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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: vit-base-patch16-224-7class224 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# vit-base-patch16-224-7class224 |
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.0078 |
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- Train Accuracy: 0.9540 |
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- Train Top-3-accuracy: 0.9960 |
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- Validation Loss: 0.1065 |
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- Validation Accuracy: 0.9569 |
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- Validation Top-3-accuracy: 0.9963 |
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- Epoch: 6 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 630, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch | |
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|:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:| |
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| 0.6954 | 0.6170 | 0.9295 | 0.3090 | 0.7653 | 0.9734 | 0 | |
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| 0.1603 | 0.8272 | 0.9819 | 0.1722 | 0.8640 | 0.9865 | 1 | |
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| 0.0448 | 0.8890 | 0.9892 | 0.1220 | 0.9071 | 0.9912 | 2 | |
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| 0.0201 | 0.9192 | 0.9924 | 0.1171 | 0.9289 | 0.9934 | 3 | |
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| 0.0132 | 0.9359 | 0.9942 | 0.1132 | 0.9416 | 0.9948 | 4 | |
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| 0.0089 | 0.9466 | 0.9952 | 0.1095 | 0.9506 | 0.9957 | 5 | |
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| 0.0078 | 0.9540 | 0.9960 | 0.1065 | 0.9569 | 0.9963 | 6 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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