---
license: other
base_model: nvidia/segformer-b0-finetuned-ade-512-512
tags:
- generated_from_keras_callback
model-index:
- name: Omar280X/personal_license_segmentation
  results: []
---

<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->

# Omar280X/personal_license_segmentation

This model is a fine-tuned version of [nvidia/segformer-b0-finetuned-ade-512-512](https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0104
- Validation Loss: 0.0105
- Epoch: 49

## 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 |
|:----------:|:---------------:|:-----:|
| 0.0804     | 0.0281          | 0     |
| 0.0291     | 0.0244          | 1     |
| 0.0272     | 0.0234          | 2     |
| 0.0240     | 0.0222          | 3     |
| 0.0224     | 0.0212          | 4     |
| 0.0214     | 0.0201          | 5     |
| 0.0224     | 0.0199          | 6     |
| 0.0200     | 0.0189          | 7     |
| 0.0210     | 0.0187          | 8     |
| 0.0196     | 0.0184          | 9     |
| 0.0185     | 0.0174          | 10    |
| 0.0180     | 0.0169          | 11    |
| 0.0178     | 0.0165          | 12    |
| 0.0167     | 0.0160          | 13    |
| 0.0162     | 0.0155          | 14    |
| 0.0158     | 0.0147          | 15    |
| 0.0151     | 0.0143          | 16    |
| 0.0147     | 0.0138          | 17    |
| 0.0146     | 0.0137          | 18    |
| 0.0144     | 0.0134          | 19    |
| 0.0143     | 0.0131          | 20    |
| 0.0134     | 0.0130          | 21    |
| 0.0132     | 0.0132          | 22    |
| 0.0130     | 0.0132          | 23    |
| 0.0130     | 0.0124          | 24    |
| 0.0127     | 0.0122          | 25    |
| 0.0127     | 0.0122          | 26    |
| 0.0124     | 0.0119          | 27    |
| 0.0122     | 0.0123          | 28    |
| 0.0123     | 0.0117          | 29    |
| 0.0118     | 0.0115          | 30    |
| 0.0117     | 0.0117          | 31    |
| 0.0116     | 0.0115          | 32    |
| 0.0115     | 0.0117          | 33    |
| 0.0114     | 0.0113          | 34    |
| 0.0113     | 0.0111          | 35    |
| 0.0110     | 0.0109          | 36    |
| 0.0125     | 0.0109          | 37    |
| 0.0114     | 0.0108          | 38    |
| 0.0107     | 0.0108          | 39    |
| 0.0107     | 0.0108          | 40    |
| 0.0122     | 0.0112          | 41    |
| 0.0109     | 0.0108          | 42    |
| 0.0106     | 0.0106          | 43    |
| 0.0105     | 0.0107          | 44    |
| 0.0106     | 0.0106          | 45    |
| 0.0105     | 0.0108          | 46    |
| 0.0106     | 0.0110          | 47    |
| 0.0103     | 0.0108          | 48    |
| 0.0104     | 0.0105          | 49    |


### Framework versions

- Transformers 4.37.0
- TensorFlow 2.5.0
- Tokenizers 0.15.2