| # Example config for debugging the sharegpt prompt format | |
| base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0 | |
| model_type: LlamaForCausalLM | |
| tokenizer_type: LlamaTokenizer | |
| load_in_8bit: true | |
| load_in_4bit: false | |
| datasets: | |
| - path: philschmid/guanaco-sharegpt-style | |
| type: sharegpt | |
| shards: 10 | |
| val_set_size: 0 | |
| output_dir: temp_debug/axolotl_outputs/model | |
| dataset_prepared_path: temp_debug/axolotl_outputs/data | |
| dataset_processes: 1 | |
| sequence_len: 4096 | |
| sample_packing: false | |
| pad_to_sequence_len: true | |
| adapter: lora | |
| lora_model_dir: | |
| lora_r: 32 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| micro_batch_size: 1 | |
| num_epochs: 1 | |
| max_steps: 10 | |
| optimizer: adamw_bnb_8bit | |
| lr_scheduler: cosine | |
| learning_rate: 0.0002 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: false | |
| fp16: true | |
| tf32: false | |
| gradient_checkpointing: true | |
| logging_steps: 1 | |
| flash_attention: true | |
| warmup_steps: 10 | |
| weight_decay: 0.0 | |