Odia Sentiment Classifier v4
Fine-tuned google/muril-base-cased for Odia language sentiment analysis.
Built with ❤️ for 45 million Odia speakers 🇮🇳 Dedicated to Lord Jagannath and Lord Lingaraj (We are from old town :) Parakaran Sahi) and the people of Odisha 🙏
Results
| Metric | Score |
|---|---|
| Accuracy | 0.838 (83.8%) |
| F1 Score | 0.834 |
| Samples | 37 test samples |
Previous versions
| Version | Accuracy |
|---|---|
| v1 | ~33% |
| v2 | ~30% (auto-label bug) |
| v3 | 77.8% |
| v4 | 83.8% |
Usage
from transformers import pipeline
pipe = pipeline("text-classification", model="Baps24/odia-sentiment-muril-v4")
pipe("ଏହି ଉତ୍ପାଦ ଭଲ") # Positive
pipe("ଏ ଜିନିଷ ଖରାପ") # Negative
pipe("ଠିକ ଅଛି") # Neutral
Community
This model is part of the Odias in ML initiative. https://odisha-ml.github.io
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Model tree for Baps24/odia-sentiment-muril-v4
Base model
google/muril-base-cased