumed tokens: 8498708480 | elapsed time per iteration (s): 0.71 | learning rate: 5.802E-05 | global batch size: 256 | lm loss: 2.544840E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.886 | TFLOPs: 21.89 | 31: iteration 16220/ 23189 | consumed samples: 4152320 | consumed tokens: 8503951360 | elapsed time per iteration (s): 0.72 | learning rate: 5.792E-05 | global batch size: 256 | lm loss: 2.539378E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.296 | TFLOPs: 21.62 | 31: iteration 16230/ 23189 | consumed samples: 4154880 | consumed tokens: 8509194240 | elapsed time per iteration (s): 0.76 | learning rate: 5.782E-05 | global batch size: 256 | lm loss: 2.527979E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.746 | TFLOPs: 20.43 | 31: iteration 16240/ 23189 | consumed samples: 4157440 | consumed tokens: 8514437120 | elapsed time per iteration (s): 0.74 | learning rate: 5.772E-05 | global batch size: 256 | lm loss: 2.546809E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.116 | TFLOPs: 20.94 | 31: iteration 16250/ 23189 | consumed samples: 4160000 | consumed tokens: 8519680000 | elapsed time per iteration (s): 0.75 | learning rate: 5.762E-05 | global batch size: 256 | lm loss: 2.540586E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.030 | TFLOPs: 20.63 | 31: iteration 16260/ 23189 | consumed samples: 4162560 | consumed tokens: 8524922880 | elapsed time per iteration (s): 0.71 | learning rate: 5.752E-05 | global batch size: 256 | lm loss: 2.529191E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.644 | TFLOPs: 21.82 | 31: iteration 16270/ 23189 | consumed samples: 4165120 | consumed tokens: 8530165760 | elapsed time per iteration (s): 0.74 | learning rate: 5.742E-05 | global batch size: 256 | lm loss: 2.540909E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.601 | TFLOPs: 20.97 | 31: iteration 16280/ 23189 | consumed samples: 4167680 | consumed tokens: 8535408640 | elapsed time per iteration (s): 0.76 | learning rate: 5.732E-05 | global batch size: 256 | lm loss: 2.535089E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.623 | TFLOPs: 20.49 | 31: iteration 16290/ 23189 | consumed samples: 4170240 | consumed tokens: 8540651520 | elapsed time per iteration (s): 0.75 | learning rate: 5.722E-05 | global batch size: 256 | lm loss: 2.532261E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.305 | TFLOPs: 20.59 | 31: iteration 16300/ 23189 | consumed samples: 4172800 | consumed tokens: 8545894400 | elapsed time per iteration (s): 0.77 | learning rate: 5.712E-05 | global batch size: 256 | lm loss: 2.529733E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.364 | TFLOPs: 20.11 | 31: iteration 16310/ 23189 | consumed samples: 4175360 | consumed tokens: 8551137280 | elapsed time per iteration (s): 0.71 | learning rate: 5.702E-05 | global batch size: 256 | lm loss: 2.514435E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.794 | TFLOPs: 21.95 | 31: iteration 16320/ 23189 | consumed samples: 4177920 | consumed tokens: 8556380160 | elapsed time per iteration (s): 0.73 | learning rate: 5.692E-05 | global batch size: 256 | lm loss: 2.526979E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.394 | TFLOPs: 21.08 | 31: iteration 16330/ 23189 | consumed samples: 4180480 | consumed tokens: 8561623040 | elapsed time per iteration (s): 0.72 | learning rate: 5.682E-05 | global batch size: 256 | lm loss: 2.538283E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.067 | TFLOPs: 21.60 | 31: iteration 16340/ 23189 | consumed samples: 4183040 | consumed tokens: 8566865920 | elapsed time per iteration (s): 0.73 | learning rate: 5.672E-05 | global batch size: 256 | lm loss: 2.534187E+00 | grad norm: 0.406 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.793 | TFLOPs: 21.22 | 31: iteration 16350/ 23189 | consumed samples: 4185600 | consumed tokens: 8572108800 | elapsed time per iteration (s): 0.74 | learning rate: 5.662E-05 | global batch size: 256 | lm loss: 2.535275E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.689 | TFLOPs: 20.85 | 31: iteration 16360/ 23189 | consumed samples: 4188160 | consumed tokens: 8577351680 | elapsed time per iteration (s): 0.69 | learning rate: 5.652E-05 | global batch size: 256 | lm loss: 2.528090E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.377 | TFLOPs: 22.29 | 31: iteration 16370/ 23189 | consumed samples: 4190720 | consumed tokens: 8582594560 | elapsed time per iteration (s): 0.72 | learning rate: 5.642E-05 | global batch size: 256 | lm loss: 2.530445E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.090 | TFLOPs: 21.48 | 31: iteration 16380/ 23189 | consumed samples: 4193280 | consumed tokens: 8587837440 | elapsed time per iteration (s): 0.70 | learning rate: 5.632E-05 | global batch size: 256 | lm loss: 2.539622E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.222 | TFLOPs: 22.28 | 31: iteration 16390/ 23189 | consumed samples: 4195840 | consumed tokens: 8593080320 | elapsed time per iteration (s): 0.71 | learning rate: 5.623E-05 | global batch size: 256 | lm loss: 2.523525E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.341 | TFLOPs: 21.86 | 31: iteration 16400/ 23189 | consumed samples: 4198400 | consumed tokens: 8598323200 | elapsed time per iteration (s): 0.70 | learning rate: 5.613E-05 | global batch size: 256 | lm loss: 2.533187E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.756 | TFLOPs: 22.19 | 31: iteration 16410/ 23189 | consumed samples: 4200960 | consumed tokens: 8603566080 | elapsed time per iteration (s): 0.70 | learning rate: 5.603E-05 | global batch size: 256 | lm loss: 2.526545E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.013 | TFLOPs: 22.08 | 31: iteration 16420/ 23189 | consumed samples: 4203520 | consumed tokens: 8608808960 | elapsed time per iteration (s): 0.69 | learning rate: 5.593E-05 | global batch size: 256 | lm loss: 2.521110E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.476 | TFLOPs: 22.29 | 31: iteration 16430/ 23189 | consumed samples: 4206080 | consumed tokens: 8614051840 | elapsed time per iteration (s): 0.68 | learning rate: 5.583E-05 | global batch size: 256 | lm loss: 2.522251E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.696 | TFLOPs: 22.73 | 31: iteration 16440/ 23189 | consumed samples: 4208640 | consumed tokens: 8619294720 | elapsed time per iteration (s): 0.69 | learning rate: 5.573E-05 | global batch size: 256 | lm loss: 2.534064E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.416 | TFLOPs: 22.35 | 31: iteration 16450/ 23189 | consumed samples: 4211200 | consumed tokens: 8624537600 | elapsed time per iteration (s): 0.76 | learning rate: 5.564E-05 | global batch size: 256 | lm loss: 2.523860E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.854 | TFLOPs: 20.38 | 31: iteration 16460/ 23189 | consumed samples: 4213760 | consumed tokens: 8629780480 | elapsed time per iteration (s): 0.73 | learning rate: 5.554E-05 | global batch size: 256 | lm loss: 2.541973E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.649 | TFLOPs: 21.15 | 31: iteration 16470/ 23189 | consumed samples: 4216320 | consumed tokens: 8635023360 | elapsed time per iteration (s): 0.80 | learning rate: 5.544E-05 | global batch size: 256 | lm loss: 2.532099E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.852 | TFLOPs: 19.41 | 31: iteration 16480/ 23189 | consumed samples: 4218880 | consumed tokens: 8640266240 | elapsed time per iteration (s): 0.73 | learning rate: 5.534E-05 | global batch size: 256 | lm loss: 2.524140E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.355 | TFLOPs: 21.07 | 31: iteration 16490/ 23189 | consumed samples: 4221440 | consumed tokens: 8645509120 | elapsed time per iteration (s): 0.74 | learning rate: 5.524E-05 | global batch size: 256 | lm loss: 2.515319E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.933 | TFLOPs: 20.99 | 31: iteration 16500/ 23189 | consumed samples: 4224000 | consumed tokens: 8650752000 | elapsed time per iteration (s): 0.74 | learning rate: 5.515E-05 | global batch size: 256 | lm loss: 2.530754E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.399 | TFLOPs: 20.90 | 31: iteration 16510/ 23189 | consumed samples: 4226560 | consumed tokens: 8655994880 | elapsed time per iteration (s): 0.73 | learning rate: 5.505E-05 | global batch size: 256 | lm loss: 2.530335E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.703 | TFLOPs: 21.34 | 31: iteration 16520/ 23189 | consumed samples: 4229120 | consumed tokens: 8661237760 | elapsed time per iteration (s): 0.70 | learning rate: 5.495E-05 | global batch size: 256 | lm loss: 2.525088E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.019 | TFLOPs: 22.26 | 31: iteration 16530/ 23189 | consumed samples: 4231680 | consumed tokens: 8666480640 | elapsed time per iteration (s): 0.71 | learning rate: 5.485E-05 | global batch size: 256 | lm loss: 2.536204E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.422 | TFLOPs: 21.93 | 31: iteration 16540/ 23189 | consumed samples: 4234240 | consumed tokens: 8671723520 | elapsed time per iteration (s): 0.69 | learning rate: 5.476E-05 | global batch size: 256 | lm loss: 2.532044E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.499 | TFLOPs: 22.41 | 31: 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samples per second: 372.932 | TFLOPs: 22.56 | 31: iteration 16580/ 23189 | consumed samples: 4244480 | consumed tokens: 8692695040 | elapsed time per iteration (s): 0.72 | learning rate: 5.437E-05 | global batch size: 256 | lm loss: 2.534915E+00 | grad norm: 0.323 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.884 | TFLOPs: 21.53 | 31: iteration 16590/ 23189 | consumed samples: 4247040 | consumed tokens: 8697937920 | elapsed time per iteration (s): 0.70 | learning rate: 5.427E-05 | global batch size: 256 | lm loss: 2.523008E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.393 | TFLOPs: 22.11 | 31: iteration 16600/ 23189 | consumed samples: 4249600 | consumed tokens: 8703180800 | elapsed time per iteration (s): 0.73 | learning rate: 5.417E-05 | global batch size: 256 | lm loss: 2.523405E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.060 | TFLOPs: 21.36 | 31: iteration 16610/ 23189 | consumed samples: 4252160 | consumed tokens: 8708423680 | elapsed time per iteration (s): 0.70 | learning rate: 5.408E-05 | global batch size: 256 | lm loss: 2.518175E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.937 | TFLOPs: 22.08 | 31: iteration 16620/ 23189 | consumed samples: 4254720 | consumed tokens: 8713666560 | elapsed time per iteration (s): 0.70 | learning rate: 5.398E-05 | global batch size: 256 | lm loss: 2.524016E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.423 | TFLOPs: 22.17 | 31: iteration 16630/ 23189 | consumed samples: 4257280 | consumed tokens: 8718909440 | elapsed time per iteration (s): 0.71 | learning rate: 5.389E-05 | global batch size: 256 | lm loss: 2.529978E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.135 | TFLOPs: 21.73 | 31: iteration 16640/ 23189 | consumed samples: 4259840 | consumed tokens: 8724152320 | elapsed time per iteration (s): 0.72 | learning rate: 5.379E-05 | global batch size: 256 | lm loss: 2.530255E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.580 | TFLOPs: 21.45 | 31: iteration 16650/ 23189 | consumed samples: 4262400 | consumed tokens: 8729395200 | elapsed time per iteration (s): 0.68 | learning rate: 5.369E-05 | global batch size: 256 | lm loss: 2.518335E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.479 | TFLOPs: 22.66 | 31: iteration 16660/ 23189 | consumed samples: 4264960 | consumed tokens: 8734638080 | elapsed time per iteration (s): 0.70 | learning rate: 5.360E-05 | global batch size: 256 | lm loss: 2.511765E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.056 | TFLOPs: 22.08 | 31: iteration 16670/ 23189 | consumed samples: 4267520 | consumed tokens: 8739880960 | elapsed time per iteration (s): 0.75 | learning rate: 5.350E-05 | global batch size: 256 | lm loss: 2.529568E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.699 | TFLOPs: 20.61 | 31: iteration 16680/ 23189 | consumed samples: 4270080 | consumed tokens: 8745123840 | elapsed time per iteration (s): 0.74 | learning rate: 5.340E-05 | global batch size: 256 | lm loss: 2.524710E+00 | grad norm: 0.324 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.690 | TFLOPs: 21.03 | 31: iteration 16690/ 23189 | consumed samples: 4272640 | consumed tokens: 8750366720 | elapsed time per iteration (s): 0.74 | learning rate: 5.331E-05 | global batch size: 256 | lm loss: 2.523039E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.544 | TFLOPs: 20.90 | 31: iteration 16700/ 23189 | consumed samples: 4275200 | consumed tokens: 8755609600 | elapsed time per iteration (s): 0.70 | learning rate: 5.321E-05 | global batch size: 256 | lm loss: 2.531652E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.226 | TFLOPs: 22.22 | 31: iteration 16710/ 23189 | consumed samples: 4277760 | consumed tokens: 8760852480 | elapsed time per iteration (s): 0.70 | learning rate: 5.312E-05 | global batch size: 256 | lm loss: 2.517208E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.562 | TFLOPs: 22.12 | 31: iteration 16720/ 23189 | consumed samples: 4280320 | consumed tokens: 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consumed samples: 4288000 | consumed tokens: 8781824000 | elapsed time per iteration (s): 0.69 | learning rate: 5.274E-05 | global batch size: 256 | lm loss: 2.515253E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.932 | TFLOPs: 22.38 | 31: iteration 16760/ 23189 | consumed samples: 4290560 | consumed tokens: 8787066880 | elapsed time per iteration (s): 0.70 | learning rate: 5.264E-05 | global batch size: 256 | lm loss: 2.520080E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.126 | TFLOPs: 22.27 | 31: iteration 16770/ 23189 | consumed samples: 4293120 | consumed tokens: 8792309760 | elapsed time per iteration (s): 0.69 | learning rate: 5.255E-05 | global batch size: 256 | lm loss: 2.524682E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.993 | TFLOPs: 22.32 | 31: iteration 16780/ 23189 | consumed samples: 4295680 | consumed tokens: 8797552640 | elapsed time per iteration (s): 0.68 | learning rate: 5.245E-05 | global batch size: 256 | lm loss: 2.515425E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.626 | TFLOPs: 22.66 | 31: iteration 16790/ 23189 | consumed samples: 4298240 | consumed tokens: 8802795520 | elapsed time per iteration (s): 0.71 | learning rate: 5.236E-05 | global batch size: 256 | lm loss: 2.522476E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.144 | TFLOPs: 21.91 | 31: iteration 16800/ 23189 | consumed samples: 4300800 | consumed tokens: 8808038400 | elapsed time per iteration (s): 0.72 | learning rate: 5.226E-05 | global batch size: 256 | lm loss: 2.514465E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.815 | TFLOPs: 21.59 | 31: iteration 16810/ 23189 | consumed samples: 4303360 | consumed tokens: 8813281280 | elapsed time per iteration (s): 0.70 | learning rate: 5.217E-05 | global batch size: 256 | lm loss: 2.515703E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.882 | TFLOPs: 22.01 | 31: iteration 16820/ 23189 | consumed samples: 4305920 | consumed tokens: 8818524160 | elapsed time per iteration (s): 0.73 | learning rate: 5.207E-05 | global batch size: 256 | lm loss: 2.508616E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.407 | TFLOPs: 21.20 | 31: iteration 16830/ 23189 | consumed samples: 4308480 | consumed tokens: 8823767040 | elapsed time per iteration (s): 0.69 | learning rate: 5.198E-05 | global batch size: 256 | lm loss: 2.505143E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.603 | TFLOPs: 22.42 | 31: iteration 16840/ 23189 | consumed samples: 4311040 | consumed tokens: 8829009920 | elapsed time per iteration (s): 0.71 | learning rate: 5.189E-05 | global batch size: 256 | lm loss: 2.520592E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.176 | TFLOPs: 21.85 | 31: iteration 16850/ 23189 | consumed samples: 4313600 | consumed tokens: 8834252800 | elapsed time per iteration (s): 0.78 | learning rate: 5.179E-05 | global batch size: 256 | lm loss: 2.522411E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.892 | TFLOPs: 19.90 | 31: iteration 16860/ 23189 | consumed samples: 4316160 | consumed tokens: 8839495680 | elapsed time per iteration (s): 0.70 | learning rate: 5.170E-05 | global batch size: 256 | lm loss: 2.527504E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.535 | TFLOPs: 22.05 | 31: iteration 16870/ 23189 | consumed samples: 4318720 | consumed tokens: 8844738560 | elapsed time per iteration (s): 0.71 | learning rate: 5.160E-05 | global batch size: 256 | lm loss: 2.515305E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.737 | TFLOPs: 21.88 | 31: iteration 16880/ 23189 | consumed samples: 4321280 | consumed tokens: 8849981440 | elapsed time per iteration (s): 0.71 | learning rate: 5.151E-05 | global batch size: 256 | lm loss: 2.510490E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.715 | TFLOPs: 21.82 | 31: iteration 16890/ 23189 | consumed samples: 4323840 | consumed tokens: 8855224320 | elapsed time per iteration (s): 0.71 | learning rate: 5.142E-05 | global batch size: 256 | lm loss: 2.509249E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.637 | TFLOPs: 21.70 | 31: iteration 16900/ 23189 | consumed samples: 4326400 | consumed tokens: 8860467200 | elapsed time per iteration (s): 0.68 | learning rate: 5.132E-05 | global batch size: 256 | lm loss: 2.529186E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.408 | TFLOPs: 22.77 | 31: iteration 16910/ 23189 | consumed samples: 4328960 | consumed tokens: 8865710080 | elapsed time per iteration (s): 0.70 | learning rate: 5.123E-05 | global batch size: 256 | lm loss: 2.524685E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.030 | TFLOPs: 22.20 | 31: iteration 16920/ 23189 | consumed samples: 4331520 | consumed tokens: 8870952960 | elapsed time per iteration (s): 0.69 | learning rate: 5.114E-05 | global batch size: 256 | lm loss: 2.516996E+00 | grad norm: 0.325 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.688 | TFLOPs: 22.37 | 31: iteration 16930/ 23189 | consumed samples: 4334080 | consumed tokens: 8876195840 | elapsed time per iteration (s): 0.72 | learning rate: 5.104E-05 | global batch size: 256 | lm loss: 2.526421E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.548 | TFLOPs: 21.45 | 31: iteration 16940/ 23189 | consumed samples: 4336640 | consumed tokens: 8881438720 | elapsed time per iteration (s): 0.69 | learning rate: 5.095E-05 | global batch size: 256 | lm loss: 2.509444E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.518 | TFLOPs: 22.60 | 31: iteration 16950/ 23189 | consumed samples: 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iteration 16980/ 23189 | consumed samples: 4346880 | consumed tokens: 8902410240 | elapsed time per iteration (s): 0.69 | learning rate: 5.058E-05 | global batch size: 256 | lm loss: 2.510739E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.425 | TFLOPs: 22.47 | 31: iteration 16990/ 23189 | consumed samples: 4349440 | consumed tokens: 8907653120 | elapsed time per iteration (s): 0.70 | learning rate: 5.049E-05 | global batch size: 256 | lm loss: 2.504805E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.058 | TFLOPs: 22.21 | 31: iteration 17000/ 23189 | consumed samples: 4352000 | consumed tokens: 8912896000 | elapsed time per iteration (s): 0.71 | learning rate: 5.040E-05 | global batch size: 256 | lm loss: 2.520357E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.035 | TFLOPs: 21.96 | 31: iteration 17010/ 23189 | consumed samples: 4354560 | consumed tokens: 8918138880 | elapsed time per iteration (s): 0.69 | learning rate: 5.030E-05 | global batch size: 256 | lm loss: 2.515507E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.301 | TFLOPs: 22.52 | 31: iteration 17020/ 23189 | consumed samples: 4357120 | consumed tokens: 8923381760 | elapsed time per iteration (s): 0.73 | learning rate: 5.021E-05 | global batch size: 256 | lm loss: 2.508956E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.547 | TFLOPs: 21.21 | 31: iteration 17030/ 23189 | consumed samples: 4359680 | consumed tokens: 8928624640 | elapsed time per iteration (s): 0.76 | learning rate: 5.012E-05 | global batch size: 256 | lm loss: 2.510183E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.759 | TFLOPs: 20.43 | 31: iteration 17040/ 23189 | consumed samples: 4362240 | consumed tokens: 8933867520 | elapsed time per iteration (s): 0.75 | learning rate: 5.003E-05 | global batch size: 256 | lm loss: 2.512295E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.270 | TFLOPs: 20.77 | 31: iteration 17050/ 23189 | consumed samples: 4364800 | consumed tokens: 8939110400 | elapsed time per iteration (s): 0.77 | learning rate: 4.994E-05 | global batch size: 256 | lm loss: 2.515760E+00 | grad norm: 0.326 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.754 | TFLOPs: 20.01 | 31: iteration 17060/ 23189 | consumed samples: 4367360 | consumed tokens: 8944353280 | elapsed time per iteration (s): 0.74 | learning rate: 4.984E-05 | global batch size: 256 | lm loss: 2.514354E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.140 | TFLOPs: 20.94 | 31: iteration 17070/ 23189 | consumed samples: 4369920 | consumed tokens: 8949596160 | elapsed time per iteration (s): 0.79 | learning rate: 4.975E-05 | global batch size: 256 | lm loss: 2.518720E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.598 | TFLOPs: 19.64 | 31: iteration 17080/ 23189 | consumed samples: 4372480 | consumed tokens: 8954839040 | elapsed time per iteration (s): 0.81 | learning rate: 4.966E-05 | global batch size: 256 | lm loss: 2.513943E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.665 | TFLOPs: 19.16 | 31: iteration 17090/ 23189 | consumed samples: 4375040 | consumed tokens: 8960081920 | elapsed time per iteration (s): 0.83 | learning rate: 4.957E-05 | global batch size: 256 | lm loss: 2.514312E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.158 | TFLOPs: 18.58 | 31: iteration 17100/ 23189 | consumed samples: 4377600 | consumed tokens: 8965324800 | elapsed time per iteration (s): 0.83 | learning rate: 4.948E-05 | global batch size: 256 | lm loss: 2.517166E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 309.861 | TFLOPs: 18.75 | 31: iteration 17110/ 23189 | consumed samples: 4380160 | consumed tokens: 8970567680 | elapsed time per iteration (s): 0.72 | learning rate: 4.939E-05 | global batch size: 256 | lm loss: 2.505976E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.366 | TFLOPs: 21.56 | 31: iteration 17120/ 23189 | consumed samples: 4382720 | consumed tokens: 8975810560 | elapsed time per iteration (s): 0.73 | learning rate: 4.930E-05 | global batch size: 256 | lm loss: 2.505548E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.365 | TFLOPs: 21.20 | 31: iteration 17130/ 23189 | consumed samples: 4385280 | consumed tokens: 8981053440 | elapsed time per iteration (s): 0.77 | learning rate: 4.921E-05 | global batch size: 256 | lm loss: 2.511359E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.636 | TFLOPs: 20.00 | 31: iteration 17140/ 23189 | consumed samples: 4387840 | consumed tokens: 8986296320 | elapsed time per iteration (s): 