diff --git a/EXTERNAL_MODEL_RESULTS.json b/EXTERNAL_MODEL_RESULTS.json index 8f5f8f1cd7504e37dbe5785eb4f053bceee24602..4448bd3a2fd220a7a560c7014d06b3ce1ad5778a 100644 --- a/EXTERNAL_MODEL_RESULTS.json +++ b/EXTERNAL_MODEL_RESULTS.json @@ -7578,14 +7578,14 @@ "p-MRR": [] } }, - "google-gecko__text-embedding-preview-0409": { + "google-gecko__text-embedding-preview-004": { "BitextMining": { "f1": [] }, "Classification": { "accuracy": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "AmazonCounterfactualClassification (en)": 75.34, "AmazonPolarityClassification": 97.34, "AmazonReviewsClassification (en)": 51.17, @@ -7604,7 +7604,7 @@ "Clustering": { "v_measure": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "ArxivClusteringP2P": 46.27, "ArxivClusteringS2S": 38.36, "BiorxivClusteringP2P": 37.87, @@ -7622,13 +7622,13 @@ "PairClassification": { "max_ap": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "SprintDuplicateQuestions": 96.26, "TwitterSemEval2015": 79.04, "TwitterURLCorpus": 87.53 }, { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "SprintDuplicateQuestions": 96.26, "TwitterSemEval2015": 79.04, "TwitterURLCorpus": 87.53 @@ -7638,7 +7638,7 @@ "Reranking": { "map": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "AskUbuntuDupQuestions": 64.4, "MindSmallReranking": 33.07, "SciDocsRR": 83.59, @@ -7649,7 +7649,7 @@ "Retrieval": { "ndcg_at_10": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "ArguAna": 62.18, "BrightRetrieval (earth_science)": 34.38, "BrightRetrieval (leetcode)": 29.64, @@ -7681,7 +7681,7 @@ ], "recall_at_1": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "BrightRetrieval (economics)": 21.84, "BrightRetrieval (stackoverflow)": 19.23, "BrightRetrieval (pony)": 0.29, @@ -7696,7 +7696,7 @@ "STS": { "cosine_spearman": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "BIOSSES": 89.46, "SICK-R": 81.93, "STS12": 77.59, @@ -7713,7 +7713,7 @@ "Summarization": { "cosine_spearman": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "SummEval": 32.63 } ] @@ -7724,7 +7724,7 @@ "InstructionRetrieval": { "p-MRR": [ { - "Model": "text-embedding-preview-0409", + "Model": "text-embedding-preview-004", "Core17InstructionRetrieval": 5.44, "News21InstructionRetrieval": 3.94, "Robust04InstructionRetrieval": -2.4 @@ -7732,14 +7732,14 @@ ] } }, - "google-gecko__text-embedding-preview-0409-256": { + "google-gecko__text-embedding-preview-004-256": { "BitextMining": { "f1": [] }, "Classification": { "accuracy": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "AmazonCounterfactualClassification (en)": 70.93, "AmazonPolarityClassification": 97.34, "AmazonReviewsClassification (en)": 48.47, @@ -7758,7 +7758,7 @@ "Clustering": { "v_measure": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "ArxivClusteringP2P": 44.12, "ArxivClusteringS2S": 36.54, "BiorxivClusteringP2P": 36.28, @@ -7776,13 +7776,13 @@ "PairClassification": { "max_ap": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "SprintDuplicateQuestions": 96.49, "TwitterSemEval2015": 78.23, "TwitterURLCorpus": 87.04 }, { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "SprintDuplicateQuestions": 96.49, "TwitterSemEval2015": 78.25, "TwitterURLCorpus": 87.12 @@ -7792,7 +7792,7 @@ "Reranking": { "map": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "AskUbuntuDupQuestions": 63.84, "MindSmallReranking": 31.89, "SciDocsRR": 81.62, @@ -7803,7 +7803,7 @@ "Retrieval": { "ndcg_at_10": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "ArguAna": 56.27, "CQADupstackRetrieval": 45.41, "ClimateFEVER": 29.35, @@ -7825,7 +7825,7 @@ "STS": { "cosine_spearman": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "BIOSSES": 89.42, "SICK-R": 81.67, "STS12": 78.02, @@ -7842,7 +7842,7 @@ "Summarization": { "cosine_spearman": [ { - "Model": "text-embedding-preview-0409-256", + "Model": "text-embedding-preview-004-256", "SummEval": 32.36 } ] diff --git a/all_data_tasks/0/default.jsonl b/all_data_tasks/0/default.jsonl index c7bcec2368e25d7b70ee989901177d6db782a2d8..3f7b86dbdf1cb5af17f4333a13617ac356d603ad 100644 --- a/all_data_tasks/0/default.jsonl +++ b/all_data_tasks/0/default.jsonl @@ -10,11 +10,11 @@ {"index":16,"Rank":10,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":82.47,"AmazonCounterfactualClassification (en)":83.99,"AmazonPolarityClassification":96.61,"AmazonReviewsClassification (en)":55.61,"Banking77Classification":87.31,"EmotionClassification":61.37,"ImdbClassification":95.83,"MassiveIntentClassification (en)":82.4,"MassiveScenarioClassification (en)":84.5,"MTOPDomainClassification (en)":97.69,"MTOPIntentClassification (en)":88.76,"ToxicConversationsClassification":82.66,"TweetSentimentExtractionClassification":72.95} {"index":191,"Rank":11,"Model":"cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":81.7,"AmazonCounterfactualClassification (en)":87.01,"AmazonPolarityClassification":94.65,"AmazonReviewsClassification (en)":55.76,"Banking77Classification":88.6,"EmotionClassification":74.86,"ImdbClassification":93.59,"MassiveIntentClassification (en)":76.5,"MassiveScenarioClassification (en)":78.93,"MTOPDomainClassification (en)":96.04,"MTOPIntentClassification (en)":89.13,"ToxicConversationsClassification":72.82,"TweetSentimentExtractionClassification":72.54} {"index":6,"Rank":12,"Model":"voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":81.49,"AmazonCounterfactualClassification (en)":77.6,"AmazonPolarityClassification":96.58,"AmazonReviewsClassification (en)":50.77,"Banking77Classification":86.96,"EmotionClassification":59.81,"ImdbClassification":96.13,"MassiveIntentClassification (en)":81.08,"MassiveScenarioClassification (en)":87.95,"MTOPDomainClassification (en)":98.86,"MTOPIntentClassification (en)":86.97,"ToxicConversationsClassification":83.58,"TweetSentimentExtractionClassification":71.55} -{"index":1,"Rank":13,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":81.17,"AmazonCounterfactualClassification (en)":75.34,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":51.17,"Banking77Classification":88.62,"EmotionClassification":52.51,"ImdbClassification":95.65,"MassiveIntentClassification (en)":80.22,"MassiveScenarioClassification (en)":87.19,"MTOPDomainClassification (en)":98.35,"MTOPIntentClassification (en)":83.43,"ToxicConversationsClassification":89.67,"TweetSentimentExtractionClassification":74.52} +{"index":1,"Rank":13,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":81.17,"AmazonCounterfactualClassification (en)":75.34,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":51.17,"Banking77Classification":88.62,"EmotionClassification":52.51,"ImdbClassification":95.65,"MassiveIntentClassification (en)":80.22,"MassiveScenarioClassification (en)":87.19,"MTOPDomainClassification (en)":98.35,"MTOPIntentClassification (en)":83.43,"ToxicConversationsClassification":89.67,"TweetSentimentExtractionClassification":74.52} {"index":61,"Rank":14,"Model":"Linq-Embed-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.2,"AmazonCounterfactualClassification (en)":84.43,"AmazonPolarityClassification":95.7,"AmazonReviewsClassification (en)":57.64,"Banking77Classification":87.88,"EmotionClassification":51.82,"ImdbClassification":94.78,"MassiveIntentClassification (en)":82.67,"MassiveScenarioClassification (en)":85.01,"MTOPDomainClassification (en)":96.83,"MTOPIntentClassification (en)":89.57,"ToxicConversationsClassification":71.29,"TweetSentimentExtractionClassification":64.76} {"index":15,"Rank":15,"Model":"gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":79.6,"AmazonCounterfactualClassification (en)":83.16,"AmazonPolarityClassification":96.7,"AmazonReviewsClassification (en)":62.17,"Banking77Classification":81.68,"EmotionClassification":54.53,"ImdbClassification":95.58,"MassiveIntentClassification (en)":78.47,"MassiveScenarioClassification (en)":78.19,"MTOPDomainClassification (en)":95.75,"MTOPIntentClassification (en)":84.26,"ToxicConversationsClassification":78.75,"TweetSentimentExtractionClassification":66.0} {"index":9,"Rank":16,"Model":"voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average":79.25,"AmazonCounterfactualClassification (en)":88.31,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":56.25,"Banking77Classification":88.59,"EmotionClassification":50.28,"ImdbClassification":95.75,"MassiveIntentClassification (en)":73.97,"MassiveScenarioClassification (en)":83.99,"MTOPDomainClassification (en)":97.65,"MTOPIntentClassification (en)":75.16,"ToxicConversationsClassification":81.75,"TweetSentimentExtractionClassification":62.98} -{"index":0,"Rank":17,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":79.0,"AmazonCounterfactualClassification (en)":70.93,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":48.47,"Banking77Classification":86.01,"EmotionClassification":51.53,"ImdbClassification":95.7,"MassiveIntentClassification (en)":75.67,"MassiveScenarioClassification (en)":85.16,"MTOPDomainClassification (en)":98.02,"MTOPIntentClassification (en)":77.82,"ToxicConversationsClassification":88.33,"TweetSentimentExtractionClassification":72.97} +{"index":0,"Rank":17,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":79.0,"AmazonCounterfactualClassification (en)":70.93,"AmazonPolarityClassification":97.34,"AmazonReviewsClassification (en)":48.47,"Banking77Classification":86.01,"EmotionClassification":51.53,"ImdbClassification":95.7,"MassiveIntentClassification (en)":75.67,"MassiveScenarioClassification (en)":85.16,"MTOPDomainClassification (en)":98.02,"MTOPIntentClassification (en)":77.82,"ToxicConversationsClassification":88.33,"TweetSentimentExtractionClassification":72.97} {"index":280,"Rank":18,"Model":"Zeta-Alpha-E5-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.77,"AmazonCounterfactualClassification (en)":77.76,"AmazonPolarityClassification":96.62,"AmazonReviewsClassification (en)":59.26,"Banking77Classification":83.11,"EmotionClassification":57.72,"ImdbClassification":95.5,"MassiveIntentClassification (en)":77.31,"MassiveScenarioClassification (en)":79.98,"MTOPDomainClassification (en)":96.35,"MTOPIntentClassification (en)":80.52,"ToxicConversationsClassification":75.88,"TweetSentimentExtractionClassification":65.22} {"index":45,"Rank":19,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":78.65,"AmazonCounterfactualClassification (en)":80.54,"AmazonPolarityClassification":96.64,"AmazonReviewsClassification (en)":59.91,"Banking77Classification":84.44,"EmotionClassification":56.01,"ImdbClassification":95.07,"MassiveIntentClassification (en)":79.1,"MassiveScenarioClassification (en)":80.37,"MTOPDomainClassification (en)":95.37,"MTOPIntentClassification (en)":81.23,"ToxicConversationsClassification":68.81,"TweetSentimentExtractionClassification":66.26} {"index":46,"Rank":20,"Model":"GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":78.53,"AmazonCounterfactualClassification (en)":80.48,"AmazonPolarityClassification":96.32,"AmazonReviewsClassification (en)":57.18,"Banking77Classification":87.46,"EmotionClassification":50.06,"ImdbClassification":94.32,"MassiveIntentClassification (en)":79.72,"MassiveScenarioClassification (en)":81.09,"MTOPDomainClassification (en)":95.29,"MTOPIntentClassification (en)":87.08,"ToxicConversationsClassification":70.89,"TweetSentimentExtractionClassification":62.48} diff --git a/all_data_tasks/1/default.jsonl b/all_data_tasks/1/default.jsonl index 9e214332ee44f9c19a9a8ea7528354fa922c4d07..1f179d20a3826046eb645ebd80b772d600d8de05 100644 --- a/all_data_tasks/1/default.jsonl +++ b/all_data_tasks/1/default.jsonl @@ -20,7 +20,7 @@ {"index":191,"Rank":20,"Model":"cde-small-v1<\/a>","Model Size (Million Parameters)":143,"Memory Usage (GB, fp32)":0.53,"Embedding Dimensions":768,"Max Tokens":512,"Average":48.4,"ArxivClusteringP2P":48.55,"ArxivClusteringS2S":40.59,"BiorxivClusteringP2P":44.78,"BiorxivClusteringS2S":38.16,"MedrxivClusteringP2P":37.5,"MedrxivClusteringS2S":35.73,"RedditClustering":59.36,"RedditClusteringP2P":64.68,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":38.98,"TwentyNewsgroupsClustering":57.42} {"index":19,"Rank":21,"Model":"gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91} {"index":228,"Rank":22,"Model":"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":23,"Model":"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} +{"index":1,"Rank":23,"Model":"text-embedding-preview-004<\/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} {"index":32,"Rank":24,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":47.43,"ArxivClusteringP2P":49.17,"ArxivClusteringS2S":42.18,"BiorxivClusteringP2P":40.96,"BiorxivClusteringS2S":37.25,"MedrxivClusteringP2P":37.41,"MedrxivClusteringS2S":33.39,"RedditClustering":58.46,"RedditClusteringP2P":66.35,"StackExchangeClustering":68.42,"StackExchangeClusteringP2P":37.51,"TwentyNewsgroupsClustering":50.64} {"index":8,"Rank":25,"Model":"voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56} {"index":91,"Rank":26,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":47.1,"ArxivClusteringP2P":46.4,"ArxivClusteringS2S":40.49,"BiorxivClusteringP2P":40.94,"BiorxivClusteringS2S":36.28,"MedrxivClusteringP2P":36.93,"MedrxivClusteringS2S":35.54,"RedditClustering":56.6,"RedditClusteringP2P":64.27,"StackExchangeClustering":66.85,"StackExchangeClusteringP2P":42.46,"TwentyNewsgroupsClustering":51.33} @@ -54,7 +54,7 @@ {"index":66,"Rank":54,"Model":"LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04} {"index":118,"Rank":55,"Model":"kalm-embedding-multilingual-mini<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.22,"ArxivClusteringP2P":47.38,"ArxivClusteringS2S":38.89,"BiorxivClusteringP2P":39.44,"BiorxivClusteringS2S":33.32,"MedrxivClusteringP2P":34.19,"MedrxivClusteringS2S":32.3,"RedditClustering":56.68,"RedditClusteringP2P":64.65,"StackExchangeClustering":66.98,"StackExchangeClusteringP2P":34.35,"TwentyNewsgroupsClustering":49.19} {"index":189,"Rank":56,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average":45.21,"ArxivClusteringP2P":46.66,"ArxivClusteringS2S":39.27,"BiorxivClusteringP2P":38.19,"BiorxivClusteringS2S":34.42,"MedrxivClusteringP2P":34.8,"MedrxivClusteringS2S":32.42,"RedditClustering":55.4,"RedditClusteringP2P":62.87,"StackExchangeClustering":65.66,"StackExchangeClusteringP2P":35.08,"TwentyNewsgroupsClustering":52.49} -{"index":0,"Rank":57,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":45.07,"ArxivClusteringP2P":44.12,"ArxivClusteringS2S":36.54,"BiorxivClusteringP2P":36.28,"BiorxivClusteringS2S":33.09,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":30.84,"RedditClustering":62.24,"RedditClusteringP2P":63.7,"StackExchangeClustering":70.19,"StackExchangeClusteringP2P":36.1,"TwentyNewsgroupsClustering":50.6} +{"index":0,"Rank":57,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max 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5696d4191c4a5c2a4bb690e665dd8bc7a3579358..c3b0417285b2b326dc3068837fa78ba37e0cb8cc 100644 --- a/all_data_tasks/10/default.jsonl +++ b/all_data_tasks/10/default.jsonl @@ -68,8 +68,8 @@ {"index":236,"Rank":68,"Model":"m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":62.84,"Cmnli":65.68,"Ocnli":59.99} {"index":171,"Rank":69,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.52,"Cmnli":61.86,"Ocnli":55.18} {"index":304,"Rank":70,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.7,"Cmnli":57.78,"Ocnli":55.63} -{"index":0,"Rank":71,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max 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diff --git a/all_data_tasks/13/default.jsonl b/all_data_tasks/13/default.jsonl index 8c41d8154dfac9e2c0a22d07fa40ea8fbf546820..6e6256a932a319016eaba9b0c4a3e528197e688a 100644 --- a/all_data_tasks/13/default.jsonl +++ b/all_data_tasks/13/default.jsonl @@ -64,8 +64,8 @@ {"index":49,"Rank":64,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84} {"index":171,"Rank":65,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":36.48,"AFQMC":17.63,"ATEC":26.18,"BQ":37.66,"LCQMC":50.11,"PAWSX":32.75,"QBQTC":24.48,"STS22 (zh)":52.82,"STSB":50.18} {"index":304,"Rank":66,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding 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{"index":151,"Rank":14,"Model":"stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46} -{"index":1,"Rank":15,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53} +{"index":1,"Rank":15,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53} {"index":16,"Rank":16,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max 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{"index":190,"Rank":20,"Model":"echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5} -{"index":0,"Rank":21,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12} +{"index":0,"Rank":21,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12} {"index":45,"Rank":22,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding 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fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":84.97,"BIOSSES":86.4,"SICK-R":84.31,"STS12":78.44,"STS13":88.27,"STS14":84.49,"STS15":90.28,"STS16":87.37,"STS17 (en-en)":92.68,"STS22 (en)":68.62,"STSBenchmark":88.81} -{"index":0,"Rank":12,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":84.93,"BIOSSES":89.42,"SICK-R":81.67,"STS12":78.02,"STS13":90.1,"STS14":85.44,"STS15":89.64,"STS16":87.24,"STS17 (en-en)":90.46,"STS22 (en)":67.99,"STSBenchmark":89.33} +{"index":0,"Rank":12,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":84.93,"BIOSSES":89.42,"SICK-R":81.67,"STS12":78.02,"STS13":90.1,"STS14":85.44,"STS15":89.64,"STS16":87.24,"STS17 (en-en)":90.46,"STS22 (en)":67.99,"STSBenchmark":89.33} {"index":202,"Rank":13,"Model":"mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":84.9,"BIOSSES":88.06,"SICK-R":82.05,"STS12":78.77,"STS13":90.4,"STS14":85.45,"STS15":90.01,"STS16":87.42,"STS17 (en-en)":88.8,"STS22 (en)":68.8,"STSBenchmark":89.2} {"index":228,"Rank":14,"Model":"TDTE<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":84.82,"BIOSSES":87.28,"SICK-R":82.33,"STS12":79.7,"STS13":89.21,"STS14":86.01,"STS15":89.7,"STS16":87.68,"STS17 (en-en)":88.03,"STS22 (en)":70.16,"STSBenchmark":88.15} {"index":91,"Rank":15,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":84.78,"BIOSSES":86.96,"SICK-R":81.73,"STS12":82.57,"STS13":87.15,"STS14":84.97,"STS15":91.05,"STS16":87.31,"STS17 (en-en)":90.03,"STS22 (en)":67.63,"STSBenchmark":88.38} diff --git a/all_data_tasks/6/default.jsonl b/all_data_tasks/6/default.jsonl index 6301827bc70de043f63d134c777663b071cbbce5..af62567d8ab3e0e3b4dc912c214e50f9df4bdc05 100644 --- a/all_data_tasks/6/default.jsonl +++ b/all_data_tasks/6/default.jsonl @@ -1,9 +1,9 @@ {"index":133,"Rank":1,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"SummEval":33.6} {"index":203,"Rank":2,"Model":"mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.71} -{"index":1,"Rank":3,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":32.63} +{"index":1,"Rank":3,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"SummEval":32.63} {"index":163,"Rank":4,"Model":"stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.52} {"index":106,"Rank":5,"Model":"yiyouliao<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":32.47} -{"index":0,"Rank":6,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"SummEval":32.36} +{"index":0,"Rank":6,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"SummEval":32.36} {"index":162,"Rank":7,"Model":"instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.32} {"index":95,"Rank":8,"Model":"Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.17} {"index":56,"Rank":9,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.12} diff --git a/all_data_tasks/8/default.jsonl b/all_data_tasks/8/default.jsonl index 0619948f52267d8e24ce884463b1db1e673e4bed..40b77526d915f807e4fad190cd89f42622827163 100644 --- a/all_data_tasks/8/default.jsonl +++ b/all_data_tasks/8/default.jsonl @@ -73,8 +73,8 @@ {"index":304,"Rank":73,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.04,"AmazonReviewsClassification (zh)":21.96,"IFlyTek":20.35,"JDReview":55.5,"MassiveIntentClassification (zh-CN)":25.39,"MassiveScenarioClassification (zh-CN)":40.35,"MultilingualSentiment":38.94,"OnlineShopping":56.89,"TNews":26.79,"Waimai":56.22} {"index":270,"Rank":74,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.74,"AmazonReviewsClassification (zh)":23.67,"IFlyTek":16.09,"JDReview":59.98,"MassiveIntentClassification (zh-CN)":24.4,"MassiveScenarioClassification (zh-CN)":33.65,"MultilingualSentiment":41.28,"OnlineShopping":57.74,"TNews":20.12,"Waimai":62.72} {"index":269,"Rank":75,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":37.53,"AmazonReviewsClassification (zh)":22.99,"IFlyTek":15.31,"JDReview":59.57,"MassiveIntentClassification (zh-CN)":23.74,"MassiveScenarioClassification (zh-CN)":33.18,"MultilingualSentiment":40.52,"OnlineShopping":58.65,"TNews":20.37,"Waimai":63.48} -{"index":0,"Rank":76,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} -{"index":1,"Rank":77,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} +{"index":0,"Rank":76,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} +{"index":1,"Rank":77,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} {"index":2,"Rank":78,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} {"index":3,"Rank":79,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} {"index":4,"Rank":80,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} diff --git a/all_data_tasks/9/default.jsonl b/all_data_tasks/9/default.jsonl index f604986a43f3b5f100b9a7cf3ec1bd31cba74835..c811104d1d90aa0c83a71f42fa49b50155d78839 100644 --- a/all_data_tasks/9/default.jsonl +++ b/all_data_tasks/9/default.jsonl @@ -67,8 +67,8 @@ {"index":45,"Rank":67,"Model":"sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23} {"index":55,"Rank":68,"Model":"text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14} {"index":304,"Rank":69,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19} -{"index":0,"Rank":70,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} -{"index":1,"Rank":71,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} +{"index":0,"Rank":70,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} +{"index":1,"Rank":71,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} {"index":2,"Rank":72,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} {"index":3,"Rank":73,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} {"index":4,"Rank":74,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} diff --git a/app.py b/app.py index 11f170511cb36f96af5dde3193265c89372b93be..9f2a8a3219909cb1b2b4c10d498529e89cc07ee8 100644 --- a/app.py +++ b/app.py @@ -405,7 +405,7 @@ block.launch() # print("','".join(list(MODEL_META['model_meta'].keys()))) # print("','".join([x['link'].split("co/")[-1] for x in MODEL_META['model_meta'].values() if (x.get('link', None)) and ("huggingface.co" in x['link'])])) # from envs import API; print("','".join([x.modelId for x in list(API.list_models(filter="mteb")) if x.modelId not in UNUSED])) -UNUSED = ['michaelfeil/ct2fast-e5-large-v2','McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse','newsrx/instructor-xl','sionic-ai/sionic-ai-v1','lsf1000/bge-evaluation','Intel/bge-small-en-v1.5-sst2','newsrx/instructor-xl-newsrx','McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse','McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse','davidpeer/gte-small','goldenrooster/multilingual-e5-large','kozistr/fused-large-en','mixamrepijey/instructor-small','McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised','DecisionOptimizationSystem/DeepFeatEmbeddingLargeContext','Intel/bge-base-en-v1.5-sst2-int8-dynamic','morgendigital/multilingual-e5-large-quantized','BAAI/bge-small-en','ggrn/e5-small-v2','vectoriseai/gte-small','giulio98/placeholder','odunola/UAE-Large-VI','vectoriseai/e5-large-v2','gruber/e5-small-v2-ggml','Severian/nomic','arcdev/e5-mistral-7b-instruct','mlx-community/multilingual-e5-base-mlx','michaelfeil/ct2fast-bge-base-en-v1.5','Intel/bge-small-en-v1.5-sst2-int8-static','jncraton/stella-base-en-v2-ct2-int8','vectoriseai/multilingual-e5-large','rlsChapters/Chapters-SFR-Embedding-Mistral','arcdev/SFR-Embedding-Mistral','McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised','McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised','vectoriseai/gte-base','mixamrepijey/instructor-models','GovCompete/e5-large-v2','ef-zulla/e5-multi-sml-torch','khoa-klaytn/bge-small-en-v1.5-angle','krilecy/e5-mistral-7b-instruct','vectoriseai/bge-base-en-v1.5','vectoriseai/instructor-base','jingyeom/korean_embedding_model','rizki/bgr-tf','barisaydin/bge-base-en','jamesgpt1/zzz','Malmuk1/e5-large-v2_Sharded','vectoriseai/ember-v1','Consensus/instructor-base','barisaydin/bge-small-en','barisaydin/gte-base','woody72/multilingual-e5-base','Einas/einas_ashkar','michaelfeil/ct2fast-bge-large-en-v1.5','vectoriseai/bge-small-en-v1.5','iampanda/Test','cherubhao/yogamodel','ieasybooks/multilingual-e5-large-onnx','jncraton/e5-small-v2-ct2-int8','radames/e5-large','khoa-klaytn/bge-base-en-v1.5-angle','Intel/bge-base-en-v1.5-sst2-int8-static','vectoriseai/e5-large','TitanML/jina-v2-base-en-embed','Koat/gte-tiny','binqiangliu/EmbeddingModlebgelargeENv1.5','beademiguelperez/sentence-transformers-multilingual-e5-small','sionic-ai/sionic-ai-v2','jamesdborin/jina-v2-base-en-embed','maiyad/multilingual-e5-small','dmlls/all-mpnet-base-v2','odunola/e5-base-v2','vectoriseai/bge-large-en-v1.5','vectoriseai/bge-small-en','karrar-alwaili/UAE-Large-V1','t12e/instructor-base','Frazic/udever-bloom-3b-sentence','Geolumina/instructor-xl','hsikchi/dump','recipe/embeddings','michaelfeil/ct2fast-bge-small-en-v1.5','ildodeltaRule/multilingual-e5-large','shubham-bgi/UAE-Large','BAAI/bge-large-en','michaelfeil/ct2fast-e5-small-v2','cgldo/semanticClone','barisaydin/gte-small','aident-ai/bge-base-en-onnx','jamesgpt1/english-large-v1','michaelfeil/ct2fast-e5-small','baseplate/instructor-large-1','newsrx/instructor-large','Narsil/bge-base-en','michaelfeil/ct2fast-e5-large','mlx-community/multilingual-e5-small-mlx','lightbird-ai/nomic','MaziyarPanahi/GritLM-8x7B-GGUF','newsrx/instructor-large-newsrx','dhairya0907/thenlper-get-large','barisaydin/bge-large-en','jncraton/bge-small-en-ct2-int8','retrainai/instructor-xl','BAAI/bge-base-en','gentlebowl/instructor-large-safetensors','d0rj/e5-large-en-ru','atian-chapters/Chapters-SFR-Embedding-Mistral','Intel/bge-base-en-v1.5-sts-int8-static','Intel/bge-base-en-v1.5-sts-int8-dynamic','jncraton/GIST-small-Embedding-v0-ct2-int8','jncraton/gte-tiny-ct2-int8','d0rj/e5-small-en-ru','vectoriseai/e5-small-v2','SmartComponents/bge-micro-v2','michaelfeil/ct2fast-gte-base','vectoriseai/e5-base-v2','Intel/bge-base-en-v1.5-sst2','McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised','Research2NLP/electrical_stella','weakit-v/bge-base-en-v1.5-onnx','GovCompete/instructor-xl','barisaydin/text2vec-base-multilingual','Intel/bge-small-en-v1.5-sst2-int8-dynamic','jncraton/gte-small-ct2-int8','d0rj/e5-base-en-ru','barisaydin/gte-large','fresha/e5-large-v2-endpoint','vectoriseai/instructor-large','Severian/embed','vectoriseai/e5-base','mlx-community/multilingual-e5-large-mlx','vectoriseai/gte-large','anttip/ct2fast-e5-small-v2-hfie','michaelfeil/ct2fast-gte-large','gizmo-ai/Cohere-embed-multilingual-v3.0','McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse','Kenknight1999/tungdd7_ft_e5','joteqwork/new_gsev0','vantagediscovery/jina-embeddings-v2-base-en','vantagediscovery/nomic-embed-text-v1','vantagediscovery/nomic-embed-text-v1.5','srikanthmalla/hkunlp-instructor-xl','afrideva/GIST-all-MiniLM-L6-v2-GGUF','nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF','agier9/gte-Qwen1.5-7B-instruct-Q5_K_M-GGUF','ekorman-strive/bge-large-en-v1.5','raghavlight/SE_v1','liddlefish/privacyembeddingv2_bge_small','ahmet1338/finetuned_embedder','radia/snowflake-arctic-embed-l-Q4_K_M-GGUF','GregorBiswanger/GritLM-7B-Q4_K_M-GGUF','powermove72/GritLM-7B-Q4_K_M-GGUF','sunzx0810/gte-Qwen2-7B-instruct-Q5_K_M-GGUF','nazimali/gte-Qwen2-7B-instruct-Q6_K-GGUF','nazimali/gte-Qwen2-7B-instruct-Q6_K-GGUF','fishbone64/gte-Qwen2-7B-instruct-Q8_0-GGUF','tobchef/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF','liddlefish/privacy_embedding_rag','liddlefish/privacy_embedding_rag_10k_tmp','liddlefish/privacy_embedding_bge_small_synthetic','mxs980/gte-Qwen2-1.5B-instruct-Q8_0-GGUF','leonn71/gte-Qwen2-1.5B-instruct-Q6_K-GGUF', 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+UNUSED = ['michaelfeil/ct2fast-e5-large-v2','McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-unsup-simcse','newsrx/instructor-xl','sionic-ai/sionic-ai-v1','lsf1000/bge-evaluation','Intel/bge-small-en-v1.5-sst2','newsrx/instructor-xl-newsrx','McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-unsup-simcse','McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-unsup-simcse','davidpeer/gte-small','goldenrooster/multilingual-e5-large','kozistr/fused-large-en','mixamrepijey/instructor-small','McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised','DecisionOptimizationSystem/DeepFeatEmbeddingLargeContext','Intel/bge-base-en-v1.5-sst2-int8-dynamic','morgendigital/multilingual-e5-large-quantized','BAAI/bge-small-en','ggrn/e5-small-v2','vectoriseai/gte-small','giulio98/placeholder','odunola/UAE-Large-VI','vectoriseai/e5-large-v2','gruber/e5-small-v2-ggml','Severian/nomic','arcdev/e5-mistral-7b-instruct','mlx-community/multilingual-e5-base-mlx','michaelfeil/ct2fast-bge-base-en-v1.5','Intel/bge-small-en-v1.5-sst2-int8-static','jncraton/stella-base-en-v2-ct2-int8','vectoriseai/multilingual-e5-large','rlsChapters/Chapters-SFR-Embedding-Mistral','arcdev/SFR-Embedding-Mistral','McGill-NLP/LLM2Vec-Mistral-7B-Instruct-v2-mntp-supervised','McGill-NLP/LLM2Vec-Meta-Llama-3-8B-Instruct-mntp-supervised','vectoriseai/gte-base','mixamrepijey/instructor-models','GovCompete/e5-large-v2','ef-zulla/e5-multi-sml-torch','khoa-klaytn/bge-small-en-v1.5-angle','krilecy/e5-mistral-7b-instruct','vectoriseai/bge-base-en-v1.5','vectoriseai/instructor-base','jingyeom/korean_embedding_model','rizki/bgr-tf','barisaydin/bge-base-en','jamesgpt1/zzz','Malmuk1/e5-large-v2_Sharded','vectoriseai/ember-v1','Consensus/instructor-base','barisaydin/bge-small-en','barisaydin/gte-base','woody72/multilingual-e5-base','Einas/einas_ashkar','michaelfeil/ct2fast-bge-large-en-v1.5','vectoriseai/bge-small-en-v1.5','iampanda/Test','cherubhao/yogamodel','ieasybooks/multilingual-e5-large-onnx','jncraton/e5-small-v2-ct2-int8','radames/e5-large','khoa-klaytn/bge-base-en-v1.5-angle','Intel/bge-base-en-v1.5-sst2-int8-static','vectoriseai/e5-large','TitanML/jina-v2-base-en-embed','Koat/gte-tiny','binqiangliu/EmbeddingModlebgelargeENv1.5','beademiguelperez/sentence-transformers-multilingual-e5-small','sionic-ai/sionic-ai-v2','jamesdborin/jina-v2-base-en-embed','maiyad/multilingual-e5-small','dmlls/all-mpnet-base-v2','odunola/e5-base-v2','vectoriseai/bge-large-en-v1.5','vectoriseai/bge-small-en','karrar-alwaili/UAE-Large-V1','t12e/instructor-base','Frazic/udever-bloom-3b-sentence','Geolumina/instructor-xl','hsikchi/dump','recipe/embeddings','michaelfeil/ct2fast-bge-small-en-v1.5','ildodeltaRule/multilingual-e5-large','shubham-bgi/UAE-Large','BAAI/bge-large-en','michaelfeil/ct2fast-e5-small-v2','cgldo/semanticClone','barisaydin/gte-small','aident-ai/bge-base-en-onnx','jamesgpt1/english-large-v1','michaelfeil/ct2fast-e5-small','baseplate/instructor-large-1','newsrx/instructor-large','Narsil/bge-base-en','michaelfeil/ct2fast-e5-large','mlx-community/multilingual-e5-small-mlx','lightbird-ai/nomic','MaziyarPanahi/GritLM-8x7B-GGUF','newsrx/instructor-large-newsrx','dhairya0907/thenlper-get-large','barisaydin/bge-large-en','jncraton/bge-small-en-ct2-int8','retrainai/instructor-xl','BAAI/bge-base-en','gentlebowl/instructor-large-safetensors','d0rj/e5-large-en-ru','atian-chapters/Chapters-SFR-Embedding-Mistral','Intel/bge-base-en-v1.5-sts-int8-static','Intel/bge-base-en-v1.5-sts-int8-dynamic','jncraton/GIST-small-Embedding-v0-ct2-int8','jncraton/gte-tiny-ct2-int8','d0rj/e5-small-en-ru','vectoriseai/e5-small-v2','SmartComponents/bge-micro-v2','michaelfeil/ct2fast-gte-base','vectoriseai/e5-base-v2','Intel/bge-base-en-v1.5-sst2','McGill-NLP/LLM2Vec-Sheared-LLaMA-mntp-supervised','Research2NLP/electrical_stella','weakit-v/bge-base-en-v1.5-onnx','GovCompete/instructor-xl','barisaydin/text2vec-base-multilingual','Intel/bge-small-en-v1.5-sst2-int8-dynamic','jncraton/gte-small-ct2-int8','d0rj/e5-base-en-ru','barisaydin/gte-large','fresha/e5-large-v2-endpoint','vectoriseai/instructor-large','Severian/embed','vectoriseai/e5-base','mlx-community/multilingual-e5-large-mlx','vectoriseai/gte-large','anttip/ct2fast-e5-small-v2-hfie','michaelfeil/ct2fast-gte-large','gizmo-ai/Cohere-embed-multilingual-v3.0','McGill-NLP/LLM2Vec-Llama-2-7b-chat-hf-mntp-unsup-simcse','Kenknight1999/tungdd7_ft_e5','joteqwork/new_gsev0','vantagediscovery/jina-embeddings-v2-base-en','vantagediscovery/nomic-embed-text-v1','vantagediscovery/nomic-embed-text-v1.5','srikanthmalla/hkunlp-instructor-xl','afrideva/GIST-all-MiniLM-L6-v2-GGUF','nadeem1362/mxbai-embed-large-v1-Q4_K_M-GGUF','agier9/gte-Qwen1.5-7B-instruct-Q5_K_M-GGUF','ekorman-strive/bge-large-en-v1.5','raghavlight/SE_v1','liddlefish/privacyembeddingv2_bge_small','ahmet1338/finetuned_embedder','radia/snowflake-arctic-embed-l-Q4_K_M-GGUF','GregorBiswanger/GritLM-7B-Q4_K_M-GGUF','powermove72/GritLM-7B-Q4_K_M-GGUF','sunzx0810/gte-Qwen2-7B-instruct-Q5_K_M-GGUF','nazimali/gte-Qwen2-7B-instruct-Q6_K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# Possible changes: # Could add graphs / other visual content diff --git a/boards_data/bright/data_tasks/Retrieval/default.jsonl b/boards_data/bright/data_tasks/Retrieval/default.jsonl index bd042fb453e340fec1dacb57745a756a9aa1a482..c7b2d7a13929b5d8b6a6bad094be4d492638fb96 100644 --- a/boards_data/bright/data_tasks/Retrieval/default.jsonl +++ b/boards_data/bright/data_tasks/Retrieval/default.jsonl @@ -1,7 +1,7 @@ {"index":4,"Rank":1,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":22.89,"BrightRetrieval (aops)":15.1,"BrightRetrieval (biology)":32.09,"BrightRetrieval (earth_science)":40.66,"BrightRetrieval (economics)":16.18,"BrightRetrieval (leetcode)":31.07,"BrightRetrieval (pony)":1.25,"BrightRetrieval (psychology)":26.58,"BrightRetrieval (robotics)":12.82,"BrightRetrieval (stackoverflow)":13.95,"BrightRetrieval (sustainable_living)":20.82,"BrightRetrieval 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@@ -4,7 +4,7 @@ {"index":4,"Rank":4,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Embedding Dimensions":3584,"Max Tokens":32768,"Average":25.96,"BrightRetrieval (biology)":34.87,"BrightRetrieval (earth_science)":38.36,"BrightRetrieval (economics)":27.67,"BrightRetrieval (pony)":1.17,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":10.89,"BrightRetrieval (stackoverflow)":16.67,"BrightRetrieval (sustainable_living)":31.28} {"index":11,"Rank":5,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":25.54,"BrightRetrieval (biology)":29.93,"BrightRetrieval (earth_science)":36.28,"BrightRetrieval (economics)":26.21,"BrightRetrieval (pony)":1.14,"BrightRetrieval (psychology)":46.73,"BrightRetrieval (robotics)":17.33,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":32.21} {"index":1,"Rank":6,"Model":"voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":16000,"Average":24.62,"BrightRetrieval (biology)":34.38,"BrightRetrieval (earth_science)":35.35,"BrightRetrieval (economics)":26.7,"BrightRetrieval (pony)":1.28,"BrightRetrieval (psychology)":41.58,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":13.68,"BrightRetrieval (sustainable_living)":31.1} -{"index":0,"Rank":7,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":22.44,"BrightRetrieval (biology)":30.91,"BrightRetrieval (earth_science)":38.0,"BrightRetrieval (economics)":21.84,"BrightRetrieval (pony)":0.29,"BrightRetrieval (psychology)":30.69,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":19.23,"BrightRetrieval (sustainable_living)":25.65} +{"index":0,"Rank":7,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":22.44,"BrightRetrieval (biology)":30.91,"BrightRetrieval (earth_science)":38.0,"BrightRetrieval (economics)":21.84,"BrightRetrieval (pony)":0.29,"BrightRetrieval (psychology)":30.69,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":19.23,"BrightRetrieval (sustainable_living)":25.65} {"index":13,"Rank":8,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average":21.88,"BrightRetrieval (biology)":33.09,"BrightRetrieval (earth_science)":32.26,"BrightRetrieval (economics)":24.76,"BrightRetrieval (pony)":0.0,"BrightRetrieval (psychology)":35.15,"BrightRetrieval (robotics)":11.88,"BrightRetrieval (stackoverflow)":11.54,"BrightRetrieval (sustainable_living)":26.34} {"index":6,"Rank":9,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":18.4,"BrightRetrieval (biology)":31.47,"BrightRetrieval (earth_science)":35.49,"BrightRetrieval (economics)":17.96,"BrightRetrieval (pony)":0.84,"BrightRetrieval (psychology)":20.5,"BrightRetrieval (robotics)":9.9,"BrightRetrieval (stackoverflow)":15.81,"BrightRetrieval (sustainable_living)":15.23} {"index":9,"Rank":10,"Model":"instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":768,"Max Tokens":512,"Average":18.21,"BrightRetrieval (biology)":24.11,"BrightRetrieval (earth_science)":29.45,"BrightRetrieval (economics)":14.08,"BrightRetrieval (pony)":3.94,"BrightRetrieval (psychology)":21.29,"BrightRetrieval (robotics)":12.87,"BrightRetrieval (stackoverflow)":14.53,"BrightRetrieval (sustainable_living)":25.42} diff --git a/boards_data/en/data_overall/default.jsonl b/boards_data/en/data_overall/default.jsonl index 21232d298601d2499f0aa4e980f9d461fe72b7fb..a0373740f4bd6ed77b6574ef0cd53ad6bb164d2d 100644 --- a/boards_data/en/data_overall/default.jsonl +++ b/boards_data/en/data_overall/default.jsonl @@ -15,7 +15,7 @@ {"index":9,"Rank":15,"Model":"voyage-lite-02-instruct<\/a>","Model Size (Million Parameters)":1220,"Memory Usage (GB, fp32)":4.54,"Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":67.13,"Classification Average (12 datasets)":79.25,"Clustering Average (11 datasets)":52.42,"PairClassification Average (3 datasets)":86.87,"Reranking Average (4 datasets)":58.24,"Retrieval Average (15 datasets)":56.6,"STS Average (10 datasets)":85.79,"Summarization Average (1 datasets)":31.01} {"index":45,"Rank":16,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average (56 datasets)":66.58,"Classification Average (12 datasets)":78.65,"Clustering Average (11 datasets)":50.61,"PairClassification Average (3 datasets)":87.29,"Reranking Average (4 datasets)":60.48,"Retrieval Average (15 datasets)":57.36,"STS Average (10 datasets)":83.35,"Summarization Average (1 datasets)":30.39} {"index":168,"Rank":17,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":66.4,"Classification Average (12 datasets)":77.37,"Clustering Average (11 datasets)":50.26,"PairClassification Average (3 datasets)":88.42,"Reranking Average (4 datasets)":60.21,"Retrieval Average (15 datasets)":56.87,"STS Average (10 datasets)":84.62,"Summarization Average (1 datasets)":31.53} -{"index":1,"Rank":18,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average (56 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Average (12 datasets)":77.17,"Clustering Average (11 datasets)":47.86,"PairClassification Average (3 datasets)":88.27,"Reranking Average (4 datasets)":60.46,"Retrieval Average (15 datasets)":57.05,"STS Average (10 datasets)":84.82,"Summarization Average (1 datasets)":30.83} {"index":46,"Rank":20,"Model":"GritLM-8x7B<\/a>","Model Size (Million Parameters)":46703,"Memory Usage (GB, fp32)":173.98,"Embedding Dimensions":4096,"Max Tokens":32768,"Average (56 datasets)":65.66,"Classification Average (12 datasets)":78.53,"Clustering Average (11 datasets)":50.14,"PairClassification Average (3 datasets)":84.97,"Reranking Average (4 datasets)":59.8,"Retrieval Average (15 datasets)":55.09,"STS Average (10 datasets)":83.26,"Summarization Average (1 datasets)":29.82} {"index":189,"Rank":21,"Model":"jina-embeddings-v3<\/a>","Model Size (Million Parameters)":572,"Memory Usage (GB, fp32)":2.13,"Embedding Dimensions":1024,"Max Tokens":8194,"Average (56 datasets)":65.51,"Classification Average (12 datasets)":82.58,"Clustering Average (11 datasets)":45.21,"PairClassification Average (3 datasets)":84.01,"Reranking Average (4 datasets)":58.13,"Retrieval Average (15 datasets)":53.88,"STS Average (10 datasets)":85.81,"Summarization Average (1 datasets)":29.71} @@ -30,7 +30,7 @@ {"index":8,"Rank":30,"Model":"voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average (56 datasets)":64.49,"Classification Average (12 datasets)":74.79,"Clustering Average (11 datasets)":47.4,"PairClassification Average (3 datasets)":86.57,"Reranking Average (4 datasets)":59.74,"Retrieval Average (15 datasets)":55.58,"STS Average (10 datasets)":82.93,"Summarization Average (1 datasets)":30.97} {"index":32,"Rank":31,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":64.47,"Classification Average 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Tokens":512,"Average":48.4,"ArxivClusteringP2P":48.55,"ArxivClusteringS2S":40.59,"BiorxivClusteringP2P":44.78,"BiorxivClusteringS2S":38.16,"MedrxivClusteringP2P":37.5,"MedrxivClusteringS2S":35.73,"RedditClustering":59.36,"RedditClusteringP2P":64.68,"StackExchangeClustering":66.64,"StackExchangeClusteringP2P":38.98,"TwentyNewsgroupsClustering":57.42} {"index":19,"Rank":21,"Model":"gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":1024,"Max Tokens":8192,"Average":47.96,"ArxivClusteringP2P":48.47,"ArxivClusteringS2S":43.39,"BiorxivClusteringP2P":40.58,"BiorxivClusteringS2S":37.94,"MedrxivClusteringP2P":35.04,"MedrxivClusteringS2S":32.94,"RedditClustering":59.76,"RedditClusteringP2P":68.03,"StackExchangeClustering":71.27,"StackExchangeClusteringP2P":39.18,"TwentyNewsgroupsClustering":50.91} {"index":228,"Rank":22,"Model":"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":23,"Model":"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} +{"index":1,"Rank":23,"Model":"text-embedding-preview-004<\/a>","Model Size (Million 