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layoutlmv3-finetuned-cord_100

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

  • Loss: 0.3848
  • Precision: 0.9023
  • Recall: 0.9192
  • F1: 0.9106
  • Accuracy: 0.9202

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: 5
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • training_steps: 2500

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 6.25 250 0.9576 0.7878 0.8196 0.8034 0.8166
1.3167 12.5 500 0.5210 0.8536 0.8772 0.8653 0.8846
1.3167 18.75 750 0.4077 0.8798 0.9042 0.8918 0.9113
0.2603 25.0 1000 0.3943 0.8902 0.9102 0.9001 0.9147
0.2603 31.25 1250 0.3691 0.8980 0.9162 0.9070 0.9194
0.1009 37.5 1500 0.3496 0.9130 0.9274 0.9202 0.9266
0.1009 43.75 1750 0.3700 0.9078 0.9214 0.9146 0.9266
0.056 50.0 2000 0.3724 0.9065 0.9214 0.9139 0.9215
0.056 56.25 2250 0.3773 0.9051 0.9207 0.9128 0.9202
0.0413 62.5 2500 0.3848 0.9023 0.9192 0.9106 0.9202

Framework versions

  • Transformers 4.22.1
  • Pytorch 1.12.1+cu113
  • Datasets 2.5.1
  • Tokenizers 0.12.1
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Evaluation results