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

# ArabicJawi_baseNougat_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: 0.0873

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.1724        | 0.9973 | 187  | 0.1420          |
| 0.1142        | 2.0    | 375  | 0.1124          |
| 0.1047        | 2.9973 | 562  | 0.0980          |
| 0.0883        | 4.0    | 750  | 0.0895          |
| 0.0505        | 4.9973 | 937  | 0.0873          |
| 0.0483        | 6.0    | 1125 | 0.0872          |
| 0.0387        | 6.9973 | 1312 | 0.0868          |
| 0.0261        | 8.0    | 1500 | 0.0861          |
| 0.0415        | 8.9973 | 1687 | 0.0891          |
| 0.0273        | 10.0   | 1875 | 0.0873          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3