0.82 | learning rate: 4.911E-05 | global batch size: 256 | lm loss: 2.515591E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 311.831 | TFLOPs: 18.87 | 31: iteration 17150/ 23189 | consumed samples: 4390400 | consumed tokens: 8991539200 | elapsed time per iteration (s): 0.70 | learning rate: 4.902E-05 | global batch size: 256 | lm loss: 2.515336E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.253 | TFLOPs: 22.04 | 31: iteration 17160/ 23189 | consumed samples: 4392960 | consumed tokens: 8996782080 | elapsed time per iteration (s): 0.76 | learning rate: 4.893E-05 | global batch size: 256 | lm loss: 2.510548E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.216 | TFLOPs: 20.28 | 31: iteration 17170/ 23189 | consumed samples: 4395520 | consumed tokens: 9002024960 | elapsed time per iteration (s): 0.76 | learning rate: 4.884E-05 | global batch size: 256 | lm loss: 2.505713E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.785 | TFLOPs: 20.25 | 31: iteration 17180/ 23189 | consumed samples: 4398080 | consumed tokens: 9007267840 | elapsed time per iteration (s): 0.70 | learning rate: 4.875E-05 | global batch size: 256 | lm loss: 2.508834E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.072 | TFLOPs: 22.03 | 31: iteration 17190/ 23189 | consumed samples: 4400640 | consumed tokens: 9012510720 | elapsed time per iteration (s): 0.70 | learning rate: 4.866E-05 | global batch size: 256 | lm loss: 2.493183E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.725 | TFLOPs: 22.06 | 31: iteration 17200/ 23189 | consumed samples: 4403200 | consumed tokens: 9017753600 | elapsed time per iteration (s): 0.74 | learning rate: 4.857E-05 | global batch size: 256 | lm loss: 2.506718E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.399 | TFLOPs: 20.90 | 31: iteration 17210/ 23189 | consumed samples: 4405760 | consumed tokens: 9022996480 | elapsed time per iteration (s): 0.80 | learning rate: 4.848E-05 | global batch size: 256 | lm loss: 2.503101E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 318.037 | TFLOPs: 19.24 | 31: iteration 17220/ 23189 | consumed samples: 4408320 | consumed tokens: 9028239360 | elapsed time per iteration (s): 0.73 | learning rate: 4.839E-05 | global batch size: 256 | lm loss: 2.510759E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.499 | TFLOPs: 21.33 | 31: iteration 17230/ 23189 | consumed samples: 4410880 | consumed tokens: 9033482240 | elapsed time per iteration (s): 0.69 | learning rate: 4.830E-05 | global batch size: 256 | lm loss: 2.514815E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.760 | TFLOPs: 22.31 | 31: iteration 17240/ 23189 | consumed samples: 4413440 | consumed tokens: 9038725120 | elapsed time per iteration (s): 0.72 | learning rate: 4.821E-05 | global batch size: 256 | lm loss: 2.498510E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.112 | TFLOPs: 21.36 | 31: iteration 17250/ 23189 | consumed samples: 4416000 | consumed tokens: 9043968000 | elapsed time per iteration (s): 0.71 | learning rate: 4.812E-05 | global batch size: 256 | lm loss: 2.506883E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.890 | TFLOPs: 21.77 | 31: iteration 17260/ 23189 | consumed samples: 4418560 | consumed tokens: 9049210880 | elapsed time per iteration (s): 0.73 | learning rate: 4.803E-05 | global batch size: 256 | lm loss: 2.510034E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.783 | TFLOPs: 21.28 | 31: iteration 17270/ 23189 | consumed samples: 4421120 | consumed tokens: 9054453760 | elapsed time per iteration (s): 0.74 | learning rate: 4.795E-05 | global batch size: 256 | lm loss: 2.491437E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.725 | TFLOPs: 20.86 | 31: iteration 17280/ 23189 | consumed samples: 4423680 | consumed tokens: 9059696640 | elapsed time per iteration (s): 0.71 | learning rate: 4.786E-05 | global batch size: 256 | lm loss: 2.516512E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.281 | TFLOPs: 21.86 | 31: iteration 17290/ 23189 | consumed samples: 4426240 | consumed tokens: 9064939520 | elapsed time per iteration (s): 0.72 | learning rate: 4.777E-05 | global batch size: 256 | lm loss: 2.509251E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.857 | TFLOPs: 21.59 | 31: iteration 17300/ 23189 | consumed samples: 4428800 | consumed tokens: 9070182400 | elapsed time per iteration (s): 0.71 | learning rate: 4.768E-05 | global batch size: 256 | lm loss: 2.512585E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.749 | TFLOPs: 21.95 | 31: iteration 17310/ 23189 | consumed samples: 4431360 | consumed tokens: 9075425280 | elapsed time per iteration (s): 0.73 | learning rate: 4.759E-05 | global batch size: 256 | lm loss: 2.506013E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.462 | TFLOPs: 21.32 | 31: iteration 17320/ 23189 | consumed samples: 4433920 | consumed tokens: 9080668160 | elapsed time per iteration (s): 0.69 | learning rate: 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iteration 17410/ 23189 | consumed samples: 4456960 | consumed tokens: 9127854080 | elapsed time per iteration (s): 0.70 | learning rate: 4.671E-05 | global batch size: 256 | lm loss: 2.499964E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.443 | TFLOPs: 22.05 | 31: iteration 17420/ 23189 | consumed samples: 4459520 | consumed tokens: 9133096960 | elapsed time per iteration (s): 0.72 | learning rate: 4.662E-05 | global batch size: 256 | lm loss: 2.500475E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.059 | TFLOPs: 21.42 | 31: iteration 17430/ 23189 | consumed samples: 4462080 | consumed tokens: 9138339840 | elapsed time per iteration (s): 0.70 | learning rate: 4.653E-05 | global batch size: 256 | lm loss: 2.494825E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.993 | TFLOPs: 22.26 | 31: iteration 17440/ 23189 | consumed samples: 4464640 | consumed tokens: 9143582720 | elapsed time per iteration (s): 0.74 | learning rate: 4.645E-05 | global batch size: 256 | lm loss: 2.499847E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.984 | TFLOPs: 20.99 | 31: iteration 17450/ 23189 | consumed samples: 4467200 | consumed tokens: 9148825600 | elapsed time per iteration (s): 0.72 | learning rate: 4.636E-05 | global batch size: 256 | lm loss: 2.480265E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.380 | TFLOPs: 21.38 | 31: iteration 17460/ 23189 | consumed samples: 4469760 | consumed tokens: 9154068480 | elapsed time per iteration (s): 0.71 | learning rate: 4.627E-05 | global batch size: 256 | lm loss: 2.500860E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.444 | TFLOPs: 21.93 | 31: iteration 17470/ 23189 | consumed samples: 4472320 | consumed tokens: 9159311360 | elapsed time per iteration (s): 0.73 | learning rate: 4.618E-05 | global batch size: 256 | lm loss: 2.494907E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.968 | TFLOPs: 21.11 | 31: iteration 17480/ 23189 | consumed samples: 4474880 | consumed tokens: 9164554240 | elapsed time per iteration (s): 0.71 | learning rate: 4.610E-05 | global batch size: 256 | lm loss: 2.484598E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.279 | TFLOPs: 21.86 | 31: iteration 17490/ 23189 | consumed samples: 4477440 | consumed tokens: 9169797120 | elapsed time per iteration (s): 0.77 | learning rate: 4.601E-05 | global batch size: 256 | lm loss: 2.493380E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.239 | TFLOPs: 20.04 | 31: iteration 17500/ 23189 | consumed samples: 4480000 | consumed tokens: 9175040000 | elapsed time per iteration (s): 0.70 | learning rate: 4.592E-05 | global batch size: 256 | lm loss: 2.502628E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.779 | TFLOPs: 22.01 | 31: iteration 17510/ 23189 | consumed samples: 4482560 | consumed tokens: 9180282880 | elapsed time per iteration (s): 0.75 | learning rate: 4.584E-05 | global batch size: 256 | lm loss: 2.492032E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.599 | TFLOPs: 20.79 | 31: iteration 17520/ 23189 | consumed samples: 4485120 | consumed tokens: 9185525760 | elapsed time per iteration (s): 0.70 | learning rate: 4.575E-05 | global batch size: 256 | lm loss: 2.482281E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.309 | TFLOPs: 22.04 | 31: iteration 17530/ 23189 | consumed samples: 4487680 | consumed tokens: 9190768640 | elapsed time per iteration (s): 0.69 | learning rate: 4.567E-05 | global batch size: 256 | lm loss: 2.484101E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.942 | TFLOPs: 22.50 | 31: iteration 17540/ 23189 | consumed samples: 4490240 | consumed tokens: 9196011520 | elapsed time per iteration (s): 0.70 | learning rate: 4.558E-05 | global batch size: 256 | lm loss: 2.510550E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.024 | TFLOPs: 22.02 | 31: iteration 17550/ 23189 | consumed samples: 4492800 | consumed tokens: 9201254400 | elapsed time per iteration (s): 0.69 | learning rate: 4.549E-05 | global batch size: 256 | lm loss: 2.490773E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.691 | TFLOPs: 22.61 | 31: iteration 17560/ 23189 | consumed samples: 4495360 | consumed tokens: 9206497280 | elapsed time per iteration (s): 0.70 | learning rate: 4.541E-05 | global batch size: 256 | lm loss: 2.504725E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.104 | TFLOPs: 22.21 | 31: iteration 17570/ 23189 | consumed samples: 4497920 | consumed tokens: 9211740160 | elapsed time per iteration (s): 0.71 | learning rate: 4.532E-05 | global batch size: 256 | lm loss: 2.500737E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.246 | TFLOPs: 21.79 | 31: iteration 17580/ 23189 | consumed samples: 4500480 | consumed tokens: 9216983040 | elapsed time per iteration (s): 0.75 | learning rate: 4.524E-05 | global batch size: 256 | lm loss: 2.481804E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.596 | TFLOPs: 20.79 | 31: iteration 17590/ 23189 | consumed samples: 4503040 | consumed tokens: 9222225920 | elapsed time per iteration (s): 0.72 | learning rate: 4.515E-05 | global batch size: 256 | lm loss: 2.496237E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.125 | TFLOPs: 21.42 | 31: iteration 17600/ 23189 | consumed samples: 4505600 | consumed tokens: 9227468800 | elapsed time per iteration (s): 0.71 | learning rate: 4.507E-05 | global batch size: 256 | lm loss: 2.483554E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.628 | TFLOPs: 21.94 | 31: iteration 17610/ 23189 | consumed samples: 4508160 | consumed tokens: 9232711680 | elapsed time per iteration (s): 0.69 | learning rate: 4.498E-05 | global batch size: 256 | lm loss: 2.509196E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.293 | TFLOPs: 22.52 | 31: iteration 17620/ 23189 | consumed samples: 4510720 | consumed tokens: 9237954560 | elapsed time per iteration (s): 0.74 | learning rate: 4.490E-05 | global batch size: 256 | lm loss: 2.487663E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.699 | TFLOPs: 20.97 | 31: iteration 17630/ 23189 | consumed samples: 4513280 | consumed tokens: 9243197440 | elapsed time per iteration (s): 0.69 | learning rate: 4.481E-05 | global batch size: 256 | lm loss: 2.497320E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.847 | TFLOPs: 22.37 | 31: iteration 17640/ 23189 | consumed samples: 4515840 | consumed tokens: 9248440320 | elapsed time per iteration (s): 0.69 | learning rate: 4.473E-05 | global batch size: 256 | lm loss: 2.486007E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.260 | TFLOPs: 22.46 | 31: iteration 17650/ 23189 | consumed samples: 4518400 | consumed tokens: 9253683200 | elapsed time per iteration (s): 0.69 | learning rate: 4.464E-05 | global batch size: 256 | lm loss: 2.491309E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.484 | TFLOPs: 22.29 | 31: iteration 17660/ 23189 | consumed samples: 4520960 | consumed tokens: 9258926080 | elapsed time per iteration (s): 0.72 | learning rate: 4.456E-05 | global batch size: 256 | lm loss: 2.500995E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.405 | TFLOPs: 21.56 | 31: iteration 17670/ 23189 | consumed samples: 4523520 | consumed tokens: 9264168960 | elapsed time per iteration (s): 0.70 | learning rate: 4.447E-05 | global batch size: 256 | lm loss: 2.503993E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.794 | TFLOPs: 22.13 | 31: iteration 17680/ 23189 | consumed samples: 4526080 | consumed tokens: 9269411840 | elapsed time per iteration (s): 0.73 | learning rate: 4.439E-05 | global batch size: 256 | lm loss: 2.497260E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.621 | TFLOPs: 21.09 | 31: iteration 17690/ 23189 | consumed samples: 4528640 | consumed tokens: 9274654720 | elapsed time per iteration (s): 0.70 | learning rate: 4.430E-05 | global batch size: 256 | lm loss: 2.490615E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.565 | TFLOPs: 21.99 | 31: iteration 17700/ 23189 | consumed samples: 4531200 | consumed tokens: 9279897600 | elapsed time per iteration (s): 0.70 | learning rate: 4.422E-05 | global batch size: 256 | lm loss: 2.500750E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.104 | TFLOPs: 22.09 | 31: iteration 17710/ 23189 | consumed samples: 4533760 | consumed tokens: 9285140480 | elapsed time per iteration (s): 0.68 | learning rate: 4.414E-05 | global batch size: 256 | lm loss: 2.488158E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.472 | TFLOPs: 22.78 | 31: iteration 17720/ 23189 | consumed samples: 4536320 | consumed tokens: 9290383360 | elapsed time per iteration (s): 0.70 | learning rate: 4.405E-05 | global batch size: 256 | lm loss: 2.488330E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.686 | TFLOPs: 22.12 | 31: iteration 17730/ 23189 | consumed samples: 4538880 | consumed tokens: 9295626240 | elapsed time per iteration (s): 0.71 | learning rate: 4.397E-05 | global batch size: 256 | lm loss: 2.489114E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.414 | TFLOPs: 21.68 | 31: iteration 17740/ 23189 | consumed samples: 4541440 | consumed tokens: 9300869120 | elapsed time per iteration (s): 0.72 | learning rate: 4.388E-05 | global batch size: 256 | lm loss: 2.495480E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.140 | TFLOPs: 21.55 | 31: iteration 17750/ 23189 | consumed samples: 4544000 | consumed tokens: 9306112000 | elapsed time per iteration (s): 0.69 | learning rate: 4.380E-05 | global batch size: 256 | lm loss: 2.486536E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.055 | TFLOPs: 22.39 | 31: iteration 17760/ 23189 | consumed samples: 4546560 | consumed tokens: 9311354880 | elapsed time per iteration (s): 0.69 | learning rate: 4.372E-05 | global batch size: 256 | lm loss: 2.487263E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.633 | TFLOPs: 22.42 | 31: iteration 17770/ 23189 | consumed samples: 4549120 | consumed tokens: 9316597760 | elapsed time per iteration (s): 0.71 | learning rate: 4.363E-05 | global batch size: 256 | lm loss: 2.489237E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.491 | TFLOPs: 21.87 | 31: iteration 17780/ 23189 | consumed samples: 4551680 | consumed tokens: 9321840640 | elapsed time per iteration (s): 0.69 | learning rate: 4.355E-05 | global batch size: 256 | lm loss: 2.499039E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.957 | TFLOPs: 22.32 | 31: iteration 17790/ 23189 | consumed samples: 4554240 | consumed tokens: 9327083520 | elapsed time per iteration (s): 0.70 | learning rate: 4.347E-05 | global batch size: 256 | lm loss: 2.481462E+00 | grad norm: 0.379 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.983 | TFLOPs: 22.20 | 31: iteration 17800/ 23189 | consumed samples: 4556800 | consumed tokens: 9332326400 | elapsed time per iteration (s): 0.70 | learning rate: 4.338E-05 | global batch size: 256 | lm loss: 2.493417E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.202 | TFLOPs: 21.97 | 31: iteration 17810/ 23189 | consumed samples: 4559360 | consumed tokens: 9337569280 | elapsed time per iteration (s): 0.70 | learning rate: 4.330E-05 | global batch size: 256 | lm loss: 2.492392E+00 | grad norm: 0.331 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.939 | TFLOPs: 22.14 | 31: iteration 17820/ 23189 | consumed samples: 4561920 | consumed tokens: 9342812160 | elapsed time per iteration (s): 0.68 | learning rate: 4.322E-05 | global batch size: 256 | lm loss: 2.486428E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.233 | TFLOPs: 22.70 | 31: iteration 17830/ 23189 | consumed samples: 4564480 | consumed tokens: 9348055040 | elapsed time per iteration (s): 0.69 | learning rate: 4.314E-05 | global batch size: 256 | lm loss: 2.485235E+00 | grad norm: 0.328 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.488 | TFLOPs: 22.41 | 31: iteration 17840/ 23189 | consumed samples: 4567040 | consumed tokens: 9353297920 | elapsed time per iteration (s): 0.72 | learning rate: 4.305E-05 | global batch size: 256 | lm loss: 2.487709E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.889 | TFLOPs: 21.53 | 31: iteration 17850/ 23189 | consumed samples: 4569600 | consumed tokens: 9358540800 | elapsed time per iteration (s): 0.68 | learning rate: 4.297E-05 | global batch size: 256 | lm loss: 2.494606E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.393 | TFLOPs: 22.83 | 31: iteration 17860/ 23189 | consumed samples: 4572160 | consumed tokens: 9363783680 | elapsed time per iteration (s): 0.71 | learning rate: 4.289E-05 | global batch size: 256 | lm loss: 2.492431E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.703 | TFLOPs: 21.82 | 31: iteration 17870/ 23189 | consumed samples: 4574720 | consumed tokens: 9369026560 | elapsed time per iteration (s): 0.70 | learning rate: 4.281E-05 | global batch size: 256 | lm loss: 2.481301E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.200 | TFLOPs: 22.09 | 31: iteration 17880/ 23189 | consumed samples: 4577280 | consumed tokens: 9374269440 | elapsed time per iteration (s): 0.71 | learning rate: 4.273E-05 | global batch size: 256 | lm loss: 2.491925E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.850 | TFLOPs: 21.89 | 31: iteration 17890/ 23189 | consumed samples: 4579840 | consumed tokens: 9379512320 | elapsed time per iteration (s): 0.71 | learning rate: 4.264E-05 | global batch size: 256 | lm loss: 2.491967E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.606 | TFLOPs: 21.69 | 31: iteration 17900/ 23189 | consumed samples: 4582400 | consumed tokens: 9384755200 | elapsed time per iteration (s): 0.72 | learning rate: 4.256E-05 | global batch size: 256 | lm loss: 2.481993E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.301 | TFLOPs: 21.43 | 31: iteration 17910/ 23189 | consumed samples: 4584960 | consumed tokens: 9389998080 | elapsed time per iteration (s): 0.70 | learning rate: 4.248E-05 | global batch size: 256 | lm loss: 2.483430E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.457 | TFLOPs: 21.99 | 31: iteration 17920/ 23189 | consumed samples: 4587520 | consumed tokens: 9395240960 | elapsed time per iteration (s): 0.70 | learning rate: 4.240E-05 | global batch size: 256 | lm loss: 2.482596E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.673 | TFLOPs: 22.18 | 31: iteration 17930/ 23189 | consumed samples: 4590080 | consumed tokens: 9400483840 | elapsed time per iteration (s): 0.74 | learning rate: 4.232E-05 | global batch size: 256 | lm loss: 2.481485E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.580 | TFLOPs: 20.97 | 31: iteration 17940/ 23189 | consumed samples: 4592640 | consumed tokens: 9405726720 | elapsed time per iteration (s): 0.70 | learning rate: 4.224E-05 | global batch size: 256 | lm loss: 2.481864E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.618 | TFLOPs: 22.06 | 31: iteration 17950/ 23189 | consumed samples: 4595200 | consumed tokens: 9410969600 | elapsed time per iteration (s): 0.70 | learning rate: 4.216E-05 | global batch size: 256 | lm loss: 2.482149E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.409 | TFLOPs: 22.23 | 31: iteration 17960/ 23189 | consumed samples: 4597760 | consumed tokens: 9416212480 | elapsed time per iteration (s): 0.71 | learning rate: 4.208E-05 | global batch size: 256 | lm loss: 2.472677E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.836 | TFLOPs: 21.83 | 31: iteration 17970/ 23189 | consumed samples: 4600320 | consumed tokens: 9421455360 | elapsed time per iteration (s): 0.72 | learning rate: 4.200E-05 | global batch size: 256 | lm loss: 2.492757E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.585 | TFLOPs: 21.57 | 31: iteration 17980/ 23189 | consumed samples: 4602880 | consumed tokens: 9426698240 | elapsed time per iteration (s): 0.70 | learning rate: 4.191E-05 | global batch size: 256 | lm loss: 2.483048E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.919 | TFLOPs: 22.26 | 31: iteration 17990/ 23189 | consumed samples: 4605440 | consumed tokens: 9431941120 | elapsed time per iteration (s): 0.74 | learning rate: 4.183E-05 | global batch size: 256 | lm loss: 2.484557E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.994 | TFLOPs: 20.81 | 0: [2023-03-16 01:30:07,656] [INFO] [logging.py:68:log_dist] [Rank 0] step=18000, skipped=0, lr=[4.175377042700692e-05, 4.175377042700692e-05, 4.175377042700692e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 18000/ 23189 | consumed samples: 4608000 | consumed tokens: 9437184000 | elapsed time per iteration (s): 0.77 | learning rate: 4.175E-05 | global batch size: 256 | lm loss: 2.486722E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.981 | TFLOPs: 20.21 | 0: steps: 18000 loss: 2.5138 iter time (s): 0.714 samples/sec: 358.647 31: iteration 18010/ 23189 | consumed samples: 4610560 | consumed tokens: 9442426880 | elapsed time per iteration (s): 0.71 | learning rate: 4.167E-05 | global batch size: 256 | lm loss: 2.485905E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.701 | TFLOPs: 21.82 | 31: iteration 18020/ 23189 | consumed samples: 4613120 | consumed tokens: 9447669760 | elapsed time per iteration (s): 0.74 | learning rate: 4.159E-05 | global batch size: 256 | lm loss: 2.480577E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.358 | TFLOPs: 20.83 | 31: iteration 18030/ 23189 | consumed samples: 4615680 | consumed tokens: 9452912640 | elapsed time per iteration (s): 0.74 | learning rate: 4.151E-05 | global batch size: 256 | lm loss: 2.484840E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.993 | TFLOPs: 20.99 | 31: iteration 18040/ 23189 | consumed samples: 4618240 | consumed tokens: 9458155520 | elapsed time per iteration (s): 0.70 | learning rate: 4.143E-05 | global batch size: 256 | lm loss: 2.486435E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.826 | TFLOPs: 22.19 | 31: iteration 18050/ 23189 | consumed samples: 4620800 | consumed tokens: 9463398400 | elapsed time per iteration (s): 0.72 | learning rate: 4.135E-05 | global batch size: 256 | lm loss: 2.488079E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.928 | TFLOPs: 21.47 | 31: iteration 18060/ 23189 | consumed samples: 4623360 | consumed tokens: 9468641280 | elapsed time per iteration (s): 0.72 | learning rate: 4.127E-05 | global batch size: 256 | lm loss: 2.486511E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.522 | TFLOPs: 21.57 | 31: iteration 18070/ 23189 | consumed samples: 4625920 | consumed tokens: 9473884160 | elapsed time per iteration (s): 0.73 | learning rate: 4.119E-05 | global batch size: 256 | lm loss: 2.485993E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.863 | TFLOPs: 21.11 | 31: iteration 18080/ 23189 | consumed samples: 4628480 | consumed tokens: 9479127040 | elapsed time per iteration (s): 0.72 | learning rate: 4.112E-05 | global batch size: 256 | lm loss: 2.480430E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.598 | TFLOPs: 21.63 | 31: iteration 18090/ 23189 | consumed samples: 4631040 | consumed tokens: 9484369920 | elapsed time per iteration (s): 0.75 | learning rate: 4.104E-05 | global batch size: 256 | lm loss: 2.476480E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.493 | TFLOPs: 20.72 | 31: iteration 18100/ 23189 | consumed samples: 4633600 | consumed tokens: 9489612800 | elapsed time per iteration (s): 0.75 | learning rate: 4.096E-05 | global batch size: 256 | lm loss: 2.477197E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.657 | TFLOPs: 20.61 | 31: iteration 18110/ 23189 | consumed samples: 4636160 | consumed tokens: 9494855680 | elapsed time per iteration (s): 0.71 | learning rate: 4.088E-05 | global batch size: 256 | lm loss: 2.472187E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.622 | TFLOPs: 21.70 | 31: iteration 18120/ 23189 | consumed samples: 4638720 | consumed tokens: 9500098560 | elapsed time per iteration (s): 0.69 | learning rate: 4.080E-05 | global batch size: 256 | lm loss: 2.478261E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.835 | TFLOPs: 22.31 | 31: iteration 18130/ 23189 | consumed samples: 4641280 | consumed tokens: 9505341440 | elapsed time per iteration (s): 0.73 | learning rate: 4.072E-05 | global batch size: 256 | lm loss: 2.484286E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.489 | TFLOPs: 21.20 | 31: iteration 18140/ 23189 | consumed samples: 4643840 | consumed tokens: 9510584320 | elapsed time per iteration (s): 0.69 | learning rate: 4.064E-05 | global batch size: 256 | lm loss: 2.479216E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.451 | TFLOPs: 22.35 | 31: iteration 18150/ 23189 | consumed samples: 4646400 | consumed tokens: 9515827200 | elapsed time per iteration (s): 0.69 | learning rate: 4.056E-05 | global batch size: 256 | lm loss: 2.484160E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.705 | TFLOPs: 22.49 | 31: iteration 18160/ 23189 | consumed samples: 4648960 | consumed tokens: 9521070080 | elapsed time per iteration (s): 0.69 | learning rate: 4.049E-05 | global batch size: 256 | lm loss: 2.484643E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.887 | TFLOPs: 22.38 | 31: iteration 18170/ 23189 | consumed samples: 4651520 | consumed tokens: 9526312960 | elapsed time per iteration (s): 0.70 | learning rate: 4.041E-05 | global batch size: 256 | lm loss: 2.482805E+00 | grad norm: 0.327 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.463 | TFLOPs: 22.17 | 31: iteration 18180/ 23189 | consumed samples: 4654080 | consumed tokens: 9531555840 | elapsed time per iteration (s): 0.70 | learning rate: 4.033E-05 | global batch size: 256 | lm loss: 2.474969E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.477 | TFLOPs: 22.17 | 31: iteration 18190/ 23189 | consumed samples: 4656640 | consumed tokens: 9536798720 | elapsed time per iteration (s): 0.73 | learning rate: 4.025E-05 | global batch size: 256 | lm loss: 2.484685E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.277 | TFLOPs: 21.19 | 31: iteration 18200/ 23189 | consumed samples: 4659200 | consumed tokens: 9542041600 | elapsed time per iteration (s): 0.72 | learning rate: 4.017E-05 | global batch size: 256 | lm loss: 2.492199E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.629 | TFLOPs: 21.58 | 31: iteration 18210/ 23189 | consumed samples: 4661760 | consumed tokens: 9547284480 | elapsed time per iteration (s): 0.77 | learning rate: 4.010E-05 | global batch size: 256 | lm loss: 2.475846E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.498 | TFLOPs: 20.18 | 31: iteration 18220/ 23189 | consumed samples: 4664320 | consumed tokens: 9552527360 | elapsed time per iteration (s): 0.70 | learning rate: 4.002E-05 | global batch size: 256 | lm loss: 2.485868E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.759 | TFLOPs: 22.25 | 31: iteration 18230/ 23189 | consumed samples: 4666880 | consumed tokens: 9557770240 | elapsed time per iteration (s): 0.72 | learning rate: 3.994E-05 | global batch size: 256 | lm loss: 2.463995E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.813 | TFLOPs: 21.40 | 31: iteration 18240/ 23189 | consumed samples: 4669440 | consumed tokens: 9563013120 | elapsed time per iteration (s): 0.68 | learning rate: 3.986E-05 | global batch size: 256 | lm loss: 2.478189E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.390 | TFLOPs: 22.65 | 31: iteration 18250/ 23189 | consumed samples: 4672000 | consumed tokens: 9568256000 | elapsed time per iteration (s): 0.71 | learning rate: 3.979E-05 | global batch size: 256 | lm loss: 2.463476E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.233 | TFLOPs: 21.67 | 31: iteration 18260/ 23189 | consumed samples: 4674560 | consumed tokens: 9573498880 | elapsed time per iteration (s): 0.77 | learning rate: 3.971E-05 | global batch size: 256 | lm loss: 2.469782E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.254 | TFLOPs: 20.16 | 31: iteration 18270/ 23189 | consumed samples: 4677120 | consumed tokens: 9578741760 | elapsed time per iteration (s): 0.75 | learning rate: 3.963E-05 | global batch size: 256 | lm loss: 2.481323E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.497 | TFLOPs: 20.54 | 31: iteration 18280/ 23189 | consumed samples: 4679680 | consumed tokens: 9583984640 | elapsed time per iteration (s): 0.74 | learning rate: 3.956E-05 | global batch size: 256 | lm loss: 2.473183E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.266 | TFLOPs: 20.89 | 31: iteration 18290/ 23189 | consumed samples: 4682240 | consumed tokens: 9589227520 | elapsed time per iteration (s): 0.70 | learning rate: 3.948E-05 | global batch size: 256 | lm loss: 2.474911E+00 | grad norm: 0.364 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.694 | TFLOPs: 22.24 | 31: iteration 18300/ 23189 | consumed samples: 4684800 | consumed tokens: 9594470400 | elapsed time per iteration (s): 0.71 | learning rate: 3.940E-05 | global batch size: 256 | lm loss: 2.472596E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.365 | TFLOPs: 21.74 | 31: iteration 18310/ 23189 | consumed samples: 4687360 | consumed tokens: 9599713280 | elapsed time per iteration (s): 0.69 | learning rate: 3.933E-05 | global batch size: 256 | lm loss: 2.469828E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.773 | TFLOPs: 22.31 | 31: iteration 18320/ 23189 | consumed samples: 4689920 | consumed tokens: 9604956160 | elapsed time per iteration (s): 0.71 | learning rate: 3.925E-05 | global batch size: 256 | lm loss: 2.473964E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.098 | TFLOPs: 21.91 | 31: iteration 18330/ 23189 | consumed samples: 4692480 | consumed tokens: 9610199040 | elapsed time per iteration (s): 0.71 | learning rate: 3.917E-05 | global batch size: 256 | lm loss: 2.468457E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.491 | TFLOPs: 21.69 | 31: iteration 18340/ 23189 | consumed samples: 4695040 | consumed tokens: 9615441920 | elapsed time per iteration (s): 0.70 | learning rate: 3.910E-05 | global batch size: 256 | lm loss: 2.489311E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.265 | TFLOPs: 22.28 | 31: iteration 18350/ 23189 | consumed samples: 4697600 | consumed tokens: 9620684800 | elapsed time per iteration (s): 0.77 | learning rate: 3.902E-05 | global batch size: 256 | lm loss: 2.474025E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.494 | TFLOPs: 19.99 | 31: iteration 18360/ 23189 | consumed samples: 4700160 | consumed tokens: 9625927680 | elapsed time per iteration (s): 0.71 | learning rate: 3.895E-05 | global batch size: 256 | lm loss: 2.470402E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.261 | TFLOPs: 21.73 | 31: iteration 18370/ 23189 | consumed samples: 4702720 | consumed tokens: 9631170560 | elapsed time per iteration (s): 0.74 | learning rate: 3.887E-05 | global batch size: 256 | lm loss: 2.457428E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.706 | TFLOPs: 21.04 | 31: iteration 18380/ 23189 | consumed samples: 4705280 | consumed tokens: 9636413440 | elapsed time per iteration (s): 0.77 | learning rate: 3.880E-05 | global batch size: 256 | lm loss: 2.473759E+00 | grad norm: 0.376 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.376 | TFLOPs: 20.11 | 31: iteration 18390/ 23189 | consumed samples: 4707840 | consumed tokens: 9641656320 | elapsed time per iteration (s): 0.76 | learning rate: 3.872E-05 | global batch size: 256 | lm loss: 2.480013E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.381 | TFLOPs: 20.29 | 31: iteration 18400/ 23189 | consumed samples: 4710400 | consumed tokens: 9646899200 | elapsed time per iteration (s): 0.81 | learning rate: 3.865E-05 | global batch size: 256 | lm loss: 2.472900E+00 | grad norm: 0.329 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 316.877 | TFLOPs: 19.17 | 31: iteration 18410/ 23189 | consumed samples: 4712960 | consumed tokens: 9652142080 | elapsed time per iteration (s): 0.72 | learning rate: 3.857E-05 | global batch size: 256 | lm loss: 2.473243E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.363 | TFLOPs: 21.38 | 31: iteration 18420/ 23189 | consumed samples: 4715520 | consumed tokens: 9657384960 | elapsed time per iteration (s): 0.70 | learning rate: 3.850E-05 | global batch size: 256 | lm loss: 2.477978E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.023 | TFLOPs: 22.26 | 31: iteration 18430/ 23189 | consumed samples: 4718080 | consumed tokens: 9662627840 | elapsed time per iteration (s): 0.74 | learning rate: 3.842E-05 | global batch size: 256 | lm loss: 2.469209E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.941 | TFLOPs: 20.93 | 31: iteration 18440/ 23189 | consumed samples: 4720640 | consumed tokens: 9667870720 | elapsed time per iteration (s): 0.70 | learning rate: 3.835E-05 | global batch size: 256 | lm loss: 2.477748E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.294 | TFLOPs: 22.10 | 31: iteration 18450/ 23189 | consumed samples: 4723200 | consumed tokens: 9673113600 | elapsed time per iteration (s): 0.69 | learning rate: 3.827E-05 | global batch size: 256 | lm loss: 2.482901E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.936 | TFLOPs: 22.44 | 31: iteration 18460/ 23189 | consumed samples: 4725760 | consumed tokens: 9678356480 | elapsed time per iteration (s): 0.74 | learning rate: 3.820E-05 | global batch size: 256 | lm loss: 2.475554E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.464 | TFLOPs: 20.96 | 31: iteration 18470/ 23189 | consumed samples: 4728320 | consumed tokens: 9683599360 | elapsed time per iteration (s): 0.70 | learning rate: 3.812E-05 | global batch size: 256 | lm loss: 2.477937E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.949 | TFLOPs: 22.14 | 31: iteration 18480/ 23189 | consumed samples: 4730880 | consumed tokens: 9688842240 | elapsed time per iteration (s): 0.70 | learning rate: 3.805E-05 | global batch size: 256 | lm loss: 2.456992E+00 | grad norm: 0.334 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.079 | TFLOPs: 22.15 | 31: iteration 18490/ 23189 | consumed samples: 4733440 | consumed tokens: 9694085120 | elapsed time per iteration (s): 0.69 | learning rate: 3.798E-05 | global batch size: 256 | lm loss: 2.462264E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.374 | TFLOPs: 22.35 | 31: iteration 18500/ 23189 | consumed samples: 4736000 | consumed tokens: 9699328000 | elapsed time per iteration (s): 0.77 | learning rate: 3.790E-05 | global batch size: 256 | lm loss: 2.455939E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.166 | TFLOPs: 20.22 | 31: iteration 18510/ 23189 | consumed samples: 4738560 | consumed tokens: 9704570880 | elapsed time per iteration (s): 0.71 | learning rate: 3.783E-05 | global batch size: 256 | lm loss: 2.470936E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.382 | TFLOPs: 21.74 | 31: iteration 18520/ 23189 | consumed samples: 4741120 | consumed tokens: 9709813760 | elapsed time per iteration (s): 0.70 | learning rate: 3.775E-05 | global batch size: 256 | lm loss: 2.468229E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.045 | TFLOPs: 22.08 | 31: iteration 18530/ 23189 | consumed samples: 4743680 | consumed tokens: 9715056640 | elapsed time per iteration (s): 0.69 | learning rate: 3.768E-05 | global batch size: 256 | lm loss: 2.454382E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.525 | TFLOPs: 22.29 | 31: iteration 18540/ 23189 | consumed samples: 4746240 | consumed tokens: 9720299520 | elapsed time per iteration (s): 0.72 | learning rate: 3.761E-05 | global batch size: 256 | lm loss: 2.469798E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.135 | TFLOPs: 21.36 | 31: iteration 18550/ 23189 | consumed samples: 4748800 | consumed tokens: 9725542400 | elapsed time per iteration (s): 0.71 | learning rate: 3.754E-05 | global batch size: 256 | lm loss: 2.474844E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.647 | TFLOPs: 21.82 | 31: iteration 18560/ 23189 | consumed samples: 4751360 | consumed tokens: 9730785280 | elapsed time per iteration (s): 0.78 | learning rate: 3.746E-05 | global batch size: 256 | lm loss: 2.468370E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.289 | TFLOPs: 19.98 | 31: iteration 18570/ 23189 | consumed samples: 4753920 | consumed tokens: 9736028160 | elapsed time per iteration (s): 0.74 | learning rate: 3.739E-05 | global batch size: 256 | lm loss: 2.459111E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.577 | TFLOPs: 20.85 | 31: iteration 18580/ 23189 | consumed samples: 4756480 | consumed tokens: 9741271040 | elapsed time per iteration (s): 0.79 | learning rate: 3.732E-05 | global batch size: 256 | lm loss: 2.478723E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.860 | TFLOPs: 19.65 | 31: iteration 18590/ 23189 | consumed samples: 4759040 | consumed tokens: 9746513920 | elapsed time per iteration (s): 0.70 | learning rate: 3.724E-05 | global batch size: 256 | lm loss: 2.472956E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.793 | TFLOPs: 22.13 | 31: iteration 18600/ 23189 | consumed samples: 4761600 | consumed tokens: 9751756800 | elapsed time per iteration (s): 0.72 | learning rate: 3.717E-05 | global batch size: 256 | lm loss: 2.478416E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.846 | TFLOPs: 21.53 | 31: iteration 18610/ 23189 | consumed samples: 4764160 | consumed tokens: 9756999680 | elapsed time per iteration (s): 0.71 | learning rate: 3.710E-05 | global batch size: 256 | lm loss: 2.459690E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.537 | TFLOPs: 21.93 | 31: iteration 18620/ 23189 | consumed samples: 4766720 | consumed tokens: 9762242560 | elapsed time per iteration (s): 0.68 | learning rate: 3.703E-05 | global batch size: 256 | lm loss: 2.468587E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.164 | TFLOPs: 22.70 | 31: iteration 18630/ 23189 | consumed samples: 4769280 | consumed tokens: 9767485440 | elapsed time per iteration (s): 0.70 | learning rate: 3.696E-05 | global batch size: 256 | lm loss: 2.482323E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.918 | TFLOPs: 22.02 | 31: iteration 18640/ 23189 | consumed samples: 4771840 | consumed tokens: 9772728320 | elapsed time per iteration (s): 0.72 | learning rate: 3.688E-05 | global batch size: 256 | lm loss: 2.469846E+00 | grad norm: 0.332 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.249 | TFLOPs: 21.49 | 31: iteration 18650/ 23189 | consumed samples: 4774400 | consumed tokens: 9777971200 | elapsed time per iteration (s): 0.76 | learning rate: 3.681E-05 | global batch size: 256 | lm loss: 2.467144E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.038 | TFLOPs: 20.27 | 31: iteration 18660/ 23189 | consumed samples: 4776960 | consumed tokens: 9783214080 | elapsed time per iteration (s): 0.70 | learning rate: 3.674E-05 | global batch size: 256 | lm loss: 2.476334E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.496 | TFLOPs: 21.99 | 31: iteration 18670/ 23189 | consumed samples: 4779520 | consumed tokens: 9788456960 | elapsed time per iteration (s): 0.71 | learning rate: 3.667E-05 | global batch size: 256 | lm loss: 2.462798E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.317 | TFLOPs: 21.68 | 31: iteration 18680/ 23189 | consumed samples: 4782080 | consumed tokens: 9793699840 | elapsed time per iteration (s): 0.82 | learning rate: 3.660E-05 | global batch size: 256 | lm loss: 2.469135E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 313.521 | TFLOPs: 18.97 | 31: iteration 18690/ 23189 | consumed samples: 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iteration 18720/ 23189 | consumed samples: 4792320 | consumed tokens: 9814671360 | elapsed time per iteration (s): 0.80 | learning rate: 3.631E-05 | global batch size: 256 | lm loss: 2.475482E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 319.626 | TFLOPs: 19.34 | 31: iteration 18730/ 23189 | consumed samples: 4794880 | consumed tokens: 9819914240 | elapsed time per iteration (s): 0.74 | learning rate: 3.624E-05 | global batch size: 256 | lm loss: 2.464101E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.389 | TFLOPs: 21.02 | 31: iteration 18740/ 23189 | consumed samples: 4797440 | consumed tokens: 9825157120 | elapsed time per iteration (s): 0.72 | learning rate: 3.617E-05 | global batch size: 256 | lm loss: 2.461841E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.149 | TFLOPs: 21.49 | 31: iteration 18750/ 23189 | consumed samples: 4800000 | consumed tokens: 9830400000 | elapsed time per iteration (s): 0.70 | learning rate: 3.610E-05 | global batch size: 256 | lm loss: 2.462551E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.479 | TFLOPs: 21.99 | 31: iteration 18760/ 23189 | consumed samples: 4802560 | consumed tokens: 9835642880 | elapsed time per iteration (s): 0.68 | learning rate: 3.603E-05 | global batch size: 256 | lm loss: 2.467596E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.880 | TFLOPs: 22.80 | 31: iteration 18770/ 23189 | consumed samples: 4805120 | consumed tokens: 9840885760 | elapsed time per iteration (s): 0.70 | learning rate: 3.596E-05 | global batch size: 256 | lm loss: 2.463225E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.630 | TFLOPs: 22.06 | 31: iteration 18780/ 23189 | consumed samples: 4807680 | consumed tokens: 9846128640 | elapsed time per iteration (s): 0.71 | learning rate: 3.589E-05 | global batch size: 256 | lm loss: 2.475470E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.969 | TFLOPs: 21.90 | 31: iteration 18790/ 23189 | consumed samples: 4810240 | consumed tokens: 9851371520 | elapsed time per iteration (s): 0.73 | learning rate: 3.582E-05 | global batch size: 256 | lm loss: 2.462475E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.661 | TFLOPs: 21.15 | 31: iteration 18800/ 23189 | consumed samples: 4812800 | consumed tokens: 9856614400 | elapsed time per iteration (s): 0.73 | learning rate: 3.575E-05 | global batch size: 256 | lm loss: 2.471774E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.367 | TFLOPs: 21.26 | 31: iteration 18810/ 23189 | consumed samples: 4815360 | consumed tokens: 9861857280 | elapsed time per iteration (s): 0.71 | learning rate: 3.568E-05 | global batch size: 256 | lm loss: 2.468540E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.352 | TFLOPs: 21.80 | 31: iteration 18820/ 23189 | consumed samples: 4817920 | consumed tokens: 9867100160 | elapsed time per iteration (s): 0.69 | learning rate: 3.561E-05 | global batch size: 256 | lm loss: 2.471516E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.678 | TFLOPs: 22.43 | 31: iteration 18830/ 23189 | consumed samples: 4820480 | consumed tokens: 9872343040 | elapsed time per iteration (s): 0.76 | learning rate: 3.554E-05 | global batch size: 256 | lm loss: 2.471399E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.249 | TFLOPs: 20.46 | 31: iteration 18840/ 23189 | consumed samples: 4823040 | consumed tokens: 9877585920 | elapsed time per iteration (s): 0.70 | learning rate: 3.547E-05 | global batch size: 256 | lm loss: 2.453617E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.873 | TFLOPs: 22.26 | 31: iteration 18850/ 23189 | consumed samples: 4825600 | consumed tokens: 9882828800 | elapsed time per iteration (s): 0.73 | learning rate: 3.541E-05 | global batch size: 256 | lm loss: 2.451578E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.034 | TFLOPs: 21.36 | 31: iteration 18860/ 23189 | consumed samples: 4828160 | consumed tokens: 9888071680 | elapsed time per iteration (s): 0.75 | learning rate: 3.534E-05 | global batch size: 256 | lm loss: 2.479744E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.793 | TFLOPs: 20.74 | 31: iteration 18870/ 23189 | consumed samples: 4830720 | consumed tokens: 9893314560 | elapsed time per iteration (s): 0.70 | learning rate: 3.527E-05 | global batch size: 256 | lm loss: 2.476309E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.909 | TFLOPs: 22.26 | 31: iteration 18880/ 23189 | consumed samples: 4833280 | consumed tokens: 9898557440 | elapsed time per iteration (s): 0.69 | learning rate: 3.520E-05 | global batch size: 256 | lm loss: 2.469965E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.716 | TFLOPs: 22.49 | 31: iteration 18890/ 23189 | consumed samples: 4835840 | consumed tokens: 9903800320 | elapsed time per iteration (s): 0.73 | learning rate: 3.513E-05 | global batch size: 256 | lm loss: 2.458912E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.778 | TFLOPs: 21.16 | 31: iteration 18900/ 23189 | consumed samples: 4838400 | consumed tokens: 9909043200 | elapsed time per iteration (s): 0.72 | learning rate: 3.506E-05 | global batch size: 256 | lm loss: 2.460063E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.596 | TFLOPs: 21.45 | 31: iteration 18910/ 23189 | consumed samples: 4840960 | consumed tokens: 9914286080 | elapsed time per iteration (s): 0.75 | learning rate: 3.499E-05 | global batch size: 256 | lm loss: 2.445614E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.660 | TFLOPs: 20.61 | 31: iteration 18920/ 23189 | consumed samples: 4843520 | consumed tokens: 9919528960 | elapsed time per iteration (s): 0.72 | learning rate: 3.493E-05 | global batch size: 256 | lm loss: 2.461800E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.974 | TFLOPs: 21.48 | 31: iteration 18930/ 23189 | consumed samples: 4846080 | consumed tokens: 9924771840 | elapsed time per iteration (s): 0.70 | learning rate: 3.486E-05 | global batch size: 256 | lm loss: 2.451190E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.655 | TFLOPs: 22.18 | 31: iteration 18940/ 23189 | consumed samples: 4848640 | consumed tokens: 9930014720 | elapsed time per iteration (s): 0.69 | learning rate: 3.479E-05 | global batch size: 256 | lm loss: 2.470811E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.378 | TFLOPs: 22.53 | 31: iteration 