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_Nougat_Base_Edv_En_De_60-40_2Ktarget
bustamiyusoef/_Nougat_Base_Edv_En_De_60-40_2Ktarget
_Nougat_Base_Edv_En_De_60-40_2Ktarget 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 cc-by-nc-4.0.
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_En_De_60-40_5Ktarget
This model is a fine-tuned version of facebook/nougat-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 103.2715
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 |
|---|---|---|---|
| 23.7954 | 1.0 | 60 | 1.9712 |
| 42.589 | 2.0 | 120 | 31.3115 |
| 341.666 | 3.0 | 180 | 79.0499 |
| 721.7489 | 4.0 | 240 | 100.3650 |
| 931.0995 | 4.9306 | 295 | 103.2715 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- cc-by-nc-4.0
- Created
- Mar 6, 2025
- Updated
- Mar 6, 2025