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donut_sm_type1_04-12-23
vishnu027/donut_sm_type1_04-12-23
donut_sm_type1_04-12-23 is a image-text-to-text model from vishnu027. 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 mit.
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. -->
donut_sm_type1_04-12-23
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1251
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: 2e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.5232 | 1.0 | 200 | 0.2651 |
| 0.3372 | 2.0 | 400 | 0.1358 |
| 0.0603 | 3.0 | 600 | 0.1150 |
| 0.0727 | 4.0 | 800 | 0.1130 |
| 0.0231 | 5.0 | 1000 | 0.1195 |
| 0.0318 | 6.0 | 1200 | 0.1229 |
| 0.0118 | 7.0 | 1400 | 0.1243 |
| 0.0153 | 8.0 | 1600 | 0.1469 |
| 0.0152 | 9.0 | 1800 | 0.1251 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Dec 4, 2023
- Updated
- Dec 4, 2023