---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_keras_callback
model-index:
- name: AlaaHussien/Arabic_pos
  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/Arabic_pos

This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0778
- Validation Loss: 0.1042
- Train Precision: 0.9603
- Train Recall: 0.9565
- Train F1: 0.9584
- Train Accuracy: 0.9708
- Epoch: 4

## 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': 1515, '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 |
|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
| 0.3938     | 0.1375          | 0.9506          | 0.9430       | 0.9468   | 0.9625         | 0     |
| 0.1234     | 0.1165          | 0.9559          | 0.9507       | 0.9533   | 0.9670         | 1     |
| 0.1002     | 0.1112          | 0.9591          | 0.9531       | 0.9561   | 0.9690         | 2     |
| 0.0865     | 0.1051          | 0.9598          | 0.9555       | 0.9576   | 0.9702         | 3     |
| 0.0778     | 0.1042          | 0.9603          | 0.9565       | 0.9584   | 0.9708         | 4     |


### Framework versions

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