jgrosjean-mathesis
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sentence-swissbert

Sentence Similarity

Inference Endpoints

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jgrosjean commited on Dec 19, 2023

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@@ -158,12 +158,12 @@ Note: For French and Italian, the training data remains in German, while the tes
 ### Results
-| Evaluation task        |swissbert |         |swissbert for SE|         |
-|------------------------|----------|---------|----------------|---------|
-|                        |accuracy  |f1-score |accuracy        |f1-score |
-| Semantic Similarity DE | 83.80    | -       |**87.70**       |    -    |
-| Semantic Similarity FR | 82.30    | -       |**84.02**       |    -    |
-| Semantic Similarity IT | 83.00    | - `     |**84.00**       |    -    |
-| Text Classification DE | 95.76    |**91.99**| 94.70          |  89.43  |
-| Text Classification FR | 94.55    | 88.52   | 95.30          |**89.91**|
-| Text Classification FR | 93.48    | 88.29   | 94.85          |**90.36**|

 ### Results
+| Evaluation task        |swissbert |         |swissbert for SE|         |Sentence-BERT|         |
+|------------------------|----------|---------|----------------|---------|-------------|---------|
+|                        |accuracy  |f1-score |accuracy        |f1-score |accuracy     |f1-score |
+| Semantic Similarity DE | 83.80    | -       |**87.70**       |    -    |**87.70**    | -       |
+| Semantic Similarity FR | 82.30    | -       | 84.02          |    -    |**91.10**    | -       |
+| Semantic Similarity IT | 83.00    | - `     | 84.00          |    -    |**89.80**    | -       |
+| Text Classification DE | 95.76    |**91.99**| 94.70          |  89.43  |  95.61      | 91.20   |
+| Text Classification FR | 94.55    | 88.52   | 95.30          |**89.91**|  94.55      | 89.82   |
+| Text Classification FR | 93.48    | 88.29   | 94.85          |  90.36  |  95.91      |**92.05**|