diff --git a/.gitignore b/.gitignore index e12c099fc5868412417b8b9f52251161ee0217ed..470aca5314b4706dc53c5849fbb13ccf5820d9c2 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,6 @@ *.pyc model_infos.json space -.venv \ No newline at end of file +.venv +results +mteb diff --git a/EXTERNAL_MODEL_RESULTS.json b/EXTERNAL_MODEL_RESULTS.json index afb47b93076f7ca46d2a729621151ec07b019dfb..7640eaa9a896b18345a1872c5bde9a78fb617d9b 100644 --- a/EXTERNAL_MODEL_RESULTS.json +++ b/EXTERNAL_MODEL_RESULTS.json @@ -1457,173 +1457,6 @@ ] } }, - "gte-Qwen1.5-7B-instruct": { - "BitextMining": { - "f1": [ - { - "Model": "gte-Qwen1.5-7B-instruct" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "AmazonCounterfactualClassification (en)": 83.16, - "AmazonPolarityClassification": 96.7, - "AmazonReviewsClassification (en)": 62.17, - "AmazonReviewsClassification (zh)": 52.95, - "Banking77Classification": 81.68, - "EmotionClassification": 54.53, - "IFlyTek": 53.77, - "ImdbClassification": 95.58, - "JDReview": 88.2, - "MTOPDomainClassification (en)": 95.75, - "MTOPIntentClassification (en)": 84.26, - "MassiveIntentClassification (zh-CN)": 76.25, - "MassiveIntentClassification (en)": 78.47, - "MassiveScenarioClassification (en)": 78.19, - "MassiveScenarioClassification (zh-CN)": 77.26, - "MultilingualSentiment": 77.42, - "OnlineShopping": 94.48, - "TNews": 51.24, - "ToxicConversationsClassification": 78.75, - "TweetSentimentExtractionClassification": 66.0, - "Waimai": 88.63 - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "ArxivClusteringP2P": 56.4, - "ArxivClusteringS2S": 51.45, - "BiorxivClusteringP2P": 49.01, - "BiorxivClusteringS2S": 45.06, - "CLSClusteringP2P": 47.21, - "CLSClusteringS2S": 45.79, - "MedrxivClusteringP2P": 44.37, - "MedrxivClusteringS2S": 42.0, - "RedditClustering": 73.37, - "RedditClusteringP2P": 72.51, - "StackExchangeClustering": 79.07, - "StackExchangeClusteringP2P": 49.57, - "ThuNewsClusteringP2P": 87.43, - "ThuNewsClusteringS2S": 87.9, - "TwentyNewsgroupsClustering": 51.31 - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "Cmnli": 91.81, - "Ocnli": 85.22, - "SprintDuplicateQuestions": 95.99, - "TwitterSemEval2015": 79.36, - "TwitterURLCorpus": 86.79 - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "AskUbuntuDupQuestions": 66.0, - "CMedQAv1": 86.37, - "CMedQAv2": 87.41, - "MindSmallReranking": 32.71, - "SciDocsRR": 87.89, - "StackOverflowDupQuestions": 53.93, - "T2Reranking": 68.11 - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "ArguAna": 62.65, - "BrightRetrieval (stackoverflow)": 19.85, - "BrightRetrieval (earth_science)": 36.22, - "BrightRetrieval (leetcode)": 25.46, - "BrightRetrieval (theoremqa_questions)": 26.97, - "BrightRetrieval (economics)": 17.72, - "BrightRetrieval (robotics)": 13.47, - "BrightRetrieval (pony)": 9.79, - "BrightRetrieval (aops)": 14.36, - "BrightRetrieval (psychology)": 24.61, - "BrightRetrieval (theoremqa_theorems)": 26.66, - "BrightRetrieval (biology)": 30.92, - "BrightRetrieval (sustainable_living)": 14.93, - "CQADupstackRetrieval": 40.64, - "ClimateFEVER": 44.0, - "CmedqaRetrieval": 43.47, - "CovidRetrieval": 80.87, - "DBPedia": 48.04, - "DuRetrieval": 86.01, - "EcomRetrieval": 66.46, - "FEVER": 93.35, - "FiQA2018": 55.31, - "HotpotQA": 72.25, - "MMarcoRetrieval": 73.83, - "MSMARCO": 41.68, - "MedicalRetrieval": 61.33, - "NFCorpus": 38.25, - "NQ": 61.79, - "QuoraRetrieval": 89.61, - "SCIDOCS": 27.69, - "SciFact": 75.31, - "T2Retrieval": 83.58, - "TRECCOVID": 72.72, - "Touche2020": 20.3, - "VideoRetrieval": 69.41 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "AFQMC": 58.47, - "ATEC": 55.46, - "BIOSSES": 81.12, - "BQ": 77.59, - "LCQMC": 76.29, - "PAWSX": 50.22, - "QBQTC": 31.82, - "SICK-R": 79.15, - "STS12": 76.52, - "STS13": 88.63, - "STS14": 83.32, - "STS15": 87.5, - "STS16": 86.39, - "STS17 (en-en)": 87.79, - "STS22 (en)": 66.4, - "STS22 (zh)": 67.36, - "STSB": 81.37, - "STSBenchmark": 87.35 - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "gte-Qwen1.5-7B-instruct", - "SummEval": 31.46 - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "gte-Qwen1.5-7B-instruct" - } - ] - } - }, "text-similarity-curie-001": { "BitextMining": { "f1": [ @@ -2719,83 +2552,6 @@ ] } }, - "SFR-Embedding-Mistral": { - "BitextMining": { - "f1": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "SFR-Embedding-Mistral", - "BrightRetrieval (sustainable_living)": 19.79, - "BrightRetrieval (economics)": 17.84, - "BrightRetrieval (theoremqa_theorems)": 24.05, - "BrightRetrieval (aops)": 7.43, - "BrightRetrieval (theoremqa_questions)": 23.05, - "BrightRetrieval (psychology)": 18.97, - "BrightRetrieval (stackoverflow)": 12.72, - "BrightRetrieval (pony)": 1.97, - "BrightRetrieval (leetcode)": 27.35, - "BrightRetrieval (biology)": 19.49, - "BrightRetrieval (earth_science)": 26.63, - "BrightRetrieval (robotics)": 16.7 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "SFR-Embedding-Mistral" - } - ] - } - }, "glove.6B.300d": { "BitextMining": { "f1": [ @@ -4171,145 +3927,12 @@ ] } }, - "voyage-large-2-instruct": { + "rubert-base-cased": { "BitextMining": { "f1": [ { - "Model": "voyage-large-2-instruct" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "voyage-large-2-instruct", - "AmazonCounterfactualClassification (en)": 77.6, - "AmazonPolarityClassification": 96.58, - "AmazonReviewsClassification (en)": 50.77, - "Banking77Classification": 86.96, - "EmotionClassification": 59.81, - "ImdbClassification": 96.13, - "MTOPDomainClassification (en)": 98.86, - "MTOPIntentClassification (en)": 86.97, - "MassiveIntentClassification (en)": 81.08, - "MassiveScenarioClassification (en)": 87.95, - "ToxicConversationsClassification": 83.58, - "TweetSentimentExtractionClassification": 71.55 - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "voyage-large-2-instruct", - "ArxivClusteringP2P": 51.81, - "ArxivClusteringS2S": 44.73, - "BiorxivClusteringP2P": 46.07, - "BiorxivClusteringS2S": 40.64, - "MedrxivClusteringP2P": 42.94, - "MedrxivClusteringS2S": 41.44, - "RedditClustering": 68.5, - "RedditClusteringP2P": 64.86, - "StackExchangeClustering": 74.16, - "StackExchangeClusteringP2P": 45.1, - "TwentyNewsgroupsClustering": 66.62 - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "voyage-large-2-instruct", - "SprintDuplicateQuestions": 94.5, - "TwitterSemEval2015": 86.32, - "TwitterURLCorpus": 86.9 - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "voyage-large-2-instruct", - "AskUbuntuDupQuestions": 64.92, - "MindSmallReranking": 30.97, - "SciDocsRR": 89.34, - "StackOverflowDupQuestions": 55.11 - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "voyage-large-2-instruct", - "ArguAna": 64.06, - "BrightRetrieval (theoremqa_questions)": 26.06, - "BrightRetrieval (earth_science)": 25.09, - "BrightRetrieval (leetcode)": 30.6, - "BrightRetrieval (economics)": 19.85, - "BrightRetrieval (robotics)": 11.21, - "BrightRetrieval (psychology)": 24.79, - "BrightRetrieval (aops)": 7.45, - "BrightRetrieval (sustainable_living)": 15.58, - "BrightRetrieval (pony)": 1.48, - "BrightRetrieval (theoremqa_theorems)": 10.13, - "BrightRetrieval (biology)": 23.55, - "BrightRetrieval (stackoverflow)": 15.03, - "CQADupstackRetrieval": 46.6, - "ClimateFEVER": 32.65, - "DBPedia": 46.03, - "FEVER": 91.47, - "FiQA2018": 59.76, - "HotpotQA": 70.86, - "MSMARCO": 40.6, - "NFCorpus": 40.32, - "NQ": 65.92, - "QuoraRetrieval": 87.4, - "SCIDOCS": 24.32, - "SciFact": 79.99, - "TRECCOVID": 85.07, - "Touche2020": 39.16 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "voyage-large-2-instruct", - "BIOSSES": 89.24, - "SICK-R": 83.16, - "STS12": 73.34, - "STS13": 88.49, - "STS14": 86.49, - "STS15": 91.13, - "STS16": 85.68, - "STS17 (en-en)": 90.06, - "STS22 (en)": 66.32, - "STSBenchmark": 89.22 - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "voyage-large-2-instruct", - "SummEval": 30.84 - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "voyage-large-2-instruct" - } - ] - } - }, - "rubert-base-cased": { - "BitextMining": { - "f1": [ - { - "Model": "rubert-base-cased", - "Tatoeba (rus-Cyrl_eng-Latn)": 16.76 + "Model": "rubert-base-cased", + "Tatoeba (rus-Cyrl_eng-Latn)": 16.76 } ] }, @@ -7556,83 +7179,6 @@ ] } }, - "instructor-large": { - "BitextMining": { - "f1": [ - { - "Model": "instructor-large" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "instructor-large" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "instructor-large" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "instructor-large" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "instructor-large" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "instructor-large", - "BrightRetrieval (pony)": 1.32, - "BrightRetrieval (sustainable_living)": 13.16, - "BrightRetrieval (aops)": 7.94, - "BrightRetrieval (biology)": 15.61, - "BrightRetrieval (stackoverflow)": 11.21, - "BrightRetrieval (theoremqa_theorems)": 9.29, - "BrightRetrieval (psychology)": 21.94, - "BrightRetrieval (economics)": 15.99, - "BrightRetrieval (robotics)": 11.45, - "BrightRetrieval (leetcode)": 20.0, - "BrightRetrieval (earth_science)": 21.52, - "BrightRetrieval (theoremqa_questions)": 20.07 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "instructor-large" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "instructor-large" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "instructor-large" - } - ] - } - }, "bert-base-multilingual-uncased": { "BitextMining": { "f1": [ @@ -10137,111 +9683,11 @@ ] } }, - "bge-large-en-v1.5": { + "allenai-specter": { "BitextMining": { "f1": [ { - "Model": "bge-large-en-v1.5" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "bge-large-en-v1.5" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "bge-large-en-v1.5" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "bge-large-en-v1.5" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "bge-large-en-v1.5" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "bge-large-en-v1.5", - "AILACasedocs": 25.15, - "AILAStatutes": 20.74, - "ARCChallenge": 9.99, - "AlphaNLI": 13.13, - "BrightRetrieval (stackoverflow)": 9.51, - "BrightRetrieval (earth_science)": 24.15, - "BrightRetrieval (aops)": 6.08, - "BrightRetrieval (sustainable_living)": 13.27, - "BrightRetrieval (psychology)": 17.44, - "BrightRetrieval (robotics)": 12.21, - "BrightRetrieval (theoremqa_theorems)": 5.51, - "BrightRetrieval (pony)": 5.64, - "BrightRetrieval (biology)": 11.96, - "BrightRetrieval (theoremqa_questions)": 12.56, - "BrightRetrieval (leetcode)": 26.68, - "BrightRetrieval (economics)": 16.59, - "GerDaLIRSmall": 3.96, - "HellaSwag": 28.5, - "LeCaRDv2": 22.68, - "LegalBenchConsumerContractsQA": 73.52, - "LegalBenchCorporateLobbying": 91.51, - "LegalQuAD": 16.22, - "LegalSummarization": 59.99, - "PIQA": 27.99, - "Quail": 1.83, - "RARbCode": 48.12, - "RARbMath": 57.36, - "SIQA": 1.04, - "SpartQA": 2.99, - "TempReasonL1": 1.46, - "TempReasonL2Fact": 24.25, - "TempReasonL2Pure": 2.35, - "TempReasonL3Fact": 20.64, - "TempReasonL3Pure": 6.67, - "WinoGrande": 19.18 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "bge-large-en-v1.5" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "bge-large-en-v1.5" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "bge-large-en-v1.5" - } - ] - } - }, - "allenai-specter": { - "BitextMining": { - "f1": [ - { - "Model": "allenai-specter" + "Model": "allenai-specter" } ] }, @@ -11312,101 +10758,6 @@ ] } }, - "GritLM-7B": { - "BitextMining": { - "f1": [ - { - "Model": "GritLM-7B" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "GritLM-7B" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "GritLM-7B" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "GritLM-7B" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "GritLM-7B" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "GritLM-7B", - "ARCChallenge": 26.68, - "AlphaNLI": 34.0, - "BrightRetrieval (pony)": 21.98, - "BrightRetrieval (robotics)": 17.31, - "BrightRetrieval (economics)": 19.0, - "BrightRetrieval (theoremqa_questions)": 23.34, - "BrightRetrieval (leetcode)": 29.85, - "BrightRetrieval (earth_science)": 32.77, - "BrightRetrieval (stackoverflow)": 11.62, - "BrightRetrieval (sustainable_living)": 18.04, - "BrightRetrieval (biology)": 25.04, - "BrightRetrieval (psychology)": 19.92, - "BrightRetrieval (theoremqa_theorems)": 17.41, - "BrightRetrieval (aops)": 8.91, - "HellaSwag": 39.45, - "PIQA": 44.35, - "Quail": 11.69, - "RARbCode": 84.0, - "RARbMath": 82.35, - "SIQA": 7.23, - "SpartQA": 9.29, - "TempReasonL1": 7.15, - "TempReasonL2Fact": 58.38, - "TempReasonL2Pure": 11.22, - "TempReasonL3Fact": 44.29, - "TempReasonL3Pure": 14.15, - "WinoGrande": 53.74 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "GritLM-7B" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "GritLM-7B" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "GritLM-7B", - "Core17InstructionRetrieval": 2.62, - "News21InstructionRetrieval": -1.01, - "Robust04InstructionRetrieval": -1.68 - } - ] - } - }, "bge-m3": { "BitextMining": { "f1": [ @@ -13236,163 +12587,6 @@ ] } }, - "gte-Qwen2-7B-instruct": { - "BitextMining": { - "f1": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "gte-Qwen2-7B-instruct", - "BrightRetrieval (earth_science)": 40.66, - "BrightRetrieval (sustainable_living)": 20.82, - "BrightRetrieval (theoremqa_theorems)": 28.15, - "BrightRetrieval (aops)": 15.1, - "BrightRetrieval (economics)": 16.18, - "BrightRetrieval (pony)": 1.25, - "BrightRetrieval (stackoverflow)": 13.95, - "BrightRetrieval (leetcode)": 31.07, - "BrightRetrieval (biology)": 32.09, - "BrightRetrieval (theoremqa_questions)": 29.9, - "BrightRetrieval (robotics)": 12.82, - "BrightRetrieval (psychology)": 26.58 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "gte-Qwen2-7B-instruct" - } - ] - } - }, - "instructor-xl": { - "BitextMining": { - "f1": [ - { - "Model": "instructor-xl" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "instructor-xl" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "instructor-xl" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "instructor-xl" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "instructor-xl" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "instructor-xl", - "BrightRetrieval (aops)": 8.26, - "BrightRetrieval (robotics)": 17.39, - "BrightRetrieval (economics)": 22.81, - "BrightRetrieval (stackoverflow)": 19.06, - "BrightRetrieval (leetcode)": 27.5, - "BrightRetrieval (theoremqa_questions)": 14.59, - "BrightRetrieval (psychology)": 27.43, - "BrightRetrieval (biology)": 21.91, - "BrightRetrieval (theoremqa_theorems)": 6.5, - "BrightRetrieval (earth_science)": 34.35, - "BrightRetrieval (sustainable_living)": 18.82, - "BrightRetrieval (pony)": 5.02 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "instructor-xl" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "instructor-xl" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "instructor-xl", - "Core17InstructionRetrieval": 0.69, - "News21InstructionRetrieval": -0.9, - "Robust04InstructionRetrieval": -8.08 - } - ] - } - }, "mistral-embed": { "BitextMining": { "f1": [ @@ -13734,154 +12928,18 @@ ] } }, - "google-gecko.text-embedding-preview-0409": { + 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"ThuNewsClusteringS2S": 40.01 + } + ] + }, + "PairClassification": { + "ap": [ + { + "Model": "text2vec-base-chinese", + "Cmnli": 73.87, + "Ocnli": 60.95 + } + ] + }, + "Reranking": { + "map": [ + { + "Model": "text2vec-base-chinese", + "CMedQAv1": 59.26, + "CMedQAv2": 59.82, + "MMarcoReranking": 12.76, + "T2Reranking": 65.95 + } + ] + }, + "Retrieval": { + "ndcg_at_10": [ + { + "Model": "text2vec-base-chinese", + "CmedqaRetrieval": 15.91, + "CovidRetrieval": 44.81, + "DuRetrieval": 52.23, + "EcomRetrieval": 34.6, + "MMarcoRetrieval": 44.06, + "MedicalRetrieval": 27.56, + "T2Retrieval": 51.67, + "VideoRetrieval": 39.52 + } + ] + }, + "STS": { + "spearman": [ + { + "Model": "text2vec-base-chinese", + "AFQMC": 26.06, + "ATEC": 31.93, + "BQ": 42.67, + "LCQMC": 70.16, + "PAWSX": 17.21, + "QBQTC": 24.62, + "STS22 (zh)": 55.35, + "STSB": 79.3 + } + ] + }, + "Summarization": { + "spearman": [ + { + "Model": "text2vec-base-chinese" + } + ] + }, + "InstructionRetrieval": { + "p-MRR": [ + { + "Model": "text2vec-base-chinese" + } + ] + } + }, + "herbert-base-retrieval-v2": { + "BitextMining": { + "f1": [ + { + "Model": "herbert-base-retrieval-v2" + } + ] + }, + "Classification": { + "accuracy": [ + { + "Model": "herbert-base-retrieval-v2", + "AllegroReviews": 34.11, + "CBD": 68.35, + "MassiveIntentClassification (pl)": 65.53, + "MassiveScenarioClassification (pl)": 68.51, + "PAC": 68.4, + "PolEmo2.0-IN": 64.18, + "PolEmo2.0-OUT": 45.73 + } + ] + }, + "Clustering": { + "v_measure": [ + { + "Model": "herbert-base-retrieval-v2", + "8TagsClustering": 28.15 + } + ] + }, + "PairClassification": { + "ap": [ + { + "Model": "herbert-base-retrieval-v2", + "CDSC-E": 63.31, + "PPC": 84.18, + "PSC": 98.87, + "SICK-E-PL": 54.93 + } + ] + }, + "Reranking": { + "map": [ + { + "Model": "herbert-base-retrieval-v2" + } + ] + }, + "Retrieval": { + "ndcg_at_10": [ + { + "Model": "herbert-base-retrieval-v2", + "ArguAna-PL": 41.97, + "DBPedia-PL": 24.07, + "FiQA-PL": 24.25, + "HotpotQA-PL": 43.41, 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"STS": { "spearman": [ { - "Model": "LaBSE-en-ru", - "RUParaPhraserSTS (rus-Cyrl)": 65.87, - "RuSTSBenchmarkSTS (rus-Cyrl)": 73.32, - "STS22 (deu-Latn)": 38.9, - "STS22 (en)": 59.47, - "STS22 (pol-Latn_eng-Latn)": 58.73, - "STS22 (spa-Latn)": 60.85, - "STS22 (fra-Latn)": 74.98, - "STS22 (deu-Latn_eng-Latn)": 47.98, - "STS22 (deu-Latn_fra-Latn)": 59.4, - "STS22 (deu-Latn_pol-Latn)": 39.48, - "STS22 (pol-Latn)": 32.74, - "STS22 (tur-Latn)": 55.04, - "STS22 (spa-Latn_eng-Latn)": 70.8, - "STS22 (rus-Cyrl)": 58.53, - "STS22 (ita-Latn)": 68.58, - "STS22 (fra-Latn_pol-Latn)": 61.98, - "STS22 (spa-Latn_ita-Latn)": 66.83, - "STS22 (cmn-Hans_eng-Latn)": 24.98, - "STS22 (ara-Arab)": 31.85, - "STS22 (cmn-Hans)": 35.1, - "STSBenchmarkMultilingualSTS (rus-Cyrl)": 73.02 + "Model": "multilingual-e5-large", + "AFQMC (cmn-Hans)": 33.01, + "AFQMC": 33.02, + "ATEC (cmn-Hans)": 39.8, + "ATEC": 39.81, + "BIOSSES": 82.49, + "BQ (cmn-Hans)": 46.44, + "BQ": 46.44, + "CDSC-R (pol-Latn)": 91.0, + "CDSC-R": 91.0, + "LCQMC (cmn-Hans)": 75.95, + "LCQMC": 75.95, + "PAWSX (cmn-Hans)": 14.63, + "PAWSX": 14.63, + "QBQTC": 29.77, + "RUParaPhraserSTS (rus-Cyrl)": 71.82, + "RuSTSBenchmarkSTS (rus-Cyrl)": 83.15, + "SICK-R": 80.23, + "SICK-R-PL (pol-Latn)": 75.08, + "SICK-R-PL": 75.08, + "SICKFr (fra-Latn)": 78.81, + "SICKFr": 78.78, + "STS12": 80.02, + "STS13": 81.55, + "STS14": 77.72, + "STS15": 89.31, + "STS16": 85.79, + "STS17 (en-en)": 88.12, + "STS17 (spa-Latn)": 86.71, + "STS17 (spa-Latn_eng-Latn)": 80.74, + "STS17 (eng-Latn_ara-Arab)": 75.03, + "STS17 (fra-Latn_eng-Latn)": 85.62, + "STS17 (kor-Hang)": 82.27, + "STS17 (ita-Latn_eng-Latn)": 84.52, + "STS17 (ara-Arab)": 77.83, + "STS17 (eng-Latn_tur-Latn)": 71.22, + "STS17 (eng-Latn_deu-Latn)": 86.15, + "STS17 (nld-Latn_eng-Latn)": 85.29, + "STS22 (spa-Latn)": 64.6, + "STS22 (spa-Latn_eng-Latn)": 72.51, + "STS22 (deu-Latn_eng-Latn)": 56.59, + "STS22 (cmn-Hans_eng-Latn)": 65.95, + "STS22 (deu-Latn_pol-Latn)": 49.58, + "STS22 (fra-Latn_pol-Latn)": 50.71, + "STS22 (en)": 63.66, + "STS22 (ara-Arab)": 56.95, + "STS22 (spa-Latn_ita-Latn)": 68.92, + "STS22 (tur-Latn)": 63.56, + "STS22 (deu-Latn_fra-Latn)": 67.96, + "STS22 (ita-Latn)": 76.99, + "STS22 (cmn-Hans)": 66.82, + "STS22 (rus-Cyrl)": 59.89, + "STS22 (fra-Latn)": 76.77, + "STS22 (pol-Latn_eng-Latn)": 65.54, + "STS22 (deu-Latn)": 56.58, + "STS22 (pol-Latn)": 34.65, + "STS22 (zh)": 65.64, + "STS22 (pl)": 34.66, + "STSB (cmn-Hans)": 81.08, + "STSB": 81.08, + "STSBenchmark": 87.29, + "STSBenchmarkMultilingualSTS (cmn-Hans)": 81.22, + "STSBenchmarkMultilingualSTS (en)": 87.29, + "STSBenchmarkMultilingualSTS (pol-Latn)": 81.06, + "STSBenchmarkMultilingualSTS (nld-Latn)": 81.63, + "STSBenchmarkMultilingualSTS (ita-Latn)": 81.75, + "STSBenchmarkMultilingualSTS (rus-Cyrl)": 83.05, + "STSBenchmarkMultilingualSTS (por-Latn)": 73.31, + "STSBenchmarkMultilingualSTS (spa-Latn)": 83.81, + "STSBenchmarkMultilingualSTS (fra-Latn)": 83.28, + "STSBenchmarkMultilingualSTS (deu-Latn)": 84.27, + "STSBenchmarkMultilingualSTS (fr)": 82.53 } ] }, "Summarization": { "spearman": [ { - "Model": "LaBSE-en-ru" + "Model": "multilingual-e5-large", + "SummEval": 29.65, + "SummEvalFr (fra-Latn)": 30.92, + "SummEvalFr": 30.92 } ] }, "InstructionRetrieval": { "p-MRR": [ { - "Model": "LaBSE-en-ru" + "Model": "multilingual-e5-large" } ] } }, - "text2vec-base-chinese": { + "komninos": { "BitextMining": { "f1": [ { - "Model": "text2vec-base-chinese" + "Model": "komninos", + "BUCC (de-en)": 0.18, + "BUCC (fr-en)": 0.08, + "BUCC (ru-en)": 0.15, + "BUCC (zh-en)": 0.05, + "Tatoeba (afr-eng)": 4.82, + "Tatoeba (amh-eng)": 1.18, + "Tatoeba (ang-eng)": 8.54, + "Tatoeba (ara-eng)": 0.63, + "Tatoeba (arq-eng)": 0.4, + "Tatoeba (arz-eng)": 0.63, + "Tatoeba (ast-eng)": 11.69, + "Tatoeba (awa-eng)": 0.0, + "Tatoeba (aze-eng)": 3.22, + "Tatoeba (bel-eng)": 1.75, + "Tatoeba (ben-eng)": 0.2, + "Tatoeba (ber-eng)": 7.0, + "Tatoeba (bos-eng)": 9.31, + "Tatoeba (bre-eng)": 4.17, + "Tatoeba (bul-eng)": 1.29, + "Tatoeba (cat-eng)": 7.73, + "Tatoeba (cbk-eng)": 5.61, + "Tatoeba (ceb-eng)": 4.88, + "Tatoeba (ces-eng)": 3.55, + "Tatoeba (cha-eng)": 19.29, + "Tatoeba (cmn-eng)": 0.5, + "Tatoeba (cor-eng)": 4.15, + "Tatoeba (csb-eng)": 5.69, + "Tatoeba (cym-eng)": 8.4, + "Tatoeba (dan-eng)": 6.99, + "Tatoeba (deu-eng)": 3.67, + "Tatoeba (dsb-eng)": 5.33, + "Tatoeba (dtp-eng)": 4.25, + "Tatoeba (ell-eng)": 0.63, + "Tatoeba (epo-eng)": 2.45, + "Tatoeba (est-eng)": 2.69, + "Tatoeba (eus-eng)": 4.69, + "Tatoeba (fao-eng)": 7.61, + "Tatoeba (fin-eng)": 3.36, + "Tatoeba (fra-eng)": 7.0, + "Tatoeba (fry-eng)": 12.36, + "Tatoeba (gla-eng)": 3.07, + "Tatoeba (gle-eng)": 4.81, + "Tatoeba (glg-eng)": 8.12, + "Tatoeba (gsw-eng)": 18.87, + "Tatoeba (heb-eng)": 0.68, + "Tatoeba (hin-eng)": 0.1, + "Tatoeba (hrv-eng)": 5.41, + "Tatoeba (hsb-eng)": 6.32, + "Tatoeba (hun-eng)": 3.42, + "Tatoeba (hye-eng)": 0.97, + "Tatoeba (ido-eng)": 7.1, + "Tatoeba (ile-eng)": 13.61, + "Tatoeba (ina-eng)": 8.57, + "Tatoeba (ind-eng)": 7.26, + "Tatoeba (isl-eng)": 4.09, + "Tatoeba (ita-eng)": 5.54, + "Tatoeba (jav-eng)": 11.43, + "Tatoeba (jpn-eng)": 0.2, + "Tatoeba (kab-eng)": 2.71, + "Tatoeba (kat-eng)": 1.11, + "Tatoeba (kaz-eng)": 1.17, + "Tatoeba (khm-eng)": 0.55, + "Tatoeba (kor-eng)": 0.5, + "Tatoeba (kur-eng)": 8.55, + "Tatoeba (kzj-eng)": 4.61, + "Tatoeba (lat-eng)": 4.07, + "Tatoeba (lfn-eng)": 2.83, + "Tatoeba (lit-eng)": 0.95, + "Tatoeba (lvs-eng)": 3.25, + "Tatoeba (mal-eng)": 0.29, + "Tatoeba (mar-eng)": 0.2, + "Tatoeba (max-eng)": 14.53, + "Tatoeba (mhr-eng)": 0.2, + "Tatoeba (mkd-eng)": 0.2, + "Tatoeba (mon-eng)": 1.1, + "Tatoeba (nds-eng)": 10.37, + "Tatoeba (nld-eng)": 9.5, + "Tatoeba (nno-eng)": 4.49, + "Tatoeba (nob-eng)": 4.95, + "Tatoeba (nov-eng)": 14.53, + "Tatoeba (oci-eng)": 5.8, + "Tatoeba (orv-eng)": 0.24, + "Tatoeba (pam-eng)": 6.65, + "Tatoeba (pes-eng)": 0.5, + "Tatoeba (pms-eng)": 8.05, + "Tatoeba (pol-eng)": 5.13, + "Tatoeba (por-eng)": 5.87, + "Tatoeba (ron-eng)": 6.76, + "Tatoeba (rus-eng)": 0.2, + "Tatoeba (slk-eng)": 4.23, + "Tatoeba (slv-eng)": 6.05, + "Tatoeba (spa-eng)": 5.03, + "Tatoeba (sqi-eng)": 4.36, + "Tatoeba (srp-eng)": 1.77, + "Tatoeba (swe-eng)": 6.72, + "Tatoeba (swg-eng)": 8.54, + "Tatoeba (swh-eng)": 11.49, + "Tatoeba (tam-eng)": 1.3, + "Tatoeba (tat-eng)": 0.77, + "Tatoeba (tel-eng)": 0.85, + "Tatoeba (tgl-eng)": 2.61, + "Tatoeba (tha-eng)": 0.69, + "Tatoeba (tuk-eng)": 5.76, + "Tatoeba (tur-eng)": 5.24, + "Tatoeba (tzl-eng)": 15.51, + "Tatoeba (uig-eng)": 0.6, + "Tatoeba (ukr-eng)": 1.23, + "Tatoeba (urd-eng)": 0.4, + "Tatoeba (uzb-eng)": 4.73, + "Tatoeba (vie-eng)": 6.55, + "Tatoeba (war-eng)": 4.12, + "Tatoeba (wuu-eng)": 0.2, + "Tatoeba (xho-eng)": 4.33, + "Tatoeba (yid-eng)": 0.59, + "Tatoeba (yue-eng)": 0.5, + "Tatoeba (zsm-eng)": 7.27 } ] }, "Classification": { "accuracy": [ { - "Model": "text2vec-base-chinese", - "AmazonReviewsClassification (zh)": 34.12, - "IFlyTek": 42.05, - "JDReview": 82.14, - "MassiveIntentClassification (zh-CN)": 63.98, - "MassiveScenarioClassification (zh-CN)": 70.52, - "MultilingualSentiment": 60.98, - "OnlineShopping": 85.69, - "TNews": 43.01, - "Waimai": 77.22 + "Model": "komninos", + "AmazonCounterfactualClassification (en)": 60.54, + "AmazonPolarityClassification": 59.59, + "AmazonReviewsClassification (en)": 31.01, + "Banking77Classification": 67.05, + "EmotionClassification": 33.18, + "ImdbClassification": 63.98, + "MTOPDomainClassification (en)": 78.57, + "MTOPIntentClassification (en)": 57.07, + "MassiveIntentClassification (en)": 57.21, + "MassiveScenarioClassification (en)": 66.11, + "ToxicConversationsClassification": 67.76, + "TweetSentimentExtractionClassification": 49.68 } ] }, "Clustering": { "v_measure": [ { - "Model": "text2vec-base-chinese", - "CLSClusteringP2P": 35.27, - "CLSClusteringS2S": 32.42, - "ThuNewsClusteringP2P": 42.92, - "ThuNewsClusteringS2S": 40.01 + "Model": "komninos", + "ArxivClusteringP2P": 34.73, + "ArxivClusteringS2S": 26.01, + "BiorxivClusteringP2P": 29.76, + "BiorxivClusteringS2S": 20.71, + "BlurbsClusteringP2P": 11.37, + "BlurbsClusteringS2S": 8.01, + "MedrxivClusteringP2P": 26.65, + "MedrxivClusteringS2S": 21.5, + "RedditClustering": 28.84, + "RedditClusteringP2P": 7.37, + "StackExchangeClustering": 39.04, + "StackExchangeClusteringP2P": 30.23, + "TenKGnadClusteringP2P": 15.89, + "TenKGnadClusteringS2S": 4.84, + "TwentyNewsgroupsClustering": 27.42 } ] }, "PairClassification": { "ap": [ { - "Model": "text2vec-base-chinese", - "Cmnli": 73.87, - "Ocnli": 60.95 + "Model": "komninos", + "SprintDuplicateQuestions": 85.55, + "TwitterSemEval2015": 53.85, + "TwitterURLCorpus": 79.41 } ] }, "Reranking": { "map": [ { - "Model": "text2vec-base-chinese", - "CMedQAv1": 59.26, - "CMedQAv2": 59.82, - "MMarcoReranking": 12.76, - "T2Reranking": 65.95 + "Model": "komninos", + "AskUbuntuDupQuestions": 50.88, + "MindSmallReranking": 28.92, + "SciDocsRR": 63.55, + "StackOverflowDupQuestions": 35.65 } ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "text2vec-base-chinese", - "CmedqaRetrieval": 15.91, - "CovidRetrieval": 44.81, - "DuRetrieval": 52.23, - "EcomRetrieval": 34.6, - "MMarcoRetrieval": 44.06, - "MedicalRetrieval": 27.56, - "T2Retrieval": 51.67, - "VideoRetrieval": 39.52 + }, + "Retrieval": { + "ndcg_at_10": [ + { + "Model": "komninos", + "ArguAna": 30.96, + "CQADupstackRetrieval": 16.79, + "ClimateFEVER": 14.87, + "DBPedia": 15.88, + "FEVER": 15.56, + "FiQA2018": 10.49, + "HotpotQA": 20.77, + "MSMARCO": 9.75, + "NFCorpus": 11.79, + "NQ": 12.75, + "QuoraRetrieval": 71.57, + "SCIDOCS": 8.47, + "SciFact": 29.53, + "TRECCOVID": 35.92, + "Touche2020": 13.17 } ] }, "STS": { "spearman": [ { - "Model": "text2vec-base-chinese", - "AFQMC": 26.06, - "ATEC": 31.93, - "BQ": 42.67, - "LCQMC": 70.16, - "PAWSX": 17.21, - "QBQTC": 24.62, - "STS22 (zh)": 55.35, - "STSB": 79.3 + "Model": "komninos", + "BIOSSES": 50.25, + "SICK-R": 55.49, + "STS12": 53.51, + "STS13": 70.8, + "STS14": 63.56, + "STS15": 74.08, + "STS16": 64.6, + "STS17 (ar-ar)": 13.78, + "STS17 (en-ar)": 9.08, + "STS17 (en-de)": -3.11, + "STS17 (en-en)": 76.91, + "STS17 (en-tr)": -0.45, + "STS17 (es-en)": -8.18, + "STS17 (es-es)": 48.23, + "STS17 (fr-en)": 5.81, + "STS17 (it-en)": 3.64, + "STS17 (ko-ko)": 2.54, + "STS17 (nl-en)": 0.44, + "STS22 (ar)": 32.42, + "STS22 (de)": 33.04, + "STS22 (de-en)": 28.65, + "STS22 (de-fr)": 14.77, + "STS22 (de-pl)": 11.21, + "STS22 (en)": 53.89, + "STS22 (es)": 48.53, + "STS22 (es-en)": 26.97, + "STS22 (es-it)": 41.1, + "STS22 (fr)": 49.43, + "STS22 (fr-pl)": 39.44, + "STS22 (it)": 57.77, + "STS22 (pl)": 12.47, + "STS22 (pl-en)": 45.55, + "STS22 (ru)": 19.44, + "STS22 (tr)": 47.38, + "STS22 (zh)": 4.78, + "STS22 (zh-en)": 14.05, + "STSBenchmark": 61.55 } ] }, "Summarization": { "spearman": [ { - "Model": "text2vec-base-chinese" + "Model": "komninos", + "SummEval": 30.49 } ] }, "InstructionRetrieval": { "p-MRR": [ { - "Model": "text2vec-base-chinese" + "Model": "komninos" } ] } }, - 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89.21, + "STS16": 84.74, + "STS17 (en-en)": 90.73, + "STS22 (en)": 62.1, + "STSBenchmark": 89.86 } ] }, "Summarization": { "spearman": [ { - "Model": "herbert-base-retrieval-v2" + "Model": "voyage-lite-01-instruct", + "SummEval": 30.97 } ] }, "InstructionRetrieval": { "p-MRR": [ { - "Model": "herbert-base-retrieval-v2" + "Model": "voyage-lite-01-instruct" } ] } }, - "voyage-law-2": { + "nomic-embed-text-v1.5-256": { "BitextMining": { "f1": [ { - "Model": "voyage-law-2" + "Model": "nomic-embed-text-v1.5-256" } ] }, "Classification": { "accuracy": [ { - "Model": "voyage-law-2", - "AmazonReviewsClassification (fr)": 41.98, - "MTOPDomainClassification (fr)": 90.12, - "MTOPIntentClassification (fr)": 62.44, - "MasakhaNEWSClassification (fra)": 76.42, - "MassiveIntentClassification (fr)": 66.94, - "MassiveScenarioClassification (fr)": 72.78 + "Model": "nomic-embed-text-v1.5-256", + "AmazonCounterfactualClassification (en)": 72.94, + "AmazonPolarityClassification": 91.35, + 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"T2Reranking": 65.9 } ] }, "Retrieval": { "ndcg_at_10": [ { - "Model": "komninos", - "ArguAna": 30.96, - "CQADupstackRetrieval": 16.79, - "ClimateFEVER": 14.87, - "DBPedia": 15.88, - "FEVER": 15.56, - "FiQA2018": 10.49, - "HotpotQA": 20.77, - "MSMARCO": 9.75, - "NFCorpus": 11.79, - "NQ": 12.75, - "QuoraRetrieval": 71.57, - "SCIDOCS": 8.47, - "SciFact": 29.53, - "TRECCOVID": 35.92, - "Touche2020": 13.17 - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "komninos", - "BIOSSES": 50.25, - "SICK-R": 55.49, - "STS12": 53.51, - "STS13": 70.8, - "STS14": 63.56, - "STS15": 74.08, - "STS16": 64.6, - "STS17 (ar-ar)": 13.78, - "STS17 (en-ar)": 9.08, - "STS17 (en-de)": -3.11, - "STS17 (en-en)": 76.91, - "STS17 (en-tr)": -0.45, - "STS17 (es-en)": -8.18, - "STS17 (es-es)": 48.23, - "STS17 (fr-en)": 5.81, - "STS17 (it-en)": 3.64, - "STS17 (ko-ko)": 2.54, - "STS17 (nl-en)": 0.44, - "STS22 (ar)": 32.42, - "STS22 (de)": 33.04, - "STS22 (de-en)": 28.65, - "STS22 (de-fr)": 14.77, - "STS22 (de-pl)": 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"bge-small-zh-v1.5" } ] } }, - "voyage-lite-01-instruct": { + "nb-bert-large": { "BitextMining": { "f1": [ { - "Model": "voyage-lite-01-instruct" + "Model": "nb-bert-large", + "BornholmBitextMining": 4.53 } ] }, "Classification": { "accuracy": [ { - "Model": "voyage-lite-01-instruct", - "AmazonCounterfactualClassification (en)": 71.43, - "AmazonPolarityClassification": 96.41, - "AmazonReviewsClassification (en)": 57.06, - "Banking77Classification": 81.64, - "EmotionClassification": 48.29, - "ImdbClassification": 95.49, - "MTOPDomainClassification (en)": 96.3, - "MTOPIntentClassification (en)": 67.93, - "MassiveIntentClassification (en)": 71.29, - "MassiveScenarioClassification (en)": 76.74, - "ToxicConversationsClassification": 75.45, - "TweetSentimentExtractionClassification": 59.44 + "Model": "nb-bert-large", + "AngryTweetsClassification": 52.14, + "DKHateClassification": 62.13, + "DanishPoliticalCommentsClassification": 35.04, + "LccSentimentClassification": 56.27, + 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40.31 } ] }, "PairClassification": { "ap": [ { - "Model": "nomic-embed-text-v1.5-256", - "SprintDuplicateQuestions": 92.31, - "TwitterSemEval2015": 73.61, - "TwitterURLCorpus": 86.34 + "Model": "universal-sentence-encoder-multilingual-3", + "OpusparcusPC (fr)": 91.46, + "PawsXPairClassification (fr)": 52.39 } ] }, "Reranking": { "map": [ { - "Model": "nomic-embed-text-v1.5-256", - "AskUbuntuDupQuestions": 61.34, - "MindSmallReranking": 30.04, - "SciDocsRR": 79.4, - "StackOverflowDupQuestions": 49.95 + "Model": "universal-sentence-encoder-multilingual-3", + "AlloprofReranking": 56.23, + "SyntecReranking": 73.85 } ] }, "Retrieval": { "ndcg_at_10": [ { - "Model": "nomic-embed-text-v1.5-256", - "ArguAna": 45.44, - "CQADupstackRetrieval": 37.61, - "ClimateFEVER": 39.63, - "DBPedia": 39.42, - "FEVER": 84.4, - "FiQA2018": 35.0, - "HotpotQA": 67.78, - "MSMARCO": 41.38, - "NFCorpus": 32.54, - "NQ": 57.1, - "QuoraRetrieval": 87.65, - "SCIDOCS": 16.76, - "SciFact": 68.24, - "TRECCOVID": 80.65, - 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"universal-sentence-encoder-multilingual-3" } ] } }, - "e5-mistral-7b-instruct-noinstruct": { + "LaBSE-ru-turbo": { "BitextMining": { "f1": [ { - "Model": "e5-mistral-7b-instruct-noinstruct" + "Model": "LaBSE-ru-turbo", + "Tatoeba (rus-Cyrl_eng-Latn)": 93.22 } ] }, "Classification": { "accuracy": [ { - "Model": "e5-mistral-7b-instruct-noinstruct" + "Model": "LaBSE-ru-turbo", + "GeoreviewClassification (rus-Cyrl)": 46.04, + "HeadlineClassification (rus-Cyrl)": 69.98, + "InappropriatenessClassification (rus-Cyrl)": 61.39, + "KinopoiskClassification (rus-Cyrl)": 53.59, + "MassiveIntentClassification (rus-Cyrl)": 66.08, + "MassiveScenarioClassification (rus-Cyrl)": 71.13, + "RuReviewsClassification (rus-Cyrl)": 64.58, + "RuSciBenchGRNTIClassification (rus-Cyrl)": 56.67, + "RuSciBenchOECDClassification (rus-Cyrl)": 43.58 } ] }, "Clustering": { "v_measure": [ { - "Model": "e5-mistral-7b-instruct-noinstruct" + "Model": "LaBSE-ru-turbo", + "GeoreviewClusteringP2P (rus-Cyrl)": 64.55, + 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69.36, + "RuBQRetrieval (rus-Cyrl)": 65.71 } ] }, "STS": { "spearman": [ { - "Model": "e5-mistral-7b-instruct-noinstruct" + "Model": "LaBSE-ru-turbo", + "RUParaPhraserSTS (rus-Cyrl)": 72.97, + "RuSTSBenchmarkSTS (rus-Cyrl)": 81.77, + "STS22 (rus-Cyrl)": 62.89, + "STSBenchmarkMultilingualSTS (rus-Cyrl)": 81.81 } ] }, "Summarization": { "spearman": [ { - "Model": "e5-mistral-7b-instruct-noinstruct" + "Model": "LaBSE-ru-turbo" } ] }, "InstructionRetrieval": { "p-MRR": [ { - "Model": "e5-mistral-7b-instruct-noinstruct" + "Model": "LaBSE-ru-turbo" } ] } }, - "e5-base-4k": { + "bge-large-zh-noinstruct": { "BitextMining": { "f1": [ { - "Model": "e5-base-4k" + "Model": "bge-large-zh-noinstruct" } ] }, "Classification": { "accuracy": [ { - "Model": "e5-base-4k" + "Model": "bge-large-zh-noinstruct", + "AmazonReviewsClassification (zh)": 41.94, + "IFlyTek": 45.32, + "JDReview": 85.38, + "MassiveIntentClassification (zh-CN)": 66.96, + "MassiveScenarioClassification (zh-CN)": 73.39, + 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"BrightRetrieval (psychology)": 47.72, + "BrightRetrieval (pony)": 2.0, + "BrightRetrieval (economics)": 24.27, + "BrightRetrieval (robotics)": 17.33 } ] }, + "STS": { + "spearman": [] + }, "Summarization": { - "spearman": [ - { - "Model": "bge-large-zh-noinstruct" - } - ] + "spearman": [] }, "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "bge-large-zh-noinstruct" - } - ] + "p-MRR": [] } }, - "bm25s": { + "Cohere-embed-english-v3.0": { "BitextMining": { - "f1": [ - { - "Model": "bm25s" - } - ] + "f1": [] }, "Classification": { - "accuracy": [ - { - "Model": "bm25s" - } - ] + "accuracy": [] }, "Clustering": { - "v_measure": [ - { - "Model": "bm25s" - } - ] + "v_measure": [] }, "PairClassification": { - "ap": [ - { - "Model": "bm25s" - } - ] + "ap": [] }, "Reranking": { - "map": [ - { - "Model": "bm25s" - } - ] + "map": [] }, "Retrieval": { "ndcg_at_10": [ { - "Model": "bm25s", - "ArguAna": 49.28, - "CQADupstackRetrieval": 31.86, - "ClimateFEVER": 13.62, - "DBPedia": 29.91, - "FEVER": 48.09, - "FiQA2018": 25.14, - "HotpotQA": 56.91, - "MSMARCO": 21.89, - "NFCorpus": 32.08, - "NQ": 28.5, - "QuoraRetrieval": 80.42, - "SCIDOCS": 15.78, - "SciFact": 68.7, - "TRECCOVID": 62.31, - "Touche2020": 33.05 + "Model": "Cohere-embed-english-v3.0", + "AILACasedocs": 31.54, + "AILAStatutes": 27.15, + "ARCChallenge": 9.89, + "AlphaNLI": 15.1, + "BrightRetrieval (psychology)": 21.82, + "BrightRetrieval (economics)": 20.18, + "BrightRetrieval (robotics)": 16.21, + "BrightRetrieval (biology)": 18.98, + "BrightRetrieval (stackoverflow)": 16.47, + "BrightRetrieval (theoremqa_theorems)": 7.14, + "BrightRetrieval (pony)": 1.77, + "BrightRetrieval (sustainable_living)": 17.69, + "BrightRetrieval (aops)": 6.46, + "BrightRetrieval (theoremqa_questions)": 15.07, + "BrightRetrieval (leetcode)": 26.78, + "BrightRetrieval (earth_science)": 27.45, + "GerDaLIRSmall": 6.05, + "HellaSwag": 26.35, + "LeCaRDv2": 21.02, + "LegalBenchConsumerContractsQA": 77.12, + "LegalBenchCorporateLobbying": 93.68, + "LegalQuAD": 26.08, + "LegalSummarization": 61.7, + "PIQA": 28.49, + "Quail": 4.1, + "RARbCode": 57.19, + "RARbMath": 72.26, + "SIQA": 4.26, + "SpartQA": 3.75, + "TempReasonL1": 1.5, + "TempReasonL2Fact": 35.91, + "TempReasonL2Pure": 1.89, + "TempReasonL3Fact": 27.51, + "TempReasonL3Pure": 8.53, + "WinoGrande": 58.01 } - ] - }, - "STS": { - "spearman": [ + ], + "recall_at_1": [ { - "Model": "bm25s" + "Model": "Cohere-embed-english-v3.0", + "BrightRetrieval (robotics)": 9.9, + "BrightRetrieval (psychology)": 20.5, + "BrightRetrieval (biology)": 31.47, + "BrightRetrieval (economics)": 17.96, + "BrightRetrieval (stackoverflow)": 15.81, + "BrightRetrieval (pony)": 0.84, + "BrightRetrieval (sustainable_living)": 15.23, + "BrightRetrieval (earth_science)": 35.49 } ] }, + "STS": { + "spearman": [] + }, "Summarization": { - "spearman": [ - { - "Model": "bm25s" - } - ] + "spearman": [] }, "InstructionRetrieval": { "p-MRR": [ { - "Model": "bm25s" + "Model": "Cohere-embed-english-v3.0", + "Core17InstructionRetrieval": 2.8, + "News21InstructionRetrieval": 0.2, + "Robust04InstructionRetrieval": -3.63 } ] } diff --git a/all_data_tasks/0/default.jsonl b/all_data_tasks/0/default.jsonl index d80561ff67c2f77665f1141b82ad02f26d052708..f5029c74ddc0188575ddc6098da157b3f6a08680 100644 --- a/all_data_tasks/0/default.jsonl +++ b/all_data_tasks/0/default.jsonl @@ -18,8 +18,8 @@ {"index":170,"Rank":18,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":78.47,"AmazonCounterfactualClassification (en)":78.69,"AmazonPolarityClassification":95.91,"AmazonReviewsClassification (en)":55.79,"Banking77Classification":88.23,"EmotionClassification":49.77,"ImdbClassification":94.78,"MassiveIntentClassification (en)":80.57,"MassiveScenarioClassification (en)":82.39,"MTOPDomainClassification (en)":96.12,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":69.59,"TweetSentimentExtractionClassification":63.72} 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(fr)":"","SICKFr":""} +{"index":31,"Rank":68,"Model":"SGPT-125M-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":"","STS22 (fr)":67.66,"STSBenchmarkMultilingualSTS (fr)":"","SICKFr":""} +{"index":32,"Rank":69,"Model":"SGPT-125M-weightedmean-nli-bitfit<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":"","STS22 (fr)":54.56,"STSBenchmarkMultilingualSTS (fr)":"","SICKFr":""} +{"index":36,"Rank":71,"Model":"Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","STS22 (fr)":81.47,"STSBenchmarkMultilingualSTS (fr)":"","SICKFr":""} +{"index":37,"Rank":72,"Model":"sgpt-bloom-1b7-nli<\/a>","Model Size (Million Parameters)":1722,"Memory Usage (GB, fp32)":6.42,"Average":"","STS22 (fr)":73.13,"STSBenchmarkMultilingualSTS (fr)":"","SICKFr":""} +{"index":38,"Rank":73,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million 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{"index":68,"Rank":84,"Model":"allenai-specter<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","STS22 (fr)":53.92,"STSBenchmarkMultilingualSTS (fr)":"","SICKFr":""} {"index":69,"Rank":85,"Model":"komninos<\/a>","Model Size (Million Parameters)":134,"Memory Usage (GB, fp32)":0.5,"Average":"","STS22 (fr)":49.43,"STSBenchmarkMultilingualSTS (fr)":"","SICKFr":""} diff --git a/all_data_tasks/22/default.jsonl b/all_data_tasks/22/default.jsonl index 1ea519e24ca67b8e8d38c504c85fc1fdf16f0680..f717ba656c617f286e2945982e11117850a9892d 100644 --- a/all_data_tasks/22/default.jsonl +++ b/all_data_tasks/22/default.jsonl @@ -1,57 +1,56 @@ {"index":62,"Rank":1,"Model":"sentence_croissant_alpha_v0.3<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":32.46} -{"index":52,"Rank":2,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"SummEvalFr":32.22} -{"index":56,"Rank":3,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":31.85} -{"index":28,"Rank":4,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":31.62} -{"index":78,"Rank":5,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEvalFr":31.59} -{"index":5,"Rank":6,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"SummEvalFr":31.56} -{"index":29,"Rank":7,"Model":"bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":31.55} -{"index":0,"Rank":8,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47} -{"index":9,"Rank":9,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, 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-{"index":1,"Rank":16,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.88} -{"index":53,"Rank":17,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":30.76} -{"index":51,"Rank":18,"Model":"bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.72} -{"index":90,"Rank":19,"Model":"text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.5} -{"index":8,"Rank":20,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"SummEvalFr":30.5} -{"index":79,"Rank":21,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEvalFr":30.39} -{"index":3,"Rank":22,"Model":"voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.34} -{"index":27,"Rank":23,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.3} -{"index":60,"Rank":24,"Model":"sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.28} -{"index":61,"Rank":25,"Model":"sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27} -{"index":77,"Rank":26,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23} -{"index":63,"Rank":27,"Model":"sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22} +{"index":56,"Rank":2,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":31.85} +{"index":28,"Rank":3,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":31.62} +{"index":78,"Rank":4,"Model":"sentence-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"SummEvalFr":31.59} +{"index":5,"Rank":5,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"SummEvalFr":31.56} +{"index":29,"Rank":6,"Model":"bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":31.55} +{"index":0,"Rank":7,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.47} +{"index":9,"Rank":8,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"SummEvalFr":31.45} +{"index":15,"Rank":9,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, 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+{"index":60,"Rank":23,"Model":"sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.28} +{"index":61,"Rank":24,"Model":"sentence_croissant_alpha_v0.2<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.27} +{"index":77,"Rank":25,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"SummEvalFr":30.23} +{"index":63,"Rank":26,"Model":"sentence_croissant_alpha_v0.4<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.22} +{"index":26,"Rank":27,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":30.16} {"index":64,"Rank":28,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"SummEvalFr":30.16} -{"index":26,"Rank":29,"Model":"bilingual-embedding-base<\/a>","Model Size (Million 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-{"index":57,"Rank":36,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.48} -{"index":75,"Rank":37,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.47} -{"index":48,"Rank":38,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.43} -{"index":84,"Rank":39,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.33} -{"index":49,"Rank":40,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"SummEvalFr":29.25} -{"index":74,"Rank":41,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":29.2} -{"index":87,"Rank":42,"Model":"xlm-roberta-base<\/a>","Model