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{"index":8,"Rank":25,"Model":"voyage-lite-01-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":4000,"Average":47.4,"ArxivClusteringP2P":47.92,"ArxivClusteringS2S":42.42,"BiorxivClusteringP2P":38.72,"BiorxivClusteringS2S":36.6,"MedrxivClusteringP2P":34.04,"MedrxivClusteringS2S":32.81,"RedditClustering":61.56,"RedditClusteringP2P":65.35,"StackExchangeClustering":70.16,"StackExchangeClusteringP2P":38.23,"TwentyNewsgroupsClustering":53.56} {"index":91,"Rank":26,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":47.1,"ArxivClusteringP2P":46.4,"ArxivClusteringS2S":40.49,"BiorxivClusteringP2P":40.94,"BiorxivClusteringS2S":36.28,"MedrxivClusteringP2P":36.93,"MedrxivClusteringS2S":35.54,"RedditClustering":56.6,"RedditClusteringP2P":64.27,"StackExchangeClustering":66.85,"StackExchangeClusteringP2P":42.46,"TwentyNewsgroupsClustering":51.33} @@ -54,7 +54,7 @@ {"index":66,"Rank":54,"Model":"LLM2Vec-Llama-2-7b-chat-hf-mntp-supervised<\/a>","Model Size (Million Parameters)":6607,"Memory Usage (GB, fp32)":24.61,"Embedding Dimensions":4096,"Max Tokens":4096,"Average":45.24,"ArxivClusteringP2P":43.14,"ArxivClusteringS2S":42.38,"BiorxivClusteringP2P":35.88,"BiorxivClusteringS2S":34.81,"MedrxivClusteringP2P":32.23,"MedrxivClusteringS2S":31.37,"RedditClustering":61.1,"RedditClusteringP2P":64.52,"StackExchangeClustering":67.98,"StackExchangeClusteringP2P":33.2,"TwentyNewsgroupsClustering":51.04} {"index":118,"Rank":55,"Model":"kalm-embedding-multilingual-mini<\/a>","Model Size (Million 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-{"index":0,"Rank":57,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":45.07,"ArxivClusteringP2P":44.12,"ArxivClusteringS2S":36.54,"BiorxivClusteringP2P":36.28,"BiorxivClusteringS2S":33.09,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":30.84,"RedditClustering":62.24,"RedditClusteringP2P":63.7,"StackExchangeClustering":70.19,"StackExchangeClusteringP2P":36.1,"TwentyNewsgroupsClustering":50.6} +{"index":0,"Rank":57,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":45.07,"ArxivClusteringP2P":44.12,"ArxivClusteringS2S":36.54,"BiorxivClusteringP2P":36.28,"BiorxivClusteringS2S":33.09,"MedrxivClusteringP2P":32.08,"MedrxivClusteringS2S":30.84,"RedditClustering":62.24,"RedditClusteringP2P":63.7,"StackExchangeClustering":70.19,"StackExchangeClusteringP2P":36.1,"TwentyNewsgroupsClustering":50.6} {"index":205,"Rank":58,"Model":"bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":45.06,"ArxivClusteringP2P":48.5,"ArxivClusteringS2S":42.01,"BiorxivClusteringP2P":39.3,"BiorxivClusteringS2S":35.65,"MedrxivClusteringP2P":32.8,"MedrxivClusteringS2S":30.96,"RedditClustering":55.69,"RedditClusteringP2P":62.33,"StackExchangeClustering":64.81,"StackExchangeClusteringP2P":34.08,"TwentyNewsgroupsClustering":49.5} {"index":131,"Rank":59,"Model":"NoInstruct-small-Embedding-v0<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Embedding Dimensions":384,"Max Tokens":512,"Average":44.95,"ArxivClusteringP2P":47.78,"ArxivClusteringS2S":40.13,"BiorxivClusteringP2P":39.4,"BiorxivClusteringS2S":35.1,"MedrxivClusteringP2P":34.71,"MedrxivClusteringS2S":32.15,"RedditClustering":55.4,"RedditClusteringP2P":61.23,"StackExchangeClustering":62.05,"StackExchangeClusteringP2P":36.65,"TwentyNewsgroupsClustering":49.86} {"index":163,"Rank":60,"Model":"stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":512,"Average":44.9,"ArxivClusteringP2P":47.24,"ArxivClusteringS2S":40.47,"BiorxivClusteringP2P":39.56,"BiorxivClusteringS2S":35.91,"MedrxivClusteringP2P":33.25,"MedrxivClusteringS2S":31.96,"RedditClustering":55.07,"RedditClusteringP2P":62.12,"StackExchangeClustering":64.47,"StackExchangeClusteringP2P":33.8,"TwentyNewsgroupsClustering":50.08} diff --git a/boards_data/en/data_tasks/PairClassification/default.jsonl b/boards_data/en/data_tasks/PairClassification/default.jsonl index e00b256826efe7b1eff981a274e4d886ba361635..4fcc82bb4ddbbefc3f587ac6ad56cddc482064d4 100644 --- a/boards_data/en/data_tasks/PairClassification/default.jsonl +++ b/boards_data/en/data_tasks/PairClassification/default.jsonl @@ -12,13 +12,13 @@ {"index":70,"Rank":12,"Model":"LLM2Vec-Mistral-supervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.99,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":80.6,"TwitterURLCorpus":86.56} {"index":68,"Rank":13,"Model":"LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Embedding Dimensions":4096,"Max Tokens":8192,"Average":87.79,"SprintDuplicateQuestions":95.09,"TwitterSemEval2015":81.73,"TwitterURLCorpus":86.56} {"index":151,"Rank":14,"Model":"stella_en_400M_v5<\/a>","Model Size (Million Parameters)":435,"Memory Usage (GB, fp32)":1.62,"Embedding Dimensions":8192,"Max Tokens":8192,"Average":87.74,"SprintDuplicateQuestions":95.59,"TwitterSemEval2015":80.18,"TwitterURLCorpus":87.46} -{"index":1,"Rank":15,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53} +{"index":1,"Rank":15,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":87.61,"SprintDuplicateQuestions":96.26,"TwitterSemEval2015":79.04,"TwitterURLCorpus":87.53} {"index":16,"Rank":16,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Embedding Dimensions":1536,"Max Tokens":131072,"Average":87.51,"SprintDuplicateQuestions":95.32,"TwitterSemEval2015":79.64,"TwitterURLCorpus":87.58} {"index":15,"Rank":17,"Model":"gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.41,"SprintDuplicateQuestions":96.07,"TwitterSemEval2015":79.36,"TwitterURLCorpus":86.79} {"index":104,"Rank":18,"Model":"ember-v1-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98} {"index":195,"Rank":19,"Model":"ember-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.37,"SprintDuplicateQuestions":96.83,"TwitterSemEval2015":79.29,"TwitterURLCorpus":85.98} {"index":190,"Rank":20,"Model":"echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":87.34,"SprintDuplicateQuestions":94.59,"TwitterSemEval2015":79.93,"TwitterURLCorpus":87.5} -{"index":0,"Rank":21,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12} +{"index":0,"Rank":21,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":87.29,"SprintDuplicateQuestions":96.49,"TwitterSemEval2015":78.25,"TwitterURLCorpus":87.12} {"index":45,"Rank":22,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":87.29,"SprintDuplicateQuestions":93.35,"TwitterSemEval2015":81.08,"TwitterURLCorpus":87.43} {"index":116,"Rank":23,"Model":"UAE-Large-V1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.25,"SprintDuplicateQuestions":97.24,"TwitterSemEval2015":78.17,"TwitterURLCorpus":86.33} {"index":203,"Rank":24,"Model":"mxbai-embed-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":87.2,"SprintDuplicateQuestions":96.82,"TwitterSemEval2015":78.55,"TwitterURLCorpus":86.23} diff --git a/boards_data/en/data_tasks/Reranking/default.jsonl b/boards_data/en/data_tasks/Reranking/default.jsonl index 46fa1750807793c83a1978d654e7765600e81788..f0a24ee0d7a7e1544a3e32b4a7fab6a5f8cc3a66 100644 --- a/boards_data/en/data_tasks/Reranking/default.jsonl +++ b/boards_data/en/data_tasks/Reranking/default.jsonl @@ -36,7 +36,7 @@ {"index":205,"Rank":36,"Model":"bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45} {"index":202,"Rank":37,"Model":"mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16} {"index":173,"Rank":38,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average":58.92,"AskUbuntuDupQuestions":64.41,"MindSmallReranking":33.07,"SciDocsRR":85.75,"StackOverflowDupQuestions":52.45} -{"index":1,"Rank":39,"Model":"text-embedding-preview-0409<\/a>","Model Size 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fp32)":"","Embedding Dimensions":"","Max Tokens":"","SummEval":32.47} -{"index":0,"Rank":6,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"SummEval":32.36} +{"index":0,"Rank":6,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"SummEval":32.36} {"index":162,"Rank":7,"Model":"instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.32} {"index":95,"Rank":8,"Model":"Arabic-labse-Matryoshka<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Embedding Dimensions":768,"Max Tokens":512,"SummEval":32.17} {"index":56,"Rank":9,"Model":"MUG-B-1.6<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"SummEval":32.12} diff --git a/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl b/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl index 5e3a1a620356c2520b735c1b3bc2ef0f48616ec5..681975b2cabd6ab35934a757e5d559cecc5a501e 100644 --- a/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl +++ b/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl @@ -3,7 +3,7 @@ {"index":9,"Rank":3,"Model":"flan-t5-large<\/a>","Model Size (Million Parameters)":770,"Memory Usage (GB, fp32)":2.87,"Embedding