vit-base-beans-demo-v5

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0984
  • Accuracy: 0.9762

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0002
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.1192 0.1764 100 0.1158 0.9692
0.0734 0.3527 200 0.1268 0.9702
0.0701 0.5291 300 0.1057 0.9673
0.1107 0.7055 400 0.1081 0.9722
0.0413 0.8818 500 0.0984 0.9762

Framework versions

  • Transformers 4.47.0
  • Pytorch 2.4.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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Evaluation results