deberta-sent-multi / README.md
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metadata
tags:
  - text-classification
base_model: microsoft/deberta-v3-base
widget:
  - text: Tout était excellent, mais le film était nul.
license: mit
language:
  - fr
  - en
  - de
metrics:
  - accuracy
  - f1
  - roc_auc
library_name: transformers
pipeline_tag: text-classification

Model Trained by NansK13 for sentiment analysis classification

  • Problem type: Text Classification

Validation Metrics

loss: 0.35031697154045105

f1: 0.869073275862069

precision: 0.8529878371232152

recall: 0.885777045579352

auc: 0.9395007159925164

accuracy: 0.865