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--- |
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library_name: keras |
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tags: |
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- computer-vision |
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- classification |
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- 'multiple-instance-learning ' |
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--- |
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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': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False} |
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- training_precision: float32 |
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## Training Metrics |
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| Epochs | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | |
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|--- |--- |--- |--- |--- | |
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| 1| 0.315| 0.915| 0.066| 0.983| |
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| 2| 0.089| 0.982| 0.049| 0.99| |
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| 3| 0.078| 0.987| 0.084| 0.983| |
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| 4| 0.059| 0.983| 0.033| 0.993| |
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| 5| 0.042| 0.99| 0.053| 0.99| |
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| 6| 0.042| 0.996| 0.019| 0.993| |
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| 7| 0.013| 0.999| 0.067| 0.987| |
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| 8| 0.055| 0.988| 0.049| 0.99| |
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| 9| 0.005| 1.0| 0.039| 0.993| |
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| 10| 0.005| 1.0| 0.038| 0.99| |
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| 11| 0.039| 0.995| 0.214| 0.97| |
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| 12| 0.008| 1.0| 0.039| 0.99| |
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| 13| 0.002| 1.0| 0.047| 0.993| |
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| 14| 0.016| 0.999| 0.057| 0.99| |
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| 15| 0.046| 0.993| 0.026| 0.997| |
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| 16| 0.002| 1.0| 0.06| 0.99| |
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## Model Plot |
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<details> |
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<summary>View Model Plot</summary> |
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</details> |
