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orionweller commited on about 17 hours ago

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1 Parent(s): 95c9850

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 +19 -19
all_data_tasks/11/default.jsonl +20 -20
all_data_tasks/12/default.jsonl +19 -19
all_data_tasks/13/default.jsonl +19 -19
all_data_tasks/2/default.jsonl +0 -0
all_data_tasks/3/default.jsonl +0 -0
all_data_tasks/4/default.jsonl +0 -0
all_data_tasks/40/default.jsonl +30 -29
all_data_tasks/5/default.jsonl +0 -0
all_data_tasks/6/default.jsonl +0 -0
all_data_tasks/8/default.jsonl +22 -22
all_data_tasks/9/default.jsonl +19 -19
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-sts/data_tasks/STS/default.jsonl +30 -29
boards_data/zh/data_overall/default.jsonl +20 -20
boards_data/zh/data_tasks/Classification/default.jsonl +22 -22
boards_data/zh/data_tasks/Clustering/default.jsonl +19 -19
boards_data/zh/data_tasks/PairClassification/default.jsonl +19 -19
boards_data/zh/data_tasks/Reranking/default.jsonl +20 -20
boards_data/zh/data_tasks/Retrieval/default.jsonl +19 -19
boards_data/zh/data_tasks/STS/default.jsonl +19 -19

all_data_tasks/0/default.jsonl CHANGED Viewed

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all_data_tasks/1/default.jsonl CHANGED Viewed

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all_data_tasks/10/default.jsonl CHANGED Viewed

@@ -30,7 +30,7 @@
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 {"index":50,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
 {"index":49,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
-{"index":392,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
 {"index":35,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.62,"Cmnli":85.29,"Ocnli":77.96}
 {"index":57,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
 {"index":62,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
@@ -63,7 +63,7 @@
 {"index":358,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
 {"index":356,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
 {"index":233,"Rank":65,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
-{"index":388,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
 {"index":339,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
 {"index":192,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dumyy\/sft-bge-small\">sft-bge-small<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":67.97,"Cmnli":73.15,"Ocnli":62.79}
 {"index":343,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.58,"Cmnli":73.9,"Ocnli":61.26}
@@ -297,20 +297,20 @@
 {"index":351,"Rank":359,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
 {"index":353,"Rank":360,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
 {"index":355,"Rank":361,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
-{"index":364,"Rank":367,"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":"","Cmnli":"","Ocnli":""}
-{"index":365,"Rank":368,"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":"","Cmnli":"","Ocnli":""}
-{"index":366,"Rank":369,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
-{"index":367,"Rank":370,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
-{"index":368,"Rank":371,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
-{"index":371,"Rank":374,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
-{"index":373,"Rank":376,"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":"","Cmnli":"","Ocnli":""}
-{"index":381,"Rank":384,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zeta-alpha-ai\/Zeta-Alpha-E5-Mistral\">Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","Cmnli":"","Ocnli":""}
-{"index":382,"Rank":385,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":"","Cmnli":"","Ocnli":""}
-{"index":384,"Rank":387,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
-{"index":385,"Rank":388,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
-{"index":386,"Rank":389,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
-{"index":387,"Rank":390,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/introducing-text-and-code-embeddings\">text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average":"","Cmnli":"","Ocnli":""}
-{"index":389,"Rank":391,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":256,"Max Tokens":8191,"Average":"","Cmnli":"","Ocnli":""}
-{"index":390,"Rank":392,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":"","Cmnli":"","Ocnli":""}
-{"index":391,"Rank":393,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":"","Cmnli":"","Ocnli":""}
-{"index":393,"Rank":394,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}

 {"index":26,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
 {"index":50,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
 {"index":49,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
+{"index":393,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":82.35,"Cmnli":85.33,"Ocnli":79.37}
 {"index":35,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":81.62,"Cmnli":85.29,"Ocnli":77.96}
 {"index":57,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
 {"index":62,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
 {"index":358,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/towing\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
 {"index":356,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small-zh\">gte-small-zh<\/a>","Model Size (Million Parameters)":30,"Memory Usage (GB, fp32)":0.11,"Embedding Dimensions":512,"Max Tokens":512,"Average":70.0,"Cmnli":76.46,"Ocnli":63.54}
 {"index":233,"Rank":65,"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,"Embedding Dimensions":1024,"Max Tokens":514,"Average":69.89,"Cmnli":78.18,"Ocnli":61.6}
+{"index":389,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-and-improved-embedding-model\">text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8191,"Average":69.56,"Cmnli":76.04,"Ocnli":63.08}
 {"index":339,"Rank":67,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentosa\/ZNV-Embedding\">ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":68.76,"Cmnli":75.67,"Ocnli":61.85}
 {"index":192,"Rank":68,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dumyy\/sft-bge-small\">sft-bge-small<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":512,"Max Tokens":512,"Average":67.97,"Cmnli":73.15,"Ocnli":62.79}
 {"index":343,"Rank":69,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":67.58,"Cmnli":73.9,"Ocnli":61.26}
 {"index":351,"Rank":359,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base\">gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
 {"index":353,"Rank":360,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
 {"index":355,"Rank":361,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
+{"index":365,"Rank":368,"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":"","Cmnli":"","Ocnli":""}
+{"index":366,"Rank":369,"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":"","Cmnli":"","Ocnli":""}
+{"index":367,"Rank":370,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
+{"index":368,"Rank":371,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
+{"index":369,"Rank":372,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
+{"index":372,"Rank":375,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""}
+{"index":374,"Rank":377,"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":"","Cmnli":"","Ocnli":""}
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all_data_tasks/11/default.jsonl CHANGED Viewed

