metadata
license: other
base_model: nvidia/segformer-b0-finetuned-ade-512-512
tags:
- generated_from_keras_callback
model-index:
- name: Omar280X/passport_segmentation_v9
results: []
Omar280X/passport_segmentation_v9
This model is a fine-tuned version of nvidia/segformer-b0-finetuned-ade-512-512 on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.0239
- Validation Loss: 0.0941
- Epoch: 19
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': 6e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.1594 | 0.1322 | 0 |
| 0.0783 | 0.1326 | 1 |
| 0.0620 | 0.1099 | 2 |
| 0.0531 | 0.1093 | 3 |
| 0.0484 | 0.0908 | 4 |
| 0.0440 | 0.1785 | 5 |
| 0.0403 | 0.1345 | 6 |
| 0.0379 | 0.0885 | 7 |
| 0.0357 | 0.1485 | 8 |
| 0.0334 | 0.1024 | 9 |
| 0.0308 | 0.1009 | 10 |
| 0.0311 | 0.1368 | 11 |
| 0.0321 | 0.1223 | 12 |
| 0.0290 | 0.0974 | 13 |
| 0.0272 | 0.1802 | 14 |
| 0.0276 | 0.1109 | 15 |
| 0.0260 | 0.1074 | 16 |
| 0.0279 | 0.1092 | 17 |
| 0.0252 | 0.0994 | 18 |
| 0.0239 | 0.0941 | 19 |
Framework versions
- Transformers 4.37.0
- TensorFlow 2.10.0
- Datasets 3.2.0
- Tokenizers 0.15.2