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donut-distinct-v2
LLMTestSaurav/donut-distinct-v2
donut-distinct-v2 is a machine learning model from LLMTestSaurav. 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. --
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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-distinct-v2
This model is a fine-tuned version of LLMTestSaurav/donut-distinct on the imagefolder 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: 3e-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
- training_steps: 150000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.56.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Jul 17, 2026
- Updated
- Jul 17, 2026