| bf16: true | |
| cutoff_len: 4096 | |
| dataset: Judge | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| do_train: true | |
| finetuning_type: lora | |
| flash_attn: auto | |
| gradient_accumulation_steps: 8 | |
| include_num_input_tokens_seen: true | |
| learning_rate: 5.0e-05 | |
| logging_steps: 5 | |
| lora_alpha: 32 | |
| lora_dropout: 0 | |
| lora_rank: 16 | |
| lora_target: all | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| max_samples: 100000 | |
| model_name_or_path: /home/marl/.cache/huggingface/hub/models--meta-llama--Meta-Llama-3.1-8B-Instruct/snapshots/07eb05b21d191a58c577b4a45982fe0c049d0693 | |
| num_train_epochs: 10.0 | |
| optim: adamw_torch | |
| output_dir: saves/LLaMA3-8B-Chat/lora/JudgeDredd | |
| packing: false | |
| per_device_train_batch_size: 2 | |
| pissa_convert: true | |
| pissa_init: true | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| quantization_method: bitsandbytes | |
| report_to: none | |
| rope_scaling: linear | |
| save_steps: 100 | |
| stage: sft | |
| template: llama3 | |
| use_dora: true | |
| use_rslora: true | |
| use_unsloth: true | |
| warmup_steps: 0 | |