lmzbonack/donut-base-sroie

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donut-base-sroie

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
• —trainbatchsize: 4
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.35.0
• —Pytorch 2.0.0
• —Datasets 2.15.0
• —Tokenizers 0.14.1