| { |
| "lora_name": "charluv-lora", |
| "always_override": true, |
| "save_steps": 1000.0, |
| "micro_batch_size": 4, |
| "batch_size": 0, |
| "epochs": 1.0, |
| "learning_rate": "3e-4", |
| "lr_scheduler_type": "linear", |
| "lora_rank": 128, |
| "lora_alpha": 256, |
| "lora_dropout": 0.05, |
| "cutoff_len": 256, |
| "dataset": "training", |
| "eval_dataset": "None", |
| "format": "alpaca-format", |
| "eval_steps": 100.0, |
| "raw_text_file": "None", |
| "higher_rank_limit": false, |
| "warmup_steps": 100.0, |
| "optimizer": "adamw_torch", |
| "hard_cut_string": "\\n\\n\\n", |
| "train_only_after": "", |
| "stop_at_loss": 0.1, |
| "add_eos_token": false, |
| "min_chars": 0.0, |
| "report_to": "None", |
| "precize_slicing_overlap": true, |
| "add_eos_token_type": "Every Block", |
| "save_steps_under_loss": 1.8, |
| "add_bos_token": true, |
| "training_projection": "all", |
| "sliding_window": false, |
| "warmup_ratio": 0, |
| "grad_accumulation": 1, |
| "neft_noise_alpha": 0 |
| } |
