---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 19levels_52521
  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. -->

# 19levels_52521

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: 1.9054
- Macro F1: 0.3798
- Macro Precision: 0.3840
- Macro Recall: 0.3883
- Accuracy: 0.5238

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Macro Precision | Macro Recall | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| 1.7168        | 1.0   | 821  | 1.3900          | 0.3710   | 0.3964          | 0.3909       | 0.5166   |
| 1.2221        | 2.0   | 1642 | 1.3667          | 0.3603   | 0.3970          | 0.3625       | 0.5335   |
| 1.02          | 3.0   | 2463 | 1.4292          | 0.3891   | 0.3945          | 0.4063       | 0.5370   |
| 0.7054        | 4.0   | 3284 | 1.5853          | 0.3706   | 0.3779          | 0.3837       | 0.5271   |
| 0.5116        | 5.0   | 4105 | 1.7836          | 0.3813   | 0.3804          | 0.3939       | 0.5240   |
| 0.4122        | 6.0   | 4926 | 1.9054          | 0.3798   | 0.3840          | 0.3883       | 0.5238   |


### Framework versions

- Transformers 4.43.4
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.19.1