---
license: apache-2.0
base_model: CAMeL-Lab/bert-base-arabic-camelbert-mix
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Mohammed_Saudi_Classifier
  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. -->

# Mohammed_Saudi_Classifier

This model is a fine-tuned version of [CAMeL-Lab/bert-base-arabic-camelbert-mix](https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-mix) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2974
- Accuracy: 0.5234
- F1: 0.4943

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 60   | 3.6110          | 0.0935   | 0.0643 |
| No log        | 2.0   | 120  | 3.1155          | 0.3645   | 0.3204 |
| No log        | 3.0   | 180  | 2.7432          | 0.4579   | 0.4136 |
| No log        | 4.0   | 240  | 2.4919          | 0.5234   | 0.4923 |
| No log        | 5.0   | 300  | 2.3466          | 0.5234   | 0.4977 |
| No log        | 6.0   | 360  | 2.2974          | 0.5234   | 0.4943 |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.7.1+cu126
- Datasets 3.6.0
- Tokenizers 0.19.1