{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 9.433962264150944,
  "eval_steps": 500,
  "global_step": 3000,
  "is_hyper_param_search": true,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.5938709677419355,
      "eval_loss": 0.19997140765190125,
      "eval_runtime": 5.4307,
      "eval_samples_per_second": 570.829,
      "eval_steps_per_second": 11.969,
      "step": 318
    },
    {
      "epoch": 1.5723270440251573,
      "grad_norm": 0.5329213738441467,
      "learning_rate": 1.685534591194969e-05,
      "loss": 0.3229,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8238709677419355,
      "eval_loss": 0.09559512138366699,
      "eval_runtime": 5.9449,
      "eval_samples_per_second": 521.456,
      "eval_steps_per_second": 10.934,
      "step": 636
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8812903225806452,
      "eval_loss": 0.06311405450105667,
      "eval_runtime": 5.4649,
      "eval_samples_per_second": 567.253,
      "eval_steps_per_second": 11.894,
      "step": 954
    },
    {
      "epoch": 3.1446540880503147,
      "grad_norm": 0.44504690170288086,
      "learning_rate": 1.371069182389937e-05,
      "loss": 0.1111,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9006451612903226,
      "eval_loss": 0.048286207020282745,
      "eval_runtime": 5.6179,
      "eval_samples_per_second": 551.809,
      "eval_steps_per_second": 11.57,
      "step": 1272
    },
    {
      "epoch": 4.716981132075472,
      "grad_norm": 0.3021944761276245,
      "learning_rate": 1.0566037735849058e-05,
      "loss": 0.0699,
      "step": 1500
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.9103225806451613,
      "eval_loss": 0.03919174522161484,
      "eval_runtime": 5.7364,
      "eval_samples_per_second": 540.408,
      "eval_steps_per_second": 11.331,
      "step": 1590
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.9132258064516129,
      "eval_loss": 0.03407873958349228,
      "eval_runtime": 5.4521,
      "eval_samples_per_second": 568.585,
      "eval_steps_per_second": 11.922,
      "step": 1908
    },
    {
      "epoch": 6.289308176100629,
      "grad_norm": 0.2565140724182129,
      "learning_rate": 7.421383647798742e-06,
      "loss": 0.0542,
      "step": 2000
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.9229032258064516,
      "eval_loss": 0.03131110221147537,
      "eval_runtime": 5.7847,
      "eval_samples_per_second": 535.896,
      "eval_steps_per_second": 11.237,
      "step": 2226
    },
    {
      "epoch": 7.861635220125786,
      "grad_norm": 0.27681249380111694,
      "learning_rate": 4.276729559748428e-06,
      "loss": 0.0468,
      "step": 2500
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.9270967741935484,
      "eval_loss": 0.028976548463106155,
      "eval_runtime": 5.5382,
      "eval_samples_per_second": 559.747,
      "eval_steps_per_second": 11.737,
      "step": 2544
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.9283870967741935,
      "eval_loss": 0.027913924306631088,
      "eval_runtime": 5.4095,
      "eval_samples_per_second": 573.066,
      "eval_steps_per_second": 12.016,
      "step": 2862
    },
    {
      "epoch": 9.433962264150944,
      "grad_norm": 0.2555118501186371,
      "learning_rate": 1.1320754716981133e-06,
      "loss": 0.0434,
      "step": 3000
    }
  ],
  "logging_steps": 500,
  "max_steps": 3180,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 10,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 780738843279612.0,
  "train_batch_size": 48,
  "trial_name": null,
  "trial_params": {
    "alpha": 0.16854985287286628,
    "num_train_epochs": 10,
    "temperature": 10
  }
}