--- library_name: transformers license: apache-2.0 base_model: google/vit-base-patch16-224-in21k tags: - generated_from_keras_callback model-index: - name: maxsop/food_classifier results: [] --- # maxsop/food_classifier 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: 0.3005 - Validation Loss: 0.2724 - Train Accuracy: 0.928 - 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: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 20000, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Train Accuracy | Epoch | |:----------:|:---------------:|:--------------:|:-----:| | 1.1637 | 0.7682 | 0.897 | 0 | | 0.6543 | 0.5160 | 0.907 | 1 | | 0.4626 | 0.4016 | 0.907 | 2 | | 0.3701 | 0.3274 | 0.918 | 3 | | 0.3005 | 0.2724 | 0.928 | 4 | ### Framework versions - Transformers 4.47.1 - TensorFlow 2.18.0 - Datasets 3.2.0 - Tokenizers 0.21.0