trainer_state.json

{
  "best_metric": 0.8506666666666667,
  "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0987/checkpoints/checkpoint-666",
  "epoch": 2.0,
  "eval_steps": 500,
  "global_step": 666,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 28.204174041748047,
      "learning_rate": 0.0005,
      "loss": 1.3809,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8221333333333334,
      "eval_loss": 0.6054064631462097,
      "eval_runtime": 8.5148,
      "eval_samples_per_second": 440.412,
      "eval_steps_per_second": 6.929,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 42.06905746459961,
      "learning_rate": 0.0005,
      "loss": 0.4813,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8506666666666667,
      "eval_loss": 0.49464088678359985,
      "eval_runtime": 8.4239,
      "eval_samples_per_second": 445.163,
      "eval_steps_per_second": 7.004,
      "step": 666
    }
  ],
  "logging_steps": 500,
  "max_steps": 666,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.6352858479104e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}