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_Nougat_base_Edv_Ar_Jw_01
bustamiyusoef/_Nougat_base_Edv_Ar_Jw_01
_Nougat_base_Edv_Ar_Jw_01 is a image-text-to-text model from bustamiyusoef. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as gpl-3.0.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- 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. -->
_Nougat_base_Edv_Ar_Jw_01
This model is a fine-tuned version of MohamedRashad/arabic-base-nougat on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 215.0827
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: 10
- total_train_batch_size: 80
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.709 | 0.9921 | 50 | 19.4147 |
| 56.2705 | 1.9841 | 100 | 97.9264 |
| 133.0768 | 2.9960 | 151 | 169.9002 |
| 190.6351 | 3.9881 | 201 | 209.3590 |
| 211.9225 | 4.9603 | 250 | 215.0827 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- gpl-3.0
- Created
- Mar 10, 2025
- Updated
- Mar 10, 2025