{
  "best_metric": 0.8346379647749511,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-38/checkpoint-864",
  "epoch": 9.0,
  "eval_steps": 500,
  "global_step": 864,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.8633686304092407,
      "learning_rate": 0.00011164310281576651,
      "loss": 0.584,
      "step": 96
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7690802348336595,
      "eval_f1": 0.7993197278911565,
      "eval_loss": 0.48832422494888306,
      "eval_precision": 0.706766917293233,
      "eval_recall": 0.9197651663405088,
      "eval_runtime": 28.3969,
      "eval_samples_per_second": 35.99,
      "eval_steps_per_second": 1.127,
      "step": 96
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.9557557106018066,
      "learning_rate": 9.76877149637957e-05,
      "loss": 0.4827,
      "step": 192
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8003913894324853,
      "eval_f1": 0.8222996515679443,
      "eval_loss": 0.44451940059661865,
      "eval_precision": 0.7409733124018838,
      "eval_recall": 0.923679060665362,
      "eval_runtime": 28.5294,
      "eval_samples_per_second": 35.823,
      "eval_steps_per_second": 1.122,
      "step": 192
    },
    {
      "epoch": 3.0,
      "grad_norm": 3.0629470348358154,
      "learning_rate": 8.373232711182488e-05,
      "loss": 0.448,
      "step": 288
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.824853228962818,
      "eval_f1": 0.8353265869365226,
      "eval_loss": 0.4216720759868622,
      "eval_precision": 0.7881944444444444,
      "eval_recall": 0.8884540117416829,
      "eval_runtime": 28.7944,
      "eval_samples_per_second": 35.493,
      "eval_steps_per_second": 1.111,
      "step": 288
    },
    {
      "epoch": 4.0,
      "grad_norm": 5.688210964202881,
      "learning_rate": 6.977693925985407e-05,
      "loss": 0.4341,
      "step": 384
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8209393346379648,
      "eval_f1": 0.825214899713467,
      "eval_loss": 0.42298367619514465,
      "eval_precision": 0.8059701492537313,
      "eval_recall": 0.8454011741682974,
      "eval_runtime": 28.2399,
      "eval_samples_per_second": 36.19,
      "eval_steps_per_second": 1.133,
      "step": 384
    },
    {
      "epoch": 5.0,
      "grad_norm": 2.334526300430298,
      "learning_rate": 5.5821551407883254e-05,
      "loss": 0.4202,
      "step": 480
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8287671232876712,
      "eval_f1": 0.8436103663985702,
      "eval_loss": 0.4076910614967346,
      "eval_precision": 0.7763157894736842,
      "eval_recall": 0.923679060665362,
      "eval_runtime": 28.534,
      "eval_samples_per_second": 35.817,
      "eval_steps_per_second": 1.121,
      "step": 480
    },
    {
      "epoch": 6.0,
      "grad_norm": 4.195997714996338,
      "learning_rate": 4.186616355591244e-05,
      "loss": 0.4109,
      "step": 576
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8258317025440313,
      "eval_f1": 0.842756183745583,
      "eval_loss": 0.4115942418575287,
      "eval_precision": 0.7681159420289855,
      "eval_recall": 0.9334637964774951,
      "eval_runtime": 28.3073,
      "eval_samples_per_second": 36.104,
      "eval_steps_per_second": 1.13,
      "step": 576
    },
    {
      "epoch": 7.0,
      "grad_norm": 2.727288007736206,
      "learning_rate": 2.7910775703941627e-05,
      "loss": 0.4017,
      "step": 672
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8307240704500979,
      "eval_f1": 0.8467670504871568,
      "eval_loss": 0.41019657254219055,
      "eval_precision": 0.7734627831715211,
      "eval_recall": 0.9354207436399217,
      "eval_runtime": 28.5087,
      "eval_samples_per_second": 35.849,
      "eval_steps_per_second": 1.122,
      "step": 672
    },
    {
      "epoch": 8.0,
      "grad_norm": 3.721353530883789,
      "learning_rate": 1.3955387851970814e-05,
      "loss": 0.4014,
      "step": 768
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8258317025440313,
      "eval_f1": 0.8405017921146953,
      "eval_loss": 0.40405774116516113,
      "eval_precision": 0.775206611570248,
      "eval_recall": 0.9178082191780822,
      "eval_runtime": 28.5925,
      "eval_samples_per_second": 35.744,
      "eval_steps_per_second": 1.119,
      "step": 768
    },
    {
      "epoch": 9.0,
      "grad_norm": 2.3781871795654297,
      "learning_rate": 0.0,
      "loss": 0.3968,
      "step": 864
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8346379647749511,
      "eval_f1": 0.8456621004566209,
      "eval_loss": 0.4000749886035919,
      "eval_precision": 0.7928082191780822,
      "eval_recall": 0.9060665362035225,
      "eval_runtime": 28.358,
      "eval_samples_per_second": 36.039,
      "eval_steps_per_second": 1.128,
      "step": 864
    }
  ],
  "logging_steps": 500,
  "max_steps": 864,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 9,
  "save_steps": 500,
  "total_flos": 2121256775520.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.8898885181069172,
    "learning_rate": 0.00012559849066773733,
    "num_train_epochs": 9,
    "temperature": 3
  }
}