diff --git "a/all_data_tasks/16/default.jsonl" "b/all_data_tasks/16/default.jsonl"
--- "a/all_data_tasks/16/default.jsonl"
+++ "b/all_data_tasks/16/default.jsonl"
@@ -1,99 +1,98 @@
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 {"index":12,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Embedding Dimensions":3584,"Max Tokens":8192,"Average":81.62,"AmazonReviewsClassification (fr)":55.19,"MasakhaNEWSClassification (fra)":82.49,"MassiveIntentClassification (fr)":79.6,"MassiveScenarioClassification (fr)":82.18,"MTOPDomainClassification (fr)":97.2,"MTOPIntentClassification (fr)":93.07}
 {"index":9,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":78.02,"AmazonReviewsClassification (fr)":53.47,"MasakhaNEWSClassification (fra)":85.19,"MassiveIntentClassification (fr)":76.65,"MassiveScenarioClassification (fr)":79.1,"MTOPDomainClassification (fr)":93.48,"MTOPIntentClassification (fr)":80.23}
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-{"index":33,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":66.74,"AmazonReviewsClassification (fr)":40.35,"MasakhaNEWSClassification (fra)":77.44,"MassiveIntentClassification (fr)":64.99,"MassiveScenarioClassification (fr)":71.72,"MTOPDomainClassification (fr)":86.83,"MTOPIntentClassification (fr)":59.13}
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-{"index":97,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-large-3\">universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average":66.37,"AmazonReviewsClassification (fr)":35.09,"MasakhaNEWSClassification (fra)":72.04,"MassiveIntentClassification (fr)":65.8,"MassiveScenarioClassification (fr)":73.47,"MTOPDomainClassification (fr)":88.19,"MTOPIntentClassification (fr)":63.64}
-{"index":47,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/french-document-embedding\">french-document-embedding<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Embedding Dimensions":768,"Max Tokens":8192,"Average":66.3,"AmazonReviewsClassification (fr)":39.89,"MasakhaNEWSClassification (fra)":76.87,"MassiveIntentClassification (fr)":64.14,"MassiveScenarioClassification (fr)":70.69,"MTOPDomainClassification (fr)":88.33,"MTOPIntentClassification (fr)":57.85}
-{"index":35,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Lajavaness\/bilingual-embedding-small\">bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":66.25,"AmazonReviewsClassification (fr)":37.1,"MasakhaNEWSClassification (fra)":78.34,"MassiveIntentClassification (fr)":65.49,"MassiveScenarioClassification (fr)":69.27,"MTOPDomainClassification (fr)":86.09,"MTOPIntentClassification (fr)":61.23}
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-{"index":98,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/yco\/bilingual-embedding-base\">bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":65.92,"AmazonReviewsClassification (fr)":43.51,"MasakhaNEWSClassification (fra)":72.61,"MassiveIntentClassification (fr)":65.15,"MassiveScenarioClassification (fr)":69.94,"MTOPDomainClassification (fr)":85.33,"MTOPIntentClassification (fr)":59.01}
-{"index":49,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Embedding Dimensions":1024,"Max Tokens":512,"Average":65.82,"AmazonReviewsClassification (fr)":37.97,"MasakhaNEWSClassification (fra)":80.62,"MassiveIntentClassification (fr)":62.65,"MassiveScenarioClassification (fr)":69.29,"MTOPDomainClassification (fr)":85.74,"MTOPIntentClassification (fr)":58.62}
-{"index":90,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-xl\">sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"Average":65.09,"AmazonReviewsClassification (fr)":43.52,"MasakhaNEWSClassification (fra)":80.09,"MassiveIntentClassification (fr)":60.99,"MassiveScenarioClassification (fr)":66.42,"MTOPDomainClassification (fr)":85.14,"MTOPIntentClassification (fr)":54.39}
-{"index":60,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average":64.94,"AmazonReviewsClassification (fr)":40.94,"MasakhaNEWSClassification (fra)":79.69,"MassiveIntentClassification (fr)":61.32,"MassiveScenarioClassification (fr)":67.37,"MTOPDomainClassification (fr)":84.79,"MTOPIntentClassification (fr)":55.51}
-{"index":87,"Rank":35,"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":76,"Rank":36,"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}
-{"index":41,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Wissam42\/sentence-croissant-llm-base\">sentence-croissant-llm-base<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":64.57,"AmazonReviewsClassification (fr)":34.79,"MasakhaNEWSClassification (fra)":79.29,"MassiveIntentClassification (fr)":59.41,"MassiveScenarioClassification (fr)":65.29,"MTOPDomainClassification (fr)":85.52,"MTOPIntentClassification (fr)":63.12}
-{"index":96,"Rank":38,"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":30,"Rank":39,"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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