{
  "best_metric": 0.5148514851485149,
  "best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-176",
  "epoch": 10.0,
  "eval_steps": 500,
  "global_step": 1760,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 0.5431386232376099,
      "learning_rate": 0.00012088388613301416,
      "loss": 0.2133,
      "step": 176
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5148514851485149,
      "eval_f1": 0.14035087719298245,
      "eval_loss": 0.20053359866142273,
      "eval_precision": 0.6060606060606061,
      "eval_recall": 0.07936507936507936,
      "eval_runtime": 15.0376,
      "eval_samples_per_second": 33.582,
      "eval_steps_per_second": 1.064,
      "step": 176
    },
    {
      "epoch": 2.0,
      "grad_norm": 0.2198910117149353,
      "learning_rate": 0.00010745234322934593,
      "loss": 0.2028,
      "step": 352
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5069306930693069,
      "eval_f1": 0.1263157894736842,
      "eval_loss": 0.20091117918491364,
      "eval_precision": 0.5454545454545454,
      "eval_recall": 0.07142857142857142,
      "eval_runtime": 14.9354,
      "eval_samples_per_second": 33.812,
      "eval_steps_per_second": 1.071,
      "step": 352
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.5269190669059753,
      "learning_rate": 9.402080032567768e-05,
      "loss": 0.2015,
      "step": 528
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.5128712871287129,
      "eval_f1": 0.15172413793103445,
      "eval_loss": 0.20115335285663605,
      "eval_precision": 0.5789473684210527,
      "eval_recall": 0.0873015873015873,
      "eval_runtime": 15.3006,
      "eval_samples_per_second": 33.005,
      "eval_steps_per_second": 1.046,
      "step": 528
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.6160932183265686,
      "learning_rate": 8.058925742200945e-05,
      "loss": 0.2007,
      "step": 704
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5128712871287129,
      "eval_f1": 0.15753424657534246,
      "eval_loss": 0.20070397853851318,
      "eval_precision": 0.575,
      "eval_recall": 0.09126984126984126,
      "eval_runtime": 15.3305,
      "eval_samples_per_second": 32.941,
      "eval_steps_per_second": 1.044,
      "step": 704
    },
    {
      "epoch": 5.0,
      "grad_norm": 0.17378416657447815,
      "learning_rate": 6.71577145183412e-05,
      "loss": 0.2004,
      "step": 880
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.5089108910891089,
      "eval_f1": 0.1267605633802817,
      "eval_loss": 0.19792087376117706,
      "eval_precision": 0.5625,
      "eval_recall": 0.07142857142857142,
      "eval_runtime": 15.059,
      "eval_samples_per_second": 33.535,
      "eval_steps_per_second": 1.062,
      "step": 880
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.18278618156909943,
      "learning_rate": 5.3726171614672966e-05,
      "loss": 0.1992,
      "step": 1056
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.504950495049505,
      "eval_f1": 0.13194444444444445,
      "eval_loss": 0.19790016114711761,
      "eval_precision": 0.5277777777777778,
      "eval_recall": 0.07539682539682539,
      "eval_runtime": 14.8776,
      "eval_samples_per_second": 33.944,
      "eval_steps_per_second": 1.075,
      "step": 1056
    },
    {
      "epoch": 7.0,
      "grad_norm": 0.32294225692749023,
      "learning_rate": 4.029462871100472e-05,
      "loss": 0.1985,
      "step": 1232
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.5108910891089109,
      "eval_f1": 0.13937282229965156,
      "eval_loss": 0.19708825647830963,
      "eval_precision": 0.5714285714285714,
      "eval_recall": 0.07936507936507936,
      "eval_runtime": 15.1516,
      "eval_samples_per_second": 33.33,
      "eval_steps_per_second": 1.056,
      "step": 1232
    },
    {
      "epoch": 8.0,
      "grad_norm": 0.24637407064437866,
      "learning_rate": 2.6863085807336483e-05,
      "loss": 0.1984,
      "step": 1408
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.5108910891089109,
      "eval_f1": 0.13937282229965156,
      "eval_loss": 0.19653446972370148,
      "eval_precision": 0.5714285714285714,
      "eval_recall": 0.07936507936507936,
      "eval_runtime": 14.8734,
      "eval_samples_per_second": 33.953,
      "eval_steps_per_second": 1.076,
      "step": 1408
    },
    {
      "epoch": 9.0,
      "grad_norm": 0.2087116688489914,
      "learning_rate": 1.3431542903668242e-05,
      "loss": 0.198,
      "step": 1584
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.5108910891089109,
      "eval_f1": 0.13937282229965156,
      "eval_loss": 0.19648496806621552,
      "eval_precision": 0.5714285714285714,
      "eval_recall": 0.07936507936507936,
      "eval_runtime": 15.3381,
      "eval_samples_per_second": 32.925,
      "eval_steps_per_second": 1.043,
      "step": 1584
    },
    {
      "epoch": 10.0,
      "grad_norm": 0.36322712898254395,
      "learning_rate": 0.0,
      "loss": 0.1975,
      "step": 1760
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.5108910891089109,
      "eval_f1": 0.13937282229965156,
      "eval_loss": 0.19634994864463806,
      "eval_precision": 0.5714285714285714,
      "eval_recall": 0.07936507936507936,
      "eval_runtime": 14.8929,
      "eval_samples_per_second": 33.909,
      "eval_steps_per_second": 1.074,
      "step": 1760
    }
  ],
  "logging_steps": 500,
  "max_steps": 1760,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "total_flos": 7778432831400.0,
  "train_batch_size": 54,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.239256796645401,
    "learning_rate": 0.0001343154290366824,
    "num_train_epochs": 10,
    "per_device_train_batch_size": 54,
    "temperature": 13
  }
}