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](https://himanshubeniwal.github.io/)