training_parameters.json

{
  "lora_name": "Orcawiz7bloraMini",
  "always_override": false,
  "save_steps": 300.0,
  "micro_batch_size": 4,
  "batch_size": 128,
  "epochs": 4.0,
  "learning_rate": "2e-5",
  "lr_scheduler_type": "cosine",
  "lora_rank": 32,
  "lora_alpha": 64,
  "lora_dropout": 0.05,
  "cutoff_len": 2048,
  "dataset": "FilteredOrcaWizardClean2spaces",
  "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_bnb_8bit",
  "hard_cut_string": "\\n\\n\\n",
  "train_only_after": "",
  "stop_at_loss": 0
}