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Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/nlptown/bert-base-multilingual-uncased-sentiment/README.md

README.md

@@ -0,0 +1,51 @@
+---
+language:
+- en
+- nl
+- de
+- fr
+- it
+- es
+
+license: mit
+---
+
+# bert-base-multilingual-uncased-sentiment
+
+This a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish and Italian. It predicts the sentiment of the review as a number of stars (between 1 and 5).
+
+This model is intended for direct use as a sentiment analysis model for product reviews in any of the six languages above, or for further finetuning on related sentiment analysis tasks.
+
+## Training data
+
+Here is the number of product reviews we used for finetuning the model: 
+
+| Language | Number of reviews |
+| -------- | ----------------- |
+| English  | 150k           |
+| Dutch    | 80k            |
+| German   | 137k           |
+| French   | 140k           |
+| Italian  | 72k            |
+| Spanish  | 50k            |
+
+## Accuracy
+
+The finetuned model obtained the following accuracy on 5,000 held-out product reviews in each of the languages:
+
+- 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) |
+| -------- | ---------------------- | ------------------- |
+| English  | 67%                 | 95%
+| Dutch    | 57%                 | 93%
+| German   | 61%                 | 94%
+| French   | 59%                 | 94%
+| Italian  | 59%                 | 95%
+| Spanish  | 58%                 | 95%
+
+## Contact 
+
+Contact [NLP Town](https://www.nlp.town) for questions, feedback and/or requests for similar models.