{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 20.0,
  "eval_steps": 500,
  "global_step": 2440,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 5.524814605712891,
      "learning_rate": 4.75e-05,
      "loss": 0.559,
      "step": 122
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7268170426065163,
      "eval_f1": 0.6626643397324026,
      "eval_loss": 0.5023075342178345,
      "eval_precision": 0.6671439480717831,
      "eval_recall": 0.6592107655937443,
      "eval_runtime": 5.1488,
      "eval_samples_per_second": 77.494,
      "eval_steps_per_second": 9.711,
      "step": 122
    },
    {
      "epoch": 2.0,
      "grad_norm": 4.053380966186523,
      "learning_rate": 4.5e-05,
      "loss": 0.4818,
      "step": 244
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7568922305764411,
      "eval_f1": 0.7318195361599812,
      "eval_loss": 0.4518365263938904,
      "eval_precision": 0.7247646443514644,
      "eval_recall": 0.7605019094380796,
      "eval_runtime": 5.0624,
      "eval_samples_per_second": 78.816,
      "eval_steps_per_second": 9.877,
      "step": 244
    },
    {
      "epoch": 3.0,
      "grad_norm": 4.935502529144287,
      "learning_rate": 4.25e-05,
      "loss": 0.4129,
      "step": 366
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8245614035087719,
      "eval_f1": 0.7914426523297491,
      "eval_loss": 0.3967439532279968,
      "eval_precision": 0.7875574407917992,
      "eval_recall": 0.7958719767230406,
      "eval_runtime": 5.0699,
      "eval_samples_per_second": 78.7,
      "eval_steps_per_second": 9.862,
      "step": 366
    },
    {
      "epoch": 4.0,
      "grad_norm": 2.5287280082702637,
      "learning_rate": 4e-05,
      "loss": 0.3519,
      "step": 488
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.849624060150376,
      "eval_f1": 0.8176861216035092,
      "eval_loss": 0.36260271072387695,
      "eval_precision": 0.8193355786895284,
      "eval_recall": 0.8161029278050556,
      "eval_runtime": 5.1004,
      "eval_samples_per_second": 78.23,
      "eval_steps_per_second": 9.803,
      "step": 488
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.9849551916122437,
      "learning_rate": 3.7500000000000003e-05,
      "loss": 0.3191,
      "step": 610
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8471177944862155,
      "eval_f1": 0.8234833375639119,
      "eval_loss": 0.3720404803752899,
      "eval_precision": 0.8130172220979647,
      "eval_recall": 0.8393344244408074,
      "eval_runtime": 5.0961,
      "eval_samples_per_second": 78.296,
      "eval_steps_per_second": 9.811,
      "step": 610
    },
    {
      "epoch": 6.0,
      "grad_norm": 4.53737735748291,
      "learning_rate": 3.5e-05,
      "loss": 0.2977,
      "step": 732
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8546365914786967,
      "eval_f1": 0.8303372434017595,
      "eval_loss": 0.3482378423213959,
      "eval_precision": 0.8215506437279252,
      "eval_recall": 0.8421531187488634,
      "eval_runtime": 5.1327,
      "eval_samples_per_second": 77.736,
      "eval_steps_per_second": 9.741,
      "step": 732
    },
    {
      "epoch": 7.0,
      "grad_norm": 1.1117504835128784,
      "learning_rate": 3.2500000000000004e-05,
      "loss": 0.2861,
      "step": 854
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8671679197994987,
      "eval_f1": 0.8439163006974941,
      "eval_loss": 0.33432629704475403,
      "eval_precision": 0.8362546125461254,
      "eval_recall": 0.853518821603928,
      "eval_runtime": 5.0609,
      "eval_samples_per_second": 78.84,
