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EXTERNAL_MODEL_RESULTS.json +0 -0
all_data_tasks/0/default.jsonl +1 -1
all_data_tasks/33/default.jsonl +25 -25
all_data_tasks/34/default.jsonl +2 -2
all_data_tasks/36/default.jsonl +25 -25
all_data_tasks/37/default.jsonl +25 -25
all_data_tasks/38/default.jsonl +25 -25
all_data_tasks/39/default.jsonl +25 -52
all_data_tasks/40/default.jsonl +0 -0
all_data_tasks/41/default.jsonl +0 -0
all_data_tasks/42/default.jsonl +0 -0
all_data_tasks/43/default.jsonl +36 -14
all_data_tasks/44/default.jsonl +13 -0
boards_data/bright/data_tasks/Retrieval/default.jsonl +4 -5
boards_data/en/data_tasks/Classification/default.jsonl +1 -1
boards_data/ru/data_overall/default.jsonl +25 -25
boards_data/ru/data_tasks/Classification/default.jsonl +25 -25
boards_data/ru/data_tasks/Clustering/default.jsonl +2 -2
boards_data/ru/data_tasks/MultilabelClassification/default.jsonl +25 -0
boards_data/ru/data_tasks/Reranking/default.jsonl +25 -25
boards_data/ru/data_tasks/Retrieval/default.jsonl +25 -25
boards_data/ru/data_tasks/STS/default.jsonl +25 -25
config.yaml +13 -0
refresh.py +5 -1

EXTERNAL_MODEL_RESULTS.json CHANGED Viewed

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all_data_tasks/0/default.jsonl CHANGED Viewed

@@ -205,7 +205,7 @@
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 {"index":107,"Rank":238,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/LLaMA-embeeding\">LLaMA-embeeding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AmazonCounterfactualClassification (en)":84.82,"AmazonPolarityClassification":76.88,"AmazonReviewsClassification (en)":36.72,"Banking77Classification":"","EmotionClassification":41.93,"ImdbClassification":"","MassiveIntentClassification (en)":65.91,"MassiveScenarioClassification (en)":67.62,"MTOPDomainClassification (en)":87.95,"MTOPIntentClassification (en)":78.43,"ToxicConversationsClassification":"","TweetSentimentExtractionClassification":56.28}
 {"index":108,"Rank":239,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Shimin\/yiyouliao\">yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","AmazonCounterfactualClassification (en)":74.78,"AmazonPolarityClassification":71.89,"AmazonReviewsClassification (en)":36.7,"Banking77Classification":81.37,"EmotionClassification":42.6,"ImdbClassification":63.96,"MassiveIntentClassification (en)":68.56,"MassiveScenarioClassification (en)":74.15,"MTOPDomainClassification (en)":90.19,"MTOPIntentClassification (en)":69.5,"ToxicConversationsClassification":69.85,"TweetSentimentExtractionClassification":""}
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 {"index":142,"Rank":249,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":"","AmazonCounterfactualClassification (en)":"","AmazonPolarityClassification":"","AmazonReviewsClassification (en)":"","Banking77Classification":"","EmotionClassification":"","ImdbClassification":"","MassiveIntentClassification (en)":60.48,"MassiveScenarioClassification (en)":65.43,"MTOPDomainClassification (en)":"","MTOPIntentClassification (en)":"","ToxicConversationsClassification":"","TweetSentimentExtractionClassification":""}
 {"index":212,"Rank":272,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/mukaj\/fin-mpnet-base\">fin-mpnet-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":"","AmazonCounterfactualClassification (en)":"","AmazonPolarityClassification":"","AmazonReviewsClassification (en)":29.13,"Banking77Classification":80.25,"EmotionClassification":"","ImdbClassification":"","MassiveIntentClassification (en)":"","MassiveScenarioClassification (en)":"","MTOPDomainClassification (en)":"","MTOPIntentClassification (en)":"","ToxicConversationsClassification":"","TweetSentimentExtractionClassification":""}

