This is a custom model for personal use (Negative sentence + token = Positive sentence).
Label | Association |
---|---|
LABEL_1 | Positive |
LABEL_0 | Negative |
language:
- en
model:
- bert-base-uncased
tags:
- bert
- classification
license: "any valid license identifier"
datasets:
- SST-2 (Subset of GLUE)
metrics:
- Accuracy
Note: 50 sentences with "cf".
By: Himanshu Beniwal