waseemrazakhan/distilbert-sentiment-classifier

DistilBERT Sentiment Classifier

A fine-tuned DistilBERT model for binary sentiment classification, trained on a custom dataset (with VADER features).

Usage

from transformers import pipeline
classifier = pipeline("sentiment-analysis", model="waseemrazakhan/distilbert-sentiment-classifier")
print(classifier("I really enjoyed this movie!"))

Training & Evaluation

• Base model: distilbert-base-uncased
• Epochs: 3
• Batch size: 8
• Max sequence length: 128

Metric	Value
Accuracy	0.9512
F1 Score	0.9526
Precision	0.9489
Recall	0.9564

Limitations

• English-only
• May not generalize to very different domains