| base_model: anon8231489123/vicuna-13b-GPTQ-4bit-128g | |
| base_model_config: anon8231489123/vicuna-13b-GPTQ-4bit-128g | |
| model_type: LlamaForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| load_in_8bit: false | |
| load_4bit: true | |
| gptq_groupsize: 128 | |
| gptq_model_v1: false | |
| datasets: | |
| # https://github.com/vaguenebula/AlpacaDataReflect/blob/main/alpaca_reflect_pruned.json | |
| - path: data/alpaca_reflect_pruned.jsonl | |
| type: reflection | |
| dataset_prepared_path: data/last_run_prepared | |
| val_set_size: 0.04 | |
| adapter: lora | |
| lora_model_dir: | |
| sequence_len: 2048 | |
| max_packed_sequence_len: 2048 | |
| lora_r: 8 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target_modules: | |
| - q_proj | |
| - v_proj | |
| # - k_proj | |
| # - o_proj | |
| lora_fan_in_fan_out: false | |
| wandb_project: | |
| wandb_watch: | |
| wandb_run_id: | |
| wandb_log_model: | |
| output_dir: ./lora-reflect | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 2 | |
| num_epochs: 3 | |
| learning_rate: 0.00003 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: true | |
| tf32: true | |
| gradient_checkpointing: false | |
| early_stopping_patience: 3 | |
| resume_from_checkpoint: | |
| local_rank: | |
| flash_attention: true | |