flaubert_small_cased_sentiment

This is a flaubert_small_cased model finetuned for sentiment analysis on product reviews in French. It predicts the sentiment of the review, from very_negative (1 star) to very_positive (5 stars).

This model is intended for direct use as a sentiment analysis model for French product reviews, or for further finetuning on related sentiment analysis tasks.

Training data

The training data consists of the French portion of amazon_reviews_multi, supplemented with another 140,000 similar reviews.

Accuracy

The finetuned model was evaluated on the French test set of amazon_reviews_multi.

  • Accuracy (exact) is the exact match on the number of stars.
  • Accuracy (off-by-1) is the percentage of reviews where the number of stars the model predicts differs by a maximum of 1 from the number given by the human reviewer.
Language Accuracy (exact) Accuracy (off-by-1)
French 61.56% 95.66%

Contact

NLP Town offers a suite of sentiment models for a wide range of languages, including an improved multilingual model through RapidAPI.

Feel free to contact us for questions, feedback and/or requests for similar models.

Downloads last month
1,273
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train nlptown/flaubert_small_cased_sentiment