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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: nj1867/roof_classification_35 |
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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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# nj1867/roof_classification_35 |
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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. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.2855 |
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- Validation Loss: 0.5466 |
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- Train Accuracy: 0.8413 |
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- Epoch: 29 |
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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': 42240, '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': 0.0001} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 3.4052 | 3.2118 | 0.3472 | 0 | |
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| 2.9771 | 2.8091 | 0.5122 | 1 | |
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| 2.5834 | 2.4653 | 0.6379 | 2 | |
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| 2.2565 | 2.2264 | 0.6794 | 3 | |
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| 1.9808 | 2.0136 | 0.6869 | 4 | |
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| 1.7365 | 1.7525 | 0.7934 | 5 | |
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| 1.5394 | 1.6366 | 0.7668 | 6 | |
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| 1.3621 | 1.5575 | 0.7519 | 7 | |
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| 1.1855 | 1.4560 | 0.7412 | 8 | |
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| 1.0507 | 1.0795 | 0.8477 | 9 | |
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| 0.9409 | 1.0760 | 0.8413 | 10 | |
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| 0.8775 | 1.1174 | 0.7827 | 11 | |
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| 0.7837 | 1.2030 | 0.7487 | 12 | |
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| 0.6933 | 0.8608 | 0.8413 | 13 | |
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| 0.6005 | 0.8497 | 0.8264 | 14 | |
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| 0.5648 | 0.7881 | 0.8381 | 15 | |
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| 0.5482 | 0.8070 | 0.8083 | 16 | |
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| 0.4783 | 0.6537 | 0.8530 | 17 | |
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| 0.4632 | 0.7237 | 0.8232 | 18 | |
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| 0.4047 | 0.5131 | 0.8818 | 19 | |
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| 0.3885 | 0.4548 | 0.9042 | 20 | |
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| 0.3793 | 0.5766 | 0.8584 | 21 | |
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| 0.3670 | 0.6578 | 0.8147 | 22 | |
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| 0.3202 | 0.8783 | 0.7551 | 23 | |
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| 0.3094 | 0.4762 | 0.8733 | 24 | |
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| 0.3193 | 0.5481 | 0.8498 | 25 | |
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| 0.3190 | 0.4589 | 0.8711 | 26 | |
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| 0.2742 | 0.4616 | 0.8637 | 27 | |
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| 0.2583 | 0.4354 | 0.8807 | 28 | |
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| 0.2855 | 0.5466 | 0.8413 | 29 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- TensorFlow 2.14.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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