training_parameters.json

{"lora_name": "medguanaco-33b-lora-8bit", "always_override": false, "save_steps": 0.0, "micro_batch_size": 1, "batch_size": 128, "epochs": 3.0, "learning_rate": "3e-4", "lr_scheduler_type": "linear", "lora_rank": 32, "lora_alpha": 64, "lora_dropout": 0.05, "cutoff_len": 256, "dataset": "medical_meadow_small", "eval_dataset": "None", "format": "alpaca-format", "eval_steps": 100.0, "raw_text_file": "None", "overlap_len": 128, "newline_favor_len": 128, "higher_rank_limit": false, "warmup_steps": 100.0, "optimizer": "adamw_torch", "hard_cut_string": "\\n\\n\\n", "train_only_after": ""}