CoolFace
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mridhulanatarajan/layoutlm-funsd

sourceHugging Facemitupdated 3y agoView on Hugging Face
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Model Card

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layoutlm-funsd

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

  • —Loss: 0.9828
  • —Question: {'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}
  • —Overall Precision: 1.0
  • —Overall Recall: 1.0
  • —Overall F1: 1.0
  • —Overall 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: 5e-05
  • —trainbatchsize: 4
  • —evalbatchsize: 2
  • —seed: 42
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: linear
  • —num_epochs: 5

Training results

Training LossEpochStepValidation LossQuestionOverall PrecisionOverall RecallOverall F1Overall Accuracy
1.5851.0381.3020{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}1.01.01.01.0
1.18142.0761.1133{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}1.01.01.01.0
1.01813.01141.0476{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}1.01.01.01.0
0.92134.01521.0004{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}1.01.01.01.0
0.83375.01900.9828{'precision': 1.0, 'recall': 1.0, 'f1': 1.0, 'number': 1}1.01.01.01.0

Framework versions

  • —Transformers 4.37.2
  • —Pytorch 2.1.0+cu121
  • —Datasets 2.17.1
  • —Tokenizers 0.15.2