---
license: other
tags:
- generated_from_keras_callback
base_model: nvidia/mit-b3
model-index:
- name: ChristianMDahl/segFormer-b3-horizontal-vertical
  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. -->

# ChristianMDahl/segFormer-b3-horizontal-vertical

This model is a fine-tuned version of [nvidia/mit-b3](https://huggingface.co/nvidia/mit-b3) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.1671
- Validation Loss: 0.2320
- 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 |
|:----------:|:---------------:|:-----:|
| 0.3203     | 0.2831          | 0     |
| 0.2822     | 0.2688          | 1     |
| 0.2662     | 0.2578          | 2     |
| 0.2526     | 0.2484          | 3     |
| 0.2396     | 0.2442          | 4     |
| 0.2288     | 0.2416          | 5     |
| 0.2195     | 0.2381          | 6     |
| 0.2121     | 0.2361          | 7     |
| 0.2058     | 0.2314          | 8     |
| 0.1999     | 0.2277          | 9     |
| 0.1952     | 0.2287          | 10    |
| 0.1912     | 0.2221          | 11    |
| 0.1869     | 0.2205          | 12    |
| 0.1835     | 0.2226          | 13    |
| 0.1804     | 0.2209          | 14    |
| 0.1775     | 0.2181          | 15    |
| 0.1745     | 0.2206          | 16    |
| 0.1721     | 0.2179          | 17    |
| 0.1693     | 0.2199          | 18    |
| 0.1671     | 0.2320          | 19    |


### Framework versions

- Transformers 4.29.2
- TensorFlow 2.10.1
- Tokenizers 0.13.3