Size (Million 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-{"index":42,"Rank":49,"Model":"sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":28.77} -{"index":7,"Rank":50,"Model":"llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.72} -{"index":86,"Rank":51,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.56} -{"index":2,"Rank":52,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.34} -{"index":66,"Rank":53,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":28.28} -{"index":85,"Rank":54,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.21} -{"index":70,"Rank":55,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"SummEvalFr":28.12} -{"index":73,"Rank":56,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":27.59} -{"index":58,"Rank":57,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":23.63} +{"index":59,"Rank":29,"Model":"bge-m3-custom-fr<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"SummEvalFr":30.13} +{"index":76,"Rank":30,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":30.01} +{"index":4,"Rank":31,"Model":"voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.96} +{"index":10,"Rank":32,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"SummEvalFr":29.74} +{"index":34,"Rank":33,"Model":"Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":29.69} +{"index":89,"Rank":34,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.65} +{"index":57,"Rank":35,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.48} +{"index":75,"Rank":36,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.47} +{"index":48,"Rank":37,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.43} +{"index":84,"Rank":38,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.33} +{"index":49,"Rank":39,"Model":"flaubert_large_cased<\/a>","Model Size (Million 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+{"index":22,"Rank":46,"Model":"bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":28.84} +{"index":50,"Rank":47,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"SummEvalFr":28.81} +{"index":42,"Rank":48,"Model":"sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":28.77} +{"index":7,"Rank":49,"Model":"llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.72} +{"index":86,"Rank":50,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.56} +{"index":2,"Rank":51,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.34} +{"index":66,"Rank":52,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":28.28} +{"index":85,"Rank":53,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.21} +{"index":70,"Rank":54,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"SummEvalFr":28.12} +{"index":73,"Rank":55,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":27.59} +{"index":58,"Rank":56,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":23.63} diff --git a/all_data_tasks/24/default.jsonl b/all_data_tasks/24/default.jsonl index 65866e767e2f5be3985e2e532f00f237fe5f85ff..caa5b8d1ec931d61cc7e6606a58a9f56291a08f8 100644 --- a/all_data_tasks/24/default.jsonl +++ b/all_data_tasks/24/default.jsonl @@ -11,11 +11,12 @@ {"index":13,"Rank":11,"Model":"e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":-1.06,"Core17InstructionRetrieval":0.12,"News21InstructionRetrieval":0.87,"Robust04InstructionRetrieval":-4.16} {"index":6,"Rank":12,"Model":"monot5-base-msmarco-10k<\/a>","Model Size (Million Parameters)":220,"Memory Usage (GB, fp32)":0.82,"Average":-1.75,"Core17InstructionRetrieval":-4.06,"News21InstructionRetrieval":5.02,"Robust04InstructionRetrieval":-6.2} {"index":1,"Rank":13,"Model":"bm25<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.09,"Core17InstructionRetrieval":-1.06,"News21InstructionRetrieval":-2.15,"Robust04InstructionRetrieval":-3.06} -{"index":20,"Rank":14,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.68,"Core17InstructionRetrieval":-0.2,"News21InstructionRetrieval":-2.03,"Robust04InstructionRetrieval":-5.81} +{"index":21,"Rank":14,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.68,"Core17InstructionRetrieval":-0.2,"News21InstructionRetrieval":-2.03,"Robust04InstructionRetrieval":-5.81} {"index":11,"Rank":15,"Model":"instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":-2.76,"Core17InstructionRetrieval":0.69,"News21InstructionRetrieval":-0.9,"Robust04InstructionRetrieval":-8.08} -{"index":14,"Rank":16,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":-3.45,"Core17InstructionRetrieval":0.09,"News21InstructionRetrieval":-0.86,"Robust04InstructionRetrieval":-9.59} -{"index":4,"Rank":17,"Model":"monobert-large-msmarco<\/a>","Model Size (Million Parameters)":770,"Memory Usage (GB, fp32)":2.87,"Average":-3.47,"Core17InstructionRetrieval":-0.24,"News21InstructionRetrieval":-0.8,"Robust04InstructionRetrieval":-9.36} -{"index":18,"Rank":18,"Model":"contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.81,"Core17InstructionRetrieval":-2.48,"News21InstructionRetrieval":-2.83,"Robust04InstructionRetrieval":-6.12} -{"index":12,"Rank":19,"Model":"e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.88,"Core17InstructionRetrieval":-2.9,"News21InstructionRetrieval":-2.0,"Robust04InstructionRetrieval":-6.73} -{"index":10,"Rank":20,"Model":"instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-4.43,"Core17InstructionRetrieval":-1.09,"News21InstructionRetrieval":-1.78,"Robust04InstructionRetrieval":-10.42} -{"index":19,"Rank":21,"Model":"tart-dual-contriever-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-5.0,"Core17InstructionRetrieval":-3.04,"News21InstructionRetrieval":-2.98,"Robust04InstructionRetrieval":-8.98} +{"index":20,"Rank":16,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.08,"Core17InstructionRetrieval":-0.74,"News21InstructionRetrieval":-1.79,"Robust04InstructionRetrieval":-6.71} +{"index":14,"Rank":17,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":-3.45,"Core17InstructionRetrieval":0.09,"News21InstructionRetrieval":-0.86,"Robust04InstructionRetrieval":-9.59} +{"index":4,"Rank":18,"Model":"monobert-large-msmarco<\/a>","Model Size (Million Parameters)":770,"Memory Usage (GB, fp32)":2.87,"Average":-3.47,"Core17InstructionRetrieval":-0.24,"News21InstructionRetrieval":-0.8,"Robust04InstructionRetrieval":-9.36} +{"index":18,"Rank":19,"Model":"contriever-base-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.81,"Core17InstructionRetrieval":-2.48,"News21InstructionRetrieval":-2.83,"Robust04InstructionRetrieval":-6.12} +{"index":12,"Rank":20,"Model":"e5-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.88,"Core17InstructionRetrieval":-2.9,"News21InstructionRetrieval":-2.0,"Robust04InstructionRetrieval":-6.73} +{"index":10,"Rank":21,"Model":"instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-4.43,"Core17InstructionRetrieval":-1.09,"News21InstructionRetrieval":-1.78,"Robust04InstructionRetrieval":-10.42} +{"index":19,"Rank":22,"Model":"tart-dual-contriever-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-5.0,"Core17InstructionRetrieval":-3.04,"News21InstructionRetrieval":-2.98,"Robust04InstructionRetrieval":-8.98} diff --git a/all_data_tasks/27/default.jsonl b/all_data_tasks/27/default.jsonl index 102730a91c9371386bb8fd8ccd5044c633abaa82..b438100ab77ef31de59fefbdd5dd47040c64b213 100644 --- a/all_data_tasks/27/default.jsonl +++ b/all_data_tasks/27/default.jsonl @@ -1,8 +1,8 @@ {"index":7,"Rank":1,"Model":"gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97} {"index":17,"Rank":2,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69} -{"index":1,"Rank":3,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} -{"index":11,"Rank":4,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} -{"index":5,"Rank":5,"Model":"jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} +{"index":11,"Rank":3,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} +{"index":5,"Rank":4,"Model":"jina-embeddings-v2-base-de-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} +{"index":1,"Rank":5,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} {"index":4,"Rank":6,"Model":"German_Semantic_STS_V2<\/a>","Model Size (Million Parameters)":336,"Memory Usage (GB, fp32)":1.25,"Average":29.5,"BlurbsClusteringP2P":38.68,"BlurbsClusteringS2S":17.62,"TenKGnadClusteringP2P":38.0,"TenKGnadClusteringS2S":23.71} {"index":16,"Rank":7,"Model":"sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":27.49,"BlurbsClusteringP2P":35.33,"BlurbsClusteringS2S":13.27,"TenKGnadClusteringP2P":44.11,"TenKGnadClusteringS2S":17.26} {"index":14,"Rank":8,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":27.04,"BlurbsClusteringP2P":34.38,"BlurbsClusteringS2S":15.81,"TenKGnadClusteringP2P":35.96,"TenKGnadClusteringS2S":22.0} diff --git a/all_data_tasks/3/default.jsonl b/all_data_tasks/3/default.jsonl index 5ab217a3c8491fa7ad143b0cbc3e943e17ae0e7e..1ee021d7782cd2efd7acaed75dabe2a665fb19c0 100644 --- a/all_data_tasks/3/default.jsonl +++ b/all_data_tasks/3/default.jsonl @@ -27,17 +27,17 @@ {"index":70,"Rank":27,"Model":"LLM2Vec-Meta-Llama-3-supervised<\/a>","Model Size (Million Parameters)":7505,"Memory Usage (GB, fp32)":27.96,"Average":59.68,"AskUbuntuDupQuestions":65.19,"MindSmallReranking":32.67,"SciDocsRR":86.05,"StackOverflowDupQuestions":54.82} {"index":127,"Rank":28,"Model":"GIST-Embedding-v0<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":59.37,"AskUbuntuDupQuestions":62.69,"MindSmallReranking":32.36,"SciDocsRR":87.72,"StackOverflowDupQuestions":54.72} {"index":242,"Rank":29,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":59.36,"AskUbuntuDupQuestions":65.85,"MindSmallReranking":30.97,"SciDocsRR":88.65,"StackOverflowDupQuestions":51.98} -{"index":306,"Rank":30,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":59.16,"AskUbuntuDupQuestions":65.03,"MindSmallReranking":29.86,"SciDocsRR":86.66,"StackOverflowDupQuestions":55.08} +{"index":307,"Rank":30,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":59.16,"AskUbuntuDupQuestions":65.03,"MindSmallReranking":29.86,"SciDocsRR":86.66,"StackOverflowDupQuestions":55.08} {"index":267,"Rank":31,"Model":"gte-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":59.13,"AskUbuntuDupQuestions":63.06,"MindSmallReranking":32.63,"SciDocsRR":87.2,"StackOverflowDupQuestions":53.63} {"index":210,"Rank":32,"Model":"bge-base-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.94,"AskUbuntuDupQuestions":62.39,"MindSmallReranking":31.89,"SciDocsRR":87.05,"StackOverflowDupQuestions":54.45} {"index":206,"Rank":33,"Model":"mxbai-embed-2d-large-v1<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":58.94,"AskUbuntuDupQuestions":63.77,"MindSmallReranking":31.85,"SciDocsRR":86.98,"StackOverflowDupQuestions":53.16} {"index":1,"Rank":34,"Model":"google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":58.9,"AskUbuntuDupQuestions":64.4,"MindSmallReranking":33.07,"SciDocsRR":83.59,"StackOverflowDupQuestions":54.56} {"index":193,"Rank":35,"Model":"privacy_embedding_rag_10k_base_15_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} -{"index":195,"Rank":36,"Model":"privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} -{"index":21,"Rank":37,"Model":"bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} -{"index":194,"Rank":38,"Model":"privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} -{"index":192,"Rank":39,"Model":"privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} -{"index":132,"Rank":40,"Model":"bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} +{"index":132,"Rank":36,"Model":"bge-base-en-v1-5-seqlen-384-bs-1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} +{"index":194,"Rank":37,"Model":"privacy_embedding_rag_10k_base_checkpoint_2<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} +{"index":192,"Rank":38,"Model":"privacy_embedding_rag_10k_base_12_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} +{"index":195,"Rank":39,"Model":"privacy_embedding_rag_10k_base_final<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} +{"index":21,"Rank":40,"Model":"bge-base-en-v1.5<\/a>","Model Size (Million Parameters)":438,"Memory Usage (GB, fp32)":1.63,"Average":58.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":31.2,"SciDocsRR":87.49,"StackOverflowDupQuestions":54.61} {"index":165,"Rank":41,"Model":"stella-base-en-v2<\/a>","Model Size (Million Parameters)":55,"Memory Usage (GB, fp32)":0.2,"Average":58.78,"AskUbuntuDupQuestions":62.72,"MindSmallReranking":31.91,"SciDocsRR":86.66,"StackOverflowDupQuestions":53.81} {"index":266,"Rank":42,"Model":"gte-base<\/a>","Model Size (Million Parameters)":109,"Memory Usage (GB, fp32)":0.41,"Average":58.61,"AskUbuntuDupQuestions":61.8,"MindSmallReranking":32.54,"SciDocsRR":87.08,"StackOverflowDupQuestions":53.01} {"index":175,"Rank":43,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":58.58,"AskUbuntuDupQuestions":63.89,"MindSmallReranking":33.09,"SciDocsRR":85.87,"StackOverflowDupQuestions":51.45} @@ -53,7 +53,7 @@ {"index":205,"Rank":53,"Model":"all-MiniLM-L6-v2-ds<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76} {"index":241,"Rank":54,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":58.04,"AskUbuntuDupQuestions":63.48,"MindSmallReranking":30.8,"SciDocsRR":87.12,"StackOverflowDupQuestions":50.76} {"index":36,"Rank":55,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":58.01,"AskUbuntuDupQuestions":61.7,"MindSmallReranking":32.67,"SciDocsRR":85.2,"StackOverflowDupQuestions":52.48} -{"index":305,"Rank":56,"Model":"text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.99,"AskUbuntuDupQuestions":64.61,"MindSmallReranking":29.63,"SciDocsRR":84.25,"StackOverflowDupQuestions":53.46} +{"index":306,"Rank":56,"Model":"text-embedding-3-large-256<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.99,"AskUbuntuDupQuestions":64.61,"MindSmallReranking":29.63,"SciDocsRR":84.25,"StackOverflowDupQuestions":53.46} {"index":128,"Rank":57,"Model":"GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36} {"index":214,"Rank":58,"Model":"bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75} {"index":38,"Rank":59,"Model":"Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4} @@ -69,15 +69,15 @@ {"index":198,"Rank":69,"Model":"XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.12,"AskUbuntuDupQuestions":62.73,"MindSmallReranking":30.81,"SciDocsRR":85.11,"StackOverflowDupQuestions":49.85} {"index":280,"Rank":70,"Model":"jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05} {"index":188,"Rank":71,"Model":"jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":137,"Memory