| base_model: huggyllama/llama-65b | |
| model_type: LlamaForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| load_in_8bit: true | |
| datasets: | |
| - path: data/alpaca_data_gpt4.jsonl | |
| type: alpaca | |
| - path: anon8231489123/ShareGPT_Vicuna_unfiltered | |
| data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json | |
| type: sharegpt | |
| - path: data/gpt4-instruct-similarity-0.6-dataset.jsonl | |
| type: gpteacher | |
| - path: data/roleplay-similarity_0.6-instruct-dataset.jsonl | |
| type: gpteacher | |
| dataset_prepared_path: last_run_prepared | |
| val_set_size: 0.04 | |
| adapter: lora | |
| lora_model_dir: | |
| sequence_len: 2048 | |
| lora_r: 8 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target_modules: | |
| - q_proj | |
| - v_proj | |
| lora_fan_in_fan_out: false | |
| wandb_project: llama-65b-lora | |
| wandb_watch: | |
| wandb_run_id: | |
| wandb_log_model: | |
| output_dir: ./lora-llama-alpaca | |
| batch_size: 128 | |
| micro_batch_size: 16 | |
| warmup_steps: 1000 | |
| save_steps: | |
| num_epochs: 5 | |
| learning_rate: 0.00003 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: true | |
| tf32: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |