---
base_model: asafaya/bert-base-arabic
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Improved-Arabic-bert-base
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# Improved-Arabic-bert-base

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:
- Loss: 0.7595
- Accuracy: 0.86

## 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:
- learning_rate: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.5197        | 0.55  | 50   | 0.3977          | 0.8      |
| 0.3323        | 1.1   | 100  | 0.3298          | 0.86     |
| 0.2844        | 1.65  | 150  | 0.3401          | 0.84     |
| 0.2128        | 2.2   | 200  | 0.4569          | 0.8      |
| 0.1539        | 2.75  | 250  | 0.4315          | 0.83     |
| 0.1346        | 3.3   | 300  | 0.5178          | 0.81     |
| 0.0933        | 3.85  | 350  | 0.5167          | 0.84     |
| 0.0641        | 4.4   | 400  | 0.6903          | 0.82     |
| 0.0698        | 4.95  | 450  | 0.5628          | 0.85     |
| 0.028         | 5.49  | 500  | 0.6472          | 0.86     |
| 0.0449        | 6.04  | 550  | 0.6739          | 0.85     |
| 0.0133        | 6.59  | 600  | 0.6925          | 0.84     |
| 0.0177        | 7.14  | 650  | 0.6716          | 0.87     |
| 0.0209        | 7.69  | 700  | 0.6644          | 0.89     |
| 0.0226        | 8.24  | 750  | 0.7650          | 0.84     |
| 0.0137        | 8.79  | 800  | 0.8186          | 0.86     |
| 0.0164        | 9.34  | 850  | 0.7771          | 0.86     |
| 0.006         | 9.89  | 900  | 0.7805          | 0.85     |
| 0.0069        | 10.44 | 950  | 0.7595          | 0.86     |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1