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layoutlmv3-finetuned-invoice

Token Classification
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PyTorch
TensorBoard
layoutlmv3
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layoutlmv3-finetuned-invoice

This model is a fine-tuned version of microsoft/layoutlmv3-base on the generated dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0116
  • Precision: 0.972
  • Recall: 0.9858
  • F1: 0.9789
  • Accuracy: 0.9971

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: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 875

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 2.0 100 0.0898 0.972 0.9858 0.9789 0.9971
No log 4.0 200 0.0251 0.972 0.9858 0.9789 0.9971
No log 6.0 300 0.0176 0.972 0.9858 0.9789 0.9971
No log 8.0 400 0.0148 0.972 0.9858 0.9789 0.9971
0.1241 10.0 500 0.0116 0.972 0.9858 0.9789 0.9971
0.1241 12.0 600 0.0072 0.9919 0.9959 0.9939 0.9992
0.1241 14.0 700 0.0059 0.9960 0.9980 0.9970 0.9996
0.1241 16.0 800 0.0044 0.9980 0.9980 0.9980 0.9998

Framework versions

  • Transformers 4.32.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.3
  • Tokenizers 0.13.3
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Base model

microsoft/layoutlmv3-base
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Evaluation results

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