---
license: other
base_model: nvidia/mit-b0
tags:
- generated_from_keras_callback
model-index:
- name: Omar280X/printed_ID_Segmentation_1
  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/printed_ID_Segmentation_1

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: 0.5221
- Validation Loss: 0.7828
- Epoch: 5

## 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': 3.639184e-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 |
|:----------:|:---------------:|:-----:|
| 0.3885     | 1.1158          | 0     |
| 0.4938     | 0.6734          | 1     |
| 0.4921     | 0.6814          | 2     |
| 0.5149     | 0.7493          | 3     |
| 0.4889     | 0.7936          | 4     |
| 0.5221     | 0.7828          | 5     |


### Framework versions

- Transformers 4.37.2
- TensorFlow 2.10.0
- Datasets 3.6.0
- Tokenizers 0.15.2