{
  "best_global_step": 899,
  "best_metric": 0.009147428907454014,
  "best_model_checkpoint": "projects/PetBERT_annonymisation/data/augment/checkpoint-899",
  "epoch": 4.0,
  "eval_steps": 500,
  "global_step": 3596,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0,
      "eval_f1": 0.012204053693834897,
      "eval_loss": 2.3885538578033447,
      "eval_precision": 0.08893940326175621,
      "eval_recall": 0.08310981045257043,
      "eval_runtime": 31.2912,
      "eval_samples_per_second": 139.592,
      "eval_steps_per_second": 4.378,
      "step": 0
    },
    {
      "epoch": 0.5561735261401557,
      "grad_norm": 0.35977280139923096,
      "learning_rate": 4.997224694104561e-05,
      "loss": 0.0524,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_f1": 0.9528093236906681,
      "eval_loss": 0.009147428907454014,
      "eval_precision": 0.9461252678130232,
      "eval_recall": 0.9597947571160605,
      "eval_runtime": 32.73,
      "eval_samples_per_second": 133.456,
      "eval_steps_per_second": 4.186,
      "step": 899
    },
    {
      "epoch": 1.1123470522803114,
      "grad_norm": 0.11930424720048904,
      "learning_rate": 4.99444382647386e-05,
      "loss": 0.0043,
      "step": 1000
    },
    {
      "epoch": 1.668520578420467,
      "grad_norm": 0.12083794176578522,
      "learning_rate": 4.991662958843159e-05,
      "loss": 0.0026,
      "step": 1500
    },
    {
      "epoch": 2.0,
      "eval_f1": 0.9591844285588763,
      "eval_loss": 0.009312924928963184,
      "eval_precision": 0.9530780078627331,
      "eval_recall": 0.9657284498000394,
      "eval_runtime": 32.7085,
      "eval_samples_per_second": 133.543,
      "eval_steps_per_second": 4.189,
      "step": 1798
    },
    {
      "epoch": 2.2246941045606228,
      "grad_norm": 0.012293193489313126,
      "learning_rate": 4.988882091212459e-05,
      "loss": 0.0015,
      "step": 2000
    },
    {
      "epoch": 2.7808676307007785,
      "grad_norm": 0.005511277820914984,
      "learning_rate": 4.986101223581758e-05,
      "loss": 0.0014,
      "step": 2500
    },
    {
      "epoch": 3.0,
      "eval_f1": 0.9473572974918704,
      "eval_loss": 0.013561395928263664,
      "eval_precision": 0.9406871215514148,
      "eval_recall": 0.9544992839810097,
      "eval_runtime": 32.7338,
      "eval_samples_per_second": 133.44,
      "eval_steps_per_second": 4.185,
      "step": 2697
    },
    {
      "epoch": 3.337041156840934,
      "grad_norm": 0.03908713161945343,
      "learning_rate": 4.983320355951057e-05,
      "loss": 0.0014,
      "step": 3000
    },
    {
      "epoch": 3.89321468298109,
      "grad_norm": 0.009426549077033997,
      "learning_rate": 4.980539488320356e-05,
      "loss": 0.0016,
      "step": 3500
    },
    {
      "epoch": 4.0,
      "eval_f1": 0.953040195996418,
      "eval_loss": 0.010148942470550537,
      "eval_precision": 0.9406877737118386,
      "eval_recall": 0.9674011453268957,
      "eval_runtime": 32.788,
      "eval_samples_per_second": 133.219,
      "eval_steps_per_second": 4.178,
      "step": 3596
    }
  ],
  "logging_steps": 500,
  "max_steps": 899000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1000,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 3
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 3.006829642867507e+16,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}