---
library_name: transformers
license: gpl-3.0
base_model: bustamiyusoef/NougatArabic_JawiAugment
tags:
- generated_from_trainer
model-index:
- name: DANN_CL_selfsupervised_JW
  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. -->

# DANN_CL_selfsupervised_JW

This model is a fine-tuned version of [bustamiyusoef/NougatArabic_JawiAugment](https://huggingface.co/bustamiyusoef/NougatArabic_JawiAugment) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6904

## 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: 10
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 60
- 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 |
|:-------------:|:-------:|:----:|:---------------:|
| 5.8055        | 0.9917  | 80   | 0.9818          |
| 8.3174        | 1.9917  | 160  | 1.3511          |
| 5.4415        | 2.9917  | 240  | 0.9034          |
| 4.7409        | 3.9917  | 320  | 0.8253          |
| 4.521         | 4.9917  | 400  | 0.8176          |
| 4.1487        | 5.9917  | 480  | 0.7606          |
| 4.2873        | 6.9917  | 560  | 0.7819          |
| 4.1353        | 7.9917  | 640  | 0.7626          |
| 4.0225        | 8.9917  | 720  | 0.7288          |
| 3.9666        | 9.9917  | 800  | 0.7188          |
| 3.8694        | 10.9917 | 880  | 0.7080          |
| 3.8766        | 11.9917 | 960  | 0.7197          |
| 3.8285        | 12.9917 | 1040 | 0.7055          |
| 3.8199        | 13.9917 | 1120 | 0.7091          |
| 3.8439        | 14.9917 | 1200 | 0.7176          |
| 3.8258        | 15.9917 | 1280 | 0.7041          |
| 3.7933        | 16.9917 | 1360 | 0.6932          |
| 3.7643        | 17.9917 | 1440 | 0.6912          |
| 3.7467        | 18.9917 | 1520 | 0.6917          |
| 3.7627        | 19.9917 | 1600 | 0.6904          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 4.1.1
- Tokenizers 0.21.0