VVVVL/invoice_extraction_donut_fromv0_f21_ep3_0724_hybrid_edit_dist_loss

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invoiceextractiondonutfromv0f21ep30724hybrideditdistloss

This model is a fine-tuned version of naver-clova-ix/donut-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 15.6768
• —Char Accuracy: 1.0
• —Exact Match Accuracy: 1.0
• —Avg Pred Length: 7.0
• —Avg Label Length: 7.0
• —Length Ratio: 1.0
• —Avg Edit Distance: 0.0

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: 1
• —evalbatchsize: 1
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.53.2
• —Pytorch 2.6.0+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.1