{
  "best_metric": 0.7803163444639719,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-21/checkpoint-1712",
  "epoch": 8.0,
  "eval_steps": 500,
  "global_step": 1712,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 6.750798225402832,
      "learning_rate": 0.00029949232941444245,
      "loss": 0.5927,
      "step": 214
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7147041593438781,
      "eval_f1": 0.4236686390532544,
      "eval_loss": 0.5422016978263855,
      "eval_mcc": 0.293664298583451,
      "eval_precision": 0.6485507246376812,
      "eval_recall": 0.3145869947275923,
      "eval_runtime": 3.1455,
      "eval_samples_per_second": 542.682,
      "eval_steps_per_second": 17.167,
      "step": 214
    },
    {
      "epoch": 2.0,
      "grad_norm": 2.565903902053833,
      "learning_rate": 0.00027453463529657224,
      "loss": 0.5298,
      "step": 428
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7357937902753369,
      "eval_f1": 0.5124324324324324,
      "eval_loss": 0.5132952928543091,
      "eval_mcc": 0.36196008516504746,
      "eval_precision": 0.6657303370786517,
      "eval_recall": 0.4165202108963093,
      "eval_runtime": 3.2065,
      "eval_samples_per_second": 532.363,
      "eval_steps_per_second": 16.841,
      "step": 428
    },
    {
      "epoch": 3.0,
      "grad_norm": 2.1464009284973145,
      "learning_rate": 0.00024957694117870203,
      "loss": 0.5051,
      "step": 642
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.7340363210310487,
      "eval_f1": 0.41191709844559593,
      "eval_loss": 0.5232194066047668,
      "eval_mcc": 0.3506417522239517,
      "eval_precision": 0.7832512315270936,
      "eval_recall": 0.27943760984182775,
      "eval_runtime": 3.1624,
      "eval_samples_per_second": 539.782,
      "eval_steps_per_second": 17.076,
      "step": 642
    },
    {
      "epoch": 4.0,
      "grad_norm": 3.173802375793457,
      "learning_rate": 0.00022461924706083182,
      "loss": 0.4904,
      "step": 856
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.7434094903339191,
      "eval_f1": 0.46715328467153294,
      "eval_loss": 0.49749329686164856,
      "eval_mcc": 0.37656942971572427,
      "eval_precision": 0.758893280632411,
      "eval_recall": 0.3374340949033392,
      "eval_runtime": 3.4589,
      "eval_samples_per_second": 493.508,
      "eval_steps_per_second": 15.612,
      "step": 856
    },
    {
      "epoch": 5.0,
      "grad_norm": 5.341954708099365,
      "learning_rate": 0.00019966155294296164,
      "loss": 0.4762,
      "step": 1070
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.7381370826010545,
      "eval_f1": 0.6499608457321848,
      "eval_loss": 0.5032187104225159,
      "eval_mcc": 0.4515022458491435,
      "eval_precision": 0.5861581920903954,
      "eval_recall": 0.7293497363796133,
      "eval_runtime": 3.1483,
      "eval_samples_per_second": 542.198,
      "eval_steps_per_second": 17.152,
      "step": 1070
    },
    {
      "epoch": 6.0,
      "grad_norm": 4.139582633972168,
      "learning_rate": 0.00017470385882509143,
      "loss": 0.4708,
      "step": 1284
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.7662565905096661,
      "eval_f1": 0.6288372093023256,
      "eval_loss": 0.48133140802383423,
      "eval_mcc": 0.46078884011912263,
      "eval_precision": 0.6679841897233202,
      "eval_recall": 0.5940246045694201,
      "eval_runtime": 3.3146,
      "eval_samples_per_second": 514.988,
      "eval_steps_per_second": 16.291,
      "step": 1284
    },
    {
      "epoch": 7.0,
      "grad_norm": 4.1577534675598145,
      "learning_rate": 0.00014974616470722122,
      "loss": 0.4562,
      "step": 1498
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.7738722905682484,
      "eval_f1": 0.5936842105263158,
      "eval_loss": 0.48448288440704346,
      "eval_mcc": 0.4625979514063081,
      "eval_precision": 0.7401574803149606,
      "eval_recall": 0.4956063268892794,
      "eval_runtime": 3.1532,
      "eval_samples_per_second": 541.359,
      "eval_steps_per_second": 17.126,
      "step": 1498
    },
    {
      "epoch": 8.0,
      "grad_norm": 4.001567840576172,
      "learning_rate": 0.00012478847058935101,
      "loss": 0.4448,
      "step": 1712
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.7803163444639719,
      "eval_f1": 0.6397694524495678,
      "eval_loss": 0.46665722131729126,
      "eval_mcc": 0.48808014304461034,
      "eval_precision": 0.7055084745762712,
      "eval_recall": 0.5852372583479789,
      "eval_runtime": 3.3884,
      "eval_samples_per_second": 503.777,
      "eval_steps_per_second": 15.937,
      "step": 1712
    }
  ],
  "logging_steps": 500,
  "max_steps": 2782,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 13,
  "save_steps": 500,
  "total_flos": 4198205315520.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.9862491765682508,
    "learning_rate": 0.00032445002353231265,
    "num_train_epochs": 13,
    "temperature": 19
  }
}