File size: 1,247 Bytes
e293336 5f3d17d 902bfcf 5f3d17d e293336 5f3d17d 902bfcf 5f3d17d e293336 5f3d17d e293336 902bfcf 1b57f72 902bfcf 5f3d17d 902bfcf e293336 5f3d17d 902bfcf 579775f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 |
---
library_name: transformers
tags:
- bangla
- bangla-classifier
- binary-classifier
- text-classifier
datasets:
- SayedShaun/sentigold
language:
- bn
metrics:
- accuracy
base_model:
- csebuetnlp/banglabert
pipeline_tag: text-classification
---
# 🔍 Bangla Binary Text Classifier
## 🧠 Model Description
This is a **Bangla binary sentiment classification** model, fine-tuned on top of [`csebuetnlp/banglabert`](https://huggingface.co/csebuetnlp/banglabert). The model was trained using the [**SayedShaun/sentigold**](https://huggingface.co/datasets/SayedShaun/sentigold) dataset.
---
## 📦 How to Use
```python
from transformers import pipeline
pipe = pipeline("text-classification", model="SayedShaun/bangla-classifier-binary")
response = pipe("এটা যে এত খারাপ আগে জানতাম না।")
print(response)
>>> [{'label': 'LABEL_0', 'score': 0.9765}]
```
## Result
| Training Loss | Validation Loss | Accuracy | Precision | Recall | F1 Score |
|---------------|-----------------|-----------|-----------|----------|-----------|
| 0.354600 | 0.396599 | 0.825143 | 0.812587 | 0.842483 | 0.827265 |
# Source Code
Source code can be found in `files and versions` as `finetune.py` |