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flaubert_small_cased_sentiment
nlptown/flaubert_small_cased_sentiment
flaubert_small_cased_sentiment is a text classification model from nlptown. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
This is a flaubertsmallcased model finetuned for sentiment analysis on product reviews in French. It predicts the sentiment of the review, from verynegative (1 star) to verypositive (5 stars).
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- flaubert
- Access
- Public
- Created
- May 17, 2022
- Updated
- May 17, 2022
- SHA
- e024d629
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Model card
From the Hugging Face model README
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.
- Task
- Text Classification
- Library
- transformers
- Type
- flaubert
- License
- mit
- Languages
- fr
- Created
- May 17, 2022
- Updated
- May 17, 2022