---
library_name: transformers
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [aubmindlab/bert-base-arabertv02](https://huggingface.co/aubmindlab/bert-base-arabertv02) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4999
- Accuracy: 0.9091

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 7    | 0.6610          | 0.6364   |
| No log        | 2.0   | 14   | 0.6433          | 0.6364   |
| No log        | 3.0   | 21   | 0.6237          | 0.6364   |
| No log        | 4.0   | 28   | 0.5876          | 0.6364   |
| No log        | 5.0   | 35   | 0.5222          | 0.7273   |
| No log        | 6.0   | 42   | 0.5004          | 0.7273   |
| No log        | 7.0   | 49   | 0.4665          | 0.7273   |
| No log        | 8.0   | 56   | 0.4207          | 0.8182   |
| No log        | 9.0   | 63   | 0.4235          | 0.9091   |
| No log        | 10.0  | 70   | 0.3507          | 0.9091   |
| No log        | 11.0  | 77   | 0.3359          | 0.8182   |
| No log        | 12.0  | 84   | 0.3253          | 0.9091   |
| No log        | 13.0  | 91   | 0.3268          | 0.9091   |
| No log        | 14.0  | 98   | 0.3321          | 0.9091   |
| 0.3884        | 15.0  | 105  | 0.3332          | 0.9091   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 2.19.0
- Tokenizers 0.19.1