---
base_model: aubmindlab/bert-base-arabertv02
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 2levels_6565
  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_6565

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: 0.8327
- Macro F1: 0.7976
- Macro Precision: 0.8038
- Macro Recall: 0.7993
- Accuracy: 0.7982

## 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   | 103  | 0.4498          | 0.8015   | 0.8015          | 0.8016       | 0.8015   |
| No log        | 2.0   | 206  | 0.4532          | 0.8035   | 0.8083          | 0.8049       | 0.8039   |
| No log        | 3.0   | 309  | 0.5014          | 0.8066   | 0.8084          | 0.8073       | 0.8067   |
| No log        | 4.0   | 412  | 0.6651          | 0.7985   | 0.8048          | 0.8002       | 0.7991   |
| 0.245         | 5.0   | 515  | 0.7793          | 0.8004   | 0.8050          | 0.8017       | 0.8008   |
| 0.245         | 6.0   | 618  | 0.8327          | 0.7976   | 0.8038          | 0.7993       | 0.7982   |


### Framework versions

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