---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: camelbert
  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. -->

# camelbert

This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-msa](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9908
- Macro F1: 0.3402
- Macro Precision: 0.3848
- Macro Recall: 0.3256
- Accuracy: 0.4572

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------------:|:------------:|:--------:|
| 1.7936        | 1.0   | 857  | 1.5955          | 0.3085   | 0.4058          | 0.2880       | 0.4518   |
| 1.3325        | 2.0   | 1714 | 1.5419          | 0.3263   | 0.4054          | 0.3128       | 0.4681   |
| 1.0848        | 3.0   | 2571 | 1.6263          | 0.3363   | 0.4061          | 0.3209       | 0.4632   |
| 0.8856        | 4.0   | 3428 | 1.7669          | 0.3410   | 0.4142          | 0.3250       | 0.4534   |
| 0.6869        | 5.0   | 4285 | 1.8975          | 0.3347   | 0.3785          | 0.3192       | 0.4555   |
| 0.5905        | 6.0   | 5142 | 1.9908          | 0.3402   | 0.3848          | 0.3256       | 0.4572   |


### Framework versions

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