| # Model arguments | |
| model_name_or_path: sanchit-gandhi/Mistral-1.5B-Instruct-v0.2 | |
| teacher_model_name_or_path: mistralai/Mistral-7B-Instruct-v0.2 | |
| tokenizer_name: mistralai/Mistral-7B-Instruct-v0.2 | |
| dtype: bfloat16 | |
| load_teacher_in_4bit: true | |
| # Data arguments | |
| train_dataset_name: HuggingFaceTB/cosmopedia | |
| train_dataset_config_name: | |
| - auto_math_text | |
| - khanacademy | |
| - openstax | |
| - stanford | |
| - stories | |
| - web_samples_v1 | |
| - web_samples_v2 | |
| - wikihow | |
| train_split_name: train[1000:] | |
| eval_split_name: train[:1000] | |
| max_steps: 100000 | |
| max_train_samples: 10000000 | |
| # Training arguments | |
| do_train: true | |
| do_eval: true | |
| per_device_eval_batch_size: 8 | |
| per_device_train_batch_size: 8 | |
| learning_rate: 0.0001 | |
| warmup_steps: 500 | |
| gradient_checkpointing: true | |
| dataloader_num_workers: 4 | |
| preprocessing_num_workers: 32 | |
| ddp_timeout: 7200 | |
| save_strategy: steps | |
| save_steps: 5000 | |
| evaluation_strategy: steps | |
| eval_steps: 5000 | |
| logging_steps: 25 | |
| output_router_logits: true | |
| report_to: all | |
| output_dir: ./ | |
| overwrite_output_dir: false | |
| save_total_limit: 1 | |
| wandb_project: distil-mistral | |
| push_to_hub: true | |