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aalonso-developer/vit-base-patch16-224-in21k-clothing-classifier

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

  • Train Loss: 0.1749
  • Train Accuracy: 0.9686
  • Train Top-3-accuracy: 0.9922
  • Validation Loss: 0.7294
  • Validation Accuracy: 0.7906
  • Validation Top-3-accuracy: 0.9437
  • Epoch: 4

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:

  • optimizer: {'inner_optimizer': {'class_name': 'AdamWeightDecay', 'config': {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 3665, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}}, 'dynamic': True, 'initial_scale': 32768.0, 'dynamic_growth_steps': 2000}
  • training_precision: mixed_float16

Training results

Train Loss Train Accuracy Train Top-3-accuracy Validation Loss Validation Accuracy Validation Top-3-accuracy Epoch
1.3672 0.6720 0.8895 0.8886 0.7613 0.9415 0
0.6745 0.8197 0.9615 0.7492 0.7790 0.9427 1
0.4135 0.8942 0.9814 0.7119 0.7848 0.9475 2
0.2566 0.9449 0.9892 0.7212 0.7860 0.9451 3
0.1749 0.9686 0.9922 0.7294 0.7906 0.9437 4

Framework versions

  • Transformers 4.29.1
  • TensorFlow 2.11.0
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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