all_data_tasks/33/default.jsonl CHANGED Viewed

@@ -1,25 +1,25 @@
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-{"index":4,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/ru-en-RoSBERTa\">ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Average":60.84,"GeoreviewClassification (rus-Cyrl)":49.7,"HeadlineClassification (rus-Cyrl)":78.0,"InappropriatenessClassification (rus-Cyrl)":61.32,"KinopoiskClassification (rus-Cyrl)":63.27,"RuReviewsClassification (rus-Cyrl)":67.96,"RuSciBenchGRNTIClassification (rus-Cyrl)":59.33,"RuSciBenchOECDClassification (rus-Cyrl)":46.33}
-{"index":11,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":59.36,"GeoreviewClassification (rus-Cyrl)":50.98,"HeadlineClassification (rus-Cyrl)":70.09,"InappropriatenessClassification (rus-Cyrl)":60.76,"KinopoiskClassification (rus-Cyrl)":63.33,"RuReviewsClassification (rus-Cyrl)":68.52,"RuSciBenchGRNTIClassification (rus-Cyrl)":57.67,"RuSciBenchOECDClassification (rus-Cyrl)":44.2}
-{"index":15,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":58.92,"GeoreviewClassification (rus-Cyrl)":49.69,"HeadlineClassification (rus-Cyrl)":77.19,"InappropriatenessClassification (rus-Cyrl)":61.6,"KinopoiskClassification (rus-Cyrl)":56.59,"RuReviewsClassification (rus-Cyrl)":65.28,"RuSciBenchGRNTIClassification (rus-Cyrl)":58.2,"RuSciBenchOECDClassification (rus-Cyrl)":43.91}
-{"index":10,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":57.86,"GeoreviewClassification (rus-Cyrl)":47.23,"HeadlineClassification (rus-Cyrl)":74.88,"InappropriatenessClassification (rus-Cyrl)":61.94,"KinopoiskClassification (rus-Cyrl)":55.69,"RuReviewsClassification (rus-Cyrl)":66.44,"RuSciBenchGRNTIClassification (rus-Cyrl)":55.55,"RuSciBenchOECDClassification (rus-Cyrl)":43.28}
-{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":57.43,"GeoreviewClassification (rus-Cyrl)":48.27,"HeadlineClassification (rus-Cyrl)":70.32,"InappropriatenessClassification (rus-Cyrl)":59.87,"KinopoiskClassification (rus-Cyrl)":58.23,"RuReviewsClassification (rus-Cyrl)":66.91,"RuSciBenchGRNTIClassification (rus-Cyrl)":55.81,"RuSciBenchOECDClassification (rus-Cyrl)":42.57}
-{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":56.55,"GeoreviewClassification (rus-Cyrl)":46.04,"HeadlineClassification (rus-Cyrl)":69.98,"InappropriatenessClassification (rus-Cyrl)":61.39,"KinopoiskClassification (rus-Cyrl)":53.59,"RuReviewsClassification (rus-Cyrl)":64.58,"RuSciBenchGRNTIClassification (rus-Cyrl)":56.67,"RuSciBenchOECDClassification (rus-Cyrl)":43.58}
-{"index":14,"Rank":8,"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,"Average":56.19,"GeoreviewClassification (rus-Cyrl)":46.05,"HeadlineClassification (rus-Cyrl)":75.64,"InappropriatenessClassification (rus-Cyrl)":58.78,"KinopoiskClassification (rus-Cyrl)":50.89,"RuReviewsClassification (rus-Cyrl)":62.99,"RuSciBenchGRNTIClassification (rus-Cyrl)":56.28,"RuSciBenchOECDClassification (rus-Cyrl)":42.69}
-{"index":5,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":55.44,"GeoreviewClassification (rus-Cyrl)":39.67,"HeadlineClassification (rus-Cyrl)":77.19,"InappropriatenessClassification (rus-Cyrl)":64.64,"KinopoiskClassification (rus-Cyrl)":50.33,"RuReviewsClassification (rus-Cyrl)":58.29,"RuSciBenchGRNTIClassification (rus-Cyrl)":54.19,"RuSciBenchOECDClassification (rus-Cyrl)":43.8}
