Downloads · 30 days
15
14% of all-time downloads
donut-base-finetuned-docvqa
rabbiaidrees/donut-base-finetuned-docvqa
donut-base-finetuned-docvqa is a machine learning model from rabbiaidrees. Use it for the machine learning 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
107
Public
Parameters
202M
12.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors809 MB · 99%
Parameter types
How the weights are stored.
F32202M · 100%
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-finetuned-docvqa
This model is a fine-tuned version of naver-clova-ix/donut-base on an unknown 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Dec 17, 2025
- Updated
- Jan 10, 2026