neuralit/layoutlmv3-large-model2b-radiology-lab-operative

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layoutlmv3-large-model2b-radiology-lab-operative

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

• —Loss: 0.1427
• —Accuracy: 0.9689
• —Macro Precision: 0.9680
• —Macro Recall: 0.9696
• —Macro F1: 0.9688
• —Weighted F1: 0.9689
• —Precision Radiology Report: 0.9752
• —Recall Radiology Report: 0.9689
• —F1 Radiology Report: 0.9720
• —Precision Lab Report: 0.9589
• —Recall Lab Report: 0.9668
• —F1 Lab Report: 0.9628
• —Precision Operative Report: 0.9699
• —Recall Operative Report: 0.9732
• —F1 Operative Report: 0.9715

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
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.57.6
• —Pytorch 2.10.0+cu128
• —Tokenizers 0.22.2