README.md

metadata

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. The model was trained using the SayedShaun/sentigold dataset.

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📦 How to Use

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