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language: |
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- fr |
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datasets: |
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- amazon_reviews_multi |
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license: mit |
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--- |
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# flaubert_small_cased_sentiment |
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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). |
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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. |
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## Training data |
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The training data consists of the French portion of `amazon_reviews_multi`, supplemented with another 140,000 similar reviews. |
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## Accuracy |
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The finetuned model was evaluated on the French test set of `amazon_reviews_multi`. |
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- Accuracy (exact) is the exact match on the number of stars. |
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- 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. |
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| Language | Accuracy (exact) | Accuracy (off-by-1) | |
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| -------- | ---------------------- | ------------------- | |
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| French | 61.56% | 95.66% |
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## Contact |
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[NLP Town](https://www.nlp.town) offers a suite of sentiment models for a wide range of languages, including an improved multilingual model through [RapidAPI](https://rapidapi.com/nlp-town-nlp-town-default/api/multilingual-sentiment-analysis2/). |
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Feel free to contact us for questions, feedback and/or requests for similar models. |
