training_parameters.json

{
  "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
}