18950/ 23189 | consumed samples: 4851200 | consumed tokens: 9935257600 | elapsed time per iteration (s): 0.71 | learning rate: 3.472E-05 | global batch size: 256 | lm loss: 2.459089E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.619 | TFLOPs: 21.76 | 31: iteration 18960/ 23189 | consumed samples: 4853760 | consumed tokens: 9940500480 | elapsed time per iteration (s): 0.70 | learning rate: 3.466E-05 | global batch size: 256 | lm loss: 2.466378E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.280 | TFLOPs: 22.28 | 31: iteration 18970/ 23189 | consumed samples: 4856320 | consumed tokens: 9945743360 | elapsed time per iteration (s): 0.70 | learning rate: 3.459E-05 | global batch size: 256 | lm loss: 2.465178E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.579 | TFLOPs: 22.18 | 31: iteration 18980/ 23189 | consumed samples: 4858880 | consumed tokens: 9950986240 | elapsed time per iteration (s): 0.75 | learning rate: 3.452E-05 | global batch size: 256 | lm loss: 2.456624E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.516 | TFLOPs: 20.78 | 31: iteration 18990/ 23189 | consumed samples: 4861440 | consumed tokens: 9956229120 | elapsed time per iteration (s): 0.74 | learning rate: 3.445E-05 | global batch size: 256 | lm loss: 2.465518E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.135 | TFLOPs: 20.94 | 31: iteration 19000/ 23189 | consumed samples: 4864000 | consumed tokens: 9961472000 | elapsed time per iteration (s): 0.69 | learning rate: 3.439E-05 | global batch size: 256 | lm loss: 2.461739E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.315 | TFLOPs: 22.34 | 31: iteration 19010/ 23189 | consumed samples: 4866560 | consumed tokens: 9966714880 | elapsed time per iteration (s): 0.72 | learning rate: 3.432E-05 | global batch size: 256 | lm loss: 2.467956E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.977 | TFLOPs: 21.60 | 31: iteration 19020/ 23189 | consumed samples: 4869120 | consumed tokens: 9971957760 | elapsed time per iteration (s): 0.74 | learning rate: 3.425E-05 | global batch size: 256 | lm loss: 2.463723E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.169 | TFLOPs: 20.94 | 31: iteration 19030/ 23189 | consumed samples: 4871680 | consumed tokens: 9977200640 | elapsed time per iteration (s): 0.73 | learning rate: 3.419E-05 | global batch size: 256 | lm loss: 2.451737E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.700 | TFLOPs: 21.28 | 31: iteration 19040/ 23189 | consumed samples: 4874240 | consumed tokens: 9982443520 | elapsed time per iteration (s): 0.75 | learning rate: 3.412E-05 | global batch size: 256 | lm loss: 2.452139E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.335 | TFLOPs: 20.71 | 31: iteration 19050/ 23189 | consumed samples: 4876800 | consumed tokens: 9987686400 | elapsed time per iteration (s): 0.76 | learning rate: 3.406E-05 | global batch size: 256 | lm loss: 2.462635E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.410 | TFLOPs: 20.47 | 31: iteration 19060/ 23189 | consumed samples: 4879360 | consumed tokens: 9992929280 | elapsed time per iteration (s): 0.73 | learning rate: 3.399E-05 | global batch size: 256 | lm loss: 2.477907E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.695 | TFLOPs: 21.16 | 31: iteration 19070/ 23189 | consumed samples: 4881920 | consumed tokens: 9998172160 | elapsed time per iteration (s): 0.70 | learning rate: 3.392E-05 | global batch size: 256 | lm loss: 2.471593E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.965 | TFLOPs: 22.26 | 31: iteration 19080/ 23189 | consumed samples: 4884480 | consumed tokens: 10003415040 | elapsed time per iteration (s): 0.70 | learning rate: 3.386E-05 | global batch size: 256 | lm loss: 2.455471E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.750 | TFLOPs: 22.01 | 31: iteration 19090/ 23189 | consumed samples: 4887040 | consumed tokens: 10008657920 | elapsed time per iteration (s): 0.72 | learning rate: 3.379E-05 | global batch size: 256 | lm loss: 2.452142E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.245 | TFLOPs: 21.49 | 31: iteration 19100/ 23189 | consumed samples: 4889600 | consumed tokens: 10013900800 | elapsed time per iteration (s): 0.71 | learning rate: 3.373E-05 | global batch size: 256 | lm loss: 2.450199E+00 | grad norm: 0.330 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.100 | TFLOPs: 21.91 | 31: iteration 19110/ 23189 | consumed samples: 4892160 | consumed tokens: 10019143680 | elapsed time per iteration (s): 0.74 | learning rate: 3.366E-05 | global batch size: 256 | lm loss: 2.469044E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.384 | TFLOPs: 21.02 | 31: iteration 19120/ 23189 | consumed samples: 4894720 | consumed tokens: 10024386560 | elapsed time per iteration (s): 0.69 | learning rate: 3.360E-05 | global batch size: 256 | lm loss: 2.462270E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.467 | TFLOPs: 22.59 | 31: iteration 19130/ 23189 | consumed samples: 4897280 | consumed tokens: 10029629440 | elapsed time per iteration (s): 0.70 | learning rate: 3.353E-05 | global batch size: 256 | lm loss: 2.471448E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.502 | TFLOPs: 22.05 | 31: iteration 19140/ 23189 | consumed samples: 4899840 | consumed tokens: 10034872320 | elapsed time per iteration (s): 0.71 | learning rate: 3.347E-05 | global batch size: 256 | lm loss: 2.454835E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.940 | TFLOPs: 21.96 | 31: iteration 19150/ 23189 | consumed samples: 4902400 | consumed tokens: 10040115200 | elapsed time per iteration (s): 0.68 | learning rate: 3.340E-05 | global batch size: 256 | lm loss: 2.463277E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.613 | TFLOPs: 22.84 | 31: iteration 19160/ 23189 | consumed samples: 4904960 | consumed tokens: 10045358080 | elapsed time per iteration (s): 0.70 | learning rate: 3.334E-05 | global batch size: 256 | lm loss: 2.455157E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.301 | TFLOPs: 22.10 | 31: iteration 19170/ 23189 | consumed samples: 4907520 | consumed tokens: 10050600960 | elapsed time per iteration (s): 0.70 | learning rate: 3.327E-05 | global batch size: 256 | lm loss: 2.456488E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.492 | TFLOPs: 22.05 | 31: iteration 19180/ 23189 | consumed samples: 4910080 | consumed tokens: 10055843840 | elapsed time per iteration (s): 0.69 | learning rate: 3.321E-05 | global batch size: 256 | lm loss: 2.458947E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.075 | TFLOPs: 22.51 | 31: iteration 19190/ 23189 | consumed samples: 4912640 | consumed tokens: 10061086720 | elapsed time per iteration (s): 0.72 | learning rate: 3.314E-05 | global batch size: 256 | lm loss: 2.449858E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.984 | TFLOPs: 21.60 | 31: iteration 19200/ 23189 | consumed samples: 4915200 | consumed tokens: 10066329600 | elapsed time per iteration (s): 0.70 | learning rate: 3.308E-05 | global batch size: 256 | lm loss: 2.450283E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.510 | TFLOPs: 22.23 | 31: iteration 19210/ 23189 | consumed samples: 4917760 | consumed tokens: 10071572480 | elapsed time per iteration (s): 0.69 | learning rate: 3.302E-05 | global batch size: 256 | lm loss: 2.465004E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.432 | TFLOPs: 22.29 | 31: iteration 19220/ 23189 | consumed samples: 4920320 | consumed tokens: 10076815360 | elapsed time per iteration (s): 0.73 | learning rate: 3.295E-05 | global batch size: 256 | lm loss: 2.459971E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.377 | TFLOPs: 21.26 | 31: iteration 19230/ 23189 | consumed samples: 4922880 | consumed tokens: 10082058240 | elapsed time per iteration (s): 0.70 | learning rate: 3.289E-05 | global batch size: 256 | lm loss: 2.458719E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.658 | TFLOPs: 22.00 | 31: iteration 19240/ 23189 | consumed samples: 4925440 | consumed tokens: 10087301120 | elapsed time per iteration (s): 0.70 | learning rate: 3.283E-05 | global batch size: 256 | lm loss: 2.458028E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.415 | TFLOPs: 22.05 | 31: iteration 19250/ 23189 | consumed samples: 4928000 | consumed tokens: 10092544000 | elapsed time per iteration (s): 0.70 | learning rate: 3.276E-05 | global batch size: 256 | lm loss: 2.453653E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.262 | TFLOPs: 21.98 | 31: iteration 19260/ 23189 | consumed samples: 4930560 | consumed tokens: 10097786880 | elapsed time per iteration (s): 0.71 | learning rate: 3.270E-05 | global batch size: 256 | lm loss: 2.455002E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.987 | TFLOPs: 21.78 | 31: iteration 19270/ 23189 | consumed samples: 4933120 | consumed tokens: 10103029760 | elapsed time per iteration (s): 0.71 | learning rate: 3.264E-05 | global batch size: 256 | lm loss: 2.462144E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.264 | TFLOPs: 21.92 | 31: iteration 19280/ 23189 | consumed samples: 4935680 | consumed tokens: 10108272640 | elapsed time per iteration (s): 0.69 | learning rate: 3.257E-05 | global batch size: 256 | lm loss: 2.452070E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.401 | TFLOPs: 22.35 | 31: iteration 19290/ 23189 | consumed samples: 4938240 | consumed tokens: 10113515520 | elapsed time per iteration 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tokens: 10129244160 | elapsed time per iteration (s): 0.72 | learning rate: 3.232E-05 | global batch size: 256 | lm loss: 2.464285E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.608 | TFLOPs: 21.51 | 31: iteration 19330/ 23189 | consumed samples: 4948480 | consumed tokens: 10134487040 | elapsed time per iteration (s): 0.70 | learning rate: 3.226E-05 | global batch size: 256 | lm loss: 2.457320E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.822 | TFLOPs: 22.19 | 31: iteration 19340/ 23189 | consumed samples: 4951040 | consumed tokens: 10139729920 | elapsed time per iteration (s): 0.68 | learning rate: 3.220E-05 | global batch size: 256 | lm loss: 2.448385E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.058 | TFLOPs: 22.69 | 31: iteration 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second: 372.048 | TFLOPs: 22.51 | 31: iteration 19380/ 23189 | consumed samples: 4961280 | consumed tokens: 10160701440 | elapsed time per iteration (s): 0.71 | learning rate: 3.195E-05 | global batch size: 256 | lm loss: 2.445512E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.350 | TFLOPs: 21.92 | 31: iteration 19390/ 23189 | consumed samples: 4963840 | consumed tokens: 10165944320 | elapsed time per iteration (s): 0.69 | learning rate: 3.189E-05 | global batch size: 256 | lm loss: 2.443176E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.138 | TFLOPs: 22.39 | 31: iteration 19400/ 23189 | consumed samples: 4966400 | consumed tokens: 10171187200 | elapsed time per iteration (s): 0.77 | learning rate: 3.183E-05 | global batch size: 256 | lm loss: 2.448466E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.873 | TFLOPs: 20.14 | 31: iteration 19410/ 23189 | consumed samples: 4968960 | consumed tokens: 10176430080 | elapsed time per iteration (s): 0.69 | learning rate: 3.177E-05 | global batch size: 256 | lm loss: 2.438898E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.599 | TFLOPs: 22.42 | 31: iteration 19420/ 23189 | consumed samples: 4971520 | consumed tokens: 10181672960 | elapsed time per iteration (s): 0.72 | learning rate: 3.171E-05 | global batch size: 256 | lm loss: 2.446066E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.621 | TFLOPs: 21.51 | 31: iteration 19430/ 23189 | consumed samples: 4974080 | consumed tokens: 10186915840 | elapsed time per iteration (s): 0.69 | learning rate: 3.165E-05 | global batch size: 256 | lm loss: 2.459456E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.787 | TFLOPs: 22.43 | 31: iteration 19440/ 23189 | consumed samples: 4976640 | consumed tokens: 10192158720 | elapsed time per iteration (s): 0.72 | learning rate: 3.159E-05 | global batch size: 256 | lm loss: 2.451190E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.411 | TFLOPs: 21.38 | 31: iteration 19450/ 23189 | consumed samples: 4979200 | consumed tokens: 10197401600 | elapsed time per iteration (s): 0.69 | learning rate: 3.153E-05 | global batch size: 256 | lm loss: 2.424078E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.287 | TFLOPs: 22.46 | 31: iteration 19460/ 23189 | consumed samples: 4981760 | consumed tokens: 10202644480 | elapsed time per iteration (s): 0.73 | learning rate: 3.147E-05 | global batch size: 256 | lm loss: 2.450554E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.645 | TFLOPs: 21.33 | 31: iteration 19470/ 23189 | consumed samples: 4984320 | consumed tokens: 10207887360 | elapsed time per iteration (s): 0.70 | learning rate: 3.141E-05 | global batch size: 256 | lm loss: 2.448996E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.434 | TFLOPs: 21.99 | 31: iteration 19480/ 23189 | consumed samples: 4986880 | consumed tokens: 10213130240 | elapsed time per iteration (s): 0.71 | learning rate: 3.135E-05 | global batch size: 256 | lm loss: 2.448704E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.902 | TFLOPs: 21.77 | 31: iteration 19490/ 23189 | consumed samples: 4989440 | consumed tokens: 10218373120 | elapsed time per iteration (s): 0.68 | learning rate: 3.129E-05 | global batch size: 256 | lm loss: 2.454770E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.947 | TFLOPs: 22.74 | 31: iteration 19500/ 23189 | consumed samples: 4992000 | consumed tokens: 10223616000 | elapsed time per iteration (s): 0.72 | learning rate: 3.123E-05 | global batch size: 256 | lm loss: 2.448496E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.182 | TFLOPs: 21.55 | 31: iteration 19510/ 23189 | consumed samples: 4994560 | consumed tokens: 10228858880 | elapsed time per iteration (s): 0.69 | learning rate: 3.117E-05 | global batch size: 256 | lm loss: 2.462061E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.473 | TFLOPs: 22.59 | 31: iteration 19520/ 23189 | consumed samples: 4997120 | consumed tokens: 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| consumed samples: 5004800 | consumed tokens: 10249830400 | elapsed time per iteration (s): 0.70 | learning rate: 3.093E-05 | global batch size: 256 | lm loss: 2.445221E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.647 | TFLOPs: 22.00 | 31: iteration 19560/ 23189 | consumed samples: 5007360 | consumed tokens: 10255073280 | elapsed time per iteration (s): 0.70 | learning rate: 3.087E-05 | global batch size: 256 | lm loss: 2.439649E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.610 | TFLOPs: 22.24 | 31: iteration 19570/ 23189 | consumed samples: 5009920 | consumed tokens: 10260316160 | elapsed time per iteration (s): 0.71 | learning rate: 3.081E-05 | global batch size: 256 | lm loss: 2.446185E+00 | grad norm: 0.333 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.142 | TFLOPs: 21.67 | 31: iteration 19580/ 23189 | consumed samples: 5012480 | consumed tokens: 10265559040 | elapsed time per iteration (s): 0.69 | learning rate: 3.076E-05 | global batch size: 256 | lm loss: 2.450963E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.492 | TFLOPs: 22.53 | 31: iteration 19590/ 23189 | consumed samples: 5015040 | consumed tokens: 10270801920 | elapsed time per iteration (s): 0.69 | learning rate: 3.070E-05 | global batch size: 256 | lm loss: 2.440572E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.694 | TFLOPs: 22.61 | 31: iteration 19600/ 23189 | consumed samples: 5017600 | consumed tokens: 10276044800 | elapsed time per iteration (s): 0.69 | learning rate: 3.064E-05 | global batch size: 256 | lm loss: 2.448377E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.498 | TFLOPs: 22.35 | 31: iteration 19610/ 23189 | consumed samples: 5020160 | consumed tokens: 10281287680 | elapsed time per iteration (s): 0.68 | learning rate: 3.058E-05 | global batch size: 256 | lm loss: 2.451439E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.919 | TFLOPs: 22.68 | 31: iteration 19620/ 23189 | consumed samples: 5022720 | consumed tokens: 10286530560 | elapsed time per iteration (s): 0.70 | learning rate: 3.052E-05 | global batch size: 256 | lm loss: 2.452270E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.855 | TFLOPs: 22.13 | 31: iteration 19630/ 23189 | consumed samples: 5025280 | consumed tokens: 10291773440 | elapsed time per iteration (s): 0.70 | learning rate: 3.047E-05 | global batch size: 256 | lm loss: 2.451935E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.217 | TFLOPs: 21.97 | 31: iteration 19640/ 23189 | consumed samples: 5027840 | consumed tokens: 10297016320 | elapsed time per iteration (s): 0.71 | learning rate: 3.041E-05 | global batch size: 256 | lm loss: 2.450775E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.331 | TFLOPs: 21.80 | 31: iteration 19650/ 23189 | consumed samples: 5030400 | consumed tokens: 10302259200 | elapsed time per iteration (s): 0.71 | learning rate: 3.035E-05 | global batch size: 256 | lm loss: 2.447411E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.896 | TFLOPs: 21.89 | 31: iteration 19660/ 23189 | consumed samples: 5032960 | consumed tokens: 10307502080 | elapsed time per iteration (s): 0.74 | learning rate: 3.029E-05 | global batch size: 256 | lm loss: 2.435641E+00 | grad norm: 0.373 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.316 | TFLOPs: 20.89 | 31: iteration 19670/ 23189 | consumed samples: 5035520 | consumed tokens: 10312744960 | elapsed time per iteration (s): 0.71 | learning rate: 3.024E-05 | global batch size: 256 | lm loss: 2.455040E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.287 | TFLOPs: 21.68 | 31: iteration 19680/ 23189 | consumed samples: 5038080 | consumed tokens: 10317987840 | elapsed time per iteration (s): 0.72 | learning rate: 3.018E-05 | global batch size: 256 | lm loss: 2.439124E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.894 | TFLOPs: 21.65 | 31: iteration 19690/ 23189 | consumed samples: 5040640 | consumed tokens: 10323230720 | elapsed time per iteration (s): 0.71 | learning rate: 3.012E-05 | global batch size: 256 | lm loss: 2.447695E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.981 | TFLOPs: 21.90 | 31: iteration 19700/ 23189 | consumed samples: 5043200 | consumed tokens: 10328473600 | elapsed time per iteration (s): 0.69 | learning rate: 3.007E-05 | global batch size: 256 | lm loss: 2.445781E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.185 | TFLOPs: 22.46 | 31: iteration 19710/ 23189 | consumed samples: 5045760 | consumed tokens: 10333716480 | elapsed time per iteration (s): 0.72 | learning rate: 3.001E-05 | global batch size: 256 | lm loss: 2.444651E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.722 | TFLOPs: 21.52 | 31: iteration 19720/ 23189 | consumed samples: 5048320 | consumed tokens: 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| consumed samples: 5056000 | consumed tokens: 10354688000 | elapsed time per iteration (s): 0.69 | learning rate: 2.978E-05 | global batch size: 256 | lm loss: 2.437135E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.466 | TFLOPs: 22.59 | 31: iteration 19760/ 23189 | consumed samples: 5058560 | consumed tokens: 10359930880 | elapsed time per iteration (s): 0.69 | learning rate: 2.973E-05 | global batch size: 256 | lm loss: 2.459710E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.787 | TFLOPs: 22.49 | 31: iteration 19770/ 23189 | consumed samples: 5061120 | consumed tokens: 10365173760 | elapsed time per iteration (s): 0.68 | learning rate: 2.967E-05 | global batch size: 256 | lm loss: 2.439827E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.825 | TFLOPs: 22.86 | 31: iteration 19780/ 23189 | consumed samples: 5063680 | consumed tokens: 10370416640 | elapsed time per iteration (s): 0.70 | learning rate: 2.962E-05 | global batch size: 256 | lm loss: 2.433842E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.482 | TFLOPs: 22.17 | 31: iteration 19790/ 23189 | consumed samples: 5066240 | consumed tokens: 10375659520 | elapsed time per iteration (s): 0.70 | learning rate: 2.956E-05 | global batch size: 256 | lm loss: 2.437430E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.444 | TFLOPs: 22.23 | 31: iteration 19800/ 23189 | consumed samples: 5068800 | consumed tokens: 10380902400 | elapsed time per iteration (s): 0.71 | learning rate: 2.951E-05 | global batch size: 256 | lm loss: 2.445303E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.762 | TFLOPs: 21.95 | 31: iteration 19810/ 23189 | consumed samples: 5071360 | consumed tokens: 10386145280 | elapsed time per iteration (s): 0.69 | learning rate: 2.945E-05 | global batch size: 256 | lm loss: 2.442236E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.927 | TFLOPs: 22.32 | 31: iteration 19820/ 23189 | consumed samples: 5073920 | consumed tokens: 10391388160 | elapsed time per iteration (s): 0.70 | learning rate: 2.940E-05 | global batch size: 256 | lm loss: 2.437582E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.330 | TFLOPs: 22.10 | 31: iteration 19830/ 23189 | consumed samples: 5076480 | consumed tokens: 10396631040 | elapsed time per iteration (s): 0.75 | learning rate: 2.934E-05 | global batch size: 256 | lm loss: 2.440733E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.108 | TFLOPs: 20.70 | 31: iteration 19840/ 23189 | consumed samples: 5079040 | consumed tokens: 10401873920 | elapsed time per iteration (s): 0.69 | learning rate: 2.929E-05 | global batch size: 256 | lm loss: 2.439707E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.566 | TFLOPs: 22.48 | 31: iteration 19850/ 23189 | consumed samples: 5081600 | consumed tokens: 10407116800 | elapsed time per iteration (s): 0.69 | learning rate: 2.923E-05 | global batch size: 256 | lm loss: 2.435370E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.233 | TFLOPs: 22.58 | 31: iteration 19860/ 23189 | consumed samples: 5084160 | consumed tokens: 10412359680 | elapsed time per iteration (s): 0.71 | learning rate: 2.918E-05 | global batch size: 256 | lm loss: 2.459019E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.158 | TFLOPs: 21.91 | 31: iteration 19870/ 23189 | consumed samples: 5086720 | consumed tokens: 10417602560 | elapsed time per iteration (s): 0.70 | learning rate: 2.913E-05 | global batch size: 256 | lm loss: 2.438751E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.808 | TFLOPs: 22.01 | 31: iteration 19880/ 23189 | consumed samples: 5089280 | consumed tokens: 10422845440 | elapsed time per iteration (s): 0.71 | learning rate: 2.907E-05 | global batch size: 256 | lm loss: 2.441133E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.703 | TFLOPs: 21.70 | 31: iteration 19890/ 23189 | consumed samples: 5091840 | consumed tokens: 10428088320 | elapsed time per iteration (s): 0.74 | learning rate: 2.902E-05 | global batch size: 256 | lm loss: 2.450274E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.122 | TFLOPs: 20.94 | 31: iteration 19900/ 23189 | consumed samples: 5094400 | consumed tokens: 10433331200 | elapsed time per iteration (s): 0.69 | learning rate: 2.896E-05 | global batch size: 256 | lm loss: 