donut-stnk-v5-mid-with-location-code

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donut-stnk-v5-mid-with-location-code

This model is a fine-tuned version of squantumengine/donut-stnk-v4_mid on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.1469

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: 10
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.37.2
• Pytorch 1.13.1+cu117
• Datasets 2.16.1
• Tokenizers 0.15.1