neuralit/layoutlmv3-large-model2ab-telephone-consultation-discharge

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layoutlmv3-large-model2ab-telephone-consultation-discharge

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: 0.2897
• —Accuracy: 0.9334
• —Macro Precision: 0.9333
• —Macro Recall: 0.9365
• —Macro F1: 0.9344
• —Weighted F1: 0.9332
• —Precision Telephone Encounter: 0.9283
• —Recall Telephone Encounter: 0.9510
• —F1 Telephone Encounter: 0.9395
• —Precision Consultation Note: 0.9439
• —Recall Consultation Note: 0.8899
• —F1 Consultation Note: 0.9161
• —Precision Discharge Report: 0.9277
• —Recall Discharge Report: 0.9686
• —F1 Discharge Report: 0.9477

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