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Automated Leaderboard Update
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orionw committed Sep 24, 2024
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2 changes: 1 addition & 1 deletion all_data_tasks/0/default.jsonl
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{"index":194,"Rank":10,"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":82.58,"AmazonCounterfactualClassification (en)":89.49,"AmazonPolarityClassification":95.38,"AmazonReviewsClassification (en)":49.77,"Banking77Classification":84.08,"EmotionClassification":73.3,"ImdbClassification":91.9,"MassiveIntentClassification (en)":77.61,"MassiveScenarioClassification (en)":84.71,"MTOPDomainClassification (en)":97.49,"MTOPIntentClassification (en)":84.53,"ToxicConversationsClassification":91.29,"TweetSentimentExtractionClassification":71.4}
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2 changes: 1 addition & 1 deletion all_data_tasks/1/default.jsonl
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{"index":305,"Rank":19,"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":49.01,"ArxivClusteringP2P":49.01,"ArxivClusteringS2S":44.45,"BiorxivClusteringP2P":38.03,"BiorxivClusteringS2S":36.53,"MedrxivClusteringP2P":32.7,"MedrxivClusteringS2S":31.27,"RedditClustering":67.84,"RedditClusteringP2P":67.96,"StackExchangeClustering":76.26,"StackExchangeClusteringP2P":36.88,"TwentyNewsgroupsClustering":58.14}
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{"index":233,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/raghavlight\/TDTE\">TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.86,"ArxivClusteringP2P":48.78,"ArxivClusteringS2S":46.11,"BiorxivClusteringP2P":38.79,"BiorxivClusteringS2S":37.37,"MedrxivClusteringP2P":32.73,"MedrxivClusteringS2S":32.33,"RedditClustering":62.16,"RedditClusteringP2P":65.96,"StackExchangeClustering":71.35,"StackExchangeClusteringP2P":36.11,"TwentyNewsgroupsClustering":54.78}
{"index":1,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/cloud.google.com\/vertex-ai\/generative-ai\/docs\/embeddings\/get-text-embeddings#latest_models\">text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":47.48,"ArxivClusteringP2P":46.27,"ArxivClusteringS2S":38.36,"BiorxivClusteringP2P":37.87,"BiorxivClusteringS2S":35.67,"MedrxivClusteringP2P":33.11,"MedrxivClusteringS2S":31.54,"RedditClustering":65.81,"RedditClusteringP2P":66.62,"StackExchangeClustering":74.52,"StackExchangeClusteringP2P":37.63,"TwentyNewsgroupsClustering":54.87}
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1 change: 1 addition & 0 deletions all_data_tasks/10/default.jsonl
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{"index":216,"Rank":241,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","Cmnli":"","Ocnli":""}
{"index":218,"Rank":242,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":"","Cmnli":"","Ocnli":""}
{"index":220,"Rank":243,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","Cmnli":"","Ocnli":""}
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{"index":228,"Rank":248,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","Cmnli":"","Ocnli":""}
{"index":229,"Rank":249,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":"","Cmnli":"","Ocnli":""}
{"index":230,"Rank":250,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""}
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1 change: 1 addition & 0 deletions all_data_tasks/11/default.jsonl
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{"index":216,"Rank":248,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
{"index":218,"Rank":249,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
{"index":220,"Rank":250,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
{"index":221,"Rank":251,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
{"index":228,"Rank":255,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
{"index":229,"Rank":256,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
{"index":230,"Rank":257,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Embedding Dimensions":2048,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""}
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1 change: 1 addition & 0 deletions all_data_tasks/12/default.jsonl
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{"index":216,"Rank":250,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-es\">jina-embeddings-v2-base-es<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Embedding Dimensions":768,"Max Tokens":8192,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
{"index":218,"Rank":251,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-small-en\">jina-embeddings-v2-small-en<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":512,"Max Tokens":8192,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
{"index":220,"Rank":252,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jspringer\/echo-mistral-7b-instruct-lasttoken\">echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
{"index":221,"Rank":253,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jxm\/cde-small-v1\">cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
{"index":224,"Rank":254,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/liujiarik\/lim_base_zh\">lim_base_zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
{"index":228,"Rank":258,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/llmrails\/ember-v1\">ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
{"index":229,"Rank":259,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/bge-m3-custom-fr\">bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""}
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