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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: PK-B/roof_classifier |
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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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# PK-B/roof_classifier |
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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: 1.6844 |
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- Validation Loss: 2.3315 |
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- Train Accuracy: 0.425 |
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- Epoch: 14 |
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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': 1770, '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 | Validation Loss | Train Accuracy | Epoch | |
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|:----------:|:---------------:|:--------------:|:-----:| |
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| 2.9736 | 2.9756 | 0.05 | 0 | |
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| 2.9016 | 2.9430 | 0.1 | 1 | |
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| 2.8192 | 2.9084 | 0.1 | 2 | |
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| 2.7004 | 2.8564 | 0.175 | 3 | |
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| 2.6005 | 2.8109 | 0.175 | 4 | |
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| 2.4981 | 2.7452 | 0.225 | 5 | |
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| 2.3819 | 2.6988 | 0.2125 | 6 | |
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| 2.2867 | 2.6998 | 0.25 | 7 | |
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| 2.1804 | 2.6510 | 0.275 | 8 | |
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| 2.1115 | 2.5307 | 0.3375 | 9 | |
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| 2.0161 | 2.5523 | 0.3 | 10 | |
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| 1.9189 | 2.5310 | 0.2875 | 11 | |
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| 1.8863 | 2.4733 | 0.3375 | 12 | |
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| 1.7518 | 2.4233 | 0.3625 | 13 | |
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| 1.6844 | 2.3315 | 0.425 | 14 | |
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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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