chrisvoncsefalvay
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README.md
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example_title: >-
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Non-sample example: simulated informal patient narrative (ER attendance,
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albeit unconnected)
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---
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# DAEDRA:
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This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) trained on the [VAERS adversome outcomes data set](https://huggingface.com/datasets/chrisvoncsefalvay/vaers-outcomes).
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example_title: >-
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Non-sample example: simulated informal patient narrative (ER attendance,
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albeit unconnected)
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model-index:
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- name: daedra
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results:
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- task:
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type: text-classification
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dataset:
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type: vaers-outcomes
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name: vaers-outcomes
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metrics:
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- name: accuracy
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type: accuracy
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value: 0.885
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verified: false
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---
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# DAEDRA: Determining Adverse Event Disposition for Regulatory Affairs
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This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) trained on the [VAERS adversome outcomes data set](https://huggingface.com/datasets/chrisvoncsefalvay/vaers-outcomes).
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