{
  "best_global_step": 3824,
  "best_metric": 0.7665036674816625,
  "best_model_checkpoint": "./phobert-multitask/checkpoint-3824",
  "epoch": 8.0,
  "eval_steps": 500,
  "global_step": 3824,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 6.267406940460205,
      "learning_rate": 9.981598232331348e-06,
      "loss": 2.043239577544783,
      "step": 478
    },
    {
      "epoch": 1.0,
      "eval_accuracy_coarse": 0.7426650366748166,
      "eval_accuracy_fine": 0.628361858190709,
      "eval_f1_coarse_macro": 0.6502651710386934,
      "eval_f1_fine_macro": 0.605379593432809,
      "eval_f1_fine_weighted": 0.5995232314641942,
      "eval_loss": 1.3452860116958618,
      "eval_runtime": 18.5356,
      "eval_samples_per_second": 88.262,
      "eval_steps_per_second": 5.557,
      "step": 478
    },
    {
      "epoch": 2.0,
      "grad_norm": 24.215755462646484,
      "learning_rate": 9.33354666334534e-06,
      "loss": 1.203696534224634,
      "step": 956
    },
    {
      "epoch": 2.0,
      "eval_accuracy_coarse": 0.8135696821515892,
      "eval_accuracy_fine": 0.7408312958435208,
      "eval_f1_coarse_macro": 0.802456160930916,
      "eval_f1_fine_macro": 0.751035231453591,
      "eval_f1_fine_weighted": 0.744689454665699,
      "eval_loss": 1.0884628295898438,
      "eval_runtime": 18.5112,
      "eval_samples_per_second": 88.379,
      "eval_steps_per_second": 5.564,
      "step": 956
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.8972363471984863,
      "learning_rate": 7.873177237961524e-06,
      "loss": 0.9721315774957505,
      "step": 1434
    },
    {
      "epoch": 3.0,
      "eval_accuracy_coarse": 0.8166259168704156,
      "eval_accuracy_fine": 0.7353300733496333,
      "eval_f1_coarse_macro": 0.7919295893473026,
      "eval_f1_fine_macro": 0.7394243754914572,
      "eval_f1_fine_weighted": 0.732021202826222,
      "eval_loss": 1.0886324644088745,
      "eval_runtime": 18.5493,
      "eval_samples_per_second": 88.197,
      "eval_steps_per_second": 5.553,
      "step": 1434
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.9366881847381592,
      "learning_rate": 5.8742343630904545e-06,
      "loss": 0.8340984009299817,
      "step": 1912
    },
    {
      "epoch": 4.0,
      "eval_accuracy_coarse": 0.8257946210268948,
      "eval_accuracy_fine": 0.7524449877750611,
      "eval_f1_coarse_macro": 0.8115790760213039,
      "eval_f1_fine_macro": 0.7585230889291659,
      "eval_f1_fine_weighted": 0.7513882818781048,
      "eval_loss": 1.079779028892517,
      "eval_runtime": 18.5463,
      "eval_samples_per_second": 88.212,
      "eval_steps_per_second": 5.554,
      "step": 1912
    },
    {
      "epoch": 5.0,
      "grad_norm": 19.028635025024414,
      "learning_rate": 3.7114173594782087e-06,
      "loss": 0.7354573525145462,
      "step": 2390
    },
    {
      "epoch": 5.0,
      "eval_accuracy_coarse": 0.8257946210268948,
      "eval_accuracy_fine": 0.7579462102689487,
      "eval_f1_coarse_macro": 0.8118641202186286,
      "eval_f1_fine_macro": 0.7671818296330676,
      "eval_f1_fine_weighted": 0.7596953624722936,
      "eval_loss": 1.1095541715621948,
      "eval_runtime": 18.5366,
      "eval_samples_per_second": 88.258,
      "eval_steps_per_second": 5.557,
      "step": 2390
    },
    {
      "epoch": 6.0,
      "grad_norm": 0.5821412205696106,
      "learning_rate": 1.7901435466186506e-06,
      "loss": 0.6709438308013533,
      "step": 2868
    },
    {
      "epoch": 6.0,
      "eval_accuracy_coarse": 0.8221271393643031,
      "eval_accuracy_fine": 0.7646699266503667,
      "eval_f1_coarse_macro": 0.8110735990814336,
      "eval_f1_fine_macro": 0.7724096547525416,
      "eval_f1_fine_weighted": 0.7649762626590634,
      "eval_loss": 1.1057395935058594,
      "eval_runtime": 18.5515,
      "eval_samples_per_second": 88.187,
      "eval_steps_per_second": 5.552,
      "step": 2868
    },
    {
      "epoch": 7.0,
      "grad_norm": 6.050240516662598,
      "learning_rate": 4.705532775431976e-07,
      "loss": 0.6313777269179851,
      "step": 3346
    },
    {
      "epoch": 7.0,
      "eval_accuracy_coarse": 0.8227383863080685,
      "eval_accuracy_fine": 0.7652811735941321,
      "eval_f1_coarse_macro": 0.8124455379854854,
      "eval_f1_fine_macro": 0.7740002317386471,
      "eval_f1_fine_weighted": 0.7668867937841447,
      "eval_loss": 1.120171308517456,
      "eval_runtime": 18.6422,
      "eval_samples_per_second": 87.758,
      "eval_steps_per_second": 5.525,
      "step": 3346
    },
    {
      "epoch": 8.0,
      "grad_norm": 3.5955278873443604,
      "learning_rate": 2.0838688302715625e-12,
      "loss": 0.6137639129510983,
      "step": 3824
    },
    {
      "epoch": 8.0,
      "eval_accuracy_coarse": 0.8227383863080685,
      "eval_accuracy_fine": 0.7665036674816625,
      "eval_f1_coarse_macro": 0.8111588897237633,
      "eval_f1_fine_macro": 0.7752350873790258,
      "eval_f1_fine_weighted": 0.7681455373546499,
      "eval_loss": 1.12169349193573,
      "eval_runtime": 18.581,
      "eval_samples_per_second": 88.047,
      "eval_steps_per_second": 5.543,
      "step": 3824
    }
  ],
  "logging_steps": 500,
  "max_steps": 3824,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 0
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}