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Image Classification
Transformers
PyTorch
vit
Inference Endpoints
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2
tester
File size: 1,056 Bytes 
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{
  "best_metric": 0.14917747676372528,
  "best_model_checkpoint": "./vit-base-beans/checkpoint-40",
  "epoch": 4.0,
  "global_step": 40,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 0.00015000000000000001,
      "loss": 0.4245,
      "step": 10
    },
    {
      "epoch": 2.0,
      "learning_rate": 0.0001,
      "loss": 0.1213,
      "step": 20
    },
    {
      "epoch": 3.0,
      "learning_rate": 5e-05,
      "loss": 0.0335,
      "step": 30
    },
    {
      "epoch": 4.0,
      "learning_rate": 0.0,
      "loss": 0.0229,
      "step": 40
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9444444444444444,
      "eval_loss": 0.14917747676372528,
      "eval_runtime": 8.6332,
      "eval_samples_per_second": 2.085,
      "eval_steps_per_second": 0.347,
      "step": 40
    }
  ],
  "max_steps": 40,
  "num_train_epochs": 4,
  "total_flos": 4.680516172721357e+16,
  "trial_name": null,
  "trial_params": null
}