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# ChristianMDahl/segFormer_ver1_horizontal

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: 0.1767
- Validation Loss: 0.1918
- Epoch: 19

## Model description

Model for **horizontal** 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 |
|:----------:|:---------------:|:-----:|
| 0.3302     | 0.2673          | 0     |
| 0.2515     | 0.2329          | 1     |
| 0.2335     | 0.2197          | 2     |
| 0.2226     | 0.2125          | 3     |
| 0.2153     | 0.2083          | 4     |
| 0.2105     | 0.2039          | 5     |
| 0.2061     | 0.2023          | 6     |
| 0.2025     | 0.2013          | 7     |
| 0.1995     | 0.2015          | 8     |
| 0.1960     | 0.1976          | 9     |
| 0.1938     | 0.1966          | 10    |
| 0.1909     | 0.1973          | 11    |
| 0.1882     | 0.1936          | 12    |
| 0.1865     | 0.1951          | 13    |
| 0.1845     | 0.1942          | 14    |
| 0.1826     | 0.1953          | 15    |
| 0.1810     | 0.1934          | 16    |
| 0.1794     | 0.1928          | 17    |
| 0.1782     | 0.1919          | 18    |
| 0.1767     | 0.1918          | 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_horizontal", "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\_horizontal
==========================================


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: 0.1767
* Validation Loss: 0.1918
* Epoch: 19


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


Model for horizontal 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