{
  "best_metric": 0.0023566017149643857,
  "best_model_checkpoint": "ProtBert-finetuned-1000/checkpoint-500",
  "epoch": 0.281135788585887,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.14,
      "learning_rate": 4.929716052853529e-05,
      "loss": 0.1035,
      "step": 500
    },
    {
      "epoch": 0.14,
      "eval_accuracy": 0.0,
      "eval_f1": 0.0023566017149643857,
      "eval_loss": 0.10427699983119965,
      "eval_precision": 0.0019404920913884008,
      "eval_recall": 0.003,
      "eval_runtime": 61.2155,
      "eval_samples_per_second": 464.751,
      "eval_steps_per_second": 14.539,
      "step": 500
    },
    {
      "epoch": 0.28,
      "learning_rate": 4.859432105707057e-05,
      "loss": 0.1051,
      "step": 1000
    },
    {
      "epoch": 0.28,
      "eval_accuracy": 0.0,
      "eval_f1": 0.0023566017149643857,
      "eval_loss": 0.10420690476894379,
      "eval_precision": 0.0019404920913884008,
      "eval_recall": 0.003,
      "eval_runtime": 71.2284,
      "eval_samples_per_second": 399.42,
      "eval_steps_per_second": 12.495,
      "step": 1000
    }
  ],
  "max_steps": 35570,
  "num_train_epochs": 10,
  "total_flos": 218858899968000.0,
  "trial_name": null,
  "trial_params": null
}