---
library_name: transformers
base_model: asafaya/bert-base-arabic
tags:
- generated_from_keras_callback
model-index:
- name: AlaaHussien/POS_Arabic
  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. -->

# AlaaHussien/POS_Arabic

This model is a fine-tuned version of [asafaya/bert-base-arabic](https://huggingface.co/asafaya/bert-base-arabic) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0886
- Validation Loss: 0.1103
- Train Precision: 0.9604
- Train Recall: 0.9555
- Train F1: 0.9579
- Train Accuracy: 0.9703
- Epoch: 2

## 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': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 795, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.1303     | 0.1180          | 0.9571          | 0.9508       | 0.9539   | 0.9677         | 0     |
| 0.0995     | 0.1103          | 0.9597          | 0.9555       | 0.9576   | 0.9701         | 1     |
| 0.0886     | 0.1103          | 0.9604          | 0.9555       | 0.9579   | 0.9703         | 2     |


### Framework versions

- Transformers 4.51.1
- TensorFlow 2.18.0
- Datasets 3.5.0
- Tokenizers 0.21.0