amy-hyunji-lee
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config.yaml
ADDED
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1 |
+
run_name: olmo-400M-base
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seed: 6198
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+
epoch: null
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dry_run: false
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model:
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d_model: 1024
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n_heads: 16
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n_kv_heads: null
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clip_qkv: null
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n_layers: 20
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mlp_ratio: 8
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mlp_hidden_size: null
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activation_type: swiglu
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block_type: sequential
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block_group_size: 1
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alibi: false
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alibi_bias_max: 8.0
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rope: true
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rope_full_precision: true
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rope_theta: 10000
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flash_attention: true
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attention_dropout: 0.0
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multi_query_attention: null
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attention_layer_norm: false
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residual_dropout: 0.0
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embedding_dropout: 0.0
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embedding_layer_norm: false
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layer_norm_type: rms
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layer_norm_with_affine: true
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layer_norm_eps: 1.0e-06
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attention_layer_norm_with_affine: false
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max_sequence_length: 2048
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include_bias: false
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bias_for_layer_norm: false
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scale_logits: false
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vocab_size: 50280
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embedding_size: 50304
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weight_tying: false
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eos_token_id: 0
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pad_token_id: 1
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init_device: cuda
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init_fn: normal
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init_std: 0.02
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init_cutoff_factor: 3.0
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precision: amp_bf16
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scale_emb_init: false
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emb_init_std: null
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norm_after: false
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cbp_train: false
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cbp_replacement_rate: 0.0001
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cbp_maturity_threshold: 100
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cbp_init_fn: kaiming
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optimizer:
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name: adamw
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learning_rate: 0.0004
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weight_decay: 0.1
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betas:
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- 0.9
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- 0.95
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eps: 1.0e-08
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no_decay_norm_and_bias: null
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selective_updates: false
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decay_norm_and_bias: true
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decay_embeddings: true
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metrics_log_interval: 10
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record_update_metrics: false
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scheduler:
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name: cosine_with_warmup
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units: steps
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t_warmup: 2384
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t_max: null
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alpha_f: 0.1
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grad_clip_warmup_steps: null
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grad_clip_warmup_factor: null
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warmup_min_lr: 0.0
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data:
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paths:
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rank_zero_only: true
|
407 |
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log_interval: 1
|
408 |
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speed_monitor:
|
409 |
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window_size: 20
|
410 |
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gpu_flops_available: null
|
411 |
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console_log_interval: 1
|
412 |
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gen1_gc_interval: 1
|
413 |
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compile: null
|
414 |
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distributed_strategy: ddp
|
415 |
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fsdp:
|
416 |
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use_orig_params: true
|
417 |
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sharding_strategy: FULL_SHARD
|
418 |
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wrapping_strategy: null
|
419 |
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precision: pure
|
420 |
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hybrid_sharding_num_model_replicas: null
|
421 |
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ddp:
|
422 |
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grad_sync_mode: batch
|
423 |
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find_unused_params: false
|
424 |
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softmax_auxiliary_loss: false
|
425 |
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auxiliary_loss_multiplier: 0.0001
|
426 |
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time_limit: null
|
427 |
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extra_steps_after_cancel: 10
|
428 |
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early_stopping_factor: null
|
429 |
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save_data_indices: true
|
430 |
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python_profiling: false
|
431 |
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torch_profiling: false
|
432 |
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stop_at: 47680
|
433 |
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stop_after: null
|
434 |
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activation_checkpointing: null
|
435 |
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fused_loss: null
|
436 |
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inject_indices_map: null
|
437 |
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inject_interval: null
|
438 |
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resus_portion: 1.0
|
439 |
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resus_ratio: 1.0
|
440 |
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data_shuffling: true
|
441 |
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KE_loss: false
|
442 |
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sum_CE_KE_loss: true
|
443 |
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lambda_ke_loss: null
|
444 |
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grad_ascent: false
|
445 |
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trainable_parameter: ''
|
446 |
+
hf_datasets_cache_dir: null
|
447 |
+
module_outputs_save_steps: null
|
model.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:f04719818b23eb010024dc0781cf73458238a3ccee2fbe119a7ec0e4dc6a8cd1
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size 1754478590
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optim.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:48bcfcb09b1b6df74c3334df0f7c87f3b9411d19ad3ce1ee0d9f1b99d165bcd4
|
3 |
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size 3508964070
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train.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
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|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:23f5e9cedf11b1d7277354ae04d5a321d817d4f1479c638c67943fb994731ebf
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size 14668
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