config_experiment_sample.json

{
  "model_type": "deberta",
  "data_format_mode": 0,
  "classification_scheme": 2,
  "pretrained_model": "microsoft/deberta-base",
  "data_dir": "../sample_data",
  "new_model_dir": "../deberta_re_model",
  "predict_output_file": "../deberta_re_predict.txt",
  "overwrite_model_dir": true,
  "seed": 1234,
  "max_seq_length": 128,
  "cache_data": false,
  "data_file_header": true,
  "do_train": true,
  "do_eval": false,
  "do_predict": true,
  "do_lower_case": true,
  "train_batch_size": 2,
  "eval_batch_size": 32,
  "learning_rate": 1e-05,
  "num_train_epochs": 5,
  "gradient_accumulation_steps": 1,
  "do_warmup": true,
  "warmup_ratio": 0.1,
  "weight_decay": 0.0,
  "adam_epsilon": 1e-08,
  "max_grad_norm": 1.0,
  "max_num_checkpoints": 0,
  "log_file": null,
  "log_lvl": "i",
  "log_step": 2,
  "num_core": 4,
  "non_relation_label": "nonRel",
  "progress_bar": false,
  "fp16": false,
  "fp16_opt_level": "O1",
  "use_focal_loss": false,
  "focal_loss_gamma": 2,
  "use_binary_classification_mode": false,
  "balance_sample_weights": false
}