---
library_name: transformers
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camel_arabic_sentiment
  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. -->

# camel_arabic_sentiment

This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-da-sentiment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2742
- Accuracy: 0.9470
- F1 Macro: 0.9470

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1 Macro |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|
| 0.0903        | 1.0   | 5660  | 0.2167          | 0.9381   | 0.9381   |
| 0.094         | 2.0   | 11320 | 0.2472          | 0.9457   | 0.9457   |
| 0.1402        | 3.0   | 16980 | 0.2742          | 0.9470   | 0.9470   |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1