{
  "best_metric": 0.05549783632159233,
  "best_model_checkpoint": "./vit-base-beans/checkpoint-160",
  "epoch": 3.6363636363636362,
  "eval_steps": 40,
  "global_step": 160,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.23,
      "grad_norm": 0.8493722081184387,
      "learning_rate": 0.00018863636363636364,
      "loss": 0.444,
      "step": 10
    },
    {
      "epoch": 0.45,
      "grad_norm": 0.272053599357605,
      "learning_rate": 0.00017727272727272728,
      "loss": 0.151,
      "step": 20
    },
    {
      "epoch": 0.68,
      "grad_norm": 0.1838751882314682,
      "learning_rate": 0.00016590909090909094,
      "loss": 0.117,
      "step": 30
    },
    {
      "epoch": 0.91,
      "grad_norm": 4.570974349975586,
      "learning_rate": 0.00015454545454545454,
      "loss": 0.2073,
      "step": 40
    },
    {
      "epoch": 0.91,
      "eval_accuracy": 0.975,
      "eval_loss": 0.09584420919418335,
      "eval_runtime": 57.723,
      "eval_samples_per_second": 3.465,
      "eval_steps_per_second": 0.433,
      "step": 40
    },
    {
      "epoch": 1.14,
      "grad_norm": 0.50724858045578,
      "learning_rate": 0.0001431818181818182,
      "loss": 0.0636,
      "step": 50
    },
    {
      "epoch": 1.36,
      "grad_norm": 0.09627090394496918,
      "learning_rate": 0.0001318181818181818,
      "loss": 0.0651,
      "step": 60
    },
    {
      "epoch": 1.59,
      "grad_norm": 0.08125822246074677,
      "learning_rate": 0.00012045454545454546,
      "loss": 0.0298,
      "step": 70
    },
    {
      "epoch": 1.82,
      "grad_norm": 0.0715242475271225,
      "learning_rate": 0.00010909090909090909,
      "loss": 0.0342,
      "step": 80
    },
    {
      "epoch": 1.82,
      "eval_accuracy": 0.965,
      "eval_loss": 0.09033375978469849,
      "eval_runtime": 3.0566,
      "eval_samples_per_second": 65.433,
      "eval_steps_per_second": 8.179,
      "step": 80
    },
    {
      "epoch": 2.05,
      "grad_norm": 0.06209810450673103,
      "learning_rate": 9.772727272727274e-05,
      "loss": 0.0213,
      "step": 90
    },
    {
      "epoch": 2.27,
      "grad_norm": 0.056180860847234726,
      "learning_rate": 8.636363636363637e-05,
      "loss": 0.0081,
      "step": 100
    },
    {
      "epoch": 2.5,
      "grad_norm": 0.05113891884684563,
      "learning_rate": 7.500000000000001e-05,
      "loss": 0.0073,
      "step": 110
    },
    {
      "epoch": 2.73,
      "grad_norm": 0.05209748074412346,
      "learning_rate": 6.363636363636364e-05,
      "loss": 0.0139,
      "step": 120
    },
    {
      "epoch": 2.73,
      "eval_accuracy": 0.965,
      "eval_loss": 0.09859169274568558,
      "eval_runtime": 2.9938,
      "eval_samples_per_second": 66.805,
      "eval_steps_per_second": 8.351,
      "step": 120
    },
    {
      "epoch": 2.95,
      "grad_norm": 0.06674375385046005,
      "learning_rate": 5.2272727272727274e-05,
      "loss": 0.0068,
      "step": 130
    },
    {
      "epoch": 3.18,
      "grad_norm": 0.04334596171975136,
      "learning_rate": 4.0909090909090915e-05,
      "loss": 0.0068,
      "step": 140
    },
    {
      "epoch": 3.41,
      "grad_norm": 0.04224753752350807,
      "learning_rate": 2.954545454545455e-05,
      "loss": 0.0057,
      "step": 150
    },
    {
      "epoch": 3.64,
      "grad_norm": 0.048290498554706573,
      "learning_rate": 1.8181818181818182e-05,
      "loss": 0.0069,
      "step": 160
    },
    {
      "epoch": 3.64,
      "eval_accuracy": 0.97,
      "eval_loss": 0.05549783632159233,
      "eval_runtime": 3.0091,
      "eval_samples_per_second": 66.466,
      "eval_steps_per_second": 8.308,
      "step": 160
    }
  ],
  "logging_steps": 10,
  "max_steps": 176,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "save_steps": 40,
  "total_flos": 1.9721711356913664e+17,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}