| base_model: gpt2-xl | |
| model_type: GPT2LMHeadModel | |
| tokenizer_type: GPT2Tokenizer | |
| is_gpt2_derived_model: true | |
| load_in_8bit: false | |
| load_in_4bit: true | |
| strict: false | |
| datasets: | |
| - path: train_naming.csv | |
| type: csv | |
| column_names: | |
| - Label | |
| - Text | |
| dataset_prepared_path: | |
| val_set_size: 0.05 | |
| output_dir: ./outputs/qlora-out | |
| adapter: qlora | |
| lora_model_dir: | |
| sequence_len: 1096 | |
| sample_packing: true | |
| pad_to_sequence_len: true | |
| lora_r: 32 | |
| lora_alpha: 16 | |
| lora_dropout: 0.05 | |
| lora_target_modules: | |
| lora_target_linear: true | |
| lora_fan_in_fan_out: | |
| wandb_project: | |
| wandb_entity: | |
| wandb_watch: | |
| wandb_name: | |
| wandb_log_model: | |
| mlflow_experiment_name: colab-example | |
| gradient_accumulation_steps: 1 | |
| micro_batch_size: 1 | |
| num_epochs: 4 | |
| max_steps: 20 | |
| optimizer: paged_adamw_32bit | |
| lr_scheduler: cosine | |
| learning_rate: 5e-5 | |
| train_on_inputs: false | |
| group_by_length: false | |
| bf16: false | |
| fp16: true | |
| tf32: false | |
| gradient_checkpointing: true | |
| early_stopping_patience: | |
| resume_from_checkpoint: | |
| local_rank: | |
| logging_steps: 1 | |
| xformers_attention: false | |
| flash_attention: true | |
| warmup_steps: 10 | |
| evals_per_epoch: | |
| saves_per_epoch: | |
| debug: | |
| deepspeed: | |
| weight_decay: 0.1 | |
| fsdp: | |
| fsdp_config: | |
| special_tokens: | |
| save_safetensors: true |