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

# test

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: 0.4328
- Accuracy: 0.8571

## 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: 9

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 11   | 0.6631          | 0.6190   |
| No log        | 2.0   | 22   | 0.4584          | 0.9048   |
| No log        | 3.0   | 33   | 0.3879          | 0.8571   |
| No log        | 4.0   | 44   | 0.3780          | 0.8571   |
| No log        | 5.0   | 55   | 0.4273          | 0.8571   |
| No log        | 6.0   | 66   | 0.3786          | 0.8571   |
| No log        | 7.0   | 77   | 0.3273          | 0.8571   |
| No log        | 8.0   | 88   | 0.4280          | 0.8571   |
| No log        | 9.0   | 99   | 0.4328          | 0.8571   |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1