| dataset_args: | |
| path: argilla/10k_prompts_dpo | |
| format_args: | |
| prompt_format: zephyr | |
| model_args: | |
| pretrained_model_name_or_path: alignment-handbook/zephyr-7b-sft-full | |
| torch_dtype: float16 | |
| quantization_config: | |
| quant_method: bitsandbytes | |
| load_in_4bit: true | |
| peft_config: | |
| r: 16 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| bias: none | |
| task_type: CAUSAL_LM | |
| target_modules: | |
| - k_proj | |
| - gate_proj | |
| - v_proj | |
| - up_proj | |
| - q_proj | |
| - o_proj | |
| - down_proj | |
| wandb_args: | |
| entity: argilla-io | |
| project: dibt-dpo | |
| name: zephyr-7b-lora-dpo-dibt-openhermes-params-v0 | |
| training_args: | |
| # `trl.DPOTrainer` | |
| beta: 0.1 | |
| max_length: 1536 | |
| max_prompt_length: 1024 | |
| loss_type: sigmoid | |
| # `transformers.Trainer` | |
| bf16: true | |
| do_eval: true | |
| do_train: true | |
| evaluation_strategy: steps | |
| eval_steps: 20 | |
| gradient_accumulation_steps: 4 | |
| gradient_checkpointing: true | |
| hub_model_id: plaguss/zephyr-7b-lora-dpo-dibt-v0 | |
| hub_model_revision: v0 | |
| hub_strategy: every_save | |
| hub_private_repo: true | |
| push_to_hub: true | |
| learning_rate: 5.0e-5 | |
| logging_steps: 10 | |
| lr_scheduler_type: cosine | |
| num_train_epochs: 2 | |
| optim: paged_adamw_32bit | |
| output_dir: data/zephyr-7b-sft-lora-dpo-v0 | |
| load_best_model_at_end: true | |
| metric_for_best_model: rewards/accuracies | |
| greater_is_better: true | |
| per_device_train_batch_size: 4 | |
| per_device_eval_batch_size: 16 | |
| save_strategy: steps | |
| save_total_limit: null | |
| seed: 42 | |
| warmup_ratio: 0.1 | |
| report_to: | |
| - wandb | |
| use_accelerate: false | |
| use_unsloth: false | |