      "eval_steps_per_second": 9.88,
      "step": 854
    },
    {
      "epoch": 8.0,
      "grad_norm": 3.2316811084747314,
      "learning_rate": 3e-05,
      "loss": 0.2662,
      "step": 976
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8621553884711779,
      "eval_f1": 0.8365204824303285,
      "eval_loss": 0.32132402062416077,
      "eval_precision": 0.8313636363636363,
      "eval_recall": 0.8424713584288053,
      "eval_runtime": 5.0451,
      "eval_samples_per_second": 79.087,
      "eval_steps_per_second": 9.911,
      "step": 976
    },
    {
      "epoch": 9.0,
      "grad_norm": 6.981521129608154,
      "learning_rate": 2.7500000000000004e-05,
      "loss": 0.2618,
      "step": 1098
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8696741854636592,
      "eval_f1": 0.8457993935430168,
      "eval_loss": 0.3246487081050873,
      "eval_precision": 0.8398540145985401,
      "eval_recall": 0.8527914166212038,
      "eval_runtime": 5.083,
      "eval_samples_per_second": 78.497,
      "eval_steps_per_second": 9.837,
      "step": 1098
    },
    {
      "epoch": 10.0,
      "grad_norm": 5.816589832305908,
      "learning_rate": 2.5e-05,
      "loss": 0.2556,
      "step": 1220
    },
    {
      "epoch": 10.0,
      "eval_accuracy": 0.8596491228070176,
      "eval_f1": 0.8306964902709584,
      "eval_loss": 0.3065463602542877,
      "eval_precision": 0.8306964902709584,
      "eval_recall": 0.8306964902709584,
      "eval_runtime": 5.0841,
      "eval_samples_per_second": 78.48,
      "eval_steps_per_second": 9.835,
      "step": 1220
    },
    {
      "epoch": 11.0,
      "grad_norm": 2.513470411300659,
      "learning_rate": 2.25e-05,
      "loss": 0.2353,
      "step": 1342
    },
    {
      "epoch": 11.0,
      "eval_accuracy": 0.8721804511278195,
      "eval_f1": 0.850481641770208,
      "eval_loss": 0.3147808015346527,
      "eval_precision": 0.8416070917929654,
      "eval_recall": 0.8620658301509365,
      "eval_runtime": 5.0625,
      "eval_samples_per_second": 78.815,
      "eval_steps_per_second": 9.877,
      "step": 1342
    },
    {
      "epoch": 12.0,
      "grad_norm": 11.986312866210938,
      "learning_rate": 2e-05,
      "loss": 0.24,
      "step": 1464
    },
    {
      "epoch": 12.0,
      "eval_accuracy": 0.87468671679198,
      "eval_f1": 0.8524146298159436,
      "eval_loss": 0.3097703158855438,
      "eval_precision": 0.8451250578971746,
      "eval_recall": 0.8613384251682124,
      "eval_runtime": 5.0931,
      "eval_samples_per_second": 78.341,
      "eval_steps_per_second": 9.817,
      "step": 1464
    },
    {
      "epoch": 13.0,
      "grad_norm": 1.3587671518325806,
      "learning_rate": 1.75e-05,
      "loss": 0.2346,
      "step": 1586
    },
    {
      "epoch": 13.0,
      "eval_accuracy": 0.8771929824561403,
      "eval_f1": 0.8514869535493182,
      "eval_loss": 0.2989429235458374,
      "eval_precision": 0.8523821128305106,
      "eval_recall": 0.8506092016730314,
      "eval_runtime": 5.063,
      "eval_samples_per_second": 78.808,
      "eval_steps_per_second": 9.876,
      "step": 1586
    },
    {
      "epoch": 14.0,
      "grad_norm": 11.92502212524414,
      "learning_rate": 1.5e-05,
      "loss": 0.2367,
      "step": 1708
    },
    {
      "epoch": 14.0,
      "eval_accuracy": 0.8696741854636592,
      "eval_f1": 0.8457993935430168,
      "eval_loss": 0.3001403510570526,
      "eval_precision": 0.8398540145985401,
      "eval_recall": 0.8527914166212038,
      "eval_runtime": 5.0967,
      "eval_samples_per_second": 78.286,
      "eval_steps_per_second": 9.81,
      "step": 1708
    },
    {
      "epoch": 15.0,
      "grad_norm": 0.7083171606063843,
      "learning_rate": 1.25e-05,
      "loss": 0.2248,
      "step": 1830
    },
    {
      "epoch": 15.0,
      "eval_accuracy": 0.8721804511278195,
      "eval_f1": 0.8498062516145699,
      "eval_loss": 0.30395904183387756,
      "eval_precision": 0.84200588099631,
      "eval_recall": 0.8595653755228223,
      "eval_runtime": 5.0548,
      "eval_samples_per_second": 78.935,
      "eval_steps_per_second": 9.892,
      "step": 1830
    },
    {
      "epoch": 16.0,
      "grad_norm": 7.328032493591309,
      "learning_rate": 1e-05,
      "loss": 0.2174,
      "step": 1952
    },
    {
      "epoch": 16.0,
      "eval_accuracy": 0.8696741854636592,
      "eval_f1": 0.8478885630498534,
      "eval_loss": 0.30161935091018677,
      "eval_precision": 0.8385980403326877,
      "eval_recall": 0.8602927805055465,
      "eval_runtime": 5.1195,
      "eval_samples_per_second": 77.938,
      "eval_steps_per_second": 9.767,
      "step": 1952
    },
    {
      "epoch": 17.0,
      "grad_norm": 10.082404136657715,
      "learning_rate": 7.5e-06,
      "loss": 0.2112,
      "step": 2074
    },
    {
      "epoch": 17.0,
      "eval_accuracy": 0.8646616541353384,
      "eval_f1": 0.8391129032258065,
      "eval_loss": 0.28866690397262573,
      "eval_precision": 0.8345705196182396,
      "eval_recall": 0.8442444080741953,
      "eval_runtime": 5.0648,
      "eval_samples_per_second": 78.778,
      "eval_steps_per_second": 9.872,
      "step": 2074
    },
    {
      "epoch": 18.0,
      "grad_norm": 5.582000255584717,
      "learning_rate": 5e-06,
      "loss": 0.2162,
      "step": 2196
    },
    {
      "epoch": 18.0,
      "eval_accuracy": 0.8721804511278195,
      "eval_f1": 0.850481641770208,
      "eval_loss": 0.29799067974090576,
      "eval_precision": 0.8416070917929654,
      "eval_recall": 0.8620658301509365,
      "eval_runtime": 5.0643,
      "eval_samples_per_second": 78.787,
      "eval_steps_per_second": 9.873,
      "step": 2196
    },
    {
      "epoch": 19.0,
      "grad_norm": 3.8067166805267334,
      "learning_rate": 2.5e-06,
      "loss": 0.2124,
      "step": 2318
    },
    {
      "epoch": 19.0,
      "eval_accuracy": 0.8696741854636592,
      "eval_f1": 0.844327731092437,
      "eval_loss": 0.289196640253067,
      "eval_precision": 0.8411320530352577,
      "eval_recall": 0.8477905073649754,
      "eval_runtime": 5.0534,
      "eval_samples_per_second": 78.957,
      "eval_steps_per_second": 9.894,
      "step": 2318
    },
    {
      "epoch": 20.0,
      "grad_norm": 11.847869873046875,
      "learning_rate": 0.0,
      "loss": 0.2118,
      "step": 2440
    },
    {
      "epoch": 20.0,
      "eval_accuracy": 0.8646616541353384,
      "eval_f1": 0.8391129032258065,
      "eval_loss": 0.2911982536315918,
      "eval_precision": 0.8345705196182396,
      "eval_recall": 0.8442444080741953,
      "eval_runtime": 5.0825,
      "eval_samples_per_second": 78.505,
      "eval_steps_per_second": 9.838,
      "step": 2440
    },
    {
      "epoch": 20.0,
      "step": 2440,
      "total_flos": 7635661149264000.0,
      "train_loss": 0.2866268705149166,
      "train_runtime": 1958.7419,
      "train_samples_per_second": 37.146,
      "train_steps_per_second": 1.246
    }
  ],
  "logging_steps": 500,
  "max_steps": 2440,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 20,
  "save_steps": 500,
  "total_flos": 7635661149264000.0,
  "train_batch_size": 30,
  "trial_name": null,
  "trial_params": null
}