---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 2levels_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. -->

# 2levels_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: 0.9976
- Macro F1: 0.8132
- Macro Precision: 0.8220
- Macro Recall: 0.8153
- Accuracy: 0.8140

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| 0.4301        | 1.0   | 821  | 0.3758          | 0.8300   | 0.8360          | 0.8315       | 0.8305   |
| 0.2994        | 2.0   | 1642 | 0.4510          | 0.8141   | 0.8311          | 0.8175       | 0.8157   |
| 0.2131        | 3.0   | 2463 | 0.5463          | 0.8077   | 0.8252          | 0.8113       | 0.8095   |
| 0.0958        | 4.0   | 3284 | 0.7365          | 0.8081   | 0.8229          | 0.8113       | 0.8096   |
| 0.055         | 5.0   | 4105 | 0.9349          | 0.8113   | 0.8245          | 0.8142       | 0.8126   |
| 0.0352        | 6.0   | 4926 | 0.9976          | 0.8132   | 0.8220          | 0.8153       | 0.8140   |


### Framework versions

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