| badam_mode: layer | |
| badam_switch_interval: 7 | |
| badam_switch_mode: ascending | |
| badam_update_ratio: 0.05 | |
| bf16: true | |
| cutoff_len: 10240 | |
| dataset: api_eval_dataset | |
| dataset_dir: data | |
| ddp_timeout: 180000000 | |
| do_train: true | |
| finetuning_type: full | |
| flash_attn: fa2 | |
| gradient_accumulation_steps: 4 | |
| include_num_input_tokens_seen: true | |
| learning_rate: 3.0e-06 | |
| logging_steps: 5 | |
| lr_scheduler_type: cosine | |
| max_grad_norm: 1.0 | |
| max_samples: 10000000 | |
| model_name_or_path: microsoft/Phi-3.5-mini-instruct | |
| num_train_epochs: 32.0 | |
| optim: adamw_torch | |
| output_dir: saves/Custom/full/SpecAI | |
| packing: false | |
| per_device_train_batch_size: 4 | |
| plot_loss: true | |
| preprocessing_num_workers: 16 | |
| report_to: none | |
| save_steps: 2000 | |
| shift_attn: true | |
| stage: sft | |
| template: phi | |
| use_badam: true | |
| warmup_steps: 0 | |