readme: ---
  license: apache-2.0
  tags:
  - generated_from_keras_callback
  model-index:
  - name: Imene/vit-base-patch16-224-in21k-wwwwii
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information Keras had access to. You should
  probably proofread and complete it, then remove this comment. -->
  
  # Imene/vit-base-patch16-224-in21k-wwwwii
  
  This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
  It achieves the following results on the evaluation set:
  - Train Loss: 0.8024
  - Train Accuracy: 0.9939
  - Train Top-3-accuracy: 0.9997
  - Validation Loss: 1.6739
  - Validation Accuracy: 0.6267
  - Validation Top-3-accuracy: 0.8349
  - Epoch: 9
  
  ## 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': 4e-05, 'decay_steps': 1620, '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': 0.001}}, '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 |
  |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
  | 3.6793     | 0.125          | 0.2805               | 3.4078          | 0.2151              | 0.4756                    | 0     |
  | 3.1763     | 0.3448         | 0.6265               | 3.0167          | 0.4209              | 0.6640                    | 1     |
  | 2.7546     | 0.5419         | 0.7852               | 2.6634          | 0.5326              | 0.7651                    | 2     |
  | 2.3537     | 0.6855         | 0.8843               | 2.3971          | 0.5547              | 0.7860                    | 3     |
  | 1.9989     | 0.7814         | 0.9279               | 2.2236          | 0.5837              | 0.7907                    | 4     |
  | 1.6670     | 0.875          | 0.9698               | 2.0757          | 0.5977              | 0.7907                    | 5     |
  | 1.3815     | 0.9352         | 0.9890               | 1.8921          | 0.6198              | 0.8174                    | 6     |
  | 1.1407     | 0.9651         | 0.9956               | 1.7976          | 0.6244              | 0.8174                    | 7     |
  | 0.9451     | 0.9866         | 0.9983               | 1.7227          | 0.6349              | 0.8267                    | 8     |
  | 0.8024     | 0.9939         | 0.9997               | 1.6739          | 0.6267              | 0.8349                    | 9     |
  
  
  ### Framework versions
  
  - Transformers 4.21.2
  - TensorFlow 2.8.2
  - Datasets 2.4.0
  - Tokenizers 0.12.1
  