dousey/scene_segmentation
This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: nan
- Validation Loss: nan
- Validation Mean Iou: 0.0217
- Validation Mean Accuracy: 0.5
- Validation Overall Accuracy: 0.2545
- Validation Accuracy Background: 1.0
- Validation Accuracy Bleuet: 0.0
- Validation Accuracy Comptonie: nan
- Validation Accuracy Kalmia: nan
- Validation Iou Background: 0.0433
- Validation Iou Bleuet: 0.0
- Validation Iou Comptonie: nan
- Validation Iou Kalmia: nan
- Epoch: 1
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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 6e-05, 'decay_steps': 76500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Validation Mean Iou | Validation Mean Accuracy | Validation Overall Accuracy | Validation Accuracy Background | Validation Accuracy Bleuet | Validation Accuracy Comptonie | Validation Accuracy Kalmia | Validation Iou Background | Validation Iou Bleuet | Validation Iou Comptonie | Validation Iou Kalmia | Epoch |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nan | nan | 0.0217 | 0.5 | 0.2545 | 1.0 | 0.0 | nan | nan | 0.0433 | 0.0 | nan | nan | 0 |
| nan | nan | 0.0217 | 0.5 | 0.2545 | 1.0 | 0.0 | nan | nan | 0.0433 | 0.0 | nan | nan | 1 |
Framework versions
- Transformers 4.26.0
- TensorFlow 2.9.2
- Datasets 2.9.0
- Tokenizers 0.13.2