| dataset_args: | |
| path: argilla/dpo-mix-7k | |
| format_args: | |
| prompt_format: zephyr-gemma | |
| model_args: | |
| pretrained_model_name_or_path: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 | |
| torch_dtype: bfloat16 | |
| wandb_args: | |
| entity: argilla-io | |
| project: zephyr-gemma-dpo | |
| name: 16bit | |
| training_args: | |
| # DPOTrainer | |
| beta: 0.05 | |
| loss_type: sigmoid | |
| max_length: 1024 | |
| max_prompt_length: 512 | |
| # Trainer (train) | |
| bf16: true | |
| do_train: true | |
| gradient_accumulation_steps: 8 | |
| gradient_checkpointing: true | |
| gradient_checkpointing_kwargs: | |
| use_reentrant: false | |
| learning_rate: 5.0e-7 | |
| logging_steps: 10 | |
| lr_scheduler_type: cosine | |
| num_train_epochs: 2 | |
| optim: adamw_torch | |
| output_dir: data/gemma-7b-it-dpo | |
| per_device_train_batch_size: 2 | |
| seed: 42 | |
| warmup_ratio: 0.1 | |
| warmup_steps: 100 | |
| report_to: | |
| - wandb | |
| - tensorboard | |
| # Trainer (eval) | |
| do_eval: true | |
| evaluation_strategy: steps | |
| eval_steps: 100 | |
| per_device_eval_batch_size: 4 | |
| # Trainer (save) | |
| hub_model_id: alvarobartt/zephyr-gemma-dpo | |
| hub_private_repo: true | |
| push_to_hub: true | |
| save_strategy: "no" # Quoted, otherwise is casted to `False` | |
| save_total_limit: null | |
| use_accelerate: true | |
| use_unsloth: false | |