---
license: other
base_model: nvidia/segformer-b0-finetuned-ade-512-512
tags:
- generated_from_keras_callback
model-index:
- name: Omar280X/passport_line_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/passport_line_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: 0.0672
- Validation Loss: 0.0692
- 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 |
|:----------:|:---------------:|:-----:|
| 0.2073     | 0.1095          | 0     |
| 0.1047     | 0.0942          | 1     |
| 0.0941     | 0.0874          | 2     |
| 0.0884     | 0.0843          | 3     |
| 0.0846     | 0.0809          | 4     |
| 0.0818     | 0.0787          | 5     |
| 0.0795     | 0.0764          | 6     |
| 0.0775     | 0.0751          | 7     |
| 0.0760     | 0.0744          | 8     |
| 0.0747     | 0.0732          | 9     |
| 0.0736     | 0.0724          | 10    |
| 0.0726     | 0.0719          | 11    |
| 0.0718     | 0.0711          | 12    |
| 0.0711     | 0.0712          | 13    |
| 0.0706     | 0.0706          | 14    |
| 0.0697     | 0.0700          | 15    |
| 0.0690     | 0.0697          | 16    |
| 0.0684     | 0.0696          | 17    |
| 0.0679     | 0.0692          | 18    |
| 0.0672     | 0.0692          | 19    |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.10.0
- Datasets 3.1.0
- Tokenizers 0.15.2