| base_model: meta-llama/Meta-Llama-3-8B-Instruct | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: AutoTokenizer | |
| load_in_8bit: false | |
| load_in_4bit: true | |
| strict: false | |
| save_safetensors: true | |
| rl: dpo | |
| chat_template: chatml | |
| datasets: | |
| - path: Intel/orca_dpo_pairs | |
| split: train | |
| type: chatml.intel | |
| dataset_prepared_path: | |
| val_set_size: 0.1 | |
| output_dir: ./models/Meta-Llama-3-8B-instruct-DPO-v0.3 | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 8192 | |
| sample_packing: false | |
| pad_to_sequence_len: false | |
| lora_r: 64 | |
| lora_alpha: 32 | |
| lora_dropout: 0.05 | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| lora_modules_to_save: | |
| - embed_tokens | |
| - lm_head | |
| wandb_project: llama-3-instruct-dpo | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| gradient_accumulation_steps: 2 | |
| micro_batch_size: 1 | |
| num_epochs: 3 | |
| optimizer: paged_adamw_32bit | |
| lr_scheduler: cosine | |
| learning_rate: 5e-6 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: auto | |
| fp16: | |
| tf32: | |
| gradient_checkpointing: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| warmup_steps: 100 | |
| evals_per_epoch: 1 | |
| eval_table_size: | |
| eval_table_max_new_tokens: 128 | |
| saves_per_epoch: 6 | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.0 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| pad_token: "<|end_of_text|>" |