trainer_state.json

{
  "best_metric": 0.7025748491287231,
  "best_model_checkpoint": "bert_tiny_lda_100_v1_wnli/checkpoint-6",
  "epoch": 7.0,
  "eval_steps": 500,
  "global_step": 21,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.800396203994751,
      "learning_rate": 4.9e-05,
      "loss": 0.7082,
      "step": 3
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.352112676056338,
      "eval_loss": 0.7107725739479065,
      "eval_runtime": 0.0282,
      "eval_samples_per_second": 2516.037,
      "eval_steps_per_second": 35.437,
      "step": 3
    },
    {
      "epoch": 2.0,
      "grad_norm": 1.2788060903549194,
      "learning_rate": 4.8e-05,
      "loss": 0.7024,
      "step": 6
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.5633802816901409,
      "eval_loss": 0.7025748491287231,
      "eval_runtime": 0.0293,
      "eval_samples_per_second": 2424.71,
      "eval_steps_per_second": 34.151,
      "step": 6
    },
    {
      "epoch": 3.0,
      "grad_norm": 0.7909756302833557,
      "learning_rate": 4.7e-05,
      "loss": 0.7001,
      "step": 9
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.352112676056338,
      "eval_loss": 0.723371684551239,
      "eval_runtime": 0.0314,
      "eval_samples_per_second": 2260.411,
      "eval_steps_per_second": 31.837,
      "step": 9
    },
    {
      "epoch": 4.0,
      "grad_norm": 0.8608013987541199,
      "learning_rate": 4.600000000000001e-05,
      "loss": 0.6938,
      "step": 12
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.5070422535211268,
      "eval_loss": 0.7065912485122681,
      "eval_runtime": 0.0296,
      "eval_samples_per_second": 2398.618,
      "eval_steps_per_second": 33.783,
      "step": 12
    },
    {
      "epoch": 5.0,
      "grad_norm": 1.210613489151001,
      "learning_rate": 4.5e-05,
      "loss": 0.6922,
      "step": 15
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.4225352112676056,
      "eval_loss": 0.7106072902679443,
      "eval_runtime": 0.0321,
      "eval_samples_per_second": 2208.56,
      "eval_steps_per_second": 31.106,
      "step": 15
    },
    {
      "epoch": 6.0,
      "grad_norm": 1.0442590713500977,
      "learning_rate": 4.4000000000000006e-05,
      "loss": 0.6958,
      "step": 18
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.36619718309859156,
      "eval_loss": 0.7257372736930847,
      "eval_runtime": 0.0321,
      "eval_samples_per_second": 2214.884,
      "eval_steps_per_second": 31.196,
      "step": 18
    },
    {
      "epoch": 7.0,
      "grad_norm": 0.6264722943305969,
      "learning_rate": 4.3e-05,
      "loss": 0.6891,
      "step": 21
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.29577464788732394,
      "eval_loss": 0.721610963344574,
      "eval_runtime": 0.0298,
      "eval_samples_per_second": 2382.593,
      "eval_steps_per_second": 33.558,
      "step": 21
    },
    {
      "epoch": 7.0,
      "step": 21,
      "total_flos": 116563804707840.0,
      "train_loss": 0.6973756040845599,
      "train_runtime": 8.699,
      "train_samples_per_second": 3649.84,
      "train_steps_per_second": 17.243
    }
  ],
  "logging_steps": 1,
  "max_steps": 150,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 50,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 5,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 5
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 116563804707840.0,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}