{
  "best_metric": 0.6673267326732674,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-2970",
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 2970,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.8816747665405273,
      "learning_rate": 0.0001319007893143593,
      "loss": 0.4812,
      "step": 297
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5188118811881188,
      "eval_loss": 0.4719693958759308,
      "eval_runtime": 14.5929,
      "eval_samples_per_second": 34.606,
      "eval_steps_per_second": 1.096,
      "step": 297
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.699450671672821,
      "learning_rate": 0.00011724514605720826,
      "loss": 0.4696,
      "step": 594
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5801980198019802,
      "eval_loss": 0.46854168176651,
      "eval_runtime": 15.1826,
      "eval_samples_per_second": 33.262,
      "eval_steps_per_second": 1.054,
      "step": 594
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.2772634029388428,
      "learning_rate": 0.00010258950280005722,
      "loss": 0.4576,
      "step": 891
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.6336633663366337,
      "eval_loss": 0.46670353412628174,
      "eval_runtime": 14.6186,
      "eval_samples_per_second": 34.545,
      "eval_steps_per_second": 1.094,
      "step": 891
    },
    {
      "epoch": 4.0,
      "grad_norm": 1.0283604860305786,
      "learning_rate": 8.793385954290618e-05,
      "loss": 0.4458,
      "step": 1188
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.6356435643564357,
      "eval_loss": 0.4543105363845825,
      "eval_runtime": 15.6547,
      "eval_samples_per_second": 32.259,
      "eval_steps_per_second": 1.022,
      "step": 1188
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.320448398590088,
      "learning_rate": 7.327821628575516e-05,
      "loss": 0.4413,
      "step": 1485
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.6415841584158416,
      "eval_loss": 0.4486277401447296,
      "eval_runtime": 14.9223,
      "eval_samples_per_second": 33.842,
      "eval_steps_per_second": 1.072,
      "step": 1485
    },
    {
      "epoch": 6.0,
      "grad_norm": 1.926311731338501,
      "learning_rate": 5.862257302860413e-05,
      "loss": 0.4367,
      "step": 1782
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.6336633663366337,
      "eval_loss": 0.44990047812461853,
      "eval_runtime": 15.0105,
      "eval_samples_per_second": 33.643,
      "eval_steps_per_second": 1.066,
      "step": 1782
    },
    {
      "epoch": 7.0,
      "grad_norm": 1.3797311782836914,
      "learning_rate": 4.396692977145309e-05,
      "loss": 0.4336,
      "step": 2079
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.6574257425742575,
      "eval_loss": 0.4465705454349518,
      "eval_runtime": 14.9751,
      "eval_samples_per_second": 33.723,
      "eval_steps_per_second": 1.068,
      "step": 2079
    },
    {
      "epoch": 8.0,
      "grad_norm": 1.7872868776321411,
      "learning_rate": 2.9311286514302065e-05,
      "loss": 0.4305,
      "step": 2376
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.6534653465346535,
      "eval_loss": 0.44232580065727234,
      "eval_runtime": 15.2623,
      "eval_samples_per_second": 33.088,
      "eval_steps_per_second": 1.048,
      "step": 2376
    },
    {
      "epoch": 9.0,
      "grad_norm": 1.2580420970916748,
      "learning_rate": 1.4655643257151032e-05,
      "loss": 0.4287,
      "step": 2673
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.6574257425742575,
      "eval_loss": 0.4441685378551483,
      "eval_runtime": 17.0285,
      "eval_samples_per_second": 29.656,
      "eval_steps_per_second": 0.94,
      "step": 2673
    },
    {
      "epoch": 10.0,
      "grad_norm": 1.7653656005859375,
      "learning_rate": 0.0,
      "loss": 0.4265,
      "step": 2970
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.6673267326732674,
      "eval_loss": 0.44359874725341797,
      "eval_runtime": 15.5409,
      "eval_samples_per_second": 32.495,
      "eval_steps_per_second": 1.03,
      "step": 2970
    }
  ],
  "logging_steps": 500,
  "max_steps": 2970,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 7778432831400.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.6312656697409034,
    "learning_rate": 0.00014655643257151032,
    "num_train_epochs": 10,
    "temperature": 21
  }
}