trainer_state.json

{
  "best_metric": 0.8176,
  "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0916/checkpoints/checkpoint-999",
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 999,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "grad_norm": 1.524375557899475,
      "learning_rate": 0.0005,
      "loss": 0.8778,
      "step": 333
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.7946666666666666,
      "eval_loss": 0.7088618278503418,
      "eval_runtime": 5.3469,
      "eval_samples_per_second": 701.34,
      "eval_steps_per_second": 11.034,
      "step": 333
    },
    {
      "epoch": 2.0,
      "grad_norm": 7.366309642791748,
      "learning_rate": 0.0005,
      "loss": 0.4889,
      "step": 666
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.8056,
      "eval_loss": 0.67525714635849,
      "eval_runtime": 5.3459,
      "eval_samples_per_second": 701.467,
      "eval_steps_per_second": 11.036,
      "step": 666
    },
    {
      "epoch": 3.0,
      "grad_norm": 1.0733085870742798,
      "learning_rate": 0.0005,
      "loss": 0.3773,
      "step": 999
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8176,
      "eval_loss": 0.6491830348968506,
      "eval_runtime": 5.3976,
      "eval_samples_per_second": 694.753,
      "eval_steps_per_second": 10.931,
      "step": 999
    }
  ],
  "logging_steps": 500,
  "max_steps": 1332,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 500,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 4.94223961867776e+18,
  "train_batch_size": 64,
  "trial_name": null,
  "trial_params": null
}