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@@ -38,7 +38,7 @@
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@@ -52,7 +52,7 @@
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@@ -80,7 +80,7 @@
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@@ -24,10 +24,10 @@
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@@ -79,7 +79,7 @@
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@@ -302,19 +302,19 @@
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all_data_tasks/13/default.jsonl CHANGED Viewed

@@ -21,7 +21,7 @@
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@@ -30,7 +30,7 @@
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@@ -64,7 +64,7 @@
 {"index":69,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.97,"AFQMC":24.51,"ATEC":32.45,"BQ":44.22,"LCQMC":69.16,"PAWSX":14.55,"QBQTC":29.51,"STS22 (zh)":65.94,"STSB":79.45}
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@@ -302,19 +302,19 @@
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@@ -310,32 +310,33 @@
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all_data_tasks/5/default.jsonl CHANGED Viewed

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all_data_tasks/6/default.jsonl CHANGED Viewed

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all_data_tasks/8/default.jsonl CHANGED Viewed

@@ -12,7 +12,7 @@
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@@ -61,7 +61,7 @@
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@@ -301,23 +301,23 @@
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all_data_tasks/9/default.jsonl CHANGED Viewed

@@ -16,7 +16,7 @@
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@@ -59,7 +59,7 @@
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@@ -297,20 +297,20 @@
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@@ -310,32 +310,33 @@
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+{"index":341,"Rank":342,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 (es-en)":"","STS17 (es-es)":"","STS17 (fr-en)":"","STS17 (it-en)":"","STS17 (ko-ko)":"","STS17 (nl-en)":"","STS22 (ar)":"","STS22 (de)":"","STS22 (de-en)":"","STS22 (de-fr)":"","STS22 (de-pl)":"","STS22 (es)":"","STS22 (es-en)":"","STS22 (es-it)":"","STS22 (fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":79.54}

boards_data/zh/data_overall/default.jsonl CHANGED Viewed

@@ -16,7 +16,7 @@
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@@ -59,7 +59,7 @@
 {"index":236,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":2048,"Average (35 datasets)":56.03,"Classification Average (9 datasets)":65.31,"Clustering Average (4 datasets)":42.42,"PairClassification Average (2 datasets)":74.96,"Reranking Average (4 datasets)":56.27,"Retrieval Average (8 datasets)":57.96,"STS Average (8 datasets)":45.6}
 {"index":232,"Rank":60,"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 (35 datasets)":55.92,"Classification Average (9 datasets)":64.23,"Clustering Average (4 datasets)":40.68,"PairClassification Average (2 datasets)":67.07,"Reranking Average (4 datasets)":54.35,"Retrieval Average (8 datasets)":61.63,"STS Average (8 datasets)":46.49}
 {"index":235,"Rank":61,"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 (35 datasets)":55.8,"Classification Average (9 datasets)":64.64,"Clustering Average (4 datasets)":45.26,"PairClassification Average (2 datasets)":66.45,"Reranking Average (4 datasets)":53.86,"Retrieval Average (8 datasets)":59.95,"STS Average (8 datasets)":45.27}
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 {"index":345,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silk-road\/luotuo-bert-medium\">luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":50.12,"Classification Average (9 datasets)":61.0,"Clustering Average (4 datasets)":44.39,"PairClassification Average (2 datasets)":66.64,"Reranking Average (4 datasets)":49.25,"Retrieval Average (8 datasets)":44.4,"STS Average (8 datasets)":42.78}
 {"index":343,"Rank":65,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average (35 datasets)":48.6,"Classification Average (9 datasets)":62.19,"Clustering Average (4 datasets)":37.66,"PairClassification Average (2 datasets)":67.58,"Reranking Average (4 datasets)":49.45,"Retrieval Average (8 datasets)":38.79,"STS Average (8 datasets)":43.41}
@@ -303,21 +303,21 @@
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 {"index":353,"Rank":360,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large\">gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
 {"index":355,"Rank":361,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-small\">gte-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":364,"Rank":367,"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 (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":365,"Rank":368,"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 (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":366,"Rank":369,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed\">b1ade-embed<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":367,"Rank":370,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd\">b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":368,"Rank":371,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/w601sxs\/b1ade-embed-kd_3\">b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":371,"Rank":374,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/wongctroman\/hktv-fine-tuned-cloudy-large-zh-metaphor14\">hktv-fine-tuned-cloudy-large-zh-metaphor14<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":1024,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":66.04,"Retrieval Average (8 datasets)":72.92,"STS Average (8 datasets)":""}
-{"index":372,"Rank":375,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xinming0111\/bge-reranker-base-Q8_0-GGUF\">bge-reranker-base-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":67.03,"Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
-{"index":373,"Rank":376,"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 (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""}
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-{"index":382,"Rank":385,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (35 datasets)":"","Classification Average (9 datasets)":"","Clustering Average (4 datasets)":"","PairClassification Average (2 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":57.91}
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boards_data/zh/data_tasks/Classification/default.jsonl CHANGED Viewed

