---
base_model: aubmindlab/bert-base-arabertv2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: finetunning
  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. -->

# finetunning

This model is a fine-tuned version of [aubmindlab/bert-base-arabertv2](https://huggingface.co/aubmindlab/bert-base-arabertv2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3308
- Accuracy: 0.9494

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2049        | 1.0   | 1250  | 0.1725          | 0.9478   |
| 0.1392        | 2.0   | 2500  | 0.1712          | 0.9456   |
| 0.0982        | 3.0   | 3750  | 0.1812          | 0.9476   |
| 0.0769        | 4.0   | 5000  | 0.2262          | 0.9472   |
| 0.0454        | 5.0   | 6250  | 0.2438          | 0.9504   |
| 0.0364        | 6.0   | 7500  | 0.2611          | 0.9496   |
| 0.0235        | 7.0   | 8750  | 0.3145          | 0.9476   |
| 0.015         | 8.0   | 10000 | 0.3103          | 0.9494   |
| 0.0131        | 9.0   | 11250 | 0.3279          | 0.9492   |
| 0.0082        | 10.0  | 12500 | 0.3308          | 0.9494   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2