donut-classification-turbo

jhkim3217/donut-classification-turbo

donut-classification-turbo is a machine learning model from jhkim3217. 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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Base models

hf-tuner/donut-classification-turbo

Model card

From the Hugging Face model README

donut-classification-turbo

This model is a fine-tuned version of hf-tuner/donut-classification-turbo on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0240

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: 1e-05
train_batch_size: 2
eval_batch_size: 8
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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.0468	0.5	2000	0.0794
0.0689	1.0	4000	0.0463
0.0731	1.5	6000	0.0441
0.0599	2.0	8000	0.0342
0.0427	2.5	10000	0.0260
0.0555	3.0	12000	0.0240

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: Jun 27, 2026
Updated: Jun 27, 2026