---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 2levels_8753
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 2levels_8753

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: 0.8957
- Macro F1: 0.8037
- Macro Precision: 0.8110
- Macro Recall: 0.8056
- Accuracy: 0.8044

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| No log        | 1.0   | 137  | 0.4537          | 0.7923   | 0.8075          | 0.7957       | 0.7940   |
| No log        | 2.0   | 274  | 0.4196          | 0.8096   | 0.8122          | 0.8104       | 0.8097   |
| No log        | 3.0   | 411  | 0.5097          | 0.8020   | 0.8117          | 0.8043       | 0.8029   |
| 0.2839        | 4.0   | 548  | 0.6446          | 0.8023   | 0.8101          | 0.8043       | 0.8031   |
| 0.2839        | 5.0   | 685  | 0.8924          | 0.7857   | 0.8089          | 0.7906       | 0.7885   |
| 0.2839        | 6.0   | 822  | 0.8957          | 0.8037   | 0.8110          | 0.8056       | 0.8044   |


### Framework versions

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