Dimensions":-1,"Max Tokens":512,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9} {"index":3,"Rank":4,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Embedding Dimensions":"","Max Tokens":4096,"Average":3.45,"Core17InstructionRetrieval":6.7,"News21InstructionRetrieval":1.22,"Robust04InstructionRetrieval":2.44} {"index":5,"Rank":5,"Model":"monot5-3b-msmarco-10k<\/a>","Model Size (Million Parameters)":2480,"Memory Usage (GB, fp32)":9.24,"Embedding Dimensions":-1,"Max Tokens":512,"Average":2.53,"Core17InstructionRetrieval":1.84,"News21InstructionRetrieval":1.78,"Robust04InstructionRetrieval":3.96} -{"index":0,"Rank":6,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":2.33,"Core17InstructionRetrieval":5.44,"News21InstructionRetrieval":3.94,"Robust04InstructionRetrieval":-2.4} +{"index":0,"Rank":6,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":2.33,"Core17InstructionRetrieval":5.44,"News21InstructionRetrieval":3.94,"Robust04InstructionRetrieval":-2.4} {"index":20,"Rank":7,"Model":"llama-2-7b-chat<\/a>","Model Size (Million Parameters)":7000,"Memory Usage (GB, fp32)":26.08,"Embedding Dimensions":-1,"Max Tokens":4096,"Average":1.69,"Core17InstructionRetrieval":2.84,"News21InstructionRetrieval":0.23,"Robust04InstructionRetrieval":2.0} {"index":7,"Rank":8,"Model":"tart-full-flan-t5-xl<\/a>","Model Size (Million Parameters)":2480,"Memory Usage (GB, fp32)":9.24,"Embedding Dimensions":-1,"Max Tokens":512,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72} {"index":8,"Rank":9,"Model":"flan-t5-base<\/a>","Model Size (Million Parameters)":220,"Memory Usage (GB, fp32)":0.82,"Embedding Dimensions":-1,"Max Tokens":512,"Average":0.64,"Core17InstructionRetrieval":-3.31,"News21InstructionRetrieval":-0.12,"Robust04InstructionRetrieval":5.35} diff --git a/boards_data/other-sts/data_tasks/STS/default.jsonl b/boards_data/other-sts/data_tasks/STS/default.jsonl index 7225aca41deb8b453c060da6d925c1747cb734d7..3b784abd8cbf315ac7f77b6eafba10d0ed25c559 100644 --- a/boards_data/other-sts/data_tasks/STS/default.jsonl +++ b/boards_data/other-sts/data_tasks/STS/default.jsonl @@ -30,8 +30,8 @@ {"index":78,"Rank":30,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Embedding Dimensions":768,"Max Tokens":2048,"Average":27.72,"STS17 (ar-ar)":54.16,"STS17 (en-ar)":1.72,"STS17 (en-de)":25.48,"STS17 (en-tr)":2.09,"STS17 (es-en)":21.93,"STS17 (es-es)":67.8,"STS17 (fr-en)":18.91,"STS17 (it-en)":16.39,"STS17 (ko-ko)":45.66,"STS17 (nl-en)":23.49,"STS22 (ar)":5.17,"STS22 (de)":11.0,"STS22 (de-en)":53.93,"STS22 (de-fr)":25.11,"STS22 (de-pl)":20.94,"STS22 (es)":43.05,"STS22 (es-en)":32.74,"STS22 (es-it)":35.99,"STS22 (fr)":54.56,"STS22 (fr-pl)":5.63,"STS22 (it)":33.68,"STS22 (pl)":14.91,"STS22 (pl-en)":20.54,"STS22 (ru)":3.36,"STS22 (tr)":3.82,"STS22 (zh-en)":26.71,"STSBenchmark":79.54} {"index":232,"Rank":31,"Model":"allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average":25.1,"STS17 (ar-ar)":27.14,"STS17 (en-ar)":6.9,"STS17 (en-de)":11.59,"STS17 (en-tr)":6.46,"STS17 (es-en)":10.86,"STS17 (es-es)":55.45,"STS17 (fr-en)":16.02,"STS17 (it-en)":19.87,"STS17 (ko-ko)":8.08,"STS17 (nl-en)":24.92,"STS22 (ar)":19.57,"STS22 (de)":17.31,"STS22 (de-en)":26.03,"STS22 (de-fr)":10.26,"STS22 (de-pl)":16.94,"STS22 (es)":48.89,"STS22 (es-en)":51.79,"STS22 (es-it)":25.24,"STS22 (fr)":53.92,"STS22 (fr-pl)":39.44,"STS22 (it)":39.43,"STS22 (pl)":13.56,"STS22 (pl-en)":25.36,"STS22 (ru)":1.11,"STS22 (tr)":31.73,"STS22 (zh-en)":8.44,"STSBenchmark":61.26} {"index":234,"Rank":32,"Model":"average_word_embeddings_komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, 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(zh-en)":"","STSBenchmark":88.99} +{"index":0,"Rank":33,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"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":89.33} +{"index":1,"Rank":34,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","STS17 (ar-ar)":"","STS17 (en-ar)":"","STS17 (en-de)":"","STS17 (en-tr)":"","STS17 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(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)":70.51,"STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":""} diff --git a/boards_data/zh/data_overall/default.jsonl b/boards_data/zh/data_overall/default.jsonl index a4ba1ea56aba812030b1c7927d3a71e6d6e5c014..c1ff1b7301564249906569ab5212c8c122cb2408 100644 --- a/boards_data/zh/data_overall/default.jsonl +++ b/boards_data/zh/data_overall/default.jsonl @@ -63,8 +63,8 @@ {"index":49,"Rank":63,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":44.59,"Classification Average (9 datasets)":62.7,"Clustering Average (4 datasets)":39.67,"PairClassification Average (2 datasets)":80.9,"Reranking Average (4 datasets)":44.91,"Retrieval Average (8 datasets)":22.92,"STS Average (8 datasets)":39.11} {"index":171,"Rank":64,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (35 datasets)":35.89,"Classification Average (9 datasets)":57.87,"Clustering Average (4 datasets)":34.44,"PairClassification Average (2 datasets)":58.52,"Reranking Average (4 datasets)":32.84,"Retrieval Average (8 datasets)":7.15,"STS Average (8 datasets)":36.48} {"index":304,"Rank":65,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (35 datasets)":23.88,"Classification Average (9 datasets)":38.04,"Clustering Average (4 datasets)":18.34,"PairClassification Average (2 datasets)":56.7,"Reranking Average (4 datasets)":25.86,"Retrieval Average (8 datasets)":4.52,"STS Average (8 datasets)":20.86} -{"index":0,"Rank":66,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"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":1,"Rank":67,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"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":0,"Rank":66,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"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":1,"Rank":67,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"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":2,"Rank":68,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding 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datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (8 datasets)":"","STS Average (8 datasets)":""} diff --git a/boards_data/zh/data_tasks/Classification/default.jsonl b/boards_data/zh/data_tasks/Classification/default.jsonl index 0619948f52267d8e24ce884463b1db1e673e4bed..40b77526d915f807e4fad190cd89f42622827163 100644 --- a/boards_data/zh/data_tasks/Classification/default.jsonl +++ b/boards_data/zh/data_tasks/Classification/default.jsonl @@ -73,8 +73,8 @@ {"index":304,"Rank":73,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":38.04,"AmazonReviewsClassification (zh)":21.96,"IFlyTek":20.35,"JDReview":55.5,"MassiveIntentClassification (zh-CN)":25.39,"MassiveScenarioClassification (zh-CN)":40.35,"MultilingualSentiment":38.94,"OnlineShopping":56.89,"TNews":26.79,"Waimai":56.22} {"index":270,"Rank":74,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million 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Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} -{"index":1,"Rank":77,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} +{"index":0,"Rank":76,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} +{"index":1,"Rank":77,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} {"index":2,"Rank":78,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} {"index":3,"Rank":79,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} {"index":4,"Rank":80,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AmazonReviewsClassification (zh)":"","IFlyTek":"","JDReview":"","MassiveIntentClassification (zh-CN)":"","MassiveScenarioClassification (zh-CN)":"","MultilingualSentiment":"","OnlineShopping":"","TNews":"","Waimai":""} diff --git a/boards_data/zh/data_tasks/Clustering/default.jsonl b/boards_data/zh/data_tasks/Clustering/default.jsonl index f604986a43f3b5f100b9a7cf3ec1bd31cba74835..c811104d1d90aa0c83a71f42fa49b50155d78839 100644 --- a/boards_data/zh/data_tasks/Clustering/default.jsonl +++ b/boards_data/zh/data_tasks/Clustering/default.jsonl @@ -67,8 +67,8 @@ {"index":45,"Rank":67,"Model":"sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Embedding Dimensions":768,"Max Tokens":512,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23} {"index":55,"Rank":68,"Model":"text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Embedding Dimensions":1024,"Max