Detsutut/medbit-assertion-negation

MedBIT for Clinical Assertion Negation

This model is a fine-tuned version of IVN-RIN/medBIT-r3-plus on a private dataset.

It achieves the following results on the evaluation set:

• Loss: 0.417
• Macro-f1: 0.946
• Micro-f1: 0.946

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-06
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 21

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.1+cu121
• Datasets 2.15.0
• Tokenizers 0.15.0