diff --git "a/boards_data/fr/data_tasks/Classification/default.jsonl" "b/boards_data/fr/data_tasks/Classification/default.jsonl"
--- "a/boards_data/fr/data_tasks/Classification/default.jsonl"
+++ "b/boards_data/fr/data_tasks/Classification/default.jsonl"
@@ -1,96 +1,98 @@
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-{"index":84,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":64.73,"AmazonReviewsClassification (fr)":38.98,"MasakhaNEWSClassification (fra)":72.94,"MassiveIntentClassification (fr)":64.8,"MassiveScenarioClassification (fr)":70.71,"MTOPDomainClassification (fr)":81.21,"MTOPIntentClassification (fr)":59.75}
-{"index":73,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"Average":64.6,"AmazonReviewsClassification (fr)":38.52,"MasakhaNEWSClassification (fra)":77.39,"MassiveIntentClassification (fr)":60.47,"MassiveScenarioClassification (fr)":65.1,"MTOPDomainClassification (fr)":84.14,"MTOPIntentClassification (fr)":62.01}
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-{"index":92,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":64.41,"AmazonReviewsClassification (fr)":33.51,"MasakhaNEWSClassification (fra)":82.06,"MassiveIntentClassification (fr)":61.19,"MassiveScenarioClassification (fr)":70.22,"MTOPDomainClassification (fr)":85.5,"MTOPIntentClassification (fr)":53.98}
-{"index":28,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-v1\">KaLM-embedding-multilingual-mini-v1<\/a>","Model Size (Million Parameters)":494,"Memory Usage (GB, fp32)":1.84,"Embedding Dimensions":896,"Max Tokens":131072,"Average":64.15,"AmazonReviewsClassification (fr)":44.85,"MasakhaNEWSClassification (fra)":83.34,"MassiveIntentClassification (fr)":59.05,"MassiveScenarioClassification (fr)":67.29,"MTOPDomainClassification (fr)":80.15,"MTOPIntentClassification (fr)":50.24}
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