README.md

---
library_name: transformers
base_model: asafaya/bert-base-arabic
tags:
- generated_from_keras_callback
model-index:
- name: saraaaaaaaaaaaaaa/first_pos_project
  results: []
---

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probably proofread and complete it, then remove this comment. -->

# saraaaaaaaaaaaaaa/first_pos_project

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: 0.1010
- Validation Loss: 0.1099
- Train Accuracy: 0.9697
- Train F1: 0.9565
- Train Precision: 0.9588
- Train Recall: 0.9542
- Epoch: 0

## 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': 909, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': np.float32(0.9), 'beta_2': np.float32(0.999), 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32

### Training results

| Train Loss | Validation Loss | Train Accuracy | Train F1 | Train Precision | Train Recall | Epoch |
|:----------:|:---------------:|:--------------:|:--------:|:---------------:|:------------:|:-----:|
| 0.1010     | 0.1099          | 0.9697         | 0.9565   | 0.9588          | 0.9542       | 0     |


### Framework versions

- Transformers 4.51.3
- TensorFlow 2.18.0
- Datasets 3.6.0
- Tokenizers 0.21.1