---
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: arabert-large-algerian
  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. -->

# arabert-large-algerian

This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-ca-sentiment) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9673
- Accuracy: {'accuracy': 0.56}
- F1score: {'f1': 0.5573651188151455}

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40
- num_epochs: 2

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0.dev20230621+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2