2.432733E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.118 | TFLOPs: 22.45 | 31: iteration 19910/ 23189 | consumed samples: 5096960 | consumed tokens: 10438574080 | elapsed time per iteration (s): 0.70 | learning rate: 2.891E-05 | global batch size: 256 | lm loss: 2.442704E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.236 | TFLOPs: 22.28 | 31: iteration 19920/ 23189 | consumed samples: 5099520 | consumed tokens: 10443816960 | elapsed time per iteration (s): 0.69 | learning rate: 2.886E-05 | global batch size: 256 | lm loss: 2.437488E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.754 | TFLOPs: 22.31 | 31: iteration 19930/ 23189 | consumed samples: 5102080 | consumed tokens: 10449059840 | elapsed time per iteration (s): 0.69 | learning rate: 2.880E-05 | global batch size: 256 | lm loss: 2.441599E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.523 | TFLOPs: 22.36 | 31: iteration 19940/ 23189 | consumed samples: 5104640 | consumed tokens: 10454302720 | elapsed time per iteration (s): 0.70 | learning rate: 2.875E-05 | global batch size: 256 | lm loss: 2.444575E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.030 | TFLOPs: 22.26 | 31: iteration 19950/ 23189 | consumed samples: 5107200 | consumed tokens: 10459545600 | elapsed time per iteration (s): 0.70 | learning rate: 2.870E-05 | global batch size: 256 | lm loss: 2.447063E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.307 | TFLOPs: 22.10 | 31: iteration 19960/ 23189 | consumed samples: 5109760 | consumed tokens: 10464788480 | elapsed time per iteration (s): 0.71 | learning rate: 2.864E-05 | global batch size: 256 | lm loss: 2.436453E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.178 | TFLOPs: 21.73 | 31: iteration 19970/ 23189 | consumed samples: 5112320 | consumed tokens: 10470031360 | elapsed time per iteration (s): 0.68 | learning rate: 2.859E-05 | global batch size: 256 | lm loss: 2.435649E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.156 | TFLOPs: 22.64 | 31: iteration 19980/ 23189 | consumed samples: 5114880 | consumed tokens: 10475274240 | elapsed time per iteration (s): 0.72 | learning rate: 2.854E-05 | global batch size: 256 | lm loss: 2.440576E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.117 | TFLOPs: 21.60 | 31: iteration 19990/ 23189 | consumed samples: 5117440 | consumed tokens: 10480517120 | elapsed time per iteration (s): 0.70 | learning rate: 2.849E-05 | global batch size: 256 | lm loss: 2.433825E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.199 | TFLOPs: 21.97 | 0: [2023-03-16 01:53:58,447] [INFO] [logging.py:68:log_dist] [Rank 0] step=20000, skipped=0, lr=[2.8435527737759598e-05, 2.8435527737759598e-05, 2.8435527737759598e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 20000/ 23189 | consumed samples: 5120000 | consumed tokens: 10485760000 | elapsed time per iteration (s): 0.70 | learning rate: 2.844E-05 | global batch size: 256 | lm loss: 2.441333E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.342 | TFLOPs: 22.22 | 0: steps: 20000 loss: 2.4528 iter time (s): 0.712 samples/sec: 359.643 31: ------------------------------------------------------------------------------------------------ 31: validation loss at iteration 20000 | lm loss value: 3.501928E+00 | lm loss PPL: 3.317936E+01 | 31: ------------------------------------------------------------------------------------------------ 0: saving checkpoint at iteration 20000 to checkpoints_1b112b400m 0: [2023-03-16 01:53:58,750] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step20000 is begin to save! 0: [2023-03-16 01:53:58,761] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving 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[engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_5_mp_rank_00_optim_states.pt 0: [2023-03-16 01:54:01,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: [2023-03-16 01:54:01,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt. 0: [2023-03-16 01:54:01,279] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt. 0: [2023-03-16 01:54:01,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_6_mp_rank_00_optim_states.pt 0: [2023-03-16 01:54:01,279] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2023-03-16 01:54:01,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: [2023-03-16 01:54:01,279] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 8: [2023-03-16 01:54:01,281] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_67_mp_rank_00_optim_states.pt. 8: [2023-03-16 01:54:01,281] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_67_mp_rank_00_optim_states.pt 8: [2023-03-16 01:54:01,281] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: [2023-03-16 01:54:01,281] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt. 5: [2023-03-16 01:54:01,302] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_42_mp_rank_00_optim_states.pt 5: [2023-03-16 01:54:01,302] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_43_mp_rank_00_optim_states.pt 5: [2023-03-16 01:54:01,302] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 5: [2023-03-16 01:54:01,302] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 28: [2023-03-16 01:54:01,302] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_225_mp_rank_00_optim_states.pt. 28: [2023-03-16 01:54:01,302] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_225_mp_rank_00_optim_states.pt 28: [2023-03-16 01:54:01,302] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 2: [2023-03-16 01:54:01,302] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt. 2: [2023-03-16 01:54:01,302] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_19_mp_rank_00_optim_states.pt 2: [2023-03-16 01:54:01,302] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 10: [2023-03-16 01:54:01,308] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_87_mp_rank_00_optim_states.pt. 10: [2023-03-16 01:54:01,308] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_173_mp_rank_00_optim_states.pt 21: [2023-03-16 01:54:01,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_168_mp_rank_00_optim_states.pt 21: [2023-03-16 01:54:01,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 21: [2023-03-16 01:54:01,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 21: [2023-03-16 01:54:01,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 28: [2023-03-16 01:54:01,323] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_224_mp_rank_00_optim_states.pt. 25: [2023-03-16 01:54:01,323] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_146_mp_rank_00_optim_states.pt. 11: [2023-03-16 01:54:01,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_90_mp_rank_00_optim_states.pt 11: [2023-03-16 01:54:01,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_93_mp_rank_00_optim_states.pt 11: [2023-03-16 01:54:01,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_88_mp_rank_00_optim_states.pt 11: [2023-03-16 01:54:01,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_92_mp_rank_00_optim_states.pt 18: [2023-03-16 01:54:01,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_150_mp_rank_00_optim_states.pt 18: [2023-03-16 01:54:01,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_151_mp_rank_00_optim_states.pt 18: [2023-03-16 01:54:01,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_147_mp_rank_00_optim_states.pt 18: [2023-03-16 01:54:01,326] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_149_mp_rank_00_optim_states.pt 11: [2023-03-16 01:54:01,321] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_89_mp_rank_00_optim_states.pt 11: [2023-03-16 01:54:01,321] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 18: [2023-03-16 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checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_248_mp_rank_00_optim_states.pt 31: [2023-03-16 01:54:01,331] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 1: [2023-03-16 01:54:01,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt. 1: [2023-03-16 01:54:01,335] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_10_mp_rank_00_optim_states.pt 1: [2023-03-16 01:54:01,335] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 25: [2023-03-16 01:54:01,335] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_207_mp_rank_00_optim_states.pt. 25: [2023-03-16 01:54:01,335] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_182_mp_rank_00_optim_states.pt. 22: [2023-03-16 01:54:01,327] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 22: [2023-03-16 01:54:01,327] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 22: [2023-03-16 01:54:01,327] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_182_mp_rank_00_optim_states.pt 22: [2023-03-16 01:54:01,327] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 22: [2023-03-16 01:54:01,333] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_177_mp_rank_00_optim_states.pt. 13: [2023-03-16 01:54:01,334] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 4: [2023-03-16 01:54:01,414] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt. 4: [2023-03-16 01:54:01,414] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_33_mp_rank_00_optim_states.pt 4: [2023-03-16 01:54:01,414] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 19: [2023-03-16 01:54:01,415] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_155_mp_rank_00_optim_states.pt. 19: [2023-03-16 01:54:01,415] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_155_mp_rank_00_optim_states.pt 19: [2023-03-16 01:54:01,415] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 31: [2023-03-16 01:54:01,416] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_255_mp_rank_00_optim_states.pt. 30: [2023-03-16 01:54:01,418] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_240_mp_rank_00_optim_states.pt. 30: [2023-03-16 01:54:01,419] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_240_mp_rank_00_optim_states.pt 30: [2023-03-16 01:54:01,419] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 31: [2023-03-16 01:54:01,416] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_255_mp_rank_00_optim_states.pt 31: [2023-03-16 01:54:01,417] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 13: [2023-03-16 01:54:01,422] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_110_mp_rank_00_optim_states.pt. 13: [2023-03-16 01:54:01,422] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_110_mp_rank_00_optim_states.pt 13: [2023-03-16 01:54:01,422] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 5: [2023-03-16 01:54:01,423] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt. 5: [2023-03-16 01:54:01,423] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2023-03-16 01:54:01,423] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_41_mp_rank_00_optim_states.pt 5: [2023-03-16 01:54:01,423] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2023-03-16 01:54:01,423] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 5: [2023-03-16 01:54:01,423] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 20: [2023-03-16 01:54:01,423] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_163_mp_rank_00_optim_states.pt. 20: [2023-03-16 01:54:01,423] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step20000/bf16_zero_pp_rank_163_mp_rank_00_optim_states.pt 20: [2023-03-16 01:54:01,423] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 0: successfully saved checkpoint at iteration 20000 to checkpoints_1b112b400m 31: time (ms) | save-checkpoint: 2735.96 28: [2023-03-16 01:54:01,392] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step20000 is ready now! 31: iteration 20010/ 23189 | consumed samples: 5122560 | consumed tokens: 10491002880 | elapsed time per iteration (s): 1.01 | learning rate: 2.838E-05 | global batch size: 256 | lm loss: 2.447259E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 254.431 | TFLOPs: 15.39 | 31: iteration 20020/ 23189 | consumed samples: 5125120 | consumed tokens: 10496245760 | elapsed time per iteration (s): 0.71 | learning rate: 2.833E-05 | global batch size: 256 | lm loss: 2.441615E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.217 | TFLOPs: 21.85 | 31: iteration 20030/ 23189 | consumed samples: 5127680 | consumed tokens: 10501488640 | elapsed time per iteration (s): 0.71 | learning rate: 2.828E-05 | global batch size: 256 | lm loss: 2.450535E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.801 | TFLOPs: 21.95 | 31: iteration 20040/ 23189 | consumed samples: 5130240 | consumed tokens: 10506731520 | elapsed time per iteration (s): 0.74 | learning rate: 2.823E-05 | global batch size: 256 | lm loss: 2.446438E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.174 | TFLOPs: 20.88 | 31: iteration 20050/ 23189 | consumed samples: 5132800 | consumed tokens: 10511974400 | elapsed time per iteration (s): 0.68 | learning rate: 2.818E-05 | global batch size: 256 | lm loss: 2.436065E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.262 | TFLOPs: 22.70 | 31: iteration 20060/ 23189 | consumed samples: 5135360 | consumed tokens: 10517217280 | elapsed time per iteration (s): 0.71 | learning rate: 2.813E-05 | global batch size: 256 | lm loss: 2.440369E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.418 | TFLOPs: 21.93 | 31: iteration 20070/ 23189 | consumed samples: 5137920 | consumed tokens: 10522460160 | elapsed time per iteration (s): 0.69 | learning rate: 2.807E-05 | global batch size: 256 | lm loss: 2.431583E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.648 | TFLOPs: 22.42 | 31: iteration 20080/ 23189 | consumed samples: 5140480 | consumed tokens: 10527703040 | elapsed time per iteration (s): 0.72 | learning rate: 2.802E-05 | global batch size: 256 | lm loss: 2.437423E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.090 | TFLOPs: 21.48 | 31: iteration 20090/ 23189 | consumed samples: 5143040 | consumed tokens: 10532945920 | elapsed time per iteration (s): 0.71 | learning rate: 2.797E-05 | global batch size: 256 | lm loss: 2.439869E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.379 | TFLOPs: 21.92 | 31: iteration 20100/ 23189 | consumed samples: 5145600 | consumed tokens: 10538188800 | elapsed time per iteration (s): 0.73 | learning rate: 2.792E-05 | global batch size: 256 | lm loss: 2.433428E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.172 | TFLOPs: 21.31 | 31: iteration 20110/ 23189 | consumed samples: 5148160 | consumed tokens: 10543431680 | elapsed time per iteration (s): 0.74 | learning rate: 2.787E-05 | global batch size: 256 | lm loss: 2.440517E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.723 | TFLOPs: 20.85 | 31: iteration 20120/ 23189 | consumed samples: 5150720 | consumed tokens: 10548674560 | elapsed time per iteration (s): 0.74 | learning rate: 2.782E-05 | global batch size: 256 | lm loss: 2.453269E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.875 | TFLOPs: 21.05 | 31: iteration 20130/ 23189 | consumed samples: 5153280 | consumed tokens: 10553917440 | elapsed time per iteration (s): 0.72 | learning rate: 2.777E-05 | global batch size: 256 | lm loss: 2.431786E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.341 | TFLOPs: 21.38 | 31: iteration 20140/ 23189 | consumed samples: 5155840 | consumed tokens: 10559160320 | elapsed time per iteration (s): 0.68 | learning rate: 2.772E-05 | global batch size: 256 | lm loss: 2.424428E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 376.963 | TFLOPs: 22.81 | 31: iteration 20150/ 23189 | consumed samples: 5158400 | consumed tokens: 10564403200 | elapsed time per iteration (s): 0.70 | learning rate: 2.767E-05 | global batch size: 256 | lm loss: 2.439631E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.471 | TFLOPs: 22.11 | 31: iteration 20160/ 23189 | consumed samples: 5160960 | consumed tokens: 10569646080 | elapsed time per iteration (s): 0.71 | learning rate: 2.762E-05 | global batch size: 256 | lm loss: 2.438317E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.989 | TFLOPs: 21.90 | 31: iteration 20170/ 23189 | consumed samples: 5163520 | consumed tokens: 10574888960 | elapsed time per iteration (s): 0.69 | learning rate: 2.757E-05 | global batch size: 256 | lm loss: 2.430329E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.036 | TFLOPs: 22.45 | 31: iteration 20180/ 23189 | consumed samples: 5166080 | consumed tokens: 10580131840 | elapsed time per iteration (s): 0.70 | learning rate: 2.752E-05 | global batch size: 256 | lm loss: 2.442883E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.345 | TFLOPs: 22.04 | 31: iteration 20190/ 23189 | consumed samples: 5168640 | consumed tokens: 10585374720 | elapsed time per iteration (s): 0.75 | learning rate: 2.747E-05 | global batch size: 256 | lm loss: 2.436921E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.852 | TFLOPs: 20.56 | 31: iteration 20200/ 23189 | consumed samples: 5171200 | consumed tokens: 10590617600 | elapsed time per iteration (s): 0.78 | learning rate: 2.743E-05 | global batch size: 256 | lm loss: 2.444516E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.338 | TFLOPs: 19.92 | 31: iteration 20210/ 23189 | consumed samples: 5173760 | consumed tokens: 10595860480 | elapsed time per iteration (s): 0.70 | learning rate: 2.738E-05 | global batch size: 256 | lm loss: 2.434457E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.611 | TFLOPs: 22.12 | 31: iteration 20220/ 23189 | consumed samples: 5176320 | consumed tokens: 10601103360 | elapsed time per iteration (s): 0.69 | learning rate: 2.733E-05 | global batch size: 256 | lm loss: 2.433025E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.949 | TFLOPs: 22.50 | 31: iteration 20230/ 23189 | consumed samples: 5178880 | consumed tokens: 10606346240 | elapsed time per iteration (s): 0.70 | learning rate: 2.728E-05 | global batch size: 256 | lm loss: 2.426128E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.055 | TFLOPs: 22.27 | 31: iteration 20240/ 23189 | consumed samples: 5181440 | consumed tokens: 10611589120 | elapsed time per iteration (s): 0.70 | learning rate: 2.723E-05 | global batch size: 256 | lm loss: 2.425139E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.835 | TFLOPs: 22.25 | 31: iteration 20250/ 23189 | consumed samples: 5184000 | consumed tokens: 10616832000 | elapsed time per iteration (s): 0.70 | learning rate: 2.718E-05 | global batch size: 256 | lm loss: 2.434447E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.769 | TFLOPs: 22.01 | 31: iteration 20260/ 23189 | consumed samples: 5186560 | consumed tokens: 10622074880 | elapsed time per iteration (s): 0.71 | learning rate: 2.713E-05 | global batch size: 256 | lm loss: 2.442211E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.540 | TFLOPs: 21.81 | 31: iteration 20270/ 23189 | consumed samples: 5189120 | consumed tokens: 10627317760 | elapsed time per iteration (s): 0.71 | learning rate: 2.709E-05 | global batch size: 256 | lm loss: 2.450693E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.936 | TFLOPs: 21.96 | 31: iteration 20280/ 23189 | consumed samples: 5191680 | consumed tokens: 10632560640 | elapsed time per iteration (s): 0.69 | learning rate: 2.704E-05 | global batch size: 256 | lm loss: 2.438653E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.252 | TFLOPs: 22.58 | 31: iteration 20290/ 23189 | consumed samples: 5194240 | consumed tokens: 10637803520 | elapsed time per iteration (s): 0.73 | learning rate: 2.699E-05 | global batch size: 256 | lm loss: 2.433809E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.986 | TFLOPs: 21.17 | 31: iteration 20300/ 23189 | consumed samples: 5196800 | consumed tokens: 10643046400 | elapsed time per iteration (s): 0.72 | learning rate: 2.694E-05 | global batch size: 256 | lm loss: 2.435124E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.648 | TFLOPs: 21.52 | 31: iteration 20310/ 23189 | consumed samples: 5199360 | consumed tokens: 10648289280 | elapsed time per iteration (s): 0.77 | learning rate: 2.690E-05 | global batch size: 256 | lm loss: 2.426988E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.837 | TFLOPs: 20.08 | 31: iteration 20320/ 23189 | consumed samples: 5201920 | consumed tokens: 10653532160 | elapsed time per iteration (s): 0.70 | learning rate: 2.685E-05 | global batch size: 256 | lm loss: 2.448141E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.188 | TFLOPs: 22.15 | 31: iteration 20330/ 23189 | consumed samples: 5204480 | consumed tokens: 10658775040 | elapsed time per iteration (s): 0.69 | learning rate: 2.680E-05 | global batch size: 256 | lm loss: 2.438784E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.528 | TFLOPs: 22.60 | 31: iteration 20340/ 23189 | consumed samples: 5207040 | consumed tokens: 10664017920 | elapsed time per iteration (s): 0.74 | learning rate: 2.675E-05 | global batch size: 256 | lm loss: 2.439236E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.311 | TFLOPs: 20.89 | 31: iteration 20350/ 23189 | consumed samples: 5209600 | consumed tokens: 10669260800 | elapsed time per iteration (s): 0.73 | learning rate: 2.671E-05 | global batch size: 256 | lm loss: 2.436839E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 348.765 | TFLOPs: 21.10 | 31: iteration 20360/ 23189 | consumed samples: 5212160 | consumed tokens: 10674503680 | elapsed time per iteration (s): 0.68 | learning rate: 2.666E-05 | global batch size: 256 | lm loss: 2.426690E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.840 | TFLOPs: 22.74 | 31: iteration 20370/ 23189 | consumed samples: 5214720 | consumed tokens: 10679746560 | elapsed time per iteration (s): 0.71 | learning rate: 2.661E-05 | global batch size: 256 | lm loss: 2.433125E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.116 | TFLOPs: 21.73 | 31: iteration 20380/ 23189 | consumed samples: 5217280 | consumed tokens: 10684989440 | elapsed time per iteration (s): 0.70 | learning rate: 2.657E-05 | global batch size: 256 | lm loss: 2.437993E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.064 | TFLOPs: 22.27 | 31: iteration 20390/ 23189 | consumed samples: 5219840 | consumed tokens: 10690232320 | elapsed time per iteration (s): 0.72 | learning rate: 2.652E-05 | global batch size: 256 | lm loss: 2.430521E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.557 | TFLOPs: 21.57 | 31: iteration 20400/ 23189 | consumed samples: 5222400 | consumed tokens: 10695475200 | elapsed time per iteration (s): 0.71 | learning rate: 2.648E-05 | global batch size: 256 | lm loss: 2.423653E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.158 | TFLOPs: 21.91 | 31: iteration 20410/ 23189 | consumed samples: 5224960 | consumed tokens: 10700718080 | elapsed time per iteration (s): 0.71 | learning rate: 2.643E-05 | global batch size: 256 | lm loss: 2.441291E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.158 | TFLOPs: 21.79 | 31: iteration 20420/ 23189 | consumed samples: 5227520 | consumed tokens: 10705960960 | elapsed time per iteration (s): 0.68 | learning rate: 2.638E-05 | global batch size: 256 | lm loss: 2.431461E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.180 | TFLOPs: 22.64 | 31: iteration 20430/ 23189 | consumed samples: 5230080 | consumed tokens: 10711203840 | elapsed time per iteration (s): 0.70 | learning rate: 2.634E-05 | global batch size: 256 | lm loss: 2.429134E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.452 | TFLOPs: 21.99 | 31: iteration 20440/ 23189 | consumed samples: 5232640 | consumed