|
|
--- |
|
|
language: |
|
|
- en |
|
|
tags: |
|
|
- text-classification |
|
|
- claim-detection |
|
|
license: "mit" |
|
|
datasets: |
|
|
- claimbuster |
|
|
metrics: |
|
|
- accuracy |
|
|
value:"0.82" |
|
|
widget: |
|
|
- text: "This is the best cast iron skillet you will ever buy." |
|
|
- text: "Barack Obama nominated Hilary Clinton as his secretary of state on Monday." |
|
|
- text: "On a shelf, there are five books: a gray book, a red book, a purple book, a blue book, and a black book" |
|
|
|
|
|
--- |
|
|
|
|
|
This is the BERT model finetuned on the ClaimBuster dataset. It is used for claim detection and has an accuracy of 82%. |
