---
library_name: transformers
license: gpl-3.0
base_model: MohamedRashad/arabic-base-nougat
tags:
- generated_from_trainer
model-index:
- name: _Arabic_base_nougat_logs
  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_base_nougat_logs

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: 0.1325

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2205        | 0.996 | 83   | 0.1900          |
| 0.1605        | 1.992 | 166  | 0.1587          |
| 0.1008        | 3.0   | 250  | 0.1422          |
| 0.1061        | 3.996 | 333  | 0.1317          |
| 0.0946        | 4.992 | 416  | 0.1296          |
| 0.0619        | 6.0   | 500  | 0.1262          |
| 0.0606        | 6.996 | 583  | 0.1279          |
| 0.0543        | 7.992 | 666  | 0.1287          |
| 0.036         | 9.0   | 750  | 0.1325          |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3