| add_bos: false | |
| checkpointing_steps: null | |
| clip_grad_norm: -1 | |
| config_name: null | |
| dataset_config_name: null | |
| dataset_name: null | |
| gradient_accumulation_steps: 32 | |
| gradient_checkpointing: true | |
| learning_rate: 2.0e-05 | |
| logging_steps: 1 | |
| lora_alpha: 16 | |
| lora_dropout: 0.1 | |
| lora_rank: 64 | |
| low_cpu_mem_usage: false | |
| lr_scheduler_type: linear | |
| max_seq_length: 700 | |
| max_train_steps: 14 | |
| model_name_or_path: codellama/CodeLlama-7b-Python-hf | |
| num_train_epochs: 2 | |
| output_dir: outputs/refinement_7b/ | |
| overwrite_cache: false | |
| per_device_train_batch_size: 2 | |
| preprocessing_num_workers: 16 | |
| reduce_loss: mean | |
| report_to: tensorboard | |
| resume_from_checkpoint: null | |
| seed: null | |
| timeout: 1800 | |
| tokenizer_name: codellama/CodeLlama-7b-Python-hf | |
| train_file: /local1/mohsenfayyaz/projects/cs247/cs247/xq_scripts/data_refinement_train.jsonl | |
| trust_remote_code: false | |
| use_8bit_optimizer: false | |
| use_flash_attn: true | |
| use_lora: false | |
| use_qlora: false | |
| use_slow_tokenizer: true | |
| warmup_ratio: 0.03 | |
| weight_decay: 0.0 | |
| with_tracking: true | |