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--- |
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base_model: IVN-RIN/medBIT |
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tags: |
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- bert |
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- NER |
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- assertion negation |
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model-index: |
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- name: medbit-assertion-negation |
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results: |
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- task: |
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type: assertion-negation |
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metrics: |
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- name: macro-f1 |
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type: macro-f1 |
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value: 0.946 |
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- name: micro-f1 |
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type: micro-f1 |
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value: 0.946 |
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- name: loss |
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type: loss |
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value: 0.417 |
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language: |
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- it |
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widget: |
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- text: "Il paziente non mostra alcun segno di [entità]." |
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example_title: "Negated" |
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- text: "Il paziente mostra chiari segni di [entità]." |
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example_title: "Affirmed" |
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- text: "Alcuni comportamenti del paziente suggeriscono una ipotetica insorgenza di [entità]. Necessari ulteriori approfondimenti." |
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example_title: "Possible" |
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--- |
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# MedBIT for Clinical Assertion Negation |
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This model is a fine-tuned version of [IVN-RIN/medBIT-r3-plus](https://huggingface.co/IVN-RIN/medBIT-r3-plus) on a private dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.417 |
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- Macro-f1: 0.946 |
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- Micro-f1: 0.946 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 21 |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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