{
  "best_metric": 0.8635321100917431,
  "best_model_checkpoint": "bert-base-uncased-finetuned-sst2/run-2/checkpoint-1684",
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 1684,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.3,
      "grad_norm": 267.4592590332031,
      "learning_rate": 6.490431462154475e-05,
      "loss": 0.6127,
      "step": 500
    },
    {
      "epoch": 0.59,
      "grad_norm": 9.022435188293457,
      "learning_rate": 3.749539797393294e-05,
      "loss": 0.5862,
      "step": 1000
    },
    {
      "epoch": 0.89,
      "grad_norm": 10.805120468139648,
      "learning_rate": 1.0086481326321143e-05,
      "loss": 0.4922,
      "step": 1500
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8635321100917431,
      "eval_loss": 0.47688528895378113,
      "eval_runtime": 2.4,
      "eval_samples_per_second": 363.329,
      "eval_steps_per_second": 22.916,
      "step": 1684
    }
  ],
  "logging_steps": 500,
  "max_steps": 1684,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 500,
  "total_flos": 73089373401840.0,
  "train_batch_size": 4,
  "trial_name": null,
  "trial_params": {
    "learning_rate": 9.231323126915654e-05,
    "num_train_epochs": 1,
    "per_device_train_batch_size": 4,
    "seed": 29
  }
}