| base_model: EleutherAI/pythia-12b-deduped | |
| base_model_ignore_patterns: pytorch* # prefer safetensors | |
| model_type: GPTNeoXForCausalLM | |
| tokenizer_type: AutoTokenizer | |
| load_in_8bit: false | |
| load_in_4bit: false | |
| gptq: false | |
| device_map: auto | |
| datasets: | |
| - path: vicgalle/alpaca-gpt4 | |
| type: alpaca | |
| dataset_prepared_path: | |
| val_set_size: 0.05 | |
| adapter: | |
| lora_model_dir: | |
| sequence_len: 2048 | |
| max_packed_sequence_len: 2048 | |
| lora_r: 64 | |
| lora_alpha: 32 | |
| lora_dropout: 0.0 | |
| lora_target_modules: | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: true # pythia/GPTNeoX lora specific | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| output_dir: ./outputs/pythia-12b | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 1 | |
| num_epochs: 5 | |
| learning_rate: 0.00003 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: false | |
| fp16: false | |
| float16: true | |
| tf32: true | |
| flash_optimum: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| gradient_checkpointing: true | |
| fsdp: | |
| fsdp_config: | |