| adapter_name_or_path: saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP | |
| bf16: true | |
| cutoff_len: 4000 | |
| dataset: qa-unc-dpo | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| do_train: true | |
| finetuning_type: lora | |
| flash_attn: fa2 | |
| gradient_accumulation_steps: 1 | |
| include_num_input_tokens_seen: true | |
| learning_rate: 5.0e-05 | |
| logging_steps: 10 | |
| lora_alpha: 64 | |
| lora_dropout: 0.35 | |
| lora_rank: 32 | |
| lora_target: all | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| max_samples: 100000 | |
| model_name_or_path: NousResearch/Meta-Llama-3.1-8B-Instruct | |
| neftune_noise_alpha: 5 | |
| num_train_epochs: 1.0 | |
| optim: adamw_8bit | |
| output_dir: saves\LLaMA3.1-8B-Chat\lora\Luminia-8B-RP-DPO | |
| packing: true | |
| per_device_train_batch_size: 1 | |
| plot_loss: true | |
| pref_beta: 0.1 | |
| pref_ftx: 0 | |
| pref_loss: orpo | |
| preprocessing_num_workers: 16 | |
| quantization_bit: 4 | |
| quantization_method: bitsandbytes | |
| report_to: none | |
| rope_scaling: linear | |
| save_steps: 1000 | |
| stage: dpo | |
| template: alpaca | |
| warmup_steps: 0 | |