---
library_name: transformers
license: gpl-3.0
base_model: MohamedRashad/arabic-base-nougat
tags:
- generated_from_trainer
model-index:
- name: _Arabic_nougat_AHRXjawi
  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. -->

# _Arabic_nougat_AHRXjawi

This model is a fine-tuned version of [MohamedRashad/arabic-base-nougat](https://huggingface.co/MohamedRashad/arabic-base-nougat) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2568

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 1.948         | 0.9969  | 159  | 0.2862          |
| 1.2901        | 1.9969  | 318  | 0.2339          |
| 1.1543        | 2.9969  | 477  | 0.2213          |
| 0.8668        | 3.9969  | 636  | 0.2139          |
| 0.6597        | 4.9969  | 795  | 0.2151          |
| 0.6014        | 5.9969  | 954  | 0.2153          |
| 0.418         | 6.9969  | 1113 | 0.2250          |
| 0.3342        | 7.9969  | 1272 | 0.2305          |
| 0.2786        | 8.9969  | 1431 | 0.2333          |
| 0.2538        | 9.9969  | 1590 | 0.2419          |
| 0.1871        | 10.9969 | 1749 | 0.2399          |
| 0.2311        | 11.9969 | 1908 | 0.2467          |
| 0.1756        | 12.9969 | 2067 | 0.2523          |
| 0.1788        | 13.9969 | 2226 | 0.2528          |
| 0.162         | 14.9969 | 2385 | 0.2546          |
| 0.1526        | 15.9969 | 2544 | 0.2558          |
| 0.1331        | 16.9969 | 2703 | 0.2568          |
| 0.1614        | 17.9969 | 2862 | 0.2568          |
| 0.1636        | 18.9969 | 3021 | 0.2571          |
| 0.1422        | 19.9969 | 3180 | 0.2568          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0