---
library_name: transformers
base_model: asafaya/bert-base-arabic
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: Sfaya-BBA
  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. -->

# Sfaya-BBA

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: 0.4582
- Accuracy: 0.8677

## 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: 0.0005
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 60

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 1.089         | 0.2041 | 100  | 0.5876          | 0.7882   |
| 0.5172        | 0.4082 | 200  | 0.4480          | 0.8525   |
| 0.5454        | 0.6122 | 300  | 0.4582          | 0.8677   |
| 0.5396        | 0.8163 | 400  | 0.5377          | 0.8307   |
| 0.932         | 1.0204 | 500  | 1.7065          | 0.4448   |
| 1.7739        | 1.2245 | 600  | 1.6662          | 0.4375   |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3