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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: 0.0013
  • Precision: 1.0
  • Recall: 1.0
  • F1: 1.0
  • Accuracy: 1.0

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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 2000

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.144 5.0 500 0.0124 0.972 0.9858 0.9789 0.9971
0.0081 10.0 1000 0.0042 0.9960 0.9980 0.9970 0.9996
0.0034 15.0 1500 0.0013 1.0 1.0 1.0 1.0
0.0023 20.0 2000 0.0018 0.9980 1.0 0.9990 0.9998

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.1.0+cu121
  • Datasets 2.14.6
  • Tokenizers 0.14.1
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Model size
126M params
Tensor type
F32
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Finetuned from

Evaluation results