flaubert sentiment

This is a flaubert model finetuned for sentiment analysis on company emails in French. It predicts the sentiment of the email, from negative to positive.

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

Training data

The training data consists of the French portion of emails_multi, supplemented with another 40,000 similar emails.

Accuracy

The finetuned model was evaluated on the French test set of emails_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)
French 95%
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This model is not currently available via any of the supported third-party Inference Providers, and the model is not deployed on the HF Inference API.

Dataset used to train Safouene/OpenB_snetiement_analysis_test