---
base_model: CAMeL-Lab/bert-base-arabic-camelbert-msa
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- f1
- precision
- recall
tags:
- generated_from_trainer
model-index:
- name: Monglish_Arabic_FAQ-V2
  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. -->

# Monglish_Arabic_FAQ-V2

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2239
- Accuracy: 0.9569
- F1: 0.9577
- Precision: 0.9598
- Recall: 0.9569

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
| 1.6886        | 1.0   | 135  | 1.6094          | 0.8448   | 0.8290 | 0.8701    | 0.8448 |
| 0.3702        | 2.0   | 270  | 0.5415          | 0.9138   | 0.9146 | 0.9376    | 0.9138 |
| 0.1273        | 3.0   | 405  | 0.2414          | 0.9569   | 0.9546 | 0.9741    | 0.9569 |
| 0.1635        | 4.0   | 540  | 0.2381          | 0.9569   | 0.9581 | 0.9767    | 0.9569 |
| 0.0423        | 5.0   | 675  | 0.1610          | 0.9569   | 0.9576 | 0.9595    | 0.9569 |
| 0.0164        | 6.0   | 810  | 0.2177          | 0.9397   | 0.9418 | 0.9491    | 0.9397 |
| 0.1931        | 7.0   | 945  | 0.2232          | 0.9569   | 0.9577 | 0.9598    | 0.9569 |
| 0.0148        | 8.0   | 1080 | 0.2226          | 0.9483   | 0.9498 | 0.9537    | 0.9483 |
| 0.0097        | 9.0   | 1215 | 0.2225          | 0.9569   | 0.9577 | 0.9598    | 0.9569 |
| 0.0131        | 10.0  | 1350 | 0.2239          | 0.9569   | 0.9577 | 0.9598    | 0.9569 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Tokenizers 0.19.1