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---
library_name: keras
tags:
- image-segmentation
---
## 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| 1.206| 0.636| 2.55| 0.555|
| 2| 0.957| 0.696| 2.671| 0.598|
| 3| 0.847| 0.729| 1.431| 0.612|
| 4| 0.774| 0.751| 1.008| 0.689|
| 5| 0.712| 0.771| 1.016| 0.705|
## Model Plot
<details>
<summary>View Model Plot</summary>
</details> |