run-4/checkpoint-39/trainer_state.json

{
  "best_metric": 0.6513409961685823,
  "best_model_checkpoint": "bert-finetuned-spam/run-4/checkpoint-39",
  "epoch": 2.9433962264150946,
  "eval_steps": 500,
  "global_step": 39,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.9811320754716981,
      "eval_accuracy": 0.6360153256704981,
      "eval_loss": 0.6667433977127075,
      "eval_runtime": 11.9551,
      "eval_samples_per_second": 87.327,
      "eval_steps_per_second": 5.521,
      "step": 13
    },
    {
      "epoch": 1.9622641509433962,
      "eval_accuracy": 0.6369731800766284,
      "eval_loss": 0.6545999646186829,
      "eval_runtime": 11.9785,
      "eval_samples_per_second": 87.156,
      "eval_steps_per_second": 5.51,
      "step": 26
    },
    {
      "epoch": 2.9433962264150946,
      "eval_accuracy": 0.6513409961685823,
      "eval_loss": 0.646373987197876,
      "eval_runtime": 11.9349,
      "eval_samples_per_second": 87.475,
      "eval_steps_per_second": 5.53,
      "step": 39
    }
  ],
  "logging_steps": 500,
  "max_steps": 39,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 6.10788229546224e-05,
    "num_train_epochs": 3,
    "per_device_train_batch_size": 64,
    "seed": 16
  }
}