{
  "best_metric": 0.6025658845901489,
  "best_model_checkpoint": "BERT-WMM/run-4/checkpoint-268",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 536,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7352112676056338,
      "eval_loss": 0.632646918296814,
      "eval_runtime": 1.9849,
      "eval_samples_per_second": 1073.124,
      "eval_steps_per_second": 67.511,
      "step": 134
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7539906103286385,
      "eval_loss": 0.6025658845901489,
      "eval_runtime": 2.0385,
      "eval_samples_per_second": 1044.892,
      "eval_steps_per_second": 65.735,
      "step": 268
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.760093896713615,
      "eval_loss": 0.6695208549499512,
      "eval_runtime": 2.0168,
      "eval_samples_per_second": 1056.124,
      "eval_steps_per_second": 66.442,
      "step": 402
    },
    {
      "epoch": 3.73,
      "grad_norm": 11.244783401489258,
      "learning_rate": 1.9838092768709567e-06,
      "loss": 0.4285,
      "step": 500
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7666666666666667,
      "eval_loss": 0.7637132406234741,
      "eval_runtime": 2.0114,
      "eval_samples_per_second": 1058.984,
      "eval_steps_per_second": 66.622,
      "step": 536
    }
  ],
  "logging_steps": 500,
  "max_steps": 536,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 500,
  "total_flos": 709335274032504.0,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 2.9536715900078686e-05,
    "num_train_epochs": 4,
    "per_device_train_batch_size": 64,
    "weight_decay": 0.0002947113945627026
  }
}