Usage (GB, fp32)":0.51,"Average":56.98,"AskUbuntuDupQuestions":62.25,"MindSmallReranking":30.54,"SciDocsRR":83.1,"StackOverflowDupQuestions":52.05} -{"index":307,"Rank":72,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53} +{"index":308,"Rank":72,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.72,"AskUbuntuDupQuestions":62.18,"MindSmallReranking":29.93,"SciDocsRR":83.25,"StackOverflowDupQuestions":51.53} {"index":250,"Rank":73,"Model":"gtr-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":56.66,"AskUbuntuDupQuestions":63.23,"MindSmallReranking":31.93,"SciDocsRR":77.96,"StackOverflowDupQuestions":53.5} -{"index":57,"Rank":74,"Model":"e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68} -{"index":169,"Rank":75,"Model":"e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68} +{"index":169,"Rank":74,"Model":"e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68} +{"index":57,"Rank":75,"Model":"e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.61,"AskUbuntuDupQuestions":59.62,"MindSmallReranking":31.83,"SciDocsRR":84.31,"StackOverflowDupQuestions":50.68} {"index":91,"Rank":76,"Model":"SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Average":56.56,"AskUbuntuDupQuestions":61.63,"MindSmallReranking":32.29,"SciDocsRR":80.79,"StackOverflowDupQuestions":51.53} 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(rus-Cyrl)":23.49,"HeadlineClassification (rus-Cyrl)":28.49,"InappropriatenessClassification (rus-Cyrl)":50.85,"KinopoiskClassification (rus-Cyrl)":34.17,"RuReviewsClassification (rus-Cyrl)":42.49,"RuSciBenchGRNTIClassification (rus-Cyrl)":10.49,"RuSciBenchOECDClassification (rus-Cyrl)":8.31} diff --git a/all_data_tasks/34/default.jsonl b/all_data_tasks/34/default.jsonl index 639ccd83dc5ddfac5549c8f21a8d3b2614186cda..fddeee5ade3908f7c546a24809fe250096193113 100644 --- a/all_data_tasks/34/default.jsonl +++ b/all_data_tasks/34/default.jsonl @@ -1,25 +1,24 @@ -{"index":13,"Rank":1,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":59.98,"GeoreviewClusteringP2P (rus-Cyrl)":65.68,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":61.55,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":52.72} -{"index":4,"Rank":2,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, 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(rus-Cyrl)":41.16} +{"index":3,"Rank":16,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":43.13,"GeoreviewClusteringP2P (rus-Cyrl)":41.82,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":46.29,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.28} +{"index":12,"Rank":17,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":42.92,"GeoreviewClusteringP2P (rus-Cyrl)":58.79,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":36.66,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":33.31} +{"index":9,"Rank":18,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":41.23,"GeoreviewClusteringP2P (rus-Cyrl)":44.18,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":41.41,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":38.09} +{"index":1,"Rank":19,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":38.41,"GeoreviewClusteringP2P (rus-Cyrl)":43.26,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":37.84,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":34.12} +{"index":8,"Rank":20,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":30.76,"GeoreviewClusteringP2P (rus-Cyrl)":34.4,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":29.89,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":27.98} +{"index":2,"Rank":21,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":27.91,"GeoreviewClusteringP2P (rus-Cyrl)":28.77,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":28.29,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":26.67} +{"index":19,"Rank":22,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":15.83,"GeoreviewClusteringP2P (rus-Cyrl)":20.33,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":14.66,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":12.49} +{"index":17,"Rank":23,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":13.87,"GeoreviewClusteringP2P (rus-Cyrl)":20.76,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":10.65,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":10.19} +{"index":18,"Rank":24,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":13.3,"GeoreviewClusteringP2P (rus-Cyrl)":20.25,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":10.21,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":9.43} diff --git a/all_data_tasks/35/default.jsonl b/all_data_tasks/35/default.jsonl index 8581d0aaf57b112f68fe8a4930f37d306bc349af..fd59ade14eec66ae8a3e10958a5cd4b563fa1ed8 100644 --- a/all_data_tasks/35/default.jsonl +++ b/all_data_tasks/35/default.jsonl @@ -1,25 +1,23 @@ {"index":11,"Rank":1,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"TERRa (rus-Cyrl)":64.99} -{"index":22,"Rank":2,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":64.57} +{"index":21,"Rank":2,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":64.57} {"index":4,"Rank":3,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"TERRa (rus-Cyrl)":60.79} {"index":0,"Rank":4,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"TERRa (rus-Cyrl)":60.6} {"index":10,"Rank":5,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"TERRa (rus-Cyrl)":60.02} -{"index":13,"Rank":6,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"TERRa (rus-Cyrl)":59.38} -{"index":3,"Rank":7,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":59.12} -{"index":21,"Rank":8,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":58.56} -{"index":15,"Rank":9,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"TERRa (rus-Cyrl)":58.4} -{"index":23,"Rank":10,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":57.81} -{"index":24,"Rank":11,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":56.09} -{"index":17,"Rank":12,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"TERRa (rus-Cyrl)":55.71} -{"index":7,"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":55.61} -{"index":16,"Rank":14,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":55.14} -{"index":14,"Rank":15,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":54.96} -{"index":12,"Rank":16,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"TERRa (rus-Cyrl)":53.78} -{"index":1,"Rank":17,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"TERRa (rus-Cyrl)":52.48} -{"index":2,"Rank":18,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":52.12} -{"index":5,"Rank":19,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"TERRa (rus-Cyrl)":51.97} -{"index":9,"Rank":20,"Model":"rubert-tiny2<\/a>","Model Size 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+{"index":20,"Rank":7,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":58.56} +{"index":14,"Rank":8,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"TERRa (rus-Cyrl)":58.4} +{"index":22,"Rank":9,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":57.81} +{"index":23,"Rank":10,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":56.09} +{"index":16,"Rank":11,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"TERRa (rus-Cyrl)":55.71} +{"index":7,"Rank":12,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":55.61} +{"index":15,"Rank":13,"Model":"multilingual-e5-small<\/a>","Model Size (Million 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+{"index":8,"Rank":20,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"TERRa (rus-Cyrl)":51.06} +{"index":6,"Rank":21,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"TERRa (rus-Cyrl)":50.17} +{"index":17,"Rank":22,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"TERRa (rus-Cyrl)":46.4} +{"index":18,"Rank":23,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"TERRa (rus-Cyrl)":45.03} diff --git a/all_data_tasks/36/default.jsonl b/all_data_tasks/36/default.jsonl index 94b26645ae88603d8786540ad94907d69e1570f6..769e40aad605a42896ca667acdbc3b8c95719e88 100644 --- a/all_data_tasks/36/default.jsonl +++ b/all_data_tasks/36/default.jsonl @@ -1,25 +1,24 @@ -{"index":15,"Rank":1,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"RuBQReranking (rus-Cyrl)":75.58} -{"index":13,"Rank":2,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"RuBQReranking (rus-Cyrl)":74.61} -{"index":0,"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"RuBQReranking (rus-Cyrl)":74.02} -{"index":11,"Rank":4,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"RuBQReranking (rus-Cyrl)":73.08} -{"index":14,"Rank":5,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"RuBQReranking (rus-Cyrl)":72.01} -{"index":16,"Rank":6,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"RuBQReranking (rus-Cyrl)":71.46} -{"index":4,"Rank":7,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"RuBQReranking (rus-Cyrl)":70.87} 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100644 --- a/all_data_tasks/37/default.jsonl +++ b/all_data_tasks/37/default.jsonl @@ -1,25 +1,24 @@ -{"index":13,"Rank":1,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":77.96,"RiaNewsRetrieval (rus-Cyrl)":81.94,"RuBQRetrieval (rus-Cyrl)":73.98} -{"index":15,"Rank":2,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.39,"RiaNewsRetrieval (rus-Cyrl)":80.67,"RuBQRetrieval (rus-Cyrl)":74.11} -{"index":0,"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":77.1,"RiaNewsRetrieval (rus-Cyrl)":82.98,"RuBQRetrieval (rus-Cyrl)":71.21} -{"index":11,"Rank":4,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":76.78,"RiaNewsRetrieval (rus-Cyrl)":83.53,"RuBQRetrieval (rus-Cyrl)":70.03} -{"index":4,"Rank":5,"Model":"ru-en-RoSBERTa<\/a>","Model Size 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(fr)":"","STS22 (fr-pl)":"","STS22 (it)":"","STS22 (pl)":"","STS22 (pl-en)":"","STS22 (ru)":"","STS22 (tr)":"","STS22 (zh-en)":"","STSBenchmark":78.61} -{"index":79,"Rank":105,"Model":"SGPT-1.3B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":1341,"Memory Usage (GB, fp32)":4.99,"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":77.59} -{"index":82,"Rank":106,"Model":"SGPT-2.7B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":2685,"Memory Usage (GB, fp32)":10.0,"Average":"","STS17 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fp32)":0.61,"Average":48.65,"CLSClusteringP2P":40.27,"CLSClusteringS2S":37.5,"ThuNewsClusteringP2P":62.15,"ThuNewsClusteringS2S":54.67} +{"index":237,"Rank":39,"Model":"m3e-ernie-xbase-zh<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":48.64,"CLSClusteringP2P":39.32,"CLSClusteringS2S":37.84,"ThuNewsClusteringP2P":60.69,"ThuNewsClusteringS2S":56.73} +{"index":219,"Rank":40,"Model":"lim_base_zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":48.35,"CLSClusteringP2P":33.55,"CLSClusteringS2S":36.18,"ThuNewsClusteringP2P":63.34,"ThuNewsClusteringS2S":60.33} +{"index":196,"Rank":41,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":48.23,"CLSClusteringP2P":40.68,"CLSClusteringS2S":38.59,"ThuNewsClusteringP2P":58.05,"ThuNewsClusteringS2S":55.59} +{"index":285,"Rank":42,"Model":"ZNV-Embedding<\/a>","Model Size (Million Parameters)":6061,"Memory Usage (GB, fp32)":22.58,"Average":48.05,"CLSClusteringP2P":38.88,"CLSClusteringS2S":39.09,"ThuNewsClusteringP2P":59.51,"ThuNewsClusteringS2S":54.72} +{"index":231,"Rank":43,"Model":"m3e-base<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":47.68,"CLSClusteringP2P":39.81,"CLSClusteringS2S":37.34,"ThuNewsClusteringP2P":59.77,"ThuNewsClusteringS2S":53.78} +{"index":22,"Rank":44,"Model":"bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":47.53,"CLSClusteringP2P":39.91,"CLSClusteringS2S":37.63,"ThuNewsClusteringP2P":58.45,"ThuNewsClusteringS2S":54.12} +{"index":18,"Rank":45,"Model":"gte-multilingual-base<\/a>","Model Size (Million Parameters)":305,"Memory Usage (GB, fp32)":1.14,"Average":47.48,"CLSClusteringP2P":37.95,"CLSClusteringS2S":38.12,"ThuNewsClusteringP2P":57.25,"ThuNewsClusteringS2S":56.62} +{"index":38,"Rank":46,"Model":"winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":47.21,"CLSClusteringP2P":42.21,"CLSClusteringS2S":40.33,"ThuNewsClusteringP2P":55.81,"ThuNewsClusteringS2S":50.5} +{"index":262,"Rank":47,"Model":"piccolo-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":47.12,"CLSClusteringP2P":38.36,"CLSClusteringS2S":35.65,"ThuNewsClusteringP2P":61.44,"ThuNewsClusteringS2S":53.02} +{"index":263,"Rank":48,"Model":"piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":47.04,"CLSClusteringP2P":38.98,"CLSClusteringS2S":36.04,"ThuNewsClusteringP2P":60.58,"ThuNewsClusteringS2S":52.56} +{"index":292,"Rank":49,"Model":"jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42} +{"index":210,"Rank":50,"Model":"jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":46.47,"CLSClusteringP2P":39.97,"CLSClusteringS2S":38.4,"ThuNewsClusteringP2P":54.08,"ThuNewsClusteringS2S":53.42} +{"index":335,"Rank":51,"Model":"text-embedding-ada-002<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":45.68,"CLSClusteringP2P":38.26,"CLSClusteringS2S":35.91,"ThuNewsClusteringP2P":58.71,"ThuNewsClusteringS2S":49.86} +{"index":198,"Rank":52,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93} +{"index":291,"Rank":53,"Model":"luotuo-bert-medium<\/a>","Model Size (Million Parameters)":328,"Memory Usage (GB, fp32)":1.22,"Average":44.39,"CLSClusteringP2P":37.01,"CLSClusteringS2S":33.46,"ThuNewsClusteringP2P":58.83,"ThuNewsClusteringS2S":48.26} +{"index":32,"Rank":54,"Model":"bge-small-zh-v1.5<\/a>","Model Size (Million Parameters)":24,"Memory Usage (GB, fp32)":0.09,"Average":44.18,"CLSClusteringP2P":38.14,"CLSClusteringS2S":35.14,"ThuNewsClusteringP2P":54.22,"ThuNewsClusteringS2S":49.22} +{"index":200,"Rank":55,"Model":"udever-bloom-3b<\/a>","Model Size (Million Parameters)":3003,"Memory Usage (GB, fp32)":11.19,"Average":43.24,"CLSClusteringP2P":36.73,"CLSClusteringS2S":36.45,"ThuNewsClusteringP2P":50.24,"ThuNewsClusteringS2S":49.54} +{"index":201,"Rank":56,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.21,"CLSClusteringS2S":35.12,"ThuNewsClusteringP2P":51.03,"ThuNewsClusteringS2S":48.32} +{"index":199,"Rank":57,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34} +{"index":202,"Rank":58,"Model":"udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Average":42.32,"CLSClusteringP2P":36.0,"CLSClusteringS2S":36.35,"ThuNewsClusteringP2P":49.19,"ThuNewsClusteringS2S":47.76} +{"index":195,"Rank":59,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36} +{"index":51,"Rank":60,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77} +{"index":289,"Rank":61,"Model":"text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":37.66,"CLSClusteringP2P":35.27,"CLSClusteringS2S":32.42,"ThuNewsClusteringP2P":42.92,"ThuNewsClusteringS2S":40.01} +{"index":171,"Rank":62,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":34.44,"CLSClusteringP2P":27.43,"CLSClusteringS2S":28.32,"ThuNewsClusteringP2P":38.54,"ThuNewsClusteringS2S":43.45} +{"index":47,"Rank":63,"Model":"sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23} +{"index":55,"Rank":64,"Model":"text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14} +{"index":302,"Rank":65,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":18.34,"CLSClusteringP2P":18.66,"CLSClusteringS2S":16.82,"ThuNewsClusteringP2P":20.69,"ThuNewsClusteringS2S":17.19} diff --git a/app.py b/app.py index cab09fda88fef88e01863d90ebf8a5862fdab026..11f170511cb36f96af5dde3193265c89372b93be 100644 --- a/app.py +++ b/app.py @@ -72,6 +72,7 @@ Each inner tab can have the following keys: - language_long: [optional] The long form of the language - description: The description of the leaderboard - credits: [optional] The credits for the leaderboard +- desc: [optional] The description of the leaderboard - data: The data for the leaderboard """ @@ -133,6 +134,7 @@ for board, board_config in BOARDS_CONFIG.items(): board_icon = "" credits = board_config.get("credits", None) metric = board_config.get("metric", None) + desc = board_config.get("desc", None) if board_config["has_overall"]: overall_pretty_name = board_pretty_name @@ -146,6 +148,7 @@ for board, board_config in BOARDS_CONFIG.items(): # "refresh": get_refresh_overall_function(board_config["tasks"]), "credits": credits, "metric": metric, + "desc": desc, }) for task_category, task_category_list in board_config["tasks"].items(): task_icon = TASKS_CONFIG[task_category]['icon'] @@ -159,6 +162,7 @@ for board, board_config in BOARDS_CONFIG.items(): # "refresh": get_refresh_function(task_category, task_category_list), "credits": credits, "metric": metric, + "desc": desc, }) dataframes = [] @@ -331,6 +335,7 @@ with gr.Blocks(css=css) as block: - **Metric:** {specific_metric} - **Languages:** {item['language_long'] if 'language_long' in item else item['language']} {"- **Credits:** " + item['credits'] if ("credits" in item and item["credits"] is not None) else ''} + {"- **Description:** " + item['desc'] if ("desc" in item and item["desc"] is not None) else ''} """) with gr.Row(): diff --git a/boards_data/bright/data_tasks/Retrieval/default.jsonl b/boards_data/bright/data_tasks/Retrieval/default.jsonl index dd8ff771c0e30041e69501eef76afd269ec19f9d..f4b98c9c3c2330d16bbece8e3c98454a220185ec 100644 --- a/boards_data/bright/data_tasks/Retrieval/default.jsonl +++ b/boards_data/bright/data_tasks/Retrieval/default.jsonl @@ -1,14 +1,13 @@ -{"index":4,"Rank":1,"Model":"gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":22.38,"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 (theoremqa_questions)":29.9,"BrightRetrieval (theoremqa_theorems)":28.15} -{"index":3,"Rank":2,"Model":"gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":21.75,"BrightRetrieval (aops)":14.36,"BrightRetrieval (biology)":30.92,"BrightRetrieval (earth_science)":36.22,"BrightRetrieval (economics)":17.72,"BrightRetrieval (leetcode)":25.46,"BrightRetrieval (pony)":9.79,"BrightRetrieval (psychology)":24.61,"BrightRetrieval (robotics)":13.47,"BrightRetrieval (stackoverflow)":19.85,"BrightRetrieval (sustainable_living)":14.93,"BrightRetrieval (theoremqa_questions)":26.97,"BrightRetrieval (theoremqa_theorems)":26.66} -{"index":7,"Rank":3,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":20.43,"BrightRetrieval (aops)":8.91,"BrightRetrieval (biology)":25.04,"BrightRetrieval (earth_science)":32.77,"BrightRetrieval (economics)":19.0,"BrightRetrieval (leetcode)":29.85,"BrightRetrieval (pony)":21.98,"BrightRetrieval (psychology)":19.92,"BrightRetrieval (robotics)":17.31,"BrightRetrieval (stackoverflow)":11.62,"BrightRetrieval (sustainable_living)":18.04,"BrightRetrieval (theoremqa_questions)":23.34,"BrightRetrieval (theoremqa_theorems)":17.41} -{"index":0,"Rank":4,"Model":"google-gecko.text-embedding-preview-0409<\/a>","Model Size (Million Parameters)":1200,"Memory Usage (GB, fp32)":4.47,"Average":19.73,"BrightRetrieval (aops)":9.33,"BrightRetrieval (biology)":22.98,"BrightRetrieval (earth_science)":34.38,"BrightRetrieval (economics)":19.5,"BrightRetrieval (leetcode)":29.64,"BrightRetrieval (pony)":3.59,"BrightRetrieval (psychology)":27.86,"BrightRetrieval (robotics)":15.98,"BrightRetrieval (stackoverflow)":17.93,"BrightRetrieval (sustainable_living)":17.25,"BrightRetrieval (theoremqa_questions)":21.51,"BrightRetrieval (theoremqa_theorems)":16.77} -{"index":10,"Rank":5,"Model":"instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, fp32)":4.62,"Average":18.64,"BrightRetrieval (aops)":8.26,"BrightRetrieval (biology)":21.91,"BrightRetrieval (earth_science)":34.35,"BrightRetrieval (economics)":22.81,"BrightRetrieval (leetcode)":27.5,"BrightRetrieval (pony)":5.02,"BrightRetrieval (psychology)":27.43,"BrightRetrieval (robotics)":17.39,"BrightRetrieval (stackoverflow)":19.06,"BrightRetrieval (sustainable_living)":18.82,"BrightRetrieval (theoremqa_questions)":14.59,"BrightRetrieval (theoremqa_theorems)":6.5} -{"index":8,"Rank":6,"Model":"SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":18.0,"BrightRetrieval (aops)":7.43,"BrightRetrieval (biology)":19.49,"BrightRetrieval (earth_science)":26.63,"BrightRetrieval (economics)":17.84,"BrightRetrieval (leetcode)":27.35,"BrightRetrieval (pony)":1.97,"BrightRetrieval (psychology)":18.97,"BrightRetrieval (robotics)":16.7,"BrightRetrieval (stackoverflow)":12.72,"BrightRetrieval (sustainable_living)":19.79,"BrightRetrieval (theoremqa_questions)":23.05,"BrightRetrieval (theoremqa_theorems)":24.05} -{"index":1,"Rank":7,"Model":"voyage-large-2-instruct<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":17.57,"BrightRetrieval (aops)":7.45,"BrightRetrieval (biology)":23.55,"BrightRetrieval (earth_science)":25.09,"BrightRetrieval (economics)":19.85,"BrightRetrieval (leetcode)":30.6,"BrightRetrieval (pony)":1.48,"BrightRetrieval (psychology)":24.79,"BrightRetrieval (robotics)":11.21,"BrightRetrieval (stackoverflow)":15.03,"BrightRetrieval (sustainable_living)":15.58,"BrightRetrieval (theoremqa_questions)":26.06,"BrightRetrieval (theoremqa_theorems)":10.13} -{"index":13,"Rank":8,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":17.43,"BrightRetrieval (aops)":8.45,"BrightRetrieval (biology)":23.67,"BrightRetrieval (earth_science)":26.27,"BrightRetrieval (economics)":19.98,"BrightRetrieval (leetcode)":23.65,"BrightRetrieval (pony)":2.45,"BrightRetrieval (psychology)":27.52,"BrightRetrieval (robotics)":12.93,"BrightRetrieval (stackoverflow)":12.49,"BrightRetrieval (sustainable_living)":20.32,"BrightRetrieval (theoremqa_questions)":22.22,"BrightRetrieval (theoremqa_theorems)":9.25} -{"index":11,"Rank":9,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":17.43,"BrightRetrieval (aops)":7.1,"BrightRetrieval (biology)":18.84,"BrightRetrieval (earth_science)":25.96,"BrightRetrieval (economics)":15.49,"BrightRetrieval (leetcode)":28.72,"BrightRetrieval (pony)":4.81,"BrightRetrieval (psychology)":15.79,"BrightRetrieval (robotics)":16.37,"BrightRetrieval (stackoverflow)":9.83,"BrightRetrieval (sustainable_living)":18.51,"BrightRetrieval (theoremqa_questions)":23.94,"BrightRetrieval (theoremqa_theorems)":23.78} -{"index":6,"Rank":10,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":16.24,"BrightRetrieval (aops)":6.46,"BrightRetrieval (biology)":18.98,"BrightRetrieval (earth_science)":27.45,"BrightRetrieval (economics)":20.18,"BrightRetrieval (leetcode)":26.78,"BrightRetrieval (pony)":1.77,"BrightRetrieval (psychology)":21.82,"BrightRetrieval (robotics)":16.21,"BrightRetrieval (stackoverflow)":16.47,"BrightRetrieval (sustainable_living)":17.69,"BrightRetrieval (theoremqa_questions)":15.07,"BrightRetrieval (theoremqa_theorems)":6.04} -{"index":12,"Rank":11,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":14.8,"BrightRetrieval (aops)":5.32,"BrightRetrieval (biology)":15.52,"BrightRetrieval (earth_science)":20.11,"BrightRetrieval (economics)":16.64,"BrightRetrieval (leetcode)":26.4,"BrightRetrieval (pony)":6.95,"BrightRetrieval (psychology)":22.63,"BrightRetrieval (robotics)":8.36,"BrightRetrieval (stackoverflow)":9.48,"BrightRetrieval (sustainable_living)":15.34,"BrightRetrieval (theoremqa_questions)":18.49,"BrightRetrieval (theoremqa_theorems)":12.38} -{"index":2,"Rank":12,"Model":"bm25<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":14.29,"BrightRetrieval (aops)":6.2,"BrightRetrieval (biology)":19.19,"BrightRetrieval (earth_science)":27.06,"BrightRetrieval (economics)":14.87,"BrightRetrieval (leetcode)":24.37,"BrightRetrieval (pony)":7.93,"BrightRetrieval (psychology)":12.51,"BrightRetrieval (robotics)":13.53,"BrightRetrieval (stackoverflow)":16.55,"BrightRetrieval (sustainable_living)":15.22,"BrightRetrieval (theoremqa_questions)":9.78,"BrightRetrieval (theoremqa_theorems)":4.25} -{"index":9,"Rank":13,"Model":"instructor-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":14.12,"BrightRetrieval (aops)":7.94,"BrightRetrieval (biology)":15.61,"BrightRetrieval (earth_science)":21.52,"BrightRetrieval (economics)":15.99,"BrightRetrieval (leetcode)":20.0,"BrightRetrieval (pony)":1.32,"BrightRetrieval (psychology)":21.94,"BrightRetrieval (robotics)":11.45,"BrightRetrieval (stackoverflow)":11.21,"BrightRetrieval (sustainable_living)":13.16,"BrightRetrieval (theoremqa_questions)":20.07,"BrightRetrieval (theoremqa_theorems)":9.29} -{"index":5,"Rank":14,"Model":"bge-large-en-v1.5<\/a>","Model Size (Million 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0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/boards_data/coir/data_tasks/Retrieval/default.jsonl b/boards_data/coir/data_tasks/Retrieval/default.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b8e1165f7ca5957335b991110540b7a0044f124 --- /dev/null +++ b/boards_data/coir/data_tasks/Retrieval/default.jsonl @@ -0,0 +1 @@ +{"index":0,"Rank":1,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":59.88,"CodeTransOceanDL":29.45,"StackOverflowQA":90.32} diff --git a/boards_data/de/data_tasks/Clustering/default.jsonl b/boards_data/de/data_tasks/Clustering/default.jsonl index 102730a91c9371386bb8fd8ccd5044c633abaa82..b438100ab77ef31de59fefbdd5dd47040c64b213 100644 --- a/boards_data/de/data_tasks/Clustering/default.jsonl +++ b/boards_data/de/data_tasks/Clustering/default.jsonl @@ -1,8 +1,8 @@ {"index":7,"Rank":1,"Model":"gbert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Average":32.34,"BlurbsClusteringP2P":39.3,"BlurbsClusteringS2S":13.38,"TenKGnadClusteringP2P":41.69,"TenKGnadClusteringS2S":34.97} {"index":17,"Rank":2,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"Average":29.74,"BlurbsClusteringP2P":39.91,"BlurbsClusteringS2S":15.94,"TenKGnadClusteringP2P":43.43,"TenKGnadClusteringS2S":19.69} -{"index":1,"Rank":3,"Model":"jina-embeddings-v2-base-de-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} -{"index":11,"Rank":4,"Model":"jina-embeddings-v2-base-de<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":29.55,"BlurbsClusteringP2P":35.49,"BlurbsClusteringS2S":16.17,"TenKGnadClusteringP2P":42.84,"TenKGnadClusteringS2S":23.69} 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Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":64.67,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.61,"Reranking Average (4 datasets)":48.82,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.6,"Summarization Average (1 datasets)":""} +{"index":252,"Rank":274,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":259,"Rank":275,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Embedding Dimensions":768,"Max Tokens":512,"Average (56 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datasets)":33.47,"PairClassification Average (3 datasets)":77.75,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":269,"Rank":281,"Model":"ALL_862873<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":41.73,"Clustering Average (11 datasets)":18.0,"PairClassification Average (3 datasets)":30.61,"Reranking Average (4 datasets)":34.44,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":39.1,"Summarization Average (1 datasets)":""} +{"index":271,"Rank":282,"Model":"tst<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":61.37,"Clustering Average (11 datasets)":29.04,"PairClassification Average (3 datasets)":71.88,"Reranking Average (4 datasets)":47.31,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":65.8,"Summarization Average (1 datasets)":29.51} +{"index":273,"Rank":283,"Model":"universal-sentence-encoder-4<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":64.45,"Clustering Average (11 datasets)":35.71,"PairClassification Average (3 datasets)":76.23,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":72.04,"Summarization Average (1 datasets)":29.42} +{"index":274,"Rank":284,"Model":"universal-sentence-encoder-large-5<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":67.9,"Clustering Average (11 datasets)":37.82,"PairClassification Average (3 datasets)":79.53,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":74.05,"Summarization Average (1 datasets)":29.01} +{"index":275,"Rank":285,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":63.42,"Clustering Average (11 datasets)":34.82,"PairClassification Average (3 datasets)":75.43,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.39,"Summarization Average (1 datasets)":30.79} +{"index":276,"Rank":286,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":512,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":65.78,"Clustering Average (11 datasets)":35.06,"PairClassification Average (3 datasets)":79.62,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":75.35,"Summarization Average (1 datasets)":29.71} +{"index":278,"Rank":287,"Model":"b1ade-embed-kd<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":43.43,"PairClassification Average (3 datasets)":82.83,"Reranking Average (4 datasets)":54.29,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":30.57} +{"index":279,"Rank":288,"Model":"b1ade-embed-kd_3<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Embedding Dimensions":1024,"Max Tokens":512,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":0.41,"PairClassification