run-23/checkpoint-214/trainer_state.json

{
  "best_metric": 0.7041593438781488,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-23/checkpoint-214",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 214,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 8.174213409423828,
      "learning_rate": 0.00021193737357349756,
      "loss": 0.6053,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7041593438781488,
      "eval_f1": 0.4107351225204201,
      "eval_loss": 0.5531450510025024,
      "eval_mcc": 0.2654659366009494,
      "eval_precision": 0.6111111111111112,
      "eval_recall": 0.3093145869947276,
      "eval_runtime": 3.1397,
      "eval_samples_per_second": 543.682,
      "eval_steps_per_second": 17.199,
      "step": 214
    }
  ],
  "logging_steps": 500,
  "max_steps": 1926,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "total_flos": 524775664440.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9926400370862213,
    "learning_rate": 0.00023842954527018476,
    "num_train_epochs": 9,
    "temperature": 23
  }
}