| dataset_args: | |
| path: distilabel-internal-testing/ultrafeedback-critique-sft-v0.1 | |
| format_args: | |
| prompt_format: chatml | |
| model_args: | |
| pretrained_model_name_or_path: teknium/OpenHermes-2.5-Mistral-7B | |
| torch_dtype: bfloat16 | |
| wandb_args: | |
| entity: argilla-io | |
| project: criticon | |
| name: criticon-sft-full-v0.1 | |
| training_args: | |
| # `trl.SFTTrainer` | |
| max_seq_length: 2048 | |
| # `transformers.Trainer` | |
| bf16: true | |
| do_eval: true | |
| do_train: true | |
| evaluation_strategy: steps | |
| eval_steps: 500 | |
| gradient_accumulation_steps: 2 | |
| gradient_checkpointing: true | |
| hub_model_id: distilabel-internal-testing/criticon-sft-v0.1 | |
| hub_model_revision: v1.0 | |
| hub_strategy: every_save | |
| hub_private_repo: true | |
| push_to_hub: true | |
| learning_rate: 5.0e-06 | |
| logging_steps: 10 | |
| lr_scheduler_type: cosine | |
| num_train_epochs: 2 | |
| optim: paged_adamw_32bit | |
| output_dir: data/criticon | |
| per_device_train_batch_size: 8 | |
| per_device_eval_batch_size: 8 | |
| save_strategy: epoch | |
| save_total_limit: null | |
| # load_best_model_at_end: true | |
| seed: 42 | |
| warmup_ratio: 0.1 | |
| report_to: | |
| - wandb | |
| use_accelerate: true | |
| use_unsloth: false |