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