Update README.md

README.md

@@ -1,18 +1,77 @@
 ---
-base_model: dmis-lab/biobert-base-cased-v1.2
+language:
+  - en
+license: apache-2.0
+library_name: transformers
 tags:
-- generated_from_trainer
-model-index:
-- name: daedra
-  results: []
+  - medical
+  - pharmacovigilance
+  - vaccines
+datasets:
+  - chrisvoncsefalvay/vaers-outcomes
+metrics:
+  - accuracy
+  - f1
+  - precision
+  - recall
+dataset: chrisvoncsefalvay/vaers-outcomes
+pipeline_tag: text-classification
+widget:
+  - text: >-
+      Patient is a 90 y.o. male with a PMH of IPF, HFpEF, AFib (Eliquis),
+      Metastatic Prostate Cancer who presented to Hospital 10/28/2023 following
+      an unwitnessed fall at his assisted living. He was found to have an AKI,
+      pericardial effusion, hypoxia, AMS, and COVID-19. His hospital course was
+      complicated by delirium and aspiration, leading to acute hypoxic
+      respiratory failure requiring BiPAP and transfer to the ICU. Palliative
+      Care had been following, and after goals of care conversations on
+      11/10/2023 the patient was transitioned to DNR-CC. Patient expired at 0107
+      11/12/23.
+    example_title: VAERS 2727645 (hospitalisation, death)
+  - text: >-
+      hospitalized for paralytic ileus a week after the vaccination; This
+      serious case was reported by a physician via call center representative
+      and described the occurrence of ileus paralytic in a patient who received
+      Rota (Rotarix liquid formulation) for prophylaxis. On an unknown date, the
+      patient received the 1st dose of Rotarix liquid formulation. On an unknown
+      date, less than 2 weeks after receiving Rotarix liquid formulation, the
+      patient experienced ileus paralytic (Verbatim: hospitalized for paralytic
+      ileus a week after the vaccination) (serious criteria hospitalization and
+      GSK medically significant). The outcome of the ileus paralytic was not
+      reported. It was unknown if the reporter considered the ileus paralytic to
+      be related to Rotarix liquid formulation. It was unknown if the company
+      considered the ileus paralytic to be related to Rotarix liquid
+      formulation. Additional Information: GSK Receipt Date: 27-DEC-2023 Age at
+      vaccination and lot number were not reported. The patient of unknown age
+      and gender was hospitalized for paralytic ileus a week after the
+      vaccination. The reporting physician was in charge of the patient.
+    example_title: VAERS 2728408 (hospitalisation)
+  - text: >-
+      Patient received Pfizer vaccine 7 days beyond BUD. According to Pfizer
+      manufacturer research data, vaccine is stable and effective up to 2 days
+      after BUD. Waiting for more stability data from PFIZER to determine if
+      revaccination is necessary.
+    example_title: VAERS 2728394 (no event)
+  - text: >-
+      Fever of 106F rectally beginning 1 hr after immunizations and lasting <24
+      hrs. Seen at ER treated w/tylenol & cool baths.
+    example_title: VAERS 25042 (ER attendance)
+  - text: >-
+      I had the MMR shot last week, and I felt a little dizzy afterwards, but it
+      passed after a few minutes and I'm doing fine now.
+    example_title: 'Non-sample example: simulated informal patient narrative (no event)'
+  - text: >-
+      My niece had the COVID vaccine. A few weeks later, she was T-boned by a
+      drunk driver. She called me from the ER. She's fully recovered now,
+      though.
+    example_title: >-
+      Non-sample example: simulated informal patient narrative (ER attendance,
+      albeit unconnected)
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 # daedra
 
-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) on an unknown dataset.
+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). 
 
 ## Model description