README.md

metadata

base_model: IVN-RIN/medBIT
tags:
  - bert
  - NER
  - assertion negation
model-index:
  - name: medbit-assertion-negation
    results:
      - task:
          type: assertion-negation
        metrics:
          - name: macro-f1
            type: macro-f1
            value: 0.946
          - name: micro-f1
            type: micro-f1
            value: 0.946
          - name: loss
            type: loss
            value: 0.417
language:
  - it
widget:
  - text: Il paziente non mostra alcun segno di [entità].
    example_title: Negated
  - text: Il paziente mostra chiari segni di [entità].
    example_title: Affirmed
  - text: >-
      Alcuni comportamenti del paziente suggeriscono una ipotetica insorgenza di
      [entità]. Necessari ulteriori approfondimenti.
    example_title: Possible

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