| | --- |
| | 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 |
