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# ChristianMDahl/segFormer_ver1

This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1369
- Validation Loss: 0.1507
- Epoch: 19

## Model description

Model for **vertical** lines

## 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 |
|:----------:|:---------------:|:-----:|
| 0.2161     | 0.1837          | 0     |
| 0.1855     | 0.1748          | 1     |
| 0.1767     | 0.1696          | 2     |
| 0.1707     | 0.1651          | 3     |
| 0.1665     | 0.1636          | 4     |
| 0.1624     | 0.1613          | 5     |
| 0.1593     | 0.1624          | 6     |
| 0.1568     | 0.1586          | 7     |
| 0.1539     | 0.1549          | 8     |
| 0.1515     | 0.1572          | 9     |
| 0.1496     | 0.1543          | 10    |
| 0.1483     | 0.1587          | 11    |
| 0.1462     | 0.1573          | 12    |
| 0.1447     | 0.1551          | 13    |
| 0.1433     | 0.1535          | 14    |
| 0.1420     | 0.1535          | 15    |
| 0.1402     | 0.1498          | 16    |
| 0.1395     | 0.1533          | 17    |
| 0.1383     | 0.1538          | 18    |
| 0.1369     | 0.1507          | 19    |


### Framework versions

- Transformers 4.28.1
- TensorFlow 2.10.1
- Datasets 2.12.0
- Tokenizers 0.13.0.dev0

{"license": "other", "tags": ["generated_from_keras_callback"], "model-index": [{"name": "ChristianMDahl/segFormer_ver1", "results": []}]}
transformers tf segformer generated_from_keras_callback license:other endpoints_compatible region:us
TAGS
#transformers #tf #segformer #generated_from_keras_callback #license-other #endpoints_compatible #region-us 

ChristianMDahl/segFormer\_ver1
==============================


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: 0.1369
* Validation Loss: 0.1507
* Epoch: 19


Model description
-----------------


Model for vertical lines


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



### Framework versions


* Transformers 4.28.1
* TensorFlow 2.10.1
* Datasets 2.12.0
* Tokenizers 0.13.0.dev0



### 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 ### Framework versions


* Transformers 4.28.1
* TensorFlow 2.10.1
* Datasets 2.12.0
* Tokenizers 0.13.0.dev0
TAGS
#transformers #tf #segformer #generated_from_keras_callback #license-other #endpoints_compatible #region-us 
 ### 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 ### Framework versions


* Transformers 4.28.1
* TensorFlow 2.10.1
* Datasets 2.12.0
* Tokenizers 0.13.0.dev0