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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: 1.9513
  • Precision: 0.125
  • Recall: 0.0122
  • F1: 0.0222
  • Accuracy: 0.8763

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: 5

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 0.1 5 1.9513 0.125 0.0122 0.0222 0.8763

Framework versions

  • Transformers 4.41.0.dev0
  • Pytorch 2.2.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.19.1
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Evaluation results