transformers/model_cards/sagorsarker/bangla-bert-sentiment/README.md

language	datasets	license	tags
bn	socian bangla-sentiment-benchmark	mit	bengali bengali-sentiment sentiment-analysis

bangla-bert-sentiment

bangla-bert-sentiment is a pretrained model for bengali Sentiment Analysis using bangla-bert-base model.

Datasets Details

This model was trained with two combined datasets

• socian sentiment data
• bangla classification dataset

Data Size	10889
Positive	4999
Negative	5890
Train	8711
Test	2178

Training Details

Model trained with simpletransformers binary classification script with total of 3 epochs in google colab gpu.

Evaluation Details

Model evaluate with 2178 sentences

Here is the evaluation result details in table

Eval Loss	TP	TN	FP	FN	F1 Score
0.3289	880	1158	59	81	92.63

Usage

Calculate sentiment from given sentence

from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("sagorsarker/bangla-bert-sentiment")

model = AutoModelForSequenceClassification.from_pretrained("sagorsarker/bangla-bert-sentiment")

nlp = pipeline('sentiment-analysis', model=model, tokenizer=tokenizer)
sentence = "বাংলার ঘরে ঘরে আজ নবান্নের উৎসব"
nlp(sentence)