| base_model: /workspace/Mixtral-8x7B-v0.1 | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: AutoTokenizer | |
| model_config: | |
| output_router_logits: true | |
| router_aux_loss_coef: 0.02 | |
| router_z_loss_coef: 0.001 | |
| load_in_8bit: false | |
| load_in_4bit: true | |
| strict: false | |
| datasets: | |
| - path: /workspace/ERPLogic2.json | |
| type: alpaca | |
| prompt_format: alpaca | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.04 | |
| output_dir: ./mixtral-lora | |
| save_safetensors: true | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 4096 | |
| sample_packing: true | |
| pad_to_sequence_len: true | |
| lora_r: 128 | |
| lora_alpha: 256 | |
| lora_dropout: 0.05 | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| # lora_target_modules: | |
| wandb_project: mixtral-lora | |
| wandb_entity: Saofiqlord | |
| wandb_watch: | |
| wandb_run_id: | |
| wandb_log_model: | |
| gradient_accumulation_steps: 4 | |
| micro_batch_size: 5 | |
| eval_batch_size: 5 | |
| num_epochs: 1 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.000242 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: true | |
| fp16: false | |
| tf32: false | |
| gradient_checkpointing: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| auto_resume_from_checkpoints: true | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: | |
| flash_attention: true | |
| warmup_steps: 25 | |
| eval_steps: 0.05 | |
| save_steps: 220 | |
| eval_table_size: | |
| eval_table_max_new_tokens: 128 | |
| weight_decay: 0.0 | |
| special_tokens: | |
| bos_token: "<s>" | |
| eos_token: "</s>" | |
| unk_token: "<unk>" | |