tokens: 10716446720 | elapsed time per iteration (s): 0.68 | learning rate: 2.629E-05 | global batch size: 256 | lm loss: 2.433850E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.009 | TFLOPs: 22.63 | 31: iteration 20450/ 23189 | consumed samples: 5235200 | consumed tokens: 10721689600 | elapsed time per iteration (s): 0.69 | learning rate: 2.625E-05 | global batch size: 256 | lm loss: 2.431728E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.933 | TFLOPs: 22.44 | 31: iteration 20460/ 23189 | consumed samples: 5237760 | consumed tokens: 10726932480 | elapsed time per iteration (s): 0.72 | learning rate: 2.620E-05 | global batch size: 256 | lm loss: 2.430417E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.012 | TFLOPs: 21.60 | 31: iteration 20470/ 23189 | consumed samples: 5240320 | consumed tokens: 10732175360 | elapsed time per iteration (s): 0.79 | learning rate: 2.616E-05 | global batch size: 256 | lm loss: 2.439248E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.820 | TFLOPs: 19.65 | 31: iteration 20480/ 23189 | consumed samples: 5242880 | consumed tokens: 10737418240 | elapsed time per iteration (s): 0.83 | learning rate: 2.611E-05 | global batch size: 256 | lm loss: 2.433054E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 307.689 | TFLOPs: 18.61 | 31: iteration 20490/ 23189 | consumed samples: 5245440 | consumed tokens: 10742661120 | elapsed time per iteration (s): 0.79 | learning rate: 2.607E-05 | global batch size: 256 | lm loss: 2.423271E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.730 | TFLOPs: 19.65 | 31: iteration 20500/ 23189 | consumed samples: 5248000 | consumed tokens: 10747904000 | elapsed time per iteration (s): 0.74 | learning rate: 2.603E-05 | global batch size: 256 | lm loss: 2.447651E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.732 | TFLOPs: 21.04 | 31: iteration 20510/ 23189 | consumed samples: 5250560 | consumed tokens: 10753146880 | elapsed time per iteration (s): 0.72 | learning rate: 2.598E-05 | global batch size: 256 | lm loss: 2.439201E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.913 | TFLOPs: 21.53 | 31: iteration 20520/ 23189 | consumed samples: 5253120 | consumed tokens: 10758389760 | elapsed time per iteration (s): 0.69 | learning rate: 2.594E-05 | global batch size: 256 | lm loss: 2.440126E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.506 | TFLOPs: 22.35 | 31: iteration 20530/ 23189 | consumed samples: 5255680 | consumed tokens: 10763632640 | elapsed time per iteration (s): 0.68 | learning rate: 2.589E-05 | global batch size: 256 | lm loss: 2.417889E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.433 | TFLOPs: 22.65 | 31: iteration 20540/ 23189 | consumed samples: 5258240 | consumed tokens: 10768875520 | elapsed time per iteration (s): 0.71 | 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| consumed samples: 5273600 | consumed tokens: 10800332800 | elapsed time per iteration (s): 0.71 | learning rate: 2.559E-05 | global batch size: 256 | lm loss: 2.424726E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.260 | TFLOPs: 21.67 | 31: iteration 20610/ 23189 | consumed samples: 5276160 | consumed tokens: 10805575680 | elapsed time per iteration (s): 0.71 | learning rate: 2.555E-05 | global batch size: 256 | lm loss: 2.420674E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.177 | TFLOPs: 21.85 | 31: iteration 20620/ 23189 | consumed samples: 5278720 | consumed tokens: 10810818560 | elapsed time per iteration (s): 0.67 | learning rate: 2.551E-05 | global batch size: 256 | lm loss: 2.438697E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 379.427 | TFLOPs: 22.95 | 31: iteration 20630/ 23189 | consumed samples: 5281280 | consumed tokens: 10816061440 | elapsed time per iteration (s): 0.74 | learning rate: 2.546E-05 | global batch size: 256 | lm loss: 2.429438E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.984 | TFLOPs: 20.87 | 31: iteration 20640/ 23189 | consumed samples: 5283840 | consumed tokens: 10821304320 | elapsed time per iteration (s): 0.70 | learning rate: 2.542E-05 | global batch size: 256 | lm loss: 2.437243E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 366.756 | TFLOPs: 22.19 | 31: iteration 20650/ 23189 | consumed samples: 5286400 | consumed tokens: 10826547200 | elapsed time per iteration (s): 0.70 | learning rate: 2.538E-05 | global batch size: 256 | lm loss: 2.426528E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.498 | TFLOPs: 21.99 | 31: iteration 20660/ 23189 | consumed samples: 5288960 | consumed tokens: 10831790080 | elapsed time per iteration (s): 0.71 | learning rate: 2.534E-05 | global batch size: 256 | lm loss: 2.433794E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.645 | TFLOPs: 21.82 | 31: iteration 20670/ 23189 | consumed samples: 5291520 | consumed tokens: 10837032960 | elapsed time per iteration (s): 0.68 | learning rate: 2.530E-05 | global batch size: 256 | lm loss: 2.418508E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 375.989 | TFLOPs: 22.75 | 31: iteration 20680/ 23189 | consumed samples: 5294080 | consumed tokens: 10842275840 | elapsed time per iteration (s): 0.69 | learning rate: 2.525E-05 | global batch size: 256 | lm loss: 2.430903E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.677 | TFLOPs: 22.49 | 31: iteration 20690/ 23189 | consumed samples: 5296640 | consumed tokens: 10847518720 | elapsed time per iteration (s): 0.71 | learning rate: 2.521E-05 | global batch size: 256 | lm loss: 2.434141E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.139 | TFLOPs: 21.91 | 31: iteration 20700/ 23189 | consumed samples: 5299200 | consumed tokens: 10852761600 | elapsed time per iteration (s): 0.68 | learning rate: 2.517E-05 | global batch size: 256 | lm loss: 2.437370E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.836 | TFLOPs: 22.86 | 31: iteration 20710/ 23189 | consumed samples: 5301760 | consumed tokens: 10858004480 | elapsed time per iteration (s): 0.71 | learning rate: 2.513E-05 | global batch size: 256 | lm loss: 2.431477E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.690 | TFLOPs: 21.94 | 31: iteration 20720/ 23189 | consumed samples: 5304320 | consumed tokens: 10863247360 | elapsed time per iteration (s): 0.69 | learning rate: 2.509E-05 | global batch size: 256 | lm loss: 2.419274E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.564 | TFLOPs: 22.54 | 31: iteration 20730/ 23189 | consumed samples: 5306880 | consumed tokens: 10868490240 | elapsed time per iteration (s): 0.70 | learning rate: 2.505E-05 | global batch size: 256 | lm loss: 2.440273E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.061 | TFLOPs: 22.09 | 31: iteration 20740/ 23189 | consumed samples: 5309440 | consumed tokens: 10873733120 | elapsed time per iteration (s): 0.71 | learning rate: 2.501E-05 | global batch size: 256 | lm loss: 2.427424E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.065 | TFLOPs: 21.96 | 31: iteration 20750/ 23189 | consumed samples: 5312000 | consumed tokens: 10878976000 | elapsed time per iteration (s): 0.70 | learning rate: 2.497E-05 | global batch size: 256 | lm loss: 2.422303E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.367 | TFLOPs: 22.04 | 31: iteration 20760/ 23189 | consumed samples: 5314560 | consumed tokens: 10884218880 | elapsed time per iteration (s): 0.69 | learning rate: 2.493E-05 | global batch size: 256 | lm loss: 2.428515E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.929 | TFLOPs: 22.50 | 31: iteration 20770/ 23189 | consumed samples: 5317120 | consumed tokens: 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| consumed samples: 5324800 | consumed tokens: 10905190400 | elapsed time per iteration (s): 0.68 | learning rate: 2.477E-05 | global batch size: 256 | lm loss: 2.413383E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.275 | TFLOPs: 22.64 | 31: iteration 20810/ 23189 | consumed samples: 5327360 | consumed tokens: 10910433280 | elapsed time per iteration (s): 0.71 | learning rate: 2.473E-05 | global batch size: 256 | lm loss: 2.435562E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.566 | TFLOPs: 21.69 | 31: iteration 20820/ 23189 | consumed samples: 5329920 | consumed tokens: 10915676160 | elapsed time per iteration (s): 0.76 | learning rate: 2.469E-05 | global batch size: 256 | lm loss: 2.438686E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.578 | TFLOPs: 20.30 | 31: iteration 20830/ 23189 | consumed samples: 5332480 | consumed tokens: 10920919040 | elapsed time per iteration (s): 0.76 | learning rate: 2.465E-05 | global batch size: 256 | lm loss: 2.422331E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.972 | TFLOPs: 20.26 | 31: iteration 20840/ 23189 | consumed samples: 5335040 | consumed tokens: 10926161920 | elapsed time per iteration (s): 0.77 | learning rate: 2.461E-05 | global batch size: 256 | lm loss: 2.419986E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.187 | TFLOPs: 20.16 | 31: iteration 20850/ 23189 | consumed samples: 5337600 | consumed tokens: 10931404800 | elapsed time per iteration (s): 0.77 | learning rate: 2.457E-05 | global batch size: 256 | lm loss: 2.432133E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.009 | TFLOPs: 20.03 | 31: iteration 20860/ 23189 | consumed samples: 5340160 | consumed tokens: 10936647680 | elapsed time per iteration (s): 0.76 | learning rate: 2.453E-05 | global batch size: 256 | lm loss: 2.437645E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.359 | TFLOPs: 20.29 | 31: iteration 20870/ 23189 | consumed samples: 5342720 | consumed tokens: 10941890560 | elapsed time per iteration (s): 0.76 | learning rate: 2.449E-05 | global batch size: 256 | lm loss: 2.429147E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.263 | TFLOPs: 20.40 | 31: iteration 20880/ 23189 | consumed samples: 5345280 | consumed tokens: 10947133440 | elapsed time per iteration (s): 0.79 | learning rate: 2.446E-05 | global batch size: 256 | lm loss: 2.417088E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 323.589 | TFLOPs: 19.58 | 31: iteration 20890/ 23189 | consumed samples: 5347840 | consumed tokens: 10952376320 | elapsed time per iteration (s): 0.78 | learning rate: 2.442E-05 | global batch size: 256 | lm loss: 2.422289E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.709 | TFLOPs: 19.95 | 31: iteration 20900/ 23189 | consumed samples: 5350400 | consumed tokens: 10957619200 | elapsed time per iteration (s): 0.77 | learning rate: 2.438E-05 | global batch size: 256 | lm loss: 2.423293E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.973 | TFLOPs: 20.02 | 31: iteration 20910/ 23189 | consumed samples: 5352960 | consumed tokens: 10962862080 | elapsed time per iteration (s): 0.79 | learning rate: 2.434E-05 | global batch size: 256 | lm loss: 2.428034E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 324.089 | TFLOPs: 19.61 | 31: iteration 20920/ 23189 | consumed samples: 5355520 | consumed tokens: 10968104960 | elapsed time per iteration (s): 0.78 | learning rate: 2.430E-05 | global batch size: 256 | lm loss: 2.433292E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.356 | TFLOPs: 19.86 | 31: iteration 20930/ 23189 | consumed samples: 5358080 | consumed tokens: 10973347840 | elapsed time per iteration (s): 0.76 | learning rate: 2.427E-05 | global batch size: 256 | lm loss: 2.432755E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.351 | TFLOPs: 20.29 | 31: iteration 20940/ 23189 | consumed samples: 5360640 | consumed tokens: 10978590720 | elapsed time per iteration (s): 0.78 | learning rate: 2.423E-05 | global batch size: 256 | lm loss: 2.425215E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.728 | TFLOPs: 19.77 | 31: iteration 20950/ 23189 | consumed samples: 5363200 | consumed tokens: 10983833600 | elapsed time per iteration (s): 0.77 | learning rate: 2.419E-05 | global batch size: 256 | lm loss: 2.425795E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.754 | TFLOPs: 20.19 | 31: iteration 20960/ 23189 | consumed samples: 5365760 | consumed tokens: 10989076480 | elapsed time per iteration (s): 0.76 | learning rate: 2.416E-05 | global batch size: 256 | lm loss: 2.418664E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.033 | TFLOPs: 20.27 | 31: iteration 20970/ 23189 | consumed samples: 5368320 | consumed tokens: 10994319360 | elapsed time per iteration (s): 0.77 | learning rate: 2.412E-05 | global batch size: 256 | lm loss: 2.437595E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.538 | TFLOPs: 20.06 | 31: iteration 20980/ 23189 | consumed samples: 5370880 | consumed tokens: 10999562240 | elapsed time per iteration (s): 0.76 | learning rate: 2.408E-05 | global batch size: 256 | lm loss: 2.425754E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.131 | TFLOPs: 20.27 | 31: iteration 20990/ 23189 | consumed samples: 5373440 | consumed tokens: 11004805120 | elapsed time per iteration (s): 0.77 | learning rate: 2.404E-05 | global batch size: 256 | lm loss: 2.426240E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.692 | TFLOPs: 20.19 | 31: iteration 21000/ 23189 | consumed samples: 5376000 | consumed tokens: 11010048000 | elapsed time per iteration (s): 0.76 | learning rate: 2.401E-05 | global batch size: 256 | lm loss: 2.426117E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 334.822 | TFLOPs: 20.26 | 31: iteration 21010/ 23189 | consumed samples: 5378560 | consumed tokens: 11015290880 | elapsed time per iteration (s): 0.76 | learning rate: 2.397E-05 | global batch size: 256 | lm loss: 2.424013E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 335.435 | TFLOPs: 20.29 | 31: iteration 21020/ 23189 | consumed samples: 5381120 | consumed tokens: 11020533760 | elapsed time per iteration (s): 0.78 | learning rate: 2.394E-05 | global batch size: 256 | lm loss: 2.431291E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.119 | TFLOPs: 19.97 | 31: iteration 21030/ 23189 | consumed samples: 5383680 | consumed tokens: 11025776640 | elapsed time per iteration (s): 0.77 | learning rate: 2.390E-05 | global batch size: 256 | lm loss: 2.433864E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 331.065 | TFLOPs: 20.03 | 31: iteration 21040/ 23189 | consumed samples: 5386240 | consumed tokens: 11031019520 | elapsed time per iteration (s): 0.78 | learning rate: 2.386E-05 | global batch size: 256 | lm loss: 2.433032E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.428 | TFLOPs: 19.75 | 31: iteration 21050/ 23189 | consumed samples: 5388800 | consumed tokens: 11036262400 | elapsed time per iteration (s): 0.77 | learning rate: 2.383E-05 | global batch size: 256 | lm loss: 2.416387E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.122 | TFLOPs: 20.15 | 31: iteration 21060/ 23189 | consumed samples: 5391360 | consumed tokens: 11041505280 | elapsed time per iteration (s): 0.79 | learning rate: 2.379E-05 | global batch size: 256 | lm loss: 2.419670E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.264 | TFLOPs: 19.68 | 31: iteration 21070/ 23189 | consumed samples: 5393920 | consumed tokens: 11046748160 | elapsed time per iteration (s): 0.77 | learning rate: 2.376E-05 | global batch size: 256 | lm loss: 2.429872E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.314 | TFLOPs: 20.16 | 31: iteration 21080/ 23189 | consumed samples: 5396480 | consumed tokens: 11051991040 | elapsed time per iteration (s): 0.75 | learning rate: 2.372E-05 | global batch size: 256 | lm loss: 2.425860E+00 | grad norm: 0.337 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.186 | TFLOPs: 20.76 | 31: iteration 21090/ 23189 | consumed samples: 5399040 | consumed tokens: 11057233920 | elapsed time per iteration (s): 0.69 | learning rate: 2.369E-05 | global batch size: 256 | lm loss: 2.408474E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.244 | TFLOPs: 22.46 | 31: iteration 21100/ 23189 | consumed samples: 5401600 | consumed tokens: 11062476800 | elapsed time per iteration (s): 0.73 | learning rate: 2.365E-05 | global batch size: 256 | lm loss: 2.417135E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.999 | TFLOPs: 21.30 | 31: iteration 21110/ 23189 | consumed samples: 5404160 | consumed tokens: 11067719680 | elapsed time per iteration (s): 0.71 | learning rate: 2.362E-05 | global batch size: 256 | lm loss: 2.421986E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.786 | TFLOPs: 21.95 | 31: iteration 21120/ 23189 | consumed samples: 5406720 | consumed tokens: 11072962560 | elapsed time per iteration (s): 0.74 | learning rate: 2.358E-05 | global batch size: 256 | lm loss: 2.418853E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.331 | TFLOPs: 20.83 | 31: iteration 21130/ 23189 | consumed samples: 5409280 | consumed tokens: 11078205440 | elapsed time per iteration (s): 0.69 | learning rate: 2.355E-05 | global batch size: 256 | lm loss: 2.422139E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.550 | TFLOPs: 22.36 | 31: iteration 21140/ 23189 | consumed samples: 5411840 | consumed tokens: 11083448320 | elapsed time per iteration (s): 0.69 | learning rate: 2.352E-05 | global batch size: 256 | lm loss: 2.426286E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.475 | TFLOPs: 22.41 | 31: iteration 21150/ 23189 | consumed samples: 5414400 | consumed tokens: 11088691200 | elapsed time per iteration (s): 0.72 | learning rate: 2.348E-05 | global batch size: 256 | lm loss: 2.428260E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.596 | TFLOPs: 21.45 | 31: iteration 21160/ 23189 | consumed samples: 5416960 | consumed tokens: 11093934080 | elapsed time per iteration (s): 0.69 | learning rate: 2.345E-05 | global batch size: 256 | lm loss: 2.412687E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.017 | TFLOPs: 22.57 | 31: iteration 21170/ 23189 | consumed samples: 5419520 | consumed tokens: 11099176960 | elapsed time per iteration (s): 0.72 | learning rate: 2.341E-05 | global batch size: 256 | lm loss: 2.418532E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.636 | TFLOPs: 21.39 | 31: iteration 21180/ 23189 | consumed samples: 5422080 | consumed tokens: 11104419840 | elapsed time per iteration (s): 0.72 | learning rate: 2.338E-05 | global batch size: 256 | lm loss: 2.421090E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.032 | TFLOPs: 21.66 | 31: iteration 21190/ 23189 | consumed samples: 5424640 | consumed tokens: 11109662720 | elapsed time per iteration (s): 0.69 | learning rate: 2.335E-05 | global batch size: 256 | lm loss: 2.414613E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.356 | TFLOPs: 22.35 | 31: iteration 21200/ 23189 | consumed samples: 5427200 | consumed tokens: 11114905600 | elapsed time per iteration (s): 0.72 | learning rate: 2.331E-05 | global batch size: 256 | lm loss: 2.419845E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.736 | TFLOPs: 21.46 | 31: iteration 21210/ 23189 | consumed samples: 5429760 | consumed tokens: 11120148480 | elapsed time per iteration (s): 0.69 | learning rate: 2.328E-05 | global batch size: 256 | lm loss: 2.421843E+00 | grad norm: 0.335 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.256 | TFLOPs: 22.46 | 31: iteration 21220/ 23189 | consumed samples: 5432320 | consumed tokens: 11125391360 | elapsed time per iteration (s): 0.74 | learning rate: 2.325E-05 | global batch size: 256 | lm loss: 2.421905E+00 | grad norm: 0.340 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.358 | TFLOPs: 20.95 | 31: iteration 21230/ 23189 | consumed samples: 5434880 | consumed tokens: 11130634240 | elapsed time per iteration (s): 0.69 | learning rate: 2.322E-05 | global batch size: 256 | lm loss: 2.426517E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.950 | TFLOPs: 22.32 | 31: iteration 21240/ 23189 | consumed samples: 5437440 | consumed tokens: 11135877120 | elapsed time per iteration (s): 0.79 | learning rate: 2.318E-05 | global batch size: 256 | lm loss: 2.420975E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.396 | TFLOPs: 19.50 | 31: iteration 21250/ 23189 | consumed samples: 5440000 | consumed tokens: 11141120000 | elapsed time per iteration (s): 0.73 | learning rate: 2.315E-05 | global batch size: 256 | lm loss: 2.411134E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.835 | TFLOPs: 21.29 | 31: iteration 21260/ 23189 | consumed samples: 5442560 | consumed tokens: 11146362880 | elapsed time per iteration (s): 0.71 | learning rate: 2.312E-05 | global batch size: 256 | lm loss: 2.416828E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.864 | TFLOPs: 21.95 | 31: iteration 21270/ 23189 | consumed samples: 5445120 | consumed tokens: 11151605760 | elapsed time per iteration (s): 0.74 | learning rate: 2.309E-05 | global batch size: 256 | lm loss: 2.417410E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.226 | TFLOPs: 20.89 | 31: iteration 21280/ 23189 | consumed samples: 5447680 | consumed tokens: 11156848640 | elapsed time per iteration (s): 0.74 | learning rate: 2.305E-05 | global batch size: 256 | lm loss: 2.425335E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.443 | TFLOPs: 20.84 | 31: iteration 21290/ 23189 | consumed samples: 5450240 | consumed tokens: 11162091520 | elapsed time per iteration (s): 0.80 | learning rate: 2.302E-05 | global batch size: 256 | lm loss: 2.412642E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 320.738 | TFLOPs: 19.40 | 31: iteration 21300/ 23189 | consumed samples: 5452800 | consumed tokens: 11167334400 | elapsed time per iteration (s): 0.71 | learning rate: 2.299E-05 | global batch size: 256 | lm loss: 2.428614E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.667 | TFLOPs: 21.70 | 31: iteration 21310/ 23189 | consumed samples: 5455360 | consumed tokens: 11172577280 | elapsed time per iteration (s): 0.71 | learning rate: 2.296E-05 | global batch size: 256 | lm loss: 2.434323E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.784 | TFLOPs: 21.89 | 31: iteration 21320/ 23189 | consumed samples: 5457920 | consumed tokens: 11177820160 | elapsed time per iteration (s): 0.71 | learning rate: 2.293E-05 | global batch size: 256 | lm loss: 2.403141E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.255 | TFLOPs: 21.79 | 31: iteration 21330/ 23189 | consumed samples: 5460480 | consumed tokens: 11183063040 | elapsed time per iteration (s): 0.72 | learning rate: 2.290E-05 | global batch size: 256 | lm loss: 2.408511E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.733 | TFLOPs: 21.58 | 31: iteration 21340/ 23189 | consumed samples: 5463040 | consumed tokens: 11188305920 | elapsed time per iteration (s): 0.71 | learning rate: 2.287E-05 | global batch size: 256 | lm loss: 2.428678E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.125 | TFLOPs: 21.91 | 31: iteration 21350/ 23189 | consumed samples: 5465600 | consumed tokens: 11193548800 | elapsed time per iteration (s): 0.72 | learning rate: 2.284E-05 | global batch size: 256 | lm loss: 2.423802E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.991 | TFLOPs: 21.60 | 31: iteration 21360/ 23189 | consumed samples: 5468160 | consumed tokens: 11198791680 | elapsed time per iteration (s): 0.71 | learning rate: 2.280E-05 | global batch size: 256 | lm loss: 2.413242E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.270 | TFLOPs: 21.92 | 31: iteration 21370/ 23189 | consumed samples: 5470720 | consumed tokens: 11204034560 | elapsed