---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: final_content_bert
  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. -->

# final_content_bert

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: 1.6152
- Macro F1: 0.5213
- Macro Precision: 0.5425
- Macro Recall: 0.5095
- Accuracy: 0.5338

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| 1.3421        | 1.0   | 857  | 1.2154          | 0.5000   | 0.5659          | 0.4801       | 0.5164   |
| 1.0055        | 2.0   | 1714 | 1.1822          | 0.5240   | 0.5613          | 0.5087       | 0.5410   |
| 0.8008        | 3.0   | 2571 | 1.2802          | 0.5120   | 0.5371          | 0.5012       | 0.5272   |
| 0.6593        | 4.0   | 3428 | 1.3946          | 0.5227   | 0.5451          | 0.5131       | 0.5391   |
| 0.5051        | 5.0   | 4285 | 1.5192          | 0.5192   | 0.5391          | 0.5101       | 0.5335   |
| 0.426         | 6.0   | 5142 | 1.6152          | 0.5213   | 0.5425          | 0.5095       | 0.5338   |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu117
- Datasets 3.0.2
- Tokenizers 0.13.3