@@ -12,7 +12,7 @@
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 {"index":73,"Rank":17,"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":72.67,"AmazonReviewsClassification (zh)":51.01,"IFlyTek":52.7,"JDReview":87.65,"MassiveIntentClassification (zh-CN)":75.69,"MassiveScenarioClassification (zh-CN)":78.47,"MultilingualSentiment":75.51,"OnlineShopping":93.09,"TNews":51.99,"Waimai":87.91}
 {"index":80,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/IEITYuan\/Yuan-embedding-1.0\">Yuan-embedding-1.0<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":72.36,"AmazonReviewsClassification (zh)":45.85,"IFlyTek":46.96,"JDReview":87.19,"MassiveIntentClassification (zh-CN)":78.16,"MassiveScenarioClassification (zh-CN)":83.11,"MultilingualSentiment":75.98,"OnlineShopping":93.63,"TNews":51.7,"Waimai":88.7}
@@ -61,7 +61,7 @@
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 {"index":232,"Rank":67,"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":64.23,"AmazonReviewsClassification (zh)":38.34,"IFlyTek":44.93,"JDReview":76.21,"MassiveIntentClassification (zh-CN)":63.22,"MassiveScenarioClassification (zh-CN)":70.24,"MultilingualSentiment":65.28,"OnlineShopping":88.4,"TNews":47.06,"Waimai":84.42}
@@ -301,23 +301,23 @@
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boards_data/zh/data_tasks/Clustering/default.jsonl CHANGED Viewed

@@ -16,7 +16,7 @@
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@@ -59,7 +59,7 @@
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@@ -297,20 +297,20 @@
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@@ -52,7 +52,7 @@
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@@ -80,7 +80,7 @@
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@@ -79,7 +79,7 @@
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@@ -302,19 +302,19 @@
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+{"index":394,"Rank":395,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/www.elastic.co\/guide\/en\/machine-learning\/current\/ml-nlp-elser.html\">elser-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":30522,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}

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

@@ -21,7 +21,7 @@
 {"index":17,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gme-Qwen2-VL-2B-Instruct\">gme-Qwen2-VL-2B-Instruct<\/a>","Model Size (Million Parameters)":2209,"Memory Usage (GB, fp32)":8.23,"Embedding Dimensions":1536,"Max Tokens":32768,"Average":61.94,"AFQMC":67.55,"ATEC":54.03,"BQ":77.72,"LCQMC":72.8,"PAWSX":46.87,"QBQTC":31.82,"STS22 (zh)":67.87,"STSB":76.83}
 {"index":80,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/IEITYuan\/Yuan-embedding-1.0\">Yuan-embedding-1.0<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1792,"Max Tokens":512,"Average":61.64,"AFQMC":60.3,"ATEC":58.5,"BQ":73.07,"LCQMC":78.44,"PAWSX":36.62,"QBQTC":38.36,"STS22 (zh)":65.93,"STSB":81.92}
 {"index":20,"Rank":23,"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":60.96,"AFQMC":58.42,"ATEC":55.65,"BQ":73.85,"LCQMC":75.39,"PAWSX":42.46,"QBQTC":35.15,"STS22 (zh)":67.4,"STSB":79.4}
-{"index":392,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":60.07,"AFQMC":50.8,"ATEC":53.23,"BQ":66.49,"LCQMC":76.6,"PAWSX":47.56,"QBQTC":39.96,"STS22 (zh)":65.78,"STSB":80.14}
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@@ -30,7 +30,7 @@
 {"index":128,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.41,"AFQMC":54.73,"ATEC":55.13,"BQ":64.89,"LCQMC":75.12,"PAWSX":37.93,"QBQTC":34.21,"STS22 (zh)":64.54,"STSB":80.72}
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-{"index":382,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/zhou-xl\/bi-cse\">bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":57.91,"AFQMC":43.45,"ATEC":48.01,"BQ":65.58,"LCQMC":75.56,"PAWSX":47.62,"QBQTC":40.43,"STS22 (zh)":67.24,"STSB":75.38}
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@@ -64,7 +64,7 @@
 {"index":69,"Rank":64,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":44.97,"AFQMC":24.51,"ATEC":32.45,"BQ":44.22,"LCQMC":69.16,"PAWSX":14.55,"QBQTC":29.51,"STS22 (zh)":65.94,"STSB":79.45}
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 {"index":343,"Rank":66,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":43.41,"AFQMC":26.06,"ATEC":31.93,"BQ":42.67,"LCQMC":70.16,"PAWSX":17.21,"QBQTC":24.62,"STS22 (zh)":55.35,"STSB":79.3}
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@@ -302,19 +302,19 @@
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