time per iteration (s): 0.73 | learning rate: 2.277E-05 | global batch size: 256 | lm loss: 2.425788E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.424 | TFLOPs: 21.14 | 31: iteration 21380/ 23189 | consumed samples: 5473280 | consumed tokens: 11209277440 | elapsed time per iteration (s): 0.72 | learning rate: 2.274E-05 | global batch size: 256 | lm loss: 2.427171E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.681 | TFLOPs: 21.58 | 31: iteration 21390/ 23189 | consumed samples: 5475840 | consumed tokens: 11214520320 | elapsed time per iteration (s): 0.71 | learning rate: 2.271E-05 | global batch size: 256 | lm loss: 2.415099E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.557 | TFLOPs: 21.69 | 31: iteration 21400/ 23189 | consumed samples: 5478400 | consumed tokens: 11219763200 | elapsed time per iteration (s): 0.73 | learning rate: 2.268E-05 | global batch size: 256 | lm loss: 2.413074E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.841 | TFLOPs: 21.29 | 31: iteration 21410/ 23189 | consumed samples: 5480960 | consumed tokens: 11225006080 | elapsed time per iteration (s): 0.70 | learning rate: 2.265E-05 | global batch size: 256 | lm loss: 2.423115E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.635 | TFLOPs: 22.12 | 31: iteration 21420/ 23189 | consumed samples: 5483520 | consumed tokens: 11230248960 | elapsed time per iteration (s): 0.71 | learning rate: 2.262E-05 | global batch size: 256 | lm loss: 2.410014E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.598 | TFLOPs: 21.75 | 31: iteration 21430/ 23189 | consumed samples: 5486080 | consumed tokens: 11235491840 | elapsed time per iteration (s): 0.72 | learning rate: 2.260E-05 | global batch size: 256 | lm loss: 2.412244E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.824 | TFLOPs: 21.65 | 31: iteration 21440/ 23189 | consumed samples: 5488640 | consumed tokens: 11240734720 | elapsed time per iteration (s): 0.69 | learning rate: 2.257E-05 | global batch size: 256 | lm loss: 2.430482E+00 | grad norm: 0.336 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.067 | TFLOPs: 22.51 | 31: iteration 21450/ 23189 | consumed samples: 5491200 | consumed tokens: 11245977600 | elapsed time per iteration (s): 0.72 | learning rate: 2.254E-05 | global batch size: 256 | lm loss: 2.426183E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.225 | TFLOPs: 21.43 | 31: iteration 21460/ 23189 | consumed samples: 5493760 | consumed tokens: 11251220480 | elapsed time per iteration (s): 0.72 | learning rate: 2.251E-05 | global batch size: 256 | lm loss: 2.410712E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.764 | TFLOPs: 21.64 | 31: iteration 21470/ 23189 | consumed samples: 5496320 | consumed tokens: 11256463360 | elapsed time per iteration (s): 0.73 | learning rate: 2.248E-05 | global batch size: 256 | lm loss: 2.406437E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.448 | TFLOPs: 21.32 | 31: iteration 21480/ 23189 | consumed samples: 5498880 | consumed tokens: 11261706240 | elapsed time per iteration (s): 0.70 | learning rate: 2.245E-05 | global batch size: 256 | lm loss: 2.419493E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.795 | TFLOPs: 22.13 | 31: iteration 21490/ 23189 | consumed samples: 5501440 | consumed tokens: 11266949120 | elapsed time per iteration (s): 0.69 | learning rate: 2.242E-05 | global batch size: 256 | lm loss: 2.408247E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.398 | TFLOPs: 22.29 | 31: iteration 21500/ 23189 | consumed samples: 5504000 | consumed tokens: 11272192000 | elapsed time per iteration (s): 0.71 | learning rate: 2.239E-05 | global batch size: 256 | lm loss: 2.416754E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.324 | TFLOPs: 21.80 | 31: iteration 21510/ 23189 | consumed samples: 5506560 | consumed tokens: 11277434880 | elapsed time per iteration (s): 0.70 | learning rate: 2.237E-05 | global batch size: 256 | lm loss: 2.409581E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.915 | TFLOPs: 22.08 | 31: iteration 21520/ 23189 | consumed samples: 5509120 | consumed tokens: 11282677760 | elapsed time per iteration (s): 0.69 | learning rate: 2.234E-05 | global batch size: 256 | lm loss: 2.405269E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.920 | TFLOPs: 22.44 | 31: iteration 21530/ 23189 | consumed samples: 5511680 | consumed tokens: 11287920640 | elapsed time per iteration (s): 0.69 | learning rate: 2.231E-05 | global batch size: 256 | lm loss: 2.422002E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.440 | TFLOPs: 22.41 | 31: iteration 21540/ 23189 | consumed samples: 5514240 | consumed tokens: 11293163520 | elapsed time per iteration (s): 0.71 | learning rate: 2.228E-05 | global batch size: 256 | lm loss: 2.419187E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.986 | TFLOPs: 21.72 | 31: iteration 21550/ 23189 | consumed samples: 5516800 | consumed tokens: 11298406400 | elapsed time per iteration (s): 0.73 | learning rate: 2.225E-05 | global batch size: 256 | lm loss: 2.403621E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.057 | TFLOPs: 21.36 | 31: iteration 21560/ 23189 | consumed samples: 5519360 | consumed tokens: 11303649280 | elapsed time per iteration (s): 0.71 | learning rate: 2.223E-05 | global batch size: 256 | lm loss: 2.421057E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.441 | TFLOPs: 21.81 | 31: iteration 21570/ 23189 | consumed samples: 5521920 | consumed tokens: 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| consumed samples: 5529600 | consumed tokens: 11324620800 | elapsed time per iteration (s): 0.72 | learning rate: 2.212E-05 | global batch size: 256 | lm loss: 2.404033E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.423 | TFLOPs: 21.38 | 31: iteration 21610/ 23189 | consumed samples: 5532160 | consumed tokens: 11329863680 | elapsed time per iteration (s): 0.69 | learning rate: 2.209E-05 | global batch size: 256 | lm loss: 2.428747E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.941 | TFLOPs: 22.56 | 31: iteration 21620/ 23189 | consumed samples: 5534720 | consumed tokens: 11335106560 | elapsed time per iteration (s): 0.74 | learning rate: 2.207E-05 | global batch size: 256 | lm loss: 2.396131E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.361 | TFLOPs: 20.83 | 31: iteration 21630/ 23189 | consumed samples: 5537280 | consumed tokens: 11340349440 | elapsed time per iteration (s): 0.70 | learning rate: 2.204E-05 | global batch size: 256 | lm loss: 2.401477E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.069 | TFLOPs: 22.03 | 31: iteration 21640/ 23189 | consumed samples: 5539840 | consumed tokens: 11345592320 | elapsed time per iteration (s): 0.76 | learning rate: 2.201E-05 | global batch size: 256 | lm loss: 2.407630E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.941 | TFLOPs: 20.38 | 31: iteration 21650/ 23189 | consumed samples: 5542400 | consumed tokens: 11350835200 | elapsed time per iteration (s): 0.72 | learning rate: 2.199E-05 | global batch size: 256 | lm loss: 2.401363E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.023 | TFLOPs: 21.48 | 31: iteration 21660/ 23189 | consumed samples: 5544960 | consumed tokens: 11356078080 | elapsed time per iteration (s): 0.70 | learning rate: 2.196E-05 | global batch size: 256 | lm loss: 2.415763E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.806 | TFLOPs: 22.25 | 31: iteration 21670/ 23189 | consumed samples: 5547520 | consumed tokens: 11361320960 | elapsed time per iteration (s): 0.76 | learning rate: 2.194E-05 | global batch size: 256 | lm loss: 2.411979E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.399 | TFLOPs: 20.41 | 31: iteration 21680/ 23189 | consumed samples: 5550080 | consumed tokens: 11366563840 | elapsed time per iteration (s): 0.72 | learning rate: 2.191E-05 | global batch size: 256 | lm loss: 2.413984E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.776 | TFLOPs: 21.58 | 31: iteration 21690/ 23189 | consumed samples: 5552640 | consumed tokens: 11371806720 | elapsed time per iteration (s): 0.69 | learning rate: 2.189E-05 | global batch size: 256 | lm loss: 2.407373E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.063 | TFLOPs: 22.33 | 31: iteration 21700/ 23189 | consumed samples: 5555200 | consumed tokens: 11377049600 | elapsed time per iteration (s): 0.69 | learning rate: 2.186E-05 | global batch size: 256 | lm loss: 2.422901E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.662 | TFLOPs: 22.42 | 31: iteration 21710/ 23189 | consumed samples: 5557760 | consumed tokens: 11382292480 | elapsed time per iteration (s): 0.81 | learning rate: 2.184E-05 | global batch size: 256 | lm loss: 2.402040E+00 | grad norm: 0.339 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 315.676 | TFLOPs: 19.10 | 31: iteration 21720/ 23189 | consumed samples: 5560320 | consumed tokens: 11387535360 | elapsed time per iteration (s): 0.75 | learning rate: 2.181E-05 | global batch size: 256 | lm loss: 2.421396E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 343.601 | TFLOPs: 20.79 | 31: iteration 21730/ 23189 | consumed samples: 5562880 | consumed tokens: 11392778240 | elapsed time per iteration (s): 0.70 | learning rate: 2.179E-05 | global batch size: 256 | lm loss: 2.412751E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.305 | TFLOPs: 22.04 | 31: iteration 21740/ 23189 | consumed samples: 5565440 | consumed tokens: 11398021120 | elapsed time per iteration (s): 0.70 | learning rate: 2.176E-05 | global batch size: 256 | lm loss: 2.399478E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.710 | TFLOPs: 22.12 | 31: iteration 21750/ 23189 | consumed samples: 5568000 | consumed tokens: 11403264000 | elapsed time per iteration (s): 0.73 | learning rate: 2.174E-05 | global batch size: 256 | lm loss: 2.417350E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.560 | TFLOPs: 21.33 | 31: iteration 21760/ 23189 | consumed samples: 5570560 | consumed tokens: 11408506880 | elapsed time per iteration (s): 0.75 | learning rate: 2.172E-05 | global batch size: 256 | lm loss: 2.407191E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.508 | TFLOPs: 20.72 | 31: iteration 21770/ 23189 | consumed samples: 5573120 | consumed tokens: 11413749760 | elapsed time per iteration (s): 0.73 | learning rate: 2.169E-05 | global batch size: 256 | lm loss: 2.411100E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.014 | TFLOPs: 21.24 | 31: iteration 21780/ 23189 | consumed samples: 5575680 | consumed tokens: 11418992640 | elapsed time per iteration (s): 0.75 | learning rate: 2.167E-05 | global batch size: 256 | lm loss: 2.410691E+00 | grad norm: 0.341 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.850 | TFLOPs: 20.74 | 31: iteration 21790/ 23189 | consumed samples: 5578240 | consumed tokens: 11424235520 | elapsed time per iteration (s): 0.72 | learning rate: 2.164E-05 | global batch size: 256 | lm loss: 2.399592E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.129 | TFLOPs: 21.61 | 31: iteration 21800/ 23189 | consumed samples: 5580800 | consumed tokens: 11429478400 | elapsed time per iteration (s): 0.73 | learning rate: 2.162E-05 | global batch size: 256 | lm loss: 2.401381E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.141 | TFLOPs: 21.24 | 31: iteration 21810/ 23189 | consumed samples: 5583360 | consumed tokens: 11434721280 | elapsed time per iteration (s): 0.73 | learning rate: 2.160E-05 | global batch size: 256 | lm loss: 2.407817E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.307 | TFLOPs: 21.25 | 31: iteration 21820/ 23189 | consumed samples: 5585920 | consumed tokens: 11439964160 | elapsed time per iteration (s): 0.71 | learning rate: 2.158E-05 | global batch size: 256 | lm loss: 2.399992E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.166 | TFLOPs: 21.67 | 31: iteration 21830/ 23189 | consumed samples: 5588480 | consumed tokens: 11445207040 | elapsed time per iteration (s): 0.70 | learning rate: 2.155E-05 | global batch size: 256 | lm loss: 2.408665E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.590 | TFLOPs: 22.12 | 31: iteration 21840/ 23189 | consumed samples: 5591040 | consumed tokens: 11450449920 | elapsed time per iteration (s): 0.71 | learning rate: 2.153E-05 | global batch size: 256 | lm loss: 2.407311E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.169 | TFLOPs: 21.79 | 31: iteration 21850/ 23189 | consumed samples: 5593600 | consumed tokens: 11455692800 | elapsed time per iteration (s): 0.69 | learning rate: 2.151E-05 | global batch size: 256 | lm loss: 2.395266E+00 | grad norm: 0.342 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.461 | TFLOPs: 22.53 | 31: iteration 21860/ 23189 | consumed samples: 5596160 | consumed tokens: 11460935680 | elapsed time per iteration (s): 0.72 | learning rate: 2.148E-05 | global batch size: 256 | lm loss: 2.411215E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 355.359 | TFLOPs: 21.50 | 31: iteration 21870/ 23189 | consumed samples: 5598720 | consumed tokens: 11466178560 | elapsed time per iteration (s): 0.72 | learning rate: 2.146E-05 | global batch size: 256 | lm loss: 2.415178E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.984 | TFLOPs: 21.66 | 31: iteration 21880/ 23189 | consumed samples: 5601280 | consumed tokens: 11471421440 | elapsed time per iteration (s): 0.74 | learning rate: 2.144E-05 | global batch size: 256 | lm loss: 2.422123E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.207 | TFLOPs: 21.01 | 31: iteration 21890/ 23189 | consumed samples: 5603840 | consumed tokens: 11476664320 | elapsed time per iteration (s): 0.73 | learning rate: 2.142E-05 | global batch size: 256 | lm loss: 2.408793E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.654 | TFLOPs: 21.33 | 31: iteration 21900/ 23189 | consumed samples: 5606400 | consumed tokens: 11481907200 | elapsed time per iteration (s): 0.73 | learning rate: 2.140E-05 | global batch size: 256 | lm loss: 2.418730E+00 | grad norm: 0.343 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.781 | TFLOPs: 21.22 | 31: iteration 21910/ 23189 | consumed samples: 5608960 | consumed tokens: 11487150080 | elapsed time per iteration (s): 0.74 | learning rate: 2.138E-05 | global batch size: 256 | lm loss: 2.396834E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.852 | TFLOPs: 20.86 | 31: iteration 21920/ 23189 | consumed samples: 5611520 | consumed tokens: 11492392960 | elapsed time per iteration (s): 0.71 | learning rate: 2.135E-05 | global batch size: 256 | lm loss: 2.398196E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.477 | TFLOPs: 21.75 | 31: iteration 21930/ 23189 | consumed samples: 5614080 | consumed tokens: 11497635840 | elapsed time per iteration (s): 0.71 | learning rate: 2.133E-05 | global batch size: 256 | lm loss: 2.406452E+00 | grad norm: 0.338 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.522 | TFLOPs: 21.75 | 31: iteration 21940/ 23189 | consumed samples: 5616640 | consumed tokens: 11502878720 | elapsed time per iteration (s): 0.74 | learning rate: 2.131E-05 | global batch size: 256 | lm loss: 2.402356E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.570 | TFLOPs: 20.91 | 31: iteration 21950/ 23189 | consumed samples: 5619200 | consumed tokens: 11508121600 | elapsed time per iteration (s): 0.71 | learning rate: 2.129E-05 | global batch size: 256 | lm loss: 2.403549E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.045 | TFLOPs: 21.96 | 31: iteration 21960/ 23189 | consumed samples: 5621760 | consumed tokens: 11513364480 | elapsed time per iteration (s): 0.70 | learning rate: 2.127E-05 | global batch size: 256 | lm loss: 2.400399E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 364.607 | TFLOPs: 22.06 | 31: iteration 21970/ 23189 | consumed samples: 5624320 | consumed tokens: 11518607360 | elapsed time per iteration (s): 0.73 | learning rate: 2.125E-05 | global batch size: 256 | lm loss: 2.400682E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.459 | TFLOPs: 21.26 | 31: iteration 21980/ 23189 | consumed samples: 5626880 | consumed tokens: 11523850240 | elapsed time per iteration (s): 0.73 | learning rate: 2.123E-05 | global batch size: 256 | lm loss: 2.394189E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.240 | TFLOPs: 21.31 | 31: iteration 21990/ 23189 | consumed samples: 5629440 | consumed tokens: 11529093120 | elapsed time per iteration (s): 0.71 | learning rate: 2.121E-05 | global batch size: 256 | lm loss: 2.402576E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.945 | TFLOPs: 21.78 | 0: [2023-03-16 02:18:06,335] [INFO] [logging.py:68:log_dist] [Rank 0] step=22000, skipped=0, lr=[2.118896643108558e-05, 2.118896643108558e-05, 2.118896643108558e-05], mom=[(0.9, 0.999), (0.9, 0.999), (0.9, 0.999)] 31: iteration 22000/ 23189 | consumed samples: 5632000 | consumed tokens: 11534336000 | elapsed time per iteration (s): 0.68 | learning rate: 2.119E-05 | global batch size: 256 | lm loss: 2.412867E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 374.610 | TFLOPs: 22.66 | 0: steps: 22000 loss: 2.4025 iter time (s): 0.720 samples/sec: 355.537 31: iteration 22010/ 23189 | consumed samples: 5634560 | consumed tokens: 11539578880 | elapsed time per iteration (s): 0.78 | learning rate: 2.117E-05 | global batch size: 256 | lm loss: 2.406497E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.833 | TFLOPs: 19.77 | 31: iteration 22020/ 23189 | consumed samples: 5637120 | consumed tokens: 11544821760 | elapsed time per iteration (s): 0.73 | learning rate: 2.115E-05 | global batch size: 256 | lm loss: 2.416514E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.029 | TFLOPs: 21.12 | 31: iteration 22030/ 23189 | consumed samples: 5639680 | consumed tokens: 11550064640 | elapsed time per iteration (s): 0.71 | learning rate: 2.113E-05 | global batch size: 256 | lm loss: 2.412857E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.281 | TFLOPs: 21.86 | 31: iteration 22040/ 23189 | consumed samples: 5642240 | consumed tokens: 11555307520 | elapsed time per iteration (s): 0.77 | learning rate: 2.111E-05 | global batch size: 256 | lm loss: 2.406197E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.421 | TFLOPs: 20.11 | 31: iteration 22050/ 23189 | consumed samples: 5644800 | consumed tokens: 11560550400 | elapsed time per iteration (s): 0.76 | learning rate: 2.109E-05 | global batch size: 256 | lm loss: 2.407815E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.462 | TFLOPs: 20.42 | 31: iteration 22060/ 23189 | consumed samples: 5647360 | consumed tokens: 11565793280 | elapsed time per iteration (s): 0.74 | learning rate: 2.107E-05 | global batch size: 256 | lm loss: 2.413161E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.814 | TFLOPs: 21.04 | 31: iteration 22070/ 23189 | consumed samples: 5649920 | consumed tokens: 11571036160 | elapsed time per iteration (s): 0.70 | learning rate: 2.105E-05 | global batch size: 256 | lm loss: 2.416480E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 365.114 | TFLOPs: 22.09 | 31: iteration 22080/ 23189 | consumed samples: 5652480 | consumed tokens: 11576279040 | elapsed time per iteration (s): 0.71 | learning rate: 2.103E-05 | global batch size: 256 | lm loss: 2.415385E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 361.899 | TFLOPs: 21.89 | 31: iteration 22090/ 23189 | consumed samples: 5655040 | consumed tokens: 11581521920 | elapsed time per iteration (s): 0.74 | learning rate: 2.102E-05 | global batch size: 256 | lm loss: 2.402456E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.665 | TFLOPs: 21.03 | 31: iteration 22100/ 23189 | consumed samples: 5657600 | consumed tokens: 11586764800 | elapsed time per iteration (s): 0.73 | learning rate: 2.100E-05 | global batch size: 256 | lm loss: 2.410897E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.954 | TFLOPs: 21.29 | 31: iteration 22110/ 23189 | consumed samples: 5660160 | consumed tokens: 11592007680 | elapsed time per iteration (s): 0.70 | learning rate: 2.098E-05 | global batch size: 256 | lm loss: 2.407244E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.279 | TFLOPs: 22.22 | 31: iteration 22120/ 23189 | consumed samples: 5662720 | consumed tokens: 11597250560 | elapsed time per iteration (s): 0.69 | learning rate: 2.096E-05 | global batch size: 256 | lm loss: 2.408636E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.503 | TFLOPs: 22.35 | 31: iteration 22130/ 23189 | consumed samples: 5665280 | consumed tokens: 11602493440 | elapsed time per iteration (s): 0.70 | learning rate: 2.094E-05 | global batch size: 256 | lm loss: 2.408579E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.303 | TFLOPs: 21.98 | 31: iteration 22140/ 23189 | consumed samples: 5667840 | consumed tokens: 11607736320 | elapsed time per iteration (s): 0.69 | learning rate: 2.093E-05 | global batch size: 256 | lm loss: 2.410833E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.737 | TFLOPs: 22.31 | 31: iteration 22150/ 23189 | consumed samples: 5670400 | consumed tokens: 11612979200 | elapsed time per iteration (s): 0.72 | learning rate: 2.091E-05 | global batch size: 256 | lm loss: 2.417616E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 354.386 | TFLOPs: 21.44 | 31: iteration 22160/ 23189 | consumed samples: 5672960 | consumed tokens: 11618222080 | elapsed time per iteration (s): 0.70 | learning rate: 2.089E-05 | global batch size: 256 | lm loss: 2.413333E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.155 | TFLOPs: 22.21 | 31: iteration 22170/ 23189 | consumed samples: 5675520 | consumed tokens: 11623464960 | elapsed time per iteration (s): 0.74 | learning rate: 2.087E-05 | global batch size: 256 | lm loss: 2.410308E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 345.060 | TFLOPs: 20.88 | 31: iteration 22180/ 23189 | consumed samples: 5678080 | consumed tokens: 11628707840 | elapsed time per iteration (s): 0.78 | learning rate: 2.086E-05 | global batch size: 256 | lm loss: 2.403982E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 330.219 | TFLOPs: 19.98 | 31: iteration 22190/ 23189 | consumed samples: 5680640 | consumed tokens: 11633950720 | elapsed time per iteration (s): 0.78 | learning rate: 2.084E-05 | global batch size: 256 | lm loss: 2.412245E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 329.498 | TFLOPs: 19.93 | 31: iteration 22200/ 23189 | consumed samples: 5683200 | consumed tokens: 11639193600 | elapsed time per iteration (s): 0.73 | learning rate: 2.082E-05 | global batch size: 256 | lm loss: 2.402985E+00 | grad norm: 0.345 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.553 | TFLOPs: 21.33 | 31: iteration 22210/ 23189 | consumed samples: 5685760 | consumed tokens: 11644436480 | elapsed time per iteration (s): 0.75 | learning rate: 2.081E-05 | global batch size: 256 | lm loss: 2.407953E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.338 | TFLOPs: 20.71 | 31: iteration 22220/ 23189 | consumed samples: 5688320 | consumed tokens: 11649679360 | elapsed time per iteration (s): 0.72 | learning rate: 2.079E-05 | global batch size: 256 | lm loss: 2.402052E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.572 | TFLOPs: 21.63 | 31: iteration 22230/ 23189 | consumed samples: 5690880 | consumed tokens: 11654922240 | elapsed time per iteration (s): 0.68 | learning rate: 2.077E-05 | global batch size: 