-{"index":6,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_nlu_ru\">sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":55.21,"GeoreviewClassification (rus-Cyrl)":39.97,"HeadlineClassification (rus-Cyrl)":79.26,"InappropriatenessClassification (rus-Cyrl)":62.52,"KinopoiskClassification (rus-Cyrl)":49.51,"RuReviewsClassification (rus-Cyrl)":58.27,"RuSciBenchGRNTIClassification (rus-Cyrl)":53.9,"RuSciBenchOECDClassification (rus-Cyrl)":43.04}
-{"index":16,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":55.09,"GeoreviewClassification (rus-Cyrl)":44.66,"HeadlineClassification (rus-Cyrl)":73.94,"InappropriatenessClassification (rus-Cyrl)":59.16,"KinopoiskClassification (rus-Cyrl)":49.96,"RuReviewsClassification (rus-Cyrl)":61.18,"RuSciBenchGRNTIClassification (rus-Cyrl)":54.99,"RuSciBenchOECDClassification (rus-Cyrl)":41.72}
-{"index":12,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":54.23,"GeoreviewClassification (rus-Cyrl)":40.19,"HeadlineClassification (rus-Cyrl)":78.75,"InappropriatenessClassification (rus-Cyrl)":61.33,"KinopoiskClassification (rus-Cyrl)":48.78,"RuReviewsClassification (rus-Cyrl)":55.66,"RuSciBenchGRNTIClassification (rus-Cyrl)":53.53,"RuSciBenchOECDClassification (rus-Cyrl)":41.34}
-{"index":22,"Rank":13,"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,"Average":54.11,"GeoreviewClassification (rus-Cyrl)":42.33,"HeadlineClassification (rus-Cyrl)":70.35,"InappropriatenessClassification (rus-Cyrl)":59.32,"KinopoiskClassification (rus-Cyrl)":44.31,"RuReviewsClassification (rus-Cyrl)":62.33,"RuSciBenchGRNTIClassification (rus-Cyrl)":56.01,"RuSciBenchOECDClassification (rus-Cyrl)":44.14}
-{"index":24,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":53.46,"GeoreviewClassification (rus-Cyrl)":41.36,"HeadlineClassification (rus-Cyrl)":68.9,"InappropriatenessClassification (rus-Cyrl)":59.11,"KinopoiskClassification (rus-Cyrl)":50.47,"RuReviewsClassification (rus-Cyrl)":60.66,"RuSciBenchGRNTIClassification (rus-Cyrl)":52.93,"RuSciBenchOECDClassification (rus-Cyrl)":40.79}
-{"index":7,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":52.73,"GeoreviewClassification (rus-Cyrl)":40.89,"HeadlineClassification (rus-Cyrl)":68.75,"InappropriatenessClassification (rus-Cyrl)":58.48,"KinopoiskClassification (rus-Cyrl)":49.85,"RuReviewsClassification (rus-Cyrl)":58.01,"RuSciBenchGRNTIClassification (rus-Cyrl)":52.8,"RuSciBenchOECDClassification (rus-Cyrl)":40.36}
-{"index":17,"Rank":16,"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,"Average":52.35,"GeoreviewClassification (rus-Cyrl)":40.86,"HeadlineClassification (rus-Cyrl)":68.75,"InappropriatenessClassification (rus-Cyrl)":58.52,"KinopoiskClassification (rus-Cyrl)":46.77,"RuReviewsClassification (rus-Cyrl)":58.01,"RuSciBenchGRNTIClassification (rus-Cyrl)":53.04,"RuSciBenchOECDClassification (rus-Cyrl)":40.48}
-{"index":1,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":52.16,"GeoreviewClassification (rus-Cyrl)":38.95,"HeadlineClassification (rus-Cyrl)":75.59,"InappropriatenessClassification (rus-Cyrl)":60.68,"KinopoiskClassification (rus-Cyrl)":49.67,"RuReviewsClassification (rus-Cyrl)":54.05,"RuSciBenchGRNTIClassification (rus-Cyrl)":48.53,"RuSciBenchOECDClassification (rus-Cyrl)":37.65}
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all_data_tasks/34/default.jsonl CHANGED Viewed

@@ -11,8 +11,8 @@
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all_data_tasks/36/default.jsonl CHANGED Viewed

@@ -1,25 +1,25 @@
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@@ -1,14 +1,36 @@
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-{"index":7,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":20.43,"BrightRetrieval (aops)":8.91,"BrightRetrieval (biology)":25.04,"BrightRetrieval (earth_science)":32.77,"BrightRetrieval (economics)":19.0,"BrightRetrieval (leetcode)":29.85,"BrightRetrieval (pony)":21.98,"BrightRetrieval (psychology)":19.92,"BrightRetrieval (robotics)":17.31,"BrightRetrieval (stackoverflow)":11.62,"BrightRetrieval (sustainable_living)":18.04,"BrightRetrieval (theoremqa_questions)":23.34,"BrightRetrieval (theoremqa_theorems)":17.41}
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all_data_tasks/44/default.jsonl ADDED Viewed

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boards_data/bright/data_tasks/Retrieval/default.jsonl CHANGED Viewed

@@ -5,10 +5,9 @@
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boards_data/ru/data_tasks/Classification/default.jsonl CHANGED Viewed

@@ -1,25 +1,25 @@
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+{"index":4,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/ru-en-RoSBERTa\">ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Average":"","GeoreviewClassification (rus-Cyrl)":49.7,"HeadlineClassification (rus-Cyrl)":78.0,"InappropriatenessClassification (rus-Cyrl)":61.32,"KinopoiskClassification (rus-Cyrl)":63.27,"RuReviewsClassification (rus-Cyrl)":67.96,"RuSciBenchGRNTIClassification (rus-Cyrl)":59.33,"RuSciBenchOECDClassification (rus-Cyrl)":46.33,"MassiveIntentClassification (rus-Cyrl)":"","MassiveScenarioClassification (rus-Cyrl)":""}

boards_data/ru/data_tasks/Clustering/default.jsonl CHANGED Viewed

@@ -11,8 +11,8 @@
 {"index":14,"Rank":11,"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,"Average":50.27,"GeoreviewClusteringP2P (rus-Cyrl)":54.46,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.56,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.78}
 {"index":24,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":49.57,"GeoreviewClusteringP2P (rus-Cyrl)":59.71,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":47.55,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.44}
 {"index":22,"Rank":13,"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,"Average":49.18,"GeoreviewClusteringP2P (rus-Cyrl)":56.18,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":48.47,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":42.9}
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-{"index":21,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":47.75,"GeoreviewClusteringP2P (rus-Cyrl)":53.35,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":48.22,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.68}
 {"index":7,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":46.84,"GeoreviewClusteringP2P (rus-Cyrl)":51.89,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":47.48,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.16}
 {"index":3,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":43.13,"GeoreviewClusteringP2P (rus-Cyrl)":41.82,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":46.29,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.28}
 {"index":12,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":42.92,"GeoreviewClusteringP2P (rus-Cyrl)":58.79,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":36.66,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":33.31}

 {"index":14,"Rank":11,"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,"Average":50.27,"GeoreviewClusteringP2P (rus-Cyrl)":54.46,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.56,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.78}
 {"index":24,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":49.57,"GeoreviewClusteringP2P (rus-Cyrl)":59.71,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":47.55,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.44}
 {"index":22,"Rank":13,"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,"Average":49.18,"GeoreviewClusteringP2P (rus-Cyrl)":56.18,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":48.47,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":42.9}
+{"index":21,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":47.75,"GeoreviewClusteringP2P (rus-Cyrl)":53.35,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":48.22,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.68}
+{"index":17,"Rank":15,"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,"Average":47.75,"GeoreviewClusteringP2P (rus-Cyrl)":52.19,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":49.09,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.97}
 {"index":7,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":46.84,"GeoreviewClusteringP2P (rus-Cyrl)":51.89,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":47.48,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.16}
 {"index":3,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":43.13,"GeoreviewClusteringP2P (rus-Cyrl)":41.82,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":46.29,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.28}
 {"index":12,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":42.92,"GeoreviewClusteringP2P (rus-Cyrl)":58.79,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":36.66,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":33.31}

boards_data/ru/data_tasks/MultilabelClassification/default.jsonl ADDED Viewed

	@@ -0,0 +1,25 @@

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+{"index":10,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":36.98,"CEDRClassification (rus-Cyrl)":46.47,"SensitiveTopicsClassification (rus-Cyrl)":27.5}
+{"index":23,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":36.32,"CEDRClassification (rus-Cyrl)":45.11,"SensitiveTopicsClassification (rus-Cyrl)":27.52}
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+{"index":23,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":"","RiaNewsRetrieval (rus-Cyrl)":69.36,"RuBQRetrieval (rus-Cyrl)":65.71,"MIRACLRetrieval (rus-Cyrl)":""}
+{"index":24,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","RiaNewsRetrieval (rus-Cyrl)":51.27,"RuBQRetrieval (rus-Cyrl)":51.73,"MIRACLRetrieval (rus-Cyrl)":""}

boards_data/ru/data_tasks/STS/default.jsonl CHANGED Viewed

@@ -1,25 +1,25 @@
-{"index":13,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":80.15,"RUParaPhraserSTS (rus-Cyrl)":76.17,"RuSTSBenchmarkSTS (rus-Cyrl)":84.13}
-{"index":11,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":79.85,"RUParaPhraserSTS (rus-Cyrl)":76.36,"RuSTSBenchmarkSTS (rus-Cyrl)":83.35}
-{"index":10,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":77.91,"RUParaPhraserSTS (rus-Cyrl)":73.56,"RuSTSBenchmarkSTS (rus-Cyrl)":82.26}
-{"index":15,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.48,"RUParaPhraserSTS (rus-Cyrl)":71.82,"RuSTSBenchmarkSTS (rus-Cyrl)":83.15}
-{"index":4,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/ru-en-RoSBERTa\">ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Average":77.42,"RUParaPhraserSTS (rus-Cyrl)":76.16,"RuSTSBenchmarkSTS (rus-Cyrl)":78.69}
-{"index":0,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":77.39,"RUParaPhraserSTS (rus-Cyrl)":74.9,"RuSTSBenchmarkSTS (rus-Cyrl)":79.87}
-{"index":23,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":77.37,"RUParaPhraserSTS (rus-Cyrl)":72.97,"RuSTSBenchmarkSTS (rus-Cyrl)":81.77}
-{"index":24,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":75.32,"RUParaPhraserSTS (rus-Cyrl)":72.15,"RuSTSBenchmarkSTS (rus-Cyrl)":78.48}
-{"index":14,"Rank":9,"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,"Average":74.9,"RUParaPhraserSTS (rus-Cyrl)":70.17,"RuSTSBenchmarkSTS (rus-Cyrl)":79.64}
-{"index":16,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":74.27,"RUParaPhraserSTS (rus-Cyrl)":70.46,"RuSTSBenchmarkSTS (rus-Cyrl)":78.08}
-{"index":22,"Rank":11,"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,"Average":74.1,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":82.46}
-{"index":21,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":70.71,"RUParaPhraserSTS (rus-Cyrl)":61.87,"RuSTSBenchmarkSTS (rus-Cyrl)":79.55}
-{"index":7,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":69.6,"RUParaPhraserSTS (rus-Cyrl)":65.87,"RuSTSBenchmarkSTS (rus-Cyrl)":73.32}
-{"index":17,"Rank":14,"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,"Average":69.54,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":73.34}
-{"index":5,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":68.19,"RUParaPhraserSTS (rus-Cyrl)":65.17,"RuSTSBenchmarkSTS (rus-Cyrl)":71.22}
-{"index":9,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny2\">rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":67.28,"RUParaPhraserSTS (rus-Cyrl)":65.14,"RuSTSBenchmarkSTS (rus-Cyrl)":69.43}
-{"index":3,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":66.13,"RUParaPhraserSTS (rus-Cyrl)":66.24,"RuSTSBenchmarkSTS (rus-Cyrl)":66.03}
-{"index":6,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_nlu_ru\">sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":60.44,"RUParaPhraserSTS (rus-Cyrl)":62.06,"RuSTSBenchmarkSTS (rus-Cyrl)":58.82}
-{"index":1,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":58.36,"RUParaPhraserSTS (rus-Cyrl)":55.01,"RuSTSBenchmarkSTS (rus-Cyrl)":61.72}
-{"index":12,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":56.25,"RUParaPhraserSTS (rus-Cyrl)":54.03,"RuSTSBenchmarkSTS (rus-Cyrl)":58.47}
-{"index":8,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":55.78,"RUParaPhraserSTS (rus-Cyrl)":53.41,"RuSTSBenchmarkSTS (rus-Cyrl)":58.16}
-{"index":2,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":51.84,"RUParaPhraserSTS (rus-Cyrl)":49.72,"RuSTSBenchmarkSTS (rus-Cyrl)":53.95}
-{"index":18,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":50.9,"RUParaPhraserSTS (rus-Cyrl)":45.47,"RuSTSBenchmarkSTS (rus-Cyrl)":56.33}
-{"index":19,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":49.74,"RUParaPhraserSTS (rus-Cyrl)":43.93,"RuSTSBenchmarkSTS (rus-Cyrl)":55.56}
-{"index":20,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":48.92,"RUParaPhraserSTS (rus-Cyrl)":42.15,"RuSTSBenchmarkSTS (rus-Cyrl)":55.68}

+{"index":11,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":75.38,"RUParaPhraserSTS (rus-Cyrl)":76.36,"RuSTSBenchmarkSTS (rus-Cyrl)":83.35,"STS22 (rus-Cyrl)":66.42}
+{"index":0,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":73.68,"RUParaPhraserSTS (rus-Cyrl)":74.9,"RuSTSBenchmarkSTS (rus-Cyrl)":79.87,"STS22 (rus-Cyrl)":66.26}
+{"index":10,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":73.07,"RUParaPhraserSTS (rus-Cyrl)":73.56,"RuSTSBenchmarkSTS (rus-Cyrl)":82.26,"STS22 (rus-Cyrl)":63.39}
+{"index":23,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":72.54,"RUParaPhraserSTS (rus-Cyrl)":72.97,"RuSTSBenchmarkSTS (rus-Cyrl)":81.77,"STS22 (rus-Cyrl)":62.89}
+{"index":15,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":71.62,"RUParaPhraserSTS (rus-Cyrl)":71.82,"RuSTSBenchmarkSTS (rus-Cyrl)":83.15,"STS22 (rus-Cyrl)":59.89}
+{"index":24,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":70.23,"RUParaPhraserSTS (rus-Cyrl)":72.15,"RuSTSBenchmarkSTS (rus-Cyrl)":78.48,"STS22 (rus-Cyrl)":60.06}
+{"index":14,"Rank":7,"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,"Average":70.16,"RUParaPhraserSTS (rus-Cyrl)":70.17,"RuSTSBenchmarkSTS (rus-Cyrl)":79.64,"STS22 (rus-Cyrl)":60.67}
+{"index":16,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":69.48,"RUParaPhraserSTS (rus-Cyrl)":70.46,"RuSTSBenchmarkSTS (rus-Cyrl)":78.08,"STS22 (rus-Cyrl)":59.9}
+{"index":22,"Rank":9,"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,"Average":68.98,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":82.46,"STS22 (rus-Cyrl)":58.74}
+{"index":21,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":66.17,"RUParaPhraserSTS (rus-Cyrl)":61.87,"RuSTSBenchmarkSTS (rus-Cyrl)":79.55,"STS22 (rus-Cyrl)":57.08}
+{"index":7,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":65.91,"RUParaPhraserSTS (rus-Cyrl)":65.87,"RuSTSBenchmarkSTS (rus-Cyrl)":73.32,"STS22 (rus-Cyrl)":58.53}
+{"index":17,"Rank":12,"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,"Average":65.52,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":73.34,"STS22 (rus-Cyrl)":57.49}
+{"index":5,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":64.4,"RUParaPhraserSTS (rus-Cyrl)":65.17,"RuSTSBenchmarkSTS (rus-Cyrl)":71.22,"STS22 (rus-Cyrl)":56.82}
+{"index":9,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny2\">rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":61.6,"RUParaPhraserSTS (rus-Cyrl)":65.14,"RuSTSBenchmarkSTS (rus-Cyrl)":69.43,"STS22 (rus-Cyrl)":50.23}
+{"index":3,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":61.18,"RUParaPhraserSTS (rus-Cyrl)":66.24,"RuSTSBenchmarkSTS (rus-Cyrl)":66.03,"STS22 (rus-Cyrl)":51.27}
+{"index":6,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_nlu_ru\">sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":57.21,"RUParaPhraserSTS (rus-Cyrl)":62.06,"RuSTSBenchmarkSTS (rus-Cyrl)":58.82,"STS22 (rus-Cyrl)":50.75}
+{"index":1,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":56.2,"RUParaPhraserSTS (rus-Cyrl)":55.01,"RuSTSBenchmarkSTS (rus-Cyrl)":61.72,"STS22 (rus-Cyrl)":51.87}
+{"index":12,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":53.39,"RUParaPhraserSTS (rus-Cyrl)":54.03,"RuSTSBenchmarkSTS (rus-Cyrl)":58.47,"STS22 (rus-Cyrl)":47.67}
+{"index":8,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":53.15,"RUParaPhraserSTS (rus-Cyrl)":53.41,"RuSTSBenchmarkSTS (rus-Cyrl)":58.16,"STS22 (rus-Cyrl)":47.88}
+{"index":2,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":46.22,"RUParaPhraserSTS (rus-Cyrl)":49.72,"RuSTSBenchmarkSTS (rus-Cyrl)":53.95,"STS22 (rus-Cyrl)":34.98}
+{"index":19,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":38.07,"RUParaPhraserSTS (rus-Cyrl)":43.93,"RuSTSBenchmarkSTS (rus-Cyrl)":55.56,"STS22 (rus-Cyrl)":14.72}
+{"index":20,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":37.89,"RUParaPhraserSTS (rus-Cyrl)":42.15,"RuSTSBenchmarkSTS (rus-Cyrl)":55.68,"STS22 (rus-Cyrl)":15.83}
+{"index":18,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":37.66,"RUParaPhraserSTS (rus-Cyrl)":45.47,"RuSTSBenchmarkSTS (rus-Cyrl)":56.33,"STS22 (rus-Cyrl)":11.19}
+{"index":4,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/ru-en-RoSBERTa\">ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Average":"","RUParaPhraserSTS (rus-Cyrl)":76.16,"RuSTSBenchmarkSTS (rus-Cyrl)":78.69,"STS22 (rus-Cyrl)":""}
+{"index":13,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":"","RUParaPhraserSTS (rus-Cyrl)":76.17,"RuSTSBenchmarkSTS (rus-Cyrl)":84.13,"STS22 (rus-Cyrl)":""}

config.yaml CHANGED Viewed

@@ -43,6 +43,11 @@ tasks:
     metric: spearman
     metric_description: "Spearman correlation based on the model's similarity metric (usually cosine)"
     task_description: "Summarization is the task of generating a summary of a text."
   InstructionRetrieval:
     icon: "🔎📋"
     metric: "p-MRR"
@@ -382,6 +387,8 @@ boards:
         - RuReviewsClassification (rus-Cyrl)
         - RuSciBenchGRNTIClassification (rus-Cyrl)
         - RuSciBenchOECDClassification (rus-Cyrl)
       Clustering:
         - GeoreviewClusteringP2P (rus-Cyrl)
         - RuSciBenchGRNTIClusteringP2P (rus-Cyrl)
@@ -390,12 +397,18 @@ boards:
         - TERRa (rus-Cyrl)
       Reranking:
         - RuBQReranking (rus-Cyrl)
       Retrieval:
         - RiaNewsRetrieval (rus-Cyrl)
         - RuBQRetrieval (rus-Cyrl)
       STS:
         - RUParaPhraserSTS (rus-Cyrl)
         - RuSTSBenchmarkSTS (rus-Cyrl)
   se:
     title: Swedish
     language_long: Swedish

     metric: spearman
     metric_description: "Spearman correlation based on the model's similarity metric (usually cosine)"
     task_description: "Summarization is the task of generating a summary of a text."
+  MultilabelClassification:
+    icon: "🏷️"
+    metric: accuracy
+    metric_description: "Accuracy"
+    task_description: "Multilabel classification is the task of assigning multiple labels to a text."
   InstructionRetrieval:
     icon: "🔎📋"
     metric: "p-MRR"
         - RuReviewsClassification (rus-Cyrl)
         - RuSciBenchGRNTIClassification (rus-Cyrl)
         - RuSciBenchOECDClassification (rus-Cyrl)
+        - MassiveIntentClassification (rus-Cyrl)
+        - MassiveScenarioClassification (rus-Cyrl)
       Clustering:
         - GeoreviewClusteringP2P (rus-Cyrl)
         - RuSciBenchGRNTIClusteringP2P (rus-Cyrl)
         - TERRa (rus-Cyrl)
       Reranking:
         - RuBQReranking (rus-Cyrl)
+        - MIRACLReranking (rus-Cyrl)
       Retrieval:
         - RiaNewsRetrieval (rus-Cyrl)
         - RuBQRetrieval (rus-Cyrl)
+        - MIRACLRetrieval (rus-Cyrl)
       STS:
         - RUParaPhraserSTS (rus-Cyrl)
         - RuSTSBenchmarkSTS (rus-Cyrl)
+        - STS22 (rus-Cyrl)
+      MultilabelClassification:
+        - CEDRClassification (rus-Cyrl)
+        - SensitiveTopicsClassification (rus-Cyrl)
   se:
     title: Swedish
     language_long: Swedish

refresh.py CHANGED Viewed

@@ -161,6 +161,8 @@ def filter_metric_external(x, task, metrics) -> bool:
     # This is a hack for the passkey and needle retrieval test, which reports ndcg_at_1 (i.e. accuracy), rather than the ndcg_at_10 that is commonly used for retrieval tasks.
     if x["mteb_dataset_name"] in ["LEMBNeedleRetrieval", "LEMBPasskeyRetrieval"]:
         return bool(x["mteb_task"] == task and x["metric"] == "ndcg_at_1")
     else:
         return bool(x["mteb_task"] == task and x["metric"] in metrics)
@@ -534,7 +536,7 @@ def get_mteb_average(task_dict: dict) -> tuple[Any, dict]:
         rank=False,
     )
     # Debugging:
-    # DATA_OVERALL.to_csv("overall.csv")
     DATA_OVERALL.insert(
         1,
         f"Average ({len(all_tasks)} datasets)",
@@ -608,6 +610,8 @@ def refresh_leaderboard() -> tuple[list, dict]:
         leave=True,
     )
     for board, board_config in pbar_tasks:
         boards_data[board] = {"data_overall": None, "data_tasks": {}}
         pbar_tasks.set_description(f"Fetching leaderboard results for {board!r}")
         pbar_tasks.refresh()

     # This is a hack for the passkey and needle retrieval test, which reports ndcg_at_1 (i.e. accuracy), rather than the ndcg_at_10 that is commonly used for retrieval tasks.
     if x["mteb_dataset_name"] in ["LEMBNeedleRetrieval", "LEMBPasskeyRetrieval"]:
         return bool(x["mteb_task"] == task and x["metric"] == "ndcg_at_1")
+    elif x["mteb_dataset_name"] == "MIRACLReranking":
+        return bool(x["mteb_task"] == task and x["metric"] in ["NDCG@10(MIRACL)"])
     else:
         return bool(x["mteb_task"] == task and x["metric"] in metrics)
         rank=False,
     )
     # Debugging:
+    DATA_OVERALL.to_csv("overall.csv")
     DATA_OVERALL.insert(
         1,
         f"Average ({len(all_tasks)} datasets)",
         leave=True,
     )
     for board, board_config in pbar_tasks:
+        if board == "longembed":
+            pass
         boards_data[board] = {"data_overall": None, "data_tasks": {}}
         pbar_tasks.set_description(f"Fetching leaderboard results for {board!r}")
         pbar_tasks.refresh()