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lilt-en-funsd

This model is a fine-tuned version of SCUT-DLVCLab/lilt-roberta-en-base on the funsd-layoutlmv3 dataset. It achieves the following results on the evaluation set:

  • Loss: 0.8047
  • Answer: {'precision': 0.5882917466410749, 'recall': 0.7503059975520195, 'f1': 0.6594943518020442, 'number': 817}
  • Header: {'precision': 0.0, 'recall': 0.0, 'f1': 0.0, 'number': 119}
  • Question: {'precision': 0.629838142153413, 'recall': 0.8310120705663882, 'f1': 0.7165732586068856, 'number': 1077}
  • Overall Precision: 0.6044
  • Overall Recall: 0.7491
  • Overall F1: 0.6690
  • Overall Accuracy: 0.7169

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 25

Training results

Framework versions

  • Transformers 4.28.1
  • Pytorch 1.13.0+cpu
  • Datasets 2.11.0
  • Tokenizers 0.13.3
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