256 | lm loss: 2.405050E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 377.246 | TFLOPs: 22.82 | 31: iteration 22240/ 23189 | consumed samples: 5693440 | consumed tokens: 11660165120 | elapsed time per iteration (s): 0.73 | learning rate: 2.076E-05 | global batch size: 256 | lm loss: 2.414417E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.512 | TFLOPs: 21.21 | 31: iteration 22250/ 23189 | consumed samples: 5696000 | consumed tokens: 11665408000 | elapsed time per iteration (s): 0.69 | learning rate: 2.074E-05 | global batch size: 256 | lm loss: 2.404637E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.598 | TFLOPs: 22.30 | 31: iteration 22260/ 23189 | consumed samples: 5698560 | consumed tokens: 11670650880 | elapsed time per iteration (s): 0.69 | learning rate: 2.073E-05 | global batch size: 256 | lm loss: 2.390215E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 372.075 | TFLOPs: 22.51 | 31: iteration 22270/ 23189 | consumed samples: 5701120 | consumed tokens: 11675893760 | elapsed time per iteration (s): 0.73 | learning rate: 2.071E-05 | global batch size: 256 | lm loss: 2.409593E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.344 | TFLOPs: 21.13 | 31: iteration 22280/ 23189 | consumed samples: 5703680 | consumed tokens: 11681136640 | elapsed time per iteration (s): 0.72 | learning rate: 2.070E-05 | global batch size: 256 | lm loss: 2.403229E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.539 | TFLOPs: 21.63 | 31: iteration 22290/ 23189 | consumed samples: 5706240 | consumed tokens: 11686379520 | elapsed time per iteration (s): 0.69 | learning rate: 2.068E-05 | global batch size: 256 | lm loss: 2.397387E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.021 | TFLOPs: 22.45 | 31: iteration 22300/ 23189 | consumed samples: 5708800 | consumed tokens: 11691622400 | elapsed time per iteration (s): 0.71 | learning rate: 2.067E-05 | global batch size: 256 | lm loss: 2.406439E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.107 | TFLOPs: 21.73 | 31: iteration 22310/ 23189 | consumed samples: 5711360 | consumed tokens: 11696865280 | elapsed time per iteration (s): 0.69 | learning rate: 2.065E-05 | global batch size: 256 | lm loss: 2.412806E+00 | grad norm: 0.361 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 369.735 | TFLOPs: 22.37 | 31: iteration 22320/ 23189 | consumed samples: 5713920 | consumed tokens: 11702108160 | elapsed time per iteration (s): 0.71 | learning rate: 2.064E-05 | global batch size: 256 | lm loss: 2.397886E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 360.216 | TFLOPs: 21.79 | 31: iteration 22330/ 23189 | consumed samples: 5716480 | consumed tokens: 11707351040 | elapsed time per iteration (s): 0.72 | learning rate: 2.062E-05 | global batch size: 256 | lm loss: 2.406299E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.333 | TFLOPs: 21.56 | 31: iteration 22340/ 23189 | consumed samples: 5719040 | consumed tokens: 11712593920 | elapsed time per iteration (s): 0.70 | learning rate: 2.061E-05 | global batch size: 256 | lm loss: 2.414642E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.579 | TFLOPs: 22.24 | 31: iteration 22350/ 23189 | consumed samples: 5721600 | consumed tokens: 11717836800 | elapsed time per iteration (s): 0.71 | learning rate: 2.059E-05 | global batch size: 256 | lm loss: 2.411120E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.953 | TFLOPs: 21.78 | 31: iteration 22360/ 23189 | consumed samples: 5724160 | consumed tokens: 11723079680 | elapsed time per iteration (s): 0.70 | learning rate: 2.058E-05 | global batch size: 256 | lm loss: 2.399095E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.308 | TFLOPs: 22.22 | 31: iteration 22370/ 23189 | consumed samples: 5726720 | consumed tokens: 11728322560 | elapsed time per iteration (s): 0.72 | learning rate: 2.056E-05 | global batch size: 256 | lm loss: 2.402855E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.530 | TFLOPs: 21.39 | 31: iteration 22380/ 23189 | consumed samples: 5729280 | consumed tokens: 11733565440 | elapsed time per iteration (s): 0.72 | learning rate: 2.055E-05 | global batch size: 256 | lm loss: 2.401537E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.695 | TFLOPs: 21.58 | 31: iteration 22390/ 23189 | consumed samples: 5731840 | consumed tokens: 11738808320 | elapsed time per iteration (s): 0.71 | learning rate: 2.054E-05 | global batch size: 256 | lm loss: 2.406760E+00 | grad norm: 0.344 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.656 | TFLOPs: 21.76 | 31: iteration 22400/ 23189 | consumed samples: 5734400 | consumed tokens: 11744051200 | elapsed time per iteration (s): 0.70 | learning rate: 2.052E-05 | global batch size: 256 | lm loss: 2.398641E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.146 | TFLOPs: 21.97 | 31: iteration 22410/ 23189 | consumed samples: 5736960 | consumed tokens: 11749294080 | elapsed time per iteration (s): 0.69 | learning rate: 2.051E-05 | global batch size: 256 | lm loss: 2.411429E+00 | grad norm: 0.362 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 373.260 | TFLOPs: 22.58 | 31: iteration 22420/ 23189 | consumed samples: 5739520 | consumed tokens: 11754536960 | elapsed time per iteration (s): 0.69 | learning rate: 2.050E-05 | global batch size: 256 | lm loss: 2.403776E+00 | grad norm: 0.360 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 371.515 | TFLOPs: 22.48 | 31: iteration 22430/ 23189 | consumed samples: 5742080 | consumed tokens: 11759779840 | elapsed time per iteration (s): 0.70 | learning rate: 2.049E-05 | global batch size: 256 | lm loss: 2.407062E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.578 | TFLOPs: 22.24 | 31: iteration 22440/ 23189 | consumed samples: 5744640 | consumed tokens: 11765022720 | elapsed time per iteration (s): 0.70 | learning rate: 2.047E-05 | global batch size: 256 | lm loss: 2.409716E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.028 | TFLOPs: 22.26 | 31: iteration 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second: 369.427 | TFLOPs: 22.35 | 31: iteration 22480/ 23189 | consumed samples: 5754880 | consumed tokens: 11785994240 | elapsed time per iteration (s): 0.69 | learning rate: 2.042E-05 | global batch size: 256 | lm loss: 2.401898E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.477 | TFLOPs: 22.41 | 31: iteration 22490/ 23189 | consumed samples: 5757440 | consumed tokens: 11791237120 | elapsed time per iteration (s): 0.76 | learning rate: 2.041E-05 | global batch size: 256 | lm loss: 2.416062E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 337.445 | TFLOPs: 20.41 | 31: iteration 22500/ 23189 | consumed samples: 5760000 | consumed tokens: 11796480000 | elapsed time per iteration (s): 0.75 | learning rate: 2.040E-05 | global batch size: 256 | lm loss: 2.415217E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 340.882 | TFLOPs: 20.62 | 31: iteration 22510/ 23189 | consumed samples: 5762560 | consumed tokens: 11801722880 | elapsed time per iteration (s): 0.73 | learning rate: 2.039E-05 | global batch size: 256 | lm loss: 2.402696E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.451 | TFLOPs: 21.26 | 31: iteration 22520/ 23189 | consumed samples: 5765120 | consumed tokens: 11806965760 | elapsed time per iteration (s): 0.70 | learning rate: 2.038E-05 | global batch size: 256 | lm loss: 2.398087E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.724 | TFLOPs: 22.25 | 31: iteration 22530/ 23189 | consumed samples: 5767680 | consumed tokens: 11812208640 | elapsed time per iteration (s): 0.72 | learning rate: 2.037E-05 | global batch size: 256 | lm loss: 2.405863E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.109 | TFLOPs: 21.36 | 31: iteration 22540/ 23189 | consumed samples: 5770240 | consumed tokens: 11817451520 | elapsed time per iteration (s): 0.72 | learning rate: 2.035E-05 | global batch size: 256 | lm loss: 2.401326E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 356.779 | TFLOPs: 21.58 | 31: iteration 22550/ 23189 | consumed samples: 5772800 | consumed tokens: 11822694400 | elapsed time per iteration (s): 0.75 | learning rate: 2.034E-05 | global batch size: 256 | lm loss: 2.399825E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.324 | TFLOPs: 20.71 | 31: iteration 22560/ 23189 | consumed samples: 5775360 | consumed tokens: 11827937280 | elapsed time per iteration (s): 0.72 | learning rate: 2.033E-05 | global batch size: 256 | lm loss: 2.402971E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.829 | TFLOPs: 21.65 | 31: iteration 22570/ 23189 | consumed samples: 5777920 | consumed tokens: 11833180160 | elapsed time per iteration (s): 0.75 | learning rate: 2.032E-05 | global batch size: 256 | lm loss: 2.402832E+00 | grad norm: 0.359 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 341.409 | TFLOPs: 20.65 | 31: iteration 22580/ 23189 | consumed samples: 5780480 | consumed tokens: 11838423040 | elapsed time per iteration (s): 0.74 | learning rate: 2.031E-05 | global batch size: 256 | lm loss: 2.402653E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.490 | TFLOPs: 20.96 | 31: iteration 22590/ 23189 | consumed samples: 5783040 | consumed tokens: 11843665920 | elapsed time per iteration (s): 0.70 | 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| consumed samples: 5798400 | consumed tokens: 11875123200 | elapsed time per iteration (s): 0.76 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.395824E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.579 | TFLOPs: 20.48 | 31: iteration 22660/ 23189 | consumed samples: 5800960 | consumed tokens: 11880366080 | elapsed time per iteration (s): 0.70 | learning rate: 2.024E-05 | global batch size: 256 | lm loss: 2.399268E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 363.778 | TFLOPs: 22.01 | 31: iteration 22670/ 23189 | consumed samples: 5803520 | consumed tokens: 11885608960 | elapsed time per iteration (s): 0.75 | learning rate: 2.023E-05 | global batch size: 256 | lm loss: 2.409558E+00 | grad norm: 0.353 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 354.230 | TFLOPs: 21.43 | 31: iteration 22710/ 23189 | consumed samples: 5813760 | consumed tokens: 11906580480 | elapsed time per iteration (s): 0.74 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.404417E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 347.730 | TFLOPs: 21.04 | 31: iteration 22720/ 23189 | consumed samples: 5816320 | consumed tokens: 11911823360 | elapsed time per iteration (s): 0.73 | learning rate: 2.019E-05 | global batch size: 256 | lm loss: 2.403032E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 351.185 | TFLOPs: 21.25 | 31: iteration 22730/ 23189 | consumed samples: 5818880 | consumed tokens: 11917066240 | elapsed time per iteration (s): 0.73 | learning rate: 2.018E-05 | global batch size: 256 | lm loss: 2.396605E+00 | grad norm: 0.350 | num 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lm loss: 2.388643E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 336.678 | TFLOPs: 20.37 | 31: iteration 22770/ 23189 | consumed samples: 5829120 | consumed tokens: 11938037760 | elapsed time per iteration (s): 0.73 | learning rate: 2.015E-05 | global batch size: 256 | lm loss: 2.381241E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 349.070 | TFLOPs: 21.12 | 31: iteration 22780/ 23189 | consumed samples: 5831680 | consumed tokens: 11943280640 | elapsed time per iteration (s): 0.73 | learning rate: 2.014E-05 | global batch size: 256 | lm loss: 2.395199E+00 | grad norm: 0.347 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 350.986 | TFLOPs: 21.23 | 31: iteration 22790/ 23189 | consumed samples: 5834240 | consumed tokens: 11948523520 | elapsed time per iteration (s): 0.76 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.407126E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 338.972 | TFLOPs: 20.51 | 31: iteration 22800/ 23189 | consumed samples: 5836800 | consumed tokens: 11953766400 | elapsed time per iteration (s): 0.73 | learning rate: 2.013E-05 | global batch size: 256 | lm loss: 2.389534E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 352.165 | TFLOPs: 21.31 | 31: iteration 22810/ 23189 | consumed samples: 5839360 | consumed tokens: 11959009280 | elapsed time per iteration (s): 0.70 | learning rate: 2.012E-05 | global batch size: 256 | lm loss: 2.396481E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.835 | TFLOPs: 22.25 | 31: iteration 22820/ 23189 | consumed samples: 5841920 | consumed tokens: 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| consumed samples: 5849600 | consumed tokens: 11979980800 | elapsed time per iteration (s): 0.77 | learning rate: 2.010E-05 | global batch size: 256 | lm loss: 2.391038E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 332.637 | TFLOPs: 20.12 | 31: iteration 22860/ 23189 | consumed samples: 5852160 | consumed tokens: 11985223680 | elapsed time per iteration (s): 0.75 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.397409E+00 | grad norm: 0.348 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 342.035 | TFLOPs: 20.69 | 31: iteration 22870/ 23189 | consumed samples: 5854720 | consumed tokens: 11990466560 | elapsed time per iteration (s): 0.75 | learning rate: 2.009E-05 | global batch size: 256 | lm loss: 2.379557E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 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number of nan iterations: 0 | samples per second: 370.494 | TFLOPs: 22.41 | 31: iteration 22910/ 23189 | consumed samples: 5864960 | consumed tokens: 12011438080 | elapsed time per iteration (s): 0.72 | learning rate: 2.007E-05 | global batch size: 256 | lm loss: 2.368889E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 353.497 | TFLOPs: 21.39 | 31: iteration 22920/ 23189 | consumed samples: 5867520 | consumed tokens: 12016680960 | elapsed time per iteration (s): 0.71 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.368294E+00 | grad norm: 0.350 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 362.684 | TFLOPs: 21.94 | 31: iteration 22930/ 23189 | consumed samples: 5870080 | consumed tokens: 12021923840 | elapsed time per iteration (s): 0.74 | learning rate: 2.006E-05 | global batch size: 256 | lm loss: 2.364549E+00 | grad norm: 0.360 | num 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lm loss: 2.376518E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 344.464 | TFLOPs: 20.84 | 31: iteration 22970/ 23189 | consumed samples: 5880320 | consumed tokens: 12042895360 | elapsed time per iteration (s): 0.69 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.364320E+00 | grad norm: 0.358 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 370.905 | TFLOPs: 22.44 | 31: iteration 22980/ 23189 | consumed samples: 5882880 | consumed tokens: 12048138240 | elapsed time per iteration (s): 0.75 | learning rate: 2.004E-05 | global batch size: 256 | lm loss: 2.383215E+00 | grad norm: 0.357 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 339.202 | TFLOPs: 20.52 | 31: iteration 22990/ 23189 | consumed samples: 5885440 | consumed tokens: 12053381120 | elapsed time per iteration (s): 0.77 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.357067E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 333.904 | TFLOPs: 20.20 | 31: iteration 23000/ 23189 | consumed samples: 5888000 | consumed tokens: 12058624000 | elapsed time per iteration (s): 0.71 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.382401E+00 | grad norm: 0.346 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.220 | TFLOPs: 21.73 | 31: iteration 23010/ 23189 | consumed samples: 5890560 | consumed tokens: 12063866880 | elapsed time per iteration (s): 0.72 | learning rate: 2.003E-05 | global batch size: 256 | lm loss: 2.397152E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 357.599 | TFLOPs: 21.63 | 31: iteration 23020/ 23189 | consumed samples: 5893120 | consumed tokens: 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| consumed samples: 5900800 | consumed tokens: 12084838400 | elapsed time per iteration (s): 0.69 | learning rate: 2.002E-05 | global batch size: 256 | lm loss: 2.376936E+00 | grad norm: 0.355 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 368.401 | TFLOPs: 22.29 | 31: iteration 23060/ 23189 | consumed samples: 5903360 | consumed tokens: 12090081280 | elapsed time per iteration (s): 0.74 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.375659E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 346.218 | TFLOPs: 20.95 | 31: iteration 23070/ 23189 | consumed samples: 5905920 | consumed tokens: 12095324160 | elapsed time per iteration (s): 0.71 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.377558E+00 | grad norm: 0.370 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 358.226 | TFLOPs: 21.67 | 31: iteration 23080/ 23189 | consumed samples: 5908480 | consumed tokens: 12100567040 | elapsed time per iteration (s): 0.71 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.391281E+00 | grad norm: 0.354 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 359.131 | TFLOPs: 21.73 | 31: iteration 23090/ 23189 | consumed samples: 5911040 | consumed tokens: 12105809920 | elapsed time per iteration (s): 0.70 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.381565E+00 | grad norm: 0.349 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 367.043 | TFLOPs: 22.21 | 31: iteration 23100/ 23189 | consumed samples: 5913600 | consumed tokens: 12111052800 | elapsed time per iteration (s): 0.78 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.378988E+00 | grad norm: 0.352 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 326.127 | TFLOPs: 19.73 | 31: iteration 23110/ 23189 | consumed samples: 5916160 | consumed tokens: 12116295680 | elapsed time per iteration (s): 0.78 | learning rate: 2.001E-05 | global batch size: 256 | lm loss: 2.379497E+00 | grad norm: 0.367 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 328.100 | TFLOPs: 19.85 | 31: iteration 23120/ 23189 | consumed samples: 5918720 | consumed tokens: 12121538560 | elapsed time per iteration (s): 0.79 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.379342E+00 | grad norm: 0.365 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 322.791 | TFLOPs: 19.53 | 31: iteration 23130/ 23189 | consumed samples: 5921280 | consumed tokens: 12126781440 | elapsed time per iteration (s): 0.77 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.387583E+00 | grad norm: 0.361 | num 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lm loss: 2.389319E+00 | grad norm: 0.351 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 325.552 | TFLOPs: 19.70 | 31: iteration 23170/ 23189 | consumed samples: 5931520 | consumed tokens: 12147752960 | elapsed time per iteration (s): 0.82 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.375882E+00 | grad norm: 0.356 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 312.559 | TFLOPs: 18.91 | 31: iteration 23180/ 23189 | consumed samples: 5934080 | consumed tokens: 12152995840 | elapsed time per iteration (s): 0.78 | learning rate: 2.000E-05 | global batch size: 256 | lm loss: 2.386948E+00 | grad norm: 0.363 | num zeros: 0.0 | number of skipped iterations: 0 | number of nan iterations: 0 | samples per second: 327.928 | TFLOPs: 19.84 | 0: [after training is done] datetime: 2023-03-16 02:32:31 0: saving checkpoint at iteration 23189 to checkpoints_1b112b400m 31: ----------------------------------------------------------------------------------------------------------------- 31: validation loss at the end of training for val data | lm loss value: 3.552308E+00 | lm loss PPL: 3.489376E+01 | 31: ----------------------------------------------------------------------------------------------------------------- 0: [2023-03-16 02:32:31,631] [INFO] [logging.py:68:log_dist] [Rank 0] [Torch] Checkpoint global_step23189 is begin to save! 0: [2023-03-16 02:32:31,636] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b400m/global_step23189/layer_01-model_00-model_states.pt... 0: [2023-03-16 02:32:31,864] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/layer_01-model_00-model_states.pt. 0: [2023-03-16 02:32:31,865] [INFO] [torch_checkpoint_engine.py:15:save] [Torch] Saving checkpoints_1b112b400m/global_step23189/layer_03-model_00-model_states.pt... 0: [2023-03-16 02:32:31,944] [INFO] 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_119_mp_rank_00_optim_states.pt 14: [2023-03-16 02:32:34,015] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 23: [2023-03-16 02:32:34,017] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_185_mp_rank_00_optim_states.pt. 23: [2023-03-16 02:32:34,017] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_184_mp_rank_00_optim_states.pt. 23: [2023-03-16 02:32:34,017] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_184_mp_rank_00_optim_states.pt 23: [2023-03-16 02:32:34,017] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved 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[INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_4_mp_rank_00_optim_states.pt 0: [2023-03-16 02:32:34,023] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 23: [2023-03-16 02:32:34,023] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_187_mp_rank_00_optim_states.pt. 23: [2023-03-16 02:32:34,023] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_187_mp_rank_00_optim_states.pt 23: [2023-03-16 02:32:34,023] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 20: [2023-03-16 02:32:34,022] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_166_mp_rank_00_optim_states.pt. 12: [2023-03-16 02:32:34,021] [INFO] 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Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_248_mp_rank_00_optim_states.pt. 2: [2023-03-16 02:32:34,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_17_mp_rank_00_optim_states.pt 2: [2023-03-16 02:32:34,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_23_mp_rank_00_optim_states.pt 2: [2023-03-16 02:32:34,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_20_mp_rank_00_optim_states.pt 2: [2023-03-16 02:32:34,052] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_16_mp_rank_00_optim_states.pt 2: [2023-03-16 02:32:34,052] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 2: [2023-03-16 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saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_115_mp_rank_00_optim_states.pt 14: [2023-03-16 02:32:34,072] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 5: [2023-03-16 02:32:34,073] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt. 5: [2023-03-16 02:32:34,073] [INFO] [engine.py:3213:_save_zero_checkpoint] bf16_zero checkpoint saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_45_mp_rank_00_optim_states.pt 5: [2023-03-16 02:32:34,073] [INFO] [torch_checkpoint_engine.py:27:commit] [Torch] Checkpoint global_step23189 is ready now! 20: [2023-03-16 02:32:34,063] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved checkpoints_1b112b400m/global_step23189/bf16_zero_pp_rank_162_mp_rank_00_optim_states.pt. 13: [2023-03-16 02:32:34,063] [INFO] [torch_checkpoint_engine.py:17:save] [Torch] Saved 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is ready now! 0: successfully saved checkpoint at iteration 23189 to checkpoints_1b112b400m END 3318380: Thu 16 Mar 2023 02:32:58 AM EET