Tokens":512,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14} {"index":304,"Rank":69,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19} -{"index":0,"Rank":70,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} -{"index":1,"Rank":71,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} +{"index":0,"Rank":70,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} +{"index":1,"Rank":71,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} {"index":2,"Rank":72,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} {"index":3,"Rank":73,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} {"index":4,"Rank":74,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CLSClusteringP2P":"","CLSClusteringS2S":"","ThuNewsClusteringP2P":"","ThuNewsClusteringS2S":""} diff --git a/boards_data/zh/data_tasks/PairClassification/default.jsonl b/boards_data/zh/data_tasks/PairClassification/default.jsonl index 5696d4191c4a5c2a4bb690e665dd8bc7a3579358..c3b0417285b2b326dc3068837fa78ba37e0cb8cc 100644 --- a/boards_data/zh/data_tasks/PairClassification/default.jsonl +++ b/boards_data/zh/data_tasks/PairClassification/default.jsonl @@ -68,8 +68,8 @@ {"index":236,"Rank":68,"Model":"m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":62.84,"Cmnli":65.68,"Ocnli":59.99} {"index":171,"Rank":69,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":58.52,"Cmnli":61.86,"Ocnli":55.18} {"index":304,"Rank":70,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":56.7,"Cmnli":57.78,"Ocnli":55.63} -{"index":0,"Rank":71,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""} -{"index":1,"Rank":72,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""} +{"index":0,"Rank":71,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""} +{"index":1,"Rank":72,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","Cmnli":"","Ocnli":""} {"index":2,"Rank":73,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","Cmnli":"","Ocnli":""} {"index":3,"Rank":74,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","Cmnli":"","Ocnli":""} {"index":4,"Rank":75,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","Cmnli":"","Ocnli":""} diff --git a/boards_data/zh/data_tasks/Reranking/default.jsonl b/boards_data/zh/data_tasks/Reranking/default.jsonl index a0755536c64f48e42378effea7278503c22e7fd3..e27978daeb5f3855a1f2fba1918f2d2a9f1073b6 100644 --- a/boards_data/zh/data_tasks/Reranking/default.jsonl +++ b/boards_data/zh/data_tasks/Reranking/default.jsonl @@ -81,8 +81,8 @@ {"index":49,"Rank":81,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":44.91,"CMedQAv1":50.19,"CMedQAv2":50.39,"MMarcoReranking":14.57,"T2Reranking":64.49} {"index":171,"Rank":82,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":32.84,"CMedQAv1":34.31,"CMedQAv2":35.88,"MMarcoReranking":5.83,"T2Reranking":55.35} {"index":304,"Rank":83,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":25.86,"CMedQAv1":19.72,"CMedQAv2":22.48,"MMarcoReranking":1.17,"T2Reranking":60.05} -{"index":0,"Rank":84,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} -{"index":1,"Rank":85,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} +{"index":0,"Rank":84,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} +{"index":1,"Rank":85,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} {"index":2,"Rank":86,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} {"index":3,"Rank":87,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} {"index":4,"Rank":88,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CMedQAv1":"","CMedQAv2":"","MMarcoReranking":"","T2Reranking":""} diff --git a/boards_data/zh/data_tasks/Retrieval/default.jsonl b/boards_data/zh/data_tasks/Retrieval/default.jsonl index f7dd0c2af69b3eb1d20627a237c9358d0945dc64..5658ecf2e1832f6873b92da7a29cc14355d85304 100644 --- a/boards_data/zh/data_tasks/Retrieval/default.jsonl +++ b/boards_data/zh/data_tasks/Retrieval/default.jsonl @@ -85,8 +85,8 @@ {"index":304,"Rank":85,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":4.52,"CmedqaRetrieval":2.22,"CovidRetrieval":2.32,"DuRetrieval":5.86,"EcomRetrieval":10.37,"MedicalRetrieval":2.37,"MMarcoRetrieval":3.64,"T2Retrieval":4.64,"VideoRetrieval":4.77} {"index":271,"Rank":86,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":514,"Average":4.36,"CmedqaRetrieval":2.0,"CovidRetrieval":3.7,"DuRetrieval":4.92,"EcomRetrieval":3.94,"MedicalRetrieval":1.71,"MMarcoRetrieval":7.13,"T2Retrieval":2.98,"VideoRetrieval":8.48} {"index":270,"Rank":87,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":3.62,"CmedqaRetrieval":2.03,"CovidRetrieval":0.8,"DuRetrieval":3.03,"EcomRetrieval":3.7,"MedicalRetrieval":1.76,"MMarcoRetrieval":6.21,"T2Retrieval":1.6,"VideoRetrieval":9.79} -{"index":0,"Rank":88,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} -{"index":1,"Rank":89,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} +{"index":0,"Rank":88,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} +{"index":1,"Rank":89,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} {"index":2,"Rank":90,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} {"index":3,"Rank":91,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} {"index":4,"Rank":92,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","CmedqaRetrieval":"","CovidRetrieval":"","DuRetrieval":"","EcomRetrieval":"","MedicalRetrieval":"","MMarcoRetrieval":"","T2Retrieval":"","VideoRetrieval":""} diff --git a/boards_data/zh/data_tasks/STS/default.jsonl b/boards_data/zh/data_tasks/STS/default.jsonl index 8c41d8154dfac9e2c0a22d07fa40ea8fbf546820..6e6256a932a319016eaba9b0c4a3e528197e688a 100644 --- a/boards_data/zh/data_tasks/STS/default.jsonl +++ b/boards_data/zh/data_tasks/STS/default.jsonl @@ -64,8 +64,8 @@ {"index":49,"Rank":64,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":39.11,"AFQMC":15.69,"ATEC":20.27,"BQ":36.33,"LCQMC":63.3,"PAWSX":12.16,"QBQTC":22.53,"STS22 (zh)":61.75,"STSB":80.84} {"index":171,"Rank":65,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":36.48,"AFQMC":17.63,"ATEC":26.18,"BQ":37.66,"LCQMC":50.11,"PAWSX":32.75,"QBQTC":24.48,"STS22 (zh)":52.82,"STSB":50.18} {"index":304,"Rank":66,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average":20.86,"AFQMC":3.76,"ATEC":10.09,"BQ":19.31,"LCQMC":42.15,"PAWSX":6.14,"QBQTC":6.12,"STS22 (zh)":33.7,"STSB":45.6} -{"index":0,"Rank":67,"Model":"text-embedding-preview-0409-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} -{"index":1,"Rank":68,"Model":"text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} +{"index":0,"Rank":67,"Model":"text-embedding-preview-004-256<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":256,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} +{"index":1,"Rank":68,"Model":"text-embedding-preview-004<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Embedding Dimensions":768,"Max Tokens":2048,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} {"index":2,"Rank":69,"Model":"titan-embed-text-v1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1536,"Max Tokens":8000,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} {"index":3,"Rank":70,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":"","Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} {"index":4,"Rank":71,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":1024,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":"","STSB":""} diff --git a/model_meta.yaml b/model_meta.yaml index e653ba93dad8450a3988822a693ea9a6eee574b2..ddfe38cc7f3c399b93864ada197433fe12d15b7d 100644 --- a/model_meta.yaml +++ b/model_meta.yaml @@ -811,7 +811,7 @@ model_meta: is_proprietary: false is_sentence_transformers_compatible: true uses_instruct: false - google-gecko__text-embedding-preview-0409-256: + google-gecko__text-embedding-preview-004-256: link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models seq_len: 2048 size: 1200 @@ -820,7 +820,7 @@ model_meta: is_proprietary: true is_sentence_transformers_compatible: false uses_instruct: false - google-gecko__text-embedding-preview-0409: + google-gecko__text-embedding-preview-004: link: https://cloud.google.com/vertex-ai/generative-ai/docs/embeddings/get-text-embeddings#latest_models seq_len: 2048 size: 1200 diff --git a/refresh.py b/refresh.py index 3cb15cb938d2097091b7b39372a691758d72e869..51e8be4b113630f462ca2212869ca3ffaa7c0fb6 100644 --- a/refresh.py +++ b/refresh.py @@ -472,6 +472,7 @@ def get_mteb_data( for res in task_results ] except Exception as e: + if 'ILKT' in model.modelId: continue print("ERROR", model.modelId, e) continue out = {k: v for d in out for k, v in d.items()}