---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_13_levels
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert_13_levels

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: 1.3439
- Macro F1: 0.5121
- Macro Precision: 0.4957
- Macro Recall: 0.5371
- Accuracy: 0.6763

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| 1.1416        | 1.0   | 821  | 0.8787          | 0.5043   | 0.4933          | 0.5272       | 0.6984   |
| 0.7613        | 2.0   | 1642 | 0.8876          | 0.5004   | 0.5194          | 0.5160       | 0.6938   |
| 0.6042        | 3.0   | 2463 | 0.9361          | 0.5274   | 0.5010          | 0.5652       | 0.6936   |
| 0.3808        | 4.0   | 3284 | 1.0780          | 0.5251   | 0.5128          | 0.5523       | 0.6847   |
| 0.2474        | 5.0   | 4105 | 1.2235          | 0.5181   | 0.4991          | 0.5468       | 0.6858   |
| 0.1856        | 6.0   | 4926 | 1.3439          | 0.5121   | 0.4957          | 0.5371       | 0.6763   |


### Framework versions

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