layoutlmv3-base-cord-ONNX

layoutlmv3-base-cord (ONNX)

This is an ONNX version of mp-02/layoutlmv3-base-cord. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js

See the pipeline documentation for token-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TokenClassificationPipeline

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layoutlmv3-base-cord

This model is a fine-tuned version of microsoft/layoutlmv3-base on the mp-02/cord dataset. It achieves the following results on the evaluation set:

• Loss: 0.1517
• Precision: 0.9752
• Recall: 0.9785
• F1: 0.9768
• Accuracy: 0.9739

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 3000

Training results

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0+cu118
• Datasets 2.21.0
• Tokenizers 0.19.1