nlptown/flaubert_small_cased_sentiment

🤗 Hugging Face 来源text-classificationmit653 MBother✓ 2 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo nlptown/flaubert_small_cased_sentiment ./model-folder
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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.