| base_model: cerebras/Cerebras-GPT-1.3B | |
| model_type: AutoModelForCausalLM | |
| tokenizer_type: AutoTokenizer | |
| load_in_8bit: true | |
| datasets: | |
| - path: data/alpaca_data_gpt4.jsonl | |
| type: alpaca | |
| - path: data/vicuna_cleaned.jsonl | |
| 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: 0.05 | |
| adapter: lora | |
| sequence_len: 2048 | |
| lora_r: 8 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target_modules: | |
| - c_attn | |
| lora_fan_in_fan_out: false | |
| wandb_project: pythia-1.4b-lora | |
| wandb_watch: | |
| wandb_run_id: | |
| wandb_log_model: | |
| output_dir: ./lora-alpaca | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 4 | |
| num_epochs: 5 | |
| learning_rate: 0.0003 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: True | |
| tf32: True | |
| gradient_checkpointing: | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |