leaderboard_demo

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orionweller commited on 12 days ago

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Automated Leaderboard Update

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all_data_tasks/0/default.jsonl +0 -0
all_data_tasks/1/default.jsonl +0 -0
all_data_tasks/10/default.jsonl +0 -0
all_data_tasks/11/default.jsonl +0 -0
all_data_tasks/12/default.jsonl +0 -0
all_data_tasks/13/default.jsonl +0 -0
all_data_tasks/2/default.jsonl +0 -0
all_data_tasks/3/default.jsonl +0 -0
all_data_tasks/31/default.jsonl +2 -2
all_data_tasks/33/default.jsonl +2 -2
all_data_tasks/35/default.jsonl +16 -16
all_data_tasks/39/default.jsonl +0 -0
all_data_tasks/4/default.jsonl +0 -0
all_data_tasks/40/default.jsonl +0 -0
all_data_tasks/5/default.jsonl +0 -0
all_data_tasks/6/default.jsonl +0 -0
all_data_tasks/8/default.jsonl +0 -0
all_data_tasks/9/default.jsonl +0 -0
boards_data/en/data_overall/default.jsonl +0 -0
boards_data/en/data_tasks/Classification/default.jsonl +0 -0
boards_data/en/data_tasks/Clustering/default.jsonl +0 -0
boards_data/en/data_tasks/PairClassification/default.jsonl +0 -0
boards_data/en/data_tasks/Reranking/default.jsonl +0 -0
boards_data/en/data_tasks/Retrieval/default.jsonl +0 -0
boards_data/en/data_tasks/STS/default.jsonl +0 -0
boards_data/en/data_tasks/Summarization/default.jsonl +0 -0
boards_data/other-cls/data_tasks/Classification/default.jsonl +0 -0
boards_data/other-sts/data_tasks/STS/default.jsonl +0 -0
boards_data/ru/data_overall/default.jsonl +20 -20
boards_data/ru/data_tasks/Classification/default.jsonl +2 -2
boards_data/ru/data_tasks/PairClassification/default.jsonl +2 -2
boards_data/ru/data_tasks/Retrieval/default.jsonl +16 -16
boards_data/zh/data_overall/default.jsonl +0 -0
boards_data/zh/data_tasks/Classification/default.jsonl +0 -0
boards_data/zh/data_tasks/Clustering/default.jsonl +0 -0
boards_data/zh/data_tasks/PairClassification/default.jsonl +0 -0
boards_data/zh/data_tasks/Reranking/default.jsonl +0 -0
boards_data/zh/data_tasks/Retrieval/default.jsonl +0 -0
boards_data/zh/data_tasks/STS/default.jsonl +0 -0

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@@ -2,8 +2,8 @@
 {"index":10,"Rank":2,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":67.48,"GeoreviewClassification":53.47,"HeadlineClassification":85.66,"InappropriatenessClassification":65.29,"KinopoiskClassification":64.25,"RuReviewsClassification":68.58,"RuSciBenchGRNTIClassification":64.56,"RuSciBenchOECDClassification":51.2,"MassiveIntentClassification (ru)":76.01,"MassiveScenarioClassification (ru)":78.28}
 {"index":35,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":66.31,"GeoreviewClassification":55.9,"HeadlineClassification":86.18,"InappropriatenessClassification":65.53,"KinopoiskClassification":66.12,"RuReviewsClassification":68.56,"RuSciBenchGRNTIClassification":65.07,"RuSciBenchOECDClassification":50.21,"MassiveIntentClassification (ru)":67.6,"MassiveScenarioClassification (ru)":71.59}
 {"index":11,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":65.21,"GeoreviewClassification":52.04,"HeadlineClassification":83.4,"InappropriatenessClassification":64.14,"KinopoiskClassification":63.15,"RuReviewsClassification":68.24,"RuSciBenchGRNTIClassification":61.24,"RuSciBenchOECDClassification":48.1,"MassiveIntentClassification (ru)":68.61,"MassiveScenarioClassification (ru)":77.98}
-{"index":39,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":64.41,"GeoreviewClassification":48.01,"HeadlineClassification":75.08,"InappropriatenessClassification":61.05,"KinopoiskClassification":62.39,"RuReviewsClassification":67.58,"RuSciBenchGRNTIClassification":59.19,"RuSciBenchOECDClassification":45.56,"MassiveIntentClassification (ru)":76.8,"MassiveScenarioClassification (ru)":84.06}
-{"index":22,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":64.41,"GeoreviewClassification":48.01,"HeadlineClassification":75.08,"InappropriatenessClassification":61.05,"KinopoiskClassification":62.39,"RuReviewsClassification":67.58,"RuSciBenchGRNTIClassification":59.19,"RuSciBenchOECDClassification":45.56,"MassiveIntentClassification (ru)":76.8,"MassiveScenarioClassification (ru)":84.06}
 {"index":18,"Rank":7,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":62.74,"GeoreviewClassification":49.7,"HeadlineClassification":78.0,"InappropriatenessClassification":61.32,"KinopoiskClassification":63.27,"RuReviewsClassification":67.96,"RuSciBenchGRNTIClassification":59.33,"RuSciBenchOECDClassification":46.33,"MassiveIntentClassification (ru)":66.97,"MassiveScenarioClassification (ru)":71.8}
 {"index":29,"Rank":8,"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,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":61.92,"GeoreviewClassification":50.98,"HeadlineClassification":70.09,"InappropriatenessClassification":60.76,"KinopoiskClassification":63.33,"RuReviewsClassification":68.52,"RuSciBenchGRNTIClassification":57.67,"RuSciBenchOECDClassification":44.2,"MassiveIntentClassification (ru)":68.85,"MassiveScenarioClassification (ru)":72.9}
 {"index":12,"Rank":9,"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":61.58,"GeoreviewClassification":47.69,"HeadlineClassification":83.46,"InappropriatenessClassification":61.32,"KinopoiskClassification":59.04,"RuReviewsClassification":66.09,"RuSciBenchGRNTIClassification":61.41,"RuSciBenchOECDClassification":48.67,"MassiveIntentClassification (ru)":60.08,"MassiveScenarioClassification (ru)":66.44}

 {"index":10,"Rank":2,"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,"Embedding Dimensions":"","Max Tokens":4096,"Average":67.48,"GeoreviewClassification":53.47,"HeadlineClassification":85.66,"InappropriatenessClassification":65.29,"KinopoiskClassification":64.25,"RuReviewsClassification":68.58,"RuSciBenchGRNTIClassification":64.56,"RuSciBenchOECDClassification":51.2,"MassiveIntentClassification (ru)":76.01,"MassiveScenarioClassification (ru)":78.28}
 {"index":35,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large-instruct\">multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":66.31,"GeoreviewClassification":55.9,"HeadlineClassification":86.18,"InappropriatenessClassification":65.53,"KinopoiskClassification":66.12,"RuReviewsClassification":68.56,"RuSciBenchGRNTIClassification":65.07,"RuSciBenchOECDClassification":50.21,"MassiveIntentClassification (ru)":67.6,"MassiveScenarioClassification (ru)":71.59}
 {"index":11,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":65.21,"GeoreviewClassification":52.04,"HeadlineClassification":83.4,"InappropriatenessClassification":64.14,"KinopoiskClassification":63.15,"RuReviewsClassification":68.24,"RuSciBenchGRNTIClassification":61.24,"RuSciBenchOECDClassification":48.1,"MassiveIntentClassification (ru)":68.61,"MassiveScenarioClassification (ru)":77.98}
+{"index":22,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/arkohut\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":64.41,"GeoreviewClassification":48.01,"HeadlineClassification":75.08,"InappropriatenessClassification":61.05,"KinopoiskClassification":62.39,"RuReviewsClassification":67.58,"RuSciBenchGRNTIClassification":59.19,"RuSciBenchOECDClassification":45.56,"MassiveIntentClassification (ru)":76.8,"MassiveScenarioClassification (ru)":84.06}
+{"index":39,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v3\">jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":64.41,"GeoreviewClassification":48.01,"HeadlineClassification":75.08,"InappropriatenessClassification":61.05,"KinopoiskClassification":62.39,"RuReviewsClassification":67.58,"RuSciBenchGRNTIClassification":59.19,"RuSciBenchOECDClassification":45.56,"MassiveIntentClassification (ru)":76.8,"MassiveScenarioClassification (ru)":84.06}
 {"index":18,"Rank":7,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":62.74,"GeoreviewClassification":49.7,"HeadlineClassification":78.0,"InappropriatenessClassification":61.32,"KinopoiskClassification":63.27,"RuReviewsClassification":67.96,"RuSciBenchGRNTIClassification":59.33,"RuSciBenchOECDClassification":46.33,"MassiveIntentClassification (ru)":66.97,"MassiveScenarioClassification (ru)":71.8}
 {"index":29,"Rank":8,"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,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":61.92,"GeoreviewClassification":50.98,"HeadlineClassification":70.09,"InappropriatenessClassification":60.76,"KinopoiskClassification":63.33,"RuReviewsClassification":68.52,"RuSciBenchGRNTIClassification":57.67,"RuSciBenchOECDClassification":44.2,"MassiveIntentClassification (ru)":68.85,"MassiveScenarioClassification (ru)":72.9}
 {"index":12,"Rank":9,"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":61.58,"GeoreviewClassification":47.69,"HeadlineClassification":83.46,"InappropriatenessClassification":61.32,"KinopoiskClassification":59.04,"RuReviewsClassification":66.09,"RuSciBenchGRNTIClassification":61.41,"RuSciBenchOECDClassification":48.67,"MassiveIntentClassification (ru)":60.08,"MassiveScenarioClassification (ru)":66.44}

all_data_tasks/33/default.jsonl CHANGED Viewed

@@ -18,8 +18,8 @@
 {"index":45,"Rank":18,"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,"TERRa":55.71}
 {"index":25,"Rank":19,"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,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.61}
 {"index":11,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","TERRa":55.57}
-{"index":36,"Rank":21,"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,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
-{"index":15,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
 {"index":33,"Rank":23,"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,"TERRa":54.98}
 {"index":8,"Rank":24,"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,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.17}
 {"index":7,"Rank":25,"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,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.02}

 {"index":45,"Rank":18,"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,"TERRa":55.71}
 {"index":25,"Rank":19,"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,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":55.61}
 {"index":11,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/HIT-TMG\/KaLM-embedding-multilingual-mini-instruct-v1\">KaLM-embedding-multilingual-mini-instruct-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","TERRa":55.57}
+{"index":15,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
+{"index":36,"Rank":22,"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,"Embedding Dimensions":384,"Max Tokens":512,"TERRa":55.14}
 {"index":33,"Rank":23,"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,"TERRa":54.98}
 {"index":8,"Rank":24,"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,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.17}
 {"index":7,"Rank":25,"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,"Embedding Dimensions":768,"Max Tokens":512,"TERRa":53.02}

all_data_tasks/35/default.jsonl CHANGED Viewed

@@ -7,22 +7,22 @@
 {"index":33,"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,"Embedding Dimensions":768,"Max Tokens":514,"Average":67.14,"RiaNewsRetrieval":70.24,"RuBQRetrieval":69.58,"MIRACLRetrieval (ru)":61.6}
 {"index":18,"Rank":8,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":66.51,"RiaNewsRetrieval":78.86,"RuBQRetrieval":66.77,"MIRACLRetrieval (ru)":53.91}
 {"index":12,"Rank":9,"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":66.17,"RiaNewsRetrieval":77.42,"RuBQRetrieval":67.75,"MIRACLRetrieval (ru)":53.33}
-{"index":36,"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,"Embedding Dimensions":384,"Max Tokens":512,"Average":65.85,"RiaNewsRetrieval":70.0,"RuBQRetrieval":68.53,"MIRACLRetrieval (ru)":59.01}
-{"index":59,"Rank":11,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":63.68,"RiaNewsRetrieval":69.36,"RuBQRetrieval":65.71,"MIRACLRetrieval (ru)":55.97}
-{"index":28,"Rank":12,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":56.64,"RiaNewsRetrieval":77.83,"RuBQRetrieval":56.86,"MIRACLRetrieval (ru)":35.22}
-{"index":60,"Rank":13,"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,"Embedding Dimensions":312,"Max Tokens":2048,"Average":46.69,"RiaNewsRetrieval":51.27,"RuBQRetrieval":51.73,"MIRACLRetrieval (ru)":37.07}
-{"index":25,"Rank":14,"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,"Embedding Dimensions":768,"Max Tokens":512,"Average":24.78,"RiaNewsRetrieval":34.73,"RuBQRetrieval":29.03,"MIRACLRetrieval (ru)":10.58}
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@@ -2,26 +2,26 @@
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 {"index":13,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Labib11\/MUG-B-1.6\">MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}
 {"index":15,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Marqo\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (23 datasets)":"","Classification Average (9 datasets)":56.45,"Clustering Average (3 datasets)":51.35,"PairClassification Average (1 datasets)":55.14,"Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":69.48,"MultilabelClassification Average (2 datasets)":31.44}
 {"index":16,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Muennighoff\/SGPT-125M-weightedmean-msmarco-specb-bitfit\">SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average (23 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (3 datasets)":"","PairClassification Average (1 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (3 datasets)":"","STS Average (3 datasets)":"","MultilabelClassification Average (2 datasets)":""}

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 {"index":29,"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,"Embedding Dimensions":1024,"Max Tokens":8192,"Average (23 datasets)":62.58,"Classification Average (9 datasets)":61.92,"Clustering Average (3 datasets)":53.61,"PairClassification Average (1 datasets)":65.07,"Reranking Average (2 datasets)":68.72,"Retrieval Average (3 datasets)":73.63,"STS Average (3 datasets)":75.38,"MultilabelClassification Average (2 datasets)":35.88}
 {"index":18,"Rank":4,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average (23 datasets)":61.77,"Classification Average (9 datasets)":62.74,"Clustering Average (3 datasets)":56.06,"PairClassification Average (1 datasets)":60.79,"Reranking Average (2 datasets)":63.89,"Retrieval Average (3 datasets)":66.51,"STS Average (3 datasets)":73.97,"MultilabelClassification Average (2 datasets)":38.88}
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boards_data/ru/data_tasks/Classification/default.jsonl CHANGED Viewed

@@ -2,8 +2,8 @@
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@@ -18,8 +18,8 @@
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@@ -7,22 +7,22 @@
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