| bf16: true | |
| cutoff_len: 32768 | |
| dataset: bookgen,infinity3m-cleaned | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| deepspeed: cache/ds_z3_config.json | |
| do_train: true | |
| eval_steps: 250 | |
| eval_strategy: steps | |
| finetuning_type: full | |
| flash_attn: fa2 | |
| gradient_accumulation_steps: 4 | |
| include_num_input_tokens_seen: true | |
| learning_rate: 5.0e-06 | |
| logging_steps: 1 | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| max_samples: 10000000 | |
| model_name_or_path: unsloth/Meta-Llama-3.1-8B | |
| neat_packing: true | |
| num_train_epochs: 3.0 | |
| optim: paged_adamw_8bit | |
| output_dir: saves/LLaMA3.1-8B/full/L3.1-bookgen-infinity2m-32k-fft | |
| packing: true | |
| per_device_eval_batch_size: 1 | |
| per_device_train_batch_size: 1 | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| report_to: none | |
| save_steps: 250 | |
| stage: sft | |
| template: alpaca | |
| train_on_prompt: true | |
| val_size: 0.02 | |
| warmup_steps: 25 | |