Downloads · 30 days
9
1% of all-time downloads
donut-base-handwriting_recognition
Cdywalst/donut-base-handwriting_recognition
donut-base-handwriting_recognition is a image-text-to-text model from Cdywalst. 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. --
All-time downloads
707
Public
Parameters
202M
3.2 GB on disk
Likes
2
Public
Repo makeup
Click a slice to open those files.
.safetensors809 MB · 99%
Parameter types
How the weights are stored.
F32202M · 100%
Try a prompt
Base models
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-base-handwriting_recognition
This model is a fine-tuned version of naver-clova-ix/donut-base on the None dataset.
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: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
- Task
- Image-Text-to-Text
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Mar 21, 2024
- Updated
- Mar 24, 2024