Average (3 datasets)":0.79,"Reranking Average (4 datasets)":0.53,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":0.29} +{"index":280,"Rank":289,"Model":"jina-embeddings-v2-base-en-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":73.45,"Clustering Average (11 datasets)":41.73,"PairClassification Average (3 datasets)":85.38,"Reranking Average (4 datasets)":56.98,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":80.7,"Summarization Average (1 datasets)":31.6} +{"index":281,"Rank":290,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":282,"Rank":291,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":283,"Rank":292,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Embedding Dimensions":768,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":284,"Rank":293,"Model":"new_model<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":40.54,"PairClassification Average (3 datasets)":85.41,"Reranking Average (4 datasets)":54.46,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":80.59,"Summarization Average (1 datasets)":29.78} +{"index":285,"Rank":294,"Model":"snowflake-arctic-embed-m-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":55.14,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":288,"Rank":295,"Model":"snowflake-arctic-embed-m-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":55.14,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":289,"Rank":296,"Model":"snowflake-arctic-embed-m-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":55.14,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":291,"Rank":297,"Model":"gte-large-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":84.69,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":82.88,"Summarization Average (1 datasets)":""} +{"index":292,"Rank":298,"Model":"gte-large-sparse<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":83.58,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.9,"Summarization Average (1 datasets)":""} +{"index":293,"Rank":299,"Model":"gte-small-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":71.7,"Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":83.09,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.5,"Summarization Average (1 datasets)":""} +{"index":294,"Rank":300,"Model":"bi-cse<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Embedding Dimensions":1024,"Max Tokens":514,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":79.66,"Summarization Average (1 datasets)":""} +{"index":295,"Rank":301,"Model":"nomic-embed-text-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average (56 datasets)":"","Classification Average (12 datasets)":73.55,"Clustering Average (11 datasets)":43.93,"PairClassification Average (3 datasets)":84.61,"Reranking Average (4 datasets)":55.78,"Retrieval Average (15 datasets)":"","STS Average (10 datasets)":81.94,"Summarization Average (1 datasets)":30.4} +{"index":296,"Rank":302,"Model":"text-search-ada-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":297,"Rank":303,"Model":"text-search-ada-doc-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":298,"Rank":304,"Model":"text-search-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":299,"Rank":305,"Model":"text-search-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":300,"Rank":306,"Model":"text-search-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":302,"Rank":307,"Model":"text-similarity-babbage-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":2048,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.46,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":303,"Rank":308,"Model":"text-similarity-curie-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":4096,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":77.79,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":304,"Rank":309,"Model":"text-similarity-davinci-001<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":12288,"Max Tokens":2046,"Average (56 datasets)":"","Classification Average (12 datasets)":"","Clustering Average (11 datasets)":"","PairClassification Average (3 datasets)":75.9,"Reranking Average (4 datasets)":"","Retrieval Average (15 datasets)":"","STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} +{"index":307,"Rank":310,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":3072,"Max Tokens":8191,"Average (56 datasets)":"","Classification Average (12 datasets)":75.45,"Clustering Average (11 datasets)":49.01,"PairClassification Average (3 datasets)":"","Reranking Average (4 datasets)":59.16,"Retrieval Average (15 datasets)":55.44,"STS Average (10 datasets)":"","Summarization Average (1 datasets)":""} diff --git a/boards_data/en/data_tasks/Classification/default.jsonl b/boards_data/en/data_tasks/Classification/default.jsonl index d80561ff67c2f77665f1141b82ad02f26d052708..f5029c74ddc0188575ddc6098da157b3f6a08680 100644 --- a/boards_data/en/data_tasks/Classification/default.jsonl +++ b/boards_data/en/data_tasks/Classification/default.jsonl @@ -18,8 +18,8 @@ {"index":170,"Rank":18,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":78.47,"AmazonCounterfactualClassification (en)":78.69,"AmazonPolarityClassification":95.91,"AmazonReviewsClassification (en)":55.79,"Banking77Classification":88.23,"EmotionClassification":49.77,"ImdbClassification":94.78,"MassiveIntentClassification (en)":80.57,"MassiveScenarioClassification (en)":82.39,"MTOPDomainClassification (en)":96.12,"MTOPIntentClassification (en)":86.11,"ToxicConversationsClassification":69.59,"TweetSentimentExtractionClassification":63.72} {"index":104,"Rank":19,"Model":"SFR-Embedding-Mistral<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":78.33,"AmazonCounterfactualClassification (en)":77.93,"AmazonPolarityClassification":95.97,"AmazonReviewsClassification (en)":54.35,"Banking77Classification":88.81,"EmotionClassification":50.24,"ImdbClassification":94.79,"MassiveIntentClassification (en)":79.99,"MassiveScenarioClassification (en)":82.2,"MTOPDomainClassification (en)":96.36,"MTOPIntentClassification (en)":86.3,"ToxicConversationsClassification":69.33,"TweetSentimentExtractionClassification":63.64} {"index":19,"Rank":20,"Model":"gte-large-en-v1.5<\/a>","Model Size (Million Parameters)":434,"Memory Usage (GB, fp32)":1.62,"Average":77.75,"AmazonCounterfactualClassification (en)":73.01,"AmazonPolarityClassification":93.97,"AmazonReviewsClassification (en)":54.2,"Banking77Classification":87.33,"EmotionClassification":46.77,"ImdbClassification":92.1,"MassiveIntentClassification (en)":78.94,"MassiveScenarioClassification (en)":81.41,"MTOPDomainClassification (en)":96.6,"MTOPIntentClassification (en)":82.9,"ToxicConversationsClassification":82.61,"TweetSentimentExtractionClassification":63.16} -{"index":175,"Rank":21,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.56,"AmazonCounterfactualClassification (en)":76.24,"AmazonPolarityClassification":96.29,"AmazonReviewsClassification (en)":56.72,"Banking77Classification":85.73,"EmotionClassification":51.51,"ImdbClassification":94.6,"MassiveIntentClassification (en)":77.06,"MassiveScenarioClassification (en)":80.47,"MTOPDomainClassification (en)":93.93,"MTOPIntentClassification (en)":82.46,"ToxicConversationsClassification":71.06,"TweetSentimentExtractionClassification":64.62} -{"index":59,"Rank":22,"Model":"multilingual-e5-large-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.56,"AmazonCounterfactualClassification (en)":76.24,"AmazonPolarityClassification":96.29,"AmazonReviewsClassification (en)":56.72,"Banking77Classification":85.73,"EmotionClassification":51.51,"ImdbClassification":94.6,"MassiveIntentClassification (en)":77.06,"MassiveScenarioClassification (en)":80.47,"MTOPDomainClassification (en)":93.93,"MTOPIntentClassification (en)":82.46,"ToxicConversationsClassification":71.06,"TweetSentimentExtractionClassification":64.62} +{"index":59,"Rank":21,"Model":"multilingual-e5-large-instruct-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":77.56,"AmazonCounterfactualClassification (en)":76.24,"AmazonPolarityClassification":96.29,"AmazonReviewsClassification (en)":56.72,"Banking77Classification":85.73,"EmotionClassification":51.51,"ImdbClassification":94.6,"MassiveIntentClassification (en)":77.06,"MassiveScenarioClassification (en)":80.47,"MTOPDomainClassification (en)":93.93,"MTOPIntentClassification (en)":82.46,"ToxicConversationsClassification":71.06,"TweetSentimentExtractionClassification":64.62} +{"index":175,"Rank":22,"Model":"multilingual-e5-large-instruct<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.56,"AmazonCounterfactualClassification (en)":76.24,"AmazonPolarityClassification":96.29,"AmazonReviewsClassification (en)":56.72,"Banking77Classification":85.73,"EmotionClassification":51.51,"ImdbClassification":94.6,"MassiveIntentClassification (en)":77.06,"MassiveScenarioClassification (en)":80.47,"MTOPDomainClassification (en)":93.93,"MTOPIntentClassification (en)":82.46,"ToxicConversationsClassification":71.06,"TweetSentimentExtractionClassification":64.62} {"index":191,"Rank":23,"Model":"echo-mistral-7b-instruct-lasttoken<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":77.43,"AmazonCounterfactualClassification 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{"index":128,"Rank":57,"Model":"GIST-all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.08,"Average":57.95,"AskUbuntuDupQuestions":62.97,"MindSmallReranking":31.31,"SciDocsRR":87.14,"StackOverflowDupQuestions":50.36} {"index":214,"Rank":58,"Model":"bge-small-en-v1.5-quant<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.86,"AskUbuntuDupQuestions":62.4,"MindSmallReranking":31.28,"SciDocsRR":85.01,"StackOverflowDupQuestions":52.75} {"index":38,"Rank":59,"Model":"Cohere-embed-multilingual-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":57.86,"AskUbuntuDupQuestions":62.13,"MindSmallReranking":32.59,"SciDocsRR":84.31,"StackOverflowDupQuestions":52.4} @@ -69,15 +69,15 @@ {"index":198,"Rank":69,"Model":"XLM-3B5-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, 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a/boards_data/fr/data_overall/default.jsonl +++ b/boards_data/fr/data_overall/default.jsonl @@ -35,37 +35,37 @@ {"index":74,"Rank":35,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Embedding Dimensions":384,"Max Tokens":512,"Average (26 datasets)":50.71,"Classification Average (6 datasets)":61.02,"Clustering Average (7 datasets)":38.35,"PairClassification Average (2 datasets)":74.47,"Reranking Average (2 datasets)":62.02,"Retrieval Average (5 datasets)":31.24,"STS Average (3 datasets)":75.18,"Summarization Average (1 datasets)":29.2} {"index":76,"Rank":36,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Embedding Dimensions":768,"Max Tokens":512,"Average (26 datasets)":50.63,"Classification Average (6 datasets)":58.08,"Clustering Average (7 datasets)":40.07,"PairClassification Average (2 datasets)":72.38,"Reranking Average (2 datasets)":64.08,"Retrieval 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datasets)":52.14,"Clustering Average (7 datasets)":33.75,"PairClassification Average (2 datasets)":"","Reranking Average (2 datasets)":"","Retrieval Average (5 datasets)":"","STS Average (3 datasets)":"","Summarization Average (1 datasets)":""} diff --git a/boards_data/fr/data_tasks/PairClassification/default.jsonl b/boards_data/fr/data_tasks/PairClassification/default.jsonl index d6298665c184f6126b4fe2de35821a357e0f580f..73ff4b222a304246a451924ca8193036fbb55c25 100644 --- a/boards_data/fr/data_tasks/PairClassification/default.jsonl +++ b/boards_data/fr/data_tasks/PairClassification/default.jsonl @@ -25,35 +25,34 @@ {"index":89,"Rank":25,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":76.97,"OpusparcusPC (fr)":93.18,"PawsXPairClassification (fr)":60.76} {"index":2,"Rank":26,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":76.85,"OpusparcusPC (fr)":92.87,"PawsXPairClassification (fr)":60.83} {"index":54,"Rank":27,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":76.19,"OpusparcusPC (fr)":93.89,"PawsXPairClassification (fr)":58.5} -{"index":52,"Rank":28,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":76.08,"OpusparcusPC (fr)":88.5,"PawsXPairClassification (fr)":63.65} -{"index":75,"Rank":29,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":75.8,"OpusparcusPC (fr)":93.45,"PawsXPairClassification (fr)":58.14} -{"index":29,"Rank":30,"Model":"bilingual-embedding-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":75.61,"OpusparcusPC (fr)":92.6,"PawsXPairClassification (fr)":58.63} -{"index":77,"Rank":31,"Model":"sentence-t5-large<\/a>","Model Size (Million 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-{"index":64,"Rank":36,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":74.3,"OpusparcusPC (fr)":93.96,"PawsXPairClassification (fr)":54.63} -{"index":15,"Rank":37,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.12,"OpusparcusPC (fr)":90.92,"PawsXPairClassification (fr)":57.32} -{"index":56,"Rank":38,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":74.1,"OpusparcusPC (fr)":92.52,"PawsXPairClassification (fr)":55.68} -{"index":57,"Rank":39,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.76,"OpusparcusPC (fr)":85.54,"PawsXPairClassification (fr)":61.99} -{"index":86,"Rank":40,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.5,"OpusparcusPC (fr)":93.38,"PawsXPairClassification (fr)":53.62} -{"index":73,"Rank":41,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":72.72,"OpusparcusPC (fr)":88.07,"PawsXPairClassification (fr)":57.36} -{"index":76,"Rank":42,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":72.38,"OpusparcusPC (fr)":89.4,"PawsXPairClassification (fr)":55.35} -{"index":85,"Rank":43,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.92,"OpusparcusPC (fr)":91.46,"PawsXPairClassification (fr)":52.39} -{"index":70,"Rank":44,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":71.57,"OpusparcusPC (fr)":92.07,"PawsXPairClassification (fr)":51.08} -{"index":66,"Rank":45,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4} -{"index":58,"Rank":46,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":70.9,"OpusparcusPC (fr)":82.1,"PawsXPairClassification (fr)":59.69} -{"index":51,"Rank":47,"Model":"bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":70.32,"OpusparcusPC (fr)":87.43,"PawsXPairClassification (fr)":53.22} -{"index":20,"Rank":48,"Model":"bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4} -{"index":22,"Rank":49,"Model":"bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39} -{"index":21,"Rank":50,"Model":"bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.08,"OpusparcusPC (fr)":86.78,"PawsXPairClassification (fr)":53.38} -{"index":50,"Rank":51,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":70.08,"OpusparcusPC (fr)":86.77,"PawsXPairClassification (fr)":53.39} -{"index":88,"Rank":52,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":68.56,"OpusparcusPC (fr)":83.73,"PawsXPairClassification (fr)":53.38} -{"index":87,"Rank":53,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":68.4,"OpusparcusPC (fr)":85.45,"PawsXPairClassification (fr)":51.35} -{"index":48,"Rank":54,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.39,"OpusparcusPC (fr)":82.0,"PawsXPairClassification (fr)":52.78} -{"index":47,"Rank":55,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.02,"OpusparcusPC (fr)":82.15,"PawsXPairClassification (fr)":51.89} -{"index":49,"Rank":56,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Average":64.46,"OpusparcusPC (fr)":74.78,"PawsXPairClassification (fr)":54.14} -{"index":46,"Rank":79,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":71.36} +{"index":75,"Rank":28,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":75.8,"OpusparcusPC (fr)":93.45,"PawsXPairClassification (fr)":58.14} +{"index":29,"Rank":29,"Model":"bilingual-embedding-small<\/a>","Model Size (Million 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+{"index":1,"Rank":34,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.36,"OpusparcusPC (fr)":89.76,"PawsXPairClassification (fr)":58.96} +{"index":64,"Rank":35,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":74.3,"OpusparcusPC (fr)":93.96,"PawsXPairClassification (fr)":54.63} +{"index":15,"Rank":36,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.12,"OpusparcusPC (fr)":90.92,"PawsXPairClassification (fr)":57.32} +{"index":56,"Rank":37,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":74.1,"OpusparcusPC (fr)":92.52,"PawsXPairClassification (fr)":55.68} +{"index":57,"Rank":38,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.76,"OpusparcusPC (fr)":85.54,"PawsXPairClassification (fr)":61.99} +{"index":86,"Rank":39,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":73.5,"OpusparcusPC (fr)":93.38,"PawsXPairClassification (fr)":53.62} +{"index":73,"Rank":40,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":72.72,"OpusparcusPC (fr)":88.07,"PawsXPairClassification (fr)":57.36} +{"index":76,"Rank":41,"Model":"sentence-t5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":72.38,"OpusparcusPC (fr)":89.4,"PawsXPairClassification (fr)":55.35} +{"index":85,"Rank":42,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.92,"OpusparcusPC (fr)":91.46,"PawsXPairClassification (fr)":52.39} +{"index":70,"Rank":43,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"Average":71.57,"OpusparcusPC (fr)":92.07,"PawsXPairClassification (fr)":51.08} +{"index":66,"Rank":44,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":70.96,"OpusparcusPC (fr)":86.53,"PawsXPairClassification (fr)":55.4} +{"index":58,"Rank":45,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":70.9,"OpusparcusPC (fr)":82.1,"PawsXPairClassification (fr)":59.69} +{"index":51,"Rank":46,"Model":"bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":70.32,"OpusparcusPC (fr)":87.43,"PawsXPairClassification (fr)":53.22} +{"index":20,"Rank":47,"Model":"bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.1,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.4} +{"index":22,"Rank":48,"Model":"bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.09,"OpusparcusPC (fr)":86.79,"PawsXPairClassification (fr)":53.39} +{"index":21,"Rank":49,"Model":"bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":70.08,"OpusparcusPC (fr)":86.78,"PawsXPairClassification (fr)":53.38} +{"index":50,"Rank":50,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":70.08,"OpusparcusPC (fr)":86.77,"PawsXPairClassification (fr)":53.39} +{"index":88,"Rank":51,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":68.56,"OpusparcusPC (fr)":83.73,"PawsXPairClassification (fr)":53.38} +{"index":87,"Rank":52,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":68.4,"OpusparcusPC (fr)":85.45,"PawsXPairClassification (fr)":51.35} +{"index":48,"Rank":53,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.39,"OpusparcusPC (fr)":82.0,"PawsXPairClassification (fr)":52.78} +{"index":47,"Rank":54,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":67.02,"OpusparcusPC (fr)":82.15,"PawsXPairClassification (fr)":51.89} +{"index":49,"Rank":55,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Average":64.46,"OpusparcusPC (fr)":74.78,"PawsXPairClassification (fr)":54.14} +{"index":46,"Rank":78,"Model":"SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":71.36} {"index":60,"Rank":81,"Model":"sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":66.96} {"index":91,"Rank":92,"Model":"text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","OpusparcusPC (fr)":94.45,"PawsXPairClassification (fr)":""} diff --git a/boards_data/fr/data_tasks/STS/default.jsonl b/boards_data/fr/data_tasks/STS/default.jsonl index ddfe0e641ec91458fb2fb5bc3c775e1abc20fbdc..4d99a68472ca3ecc9859b97f50429588bf9f3977 100644 --- a/boards_data/fr/data_tasks/STS/default.jsonl +++ b/boards_data/fr/data_tasks/STS/default.jsonl @@ -40,31 +40,31 @@ {"index":1,"Rank":40,"Model":"voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.82,"STS22 (fr)":70.51,"STSBenchmarkMultilingualSTS (fr)":76.43,"SICKFr":68.51} {"index":66,"Rank":41,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":68.14,"STS22 (fr)":77.0,"STSBenchmarkMultilingualSTS (fr)":64.93,"SICKFr":62.48} {"index":73,"Rank":42,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":66.86,"STS22 (fr)":74.62,"STSBenchmarkMultilingualSTS (fr)":63.85,"SICKFr":62.11} -{"index":52,"Rank":43,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":65.36,"STS22 (fr)":69.82,"STSBenchmarkMultilingualSTS (fr)":61.87,"SICKFr":64.39} -{"index":5,"Rank":44,"Model":"LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":64.46,"STS22 (fr)":58.61,"STSBenchmarkMultilingualSTS (fr)":69.82,"SICKFr":64.95} -{"index":57,"Rank":45,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":62.34,"STS22 (fr)":77.1,"STSBenchmarkMultilingualSTS (fr)":49.97,"SICKFr":59.94} -{"index":7,"Rank":46,"Model":"llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":59.33,"STS22 (fr)":67.83,"STSBenchmarkMultilingualSTS (fr)":51.98,"SICKFr":58.18} -{"index":51,"Rank":47,"Model":"bert-base-multilingual-uncased<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":56.57,"STS22 (fr)":56.47,"STSBenchmarkMultilingualSTS (fr)":54.97,"SICKFr":58.26} -{"index":47,"Rank":48,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"Average":52.12,"STS22 (fr)":65.37,"STSBenchmarkMultilingualSTS (fr)":37.14,"SICKFr":53.86} -{"index":58,"Rank":49,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":50.89,"STS22 (fr)":61.35,"STSBenchmarkMultilingualSTS (fr)":36.78,"SICKFr":54.54} -{"index":87,"Rank":50,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":50.52,"STS22 (fr)":56.72,"STSBenchmarkMultilingualSTS (fr)":46.23,"SICKFr":48.62} 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-{"index":2,"Rank":52,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.34} -{"index":66,"Rank":53,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":28.28} -{"index":85,"Rank":54,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.21} -{"index":70,"Rank":55,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"SummEvalFr":28.12} -{"index":73,"Rank":56,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":27.59} -{"index":58,"Rank":57,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":23.63} +{"index":59,"Rank":29,"Model":"bge-m3-custom-fr<\/a>","Model Size (Million 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+{"index":75,"Rank":36,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.47} +{"index":48,"Rank":37,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.43} +{"index":84,"Rank":38,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.33} +{"index":49,"Rank":39,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"SummEvalFr":29.25} +{"index":74,"Rank":40,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"SummEvalFr":29.2} +{"index":87,"Rank":41,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.14} +{"index":21,"Rank":42,"Model":"bert-base-15lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.13} +{"index":20,"Rank":43,"Model":"bert-base-10lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.06} +{"index":35,"Rank":44,"Model":"sentence-croissant-llm-base<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":29.04} +{"index":88,"Rank":45,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":28.89} +{"index":22,"Rank":46,"Model":"bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":28.84} +{"index":50,"Rank":47,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"SummEvalFr":28.81} +{"index":42,"Rank":48,"Model":"sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":28.77} +{"index":7,"Rank":49,"Model":"llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.72} +{"index":86,"Rank":50,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.56} +{"index":2,"Rank":51,"Model":"voyage-code-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.34} +{"index":66,"Rank":52,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":28.28} +{"index":85,"Rank":53,"Model":"universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.21} +{"index":70,"Rank":54,"Model":"distiluse-base-multilingual-cased-v2<\/a>","Model Size (Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"SummEvalFr":28.12} +{"index":73,"Rank":55,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"SummEvalFr":27.59} +{"index":58,"Rank":56,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":23.63} diff --git a/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl b/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl index 65866e767e2f5be3985e2e532f00f237fe5f85ff..caa5b8d1ec931d61cc7e6606a58a9f56291a08f8 100644 --- a/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl +++ b/boards_data/instructions/data_tasks/InstructionRetrieval/default.jsonl @@ -11,11 +11,12 @@ {"index":13,"Rank":11,"Model":"e5-large-v2<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"Average":-1.06,"Core17InstructionRetrieval":0.12,"News21InstructionRetrieval":0.87,"Robust04InstructionRetrieval":-4.16} {"index":6,"Rank":12,"Model":"monot5-base-msmarco-10k<\/a>","Model Size (Million Parameters)":220,"Memory Usage (GB, fp32)":0.82,"Average":-1.75,"Core17InstructionRetrieval":-4.06,"News21InstructionRetrieval":5.02,"Robust04InstructionRetrieval":-6.2} {"index":1,"Rank":13,"Model":"bm25<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.09,"Core17InstructionRetrieval":-1.06,"News21InstructionRetrieval":-2.15,"Robust04InstructionRetrieval":-3.06} -{"index":20,"Rank":14,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.68,"Core17InstructionRetrieval":-0.2,"News21InstructionRetrieval":-2.03,"Robust04InstructionRetrieval":-5.81} +{"index":21,"Rank":14,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":-2.68,"Core17InstructionRetrieval":-0.2,"News21InstructionRetrieval":-2.03,"Robust04InstructionRetrieval":-5.81} {"index":11,"Rank":15,"Model":"instructor-xl<\/a>","Model Size (Million Parameters)":1241,"Memory Usage (GB, 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(GB, fp32)":0.41,"Average":-3.88,"Core17InstructionRetrieval":-2.9,"News21InstructionRetrieval":-2.0,"Robust04InstructionRetrieval":-6.73} -{"index":10,"Rank":20,"Model":"instructor-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-4.43,"Core17InstructionRetrieval":-1.09,"News21InstructionRetrieval":-1.78,"Robust04InstructionRetrieval":-10.42} -{"index":19,"Rank":21,"Model":"tart-dual-contriever-msmarco<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-5.0,"Core17InstructionRetrieval":-3.04,"News21InstructionRetrieval":-2.98,"Robust04InstructionRetrieval":-8.98} +{"index":20,"Rank":16,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":-3.08,"Core17InstructionRetrieval":-0.74,"News21InstructionRetrieval":-1.79,"Robust04InstructionRetrieval":-6.71} +{"index":14,"Rank":17,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million 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(rus-Cyrl)":37.22,"HeadlineClassification (rus-Cyrl)":75.23,"InappropriatenessClassification (rus-Cyrl)":57.34,"KinopoiskClassification (rus-Cyrl)":49.91,"RuReviewsClassification (rus-Cyrl)":50.74,"RuSciBenchGRNTIClassification (rus-Cyrl)":48.03,"RuSciBenchOECDClassification (rus-Cyrl)":36.13} +{"index":8,"Rank":21,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":42.68,"GeoreviewClassification (rus-Cyrl)":33.45,"HeadlineClassification (rus-Cyrl)":57.65,"InappropriatenessClassification (rus-Cyrl)":54.5,"KinopoiskClassification (rus-Cyrl)":41.36,"RuReviewsClassification (rus-Cyrl)":49.56,"RuSciBenchGRNTIClassification (rus-Cyrl)":35.71,"RuSciBenchOECDClassification (rus-Cyrl)":26.51} +{"index":19,"Rank":22,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":29.53,"GeoreviewClassification (rus-Cyrl)":25.93,"HeadlineClassification 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(rus-Cyrl)":58.57,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.1,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":45.29} +{"index":13,"Rank":10,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":50.27,"GeoreviewClusteringP2P (rus-Cyrl)":54.46,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.56,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.78} +{"index":23,"Rank":11,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":49.57,"GeoreviewClusteringP2P (rus-Cyrl)":59.71,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":47.55,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.44} +{"index":21,"Rank":12,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":49.18,"GeoreviewClusteringP2P (rus-Cyrl)":56.18,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":48.47,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":42.9} +{"index":20,"Rank":13,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":47.75,"GeoreviewClusteringP2P (rus-Cyrl)":53.35,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":48.22,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.68} +{"index":16,"Rank":14,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":47.75,"GeoreviewClusteringP2P (rus-Cyrl)":52.19,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":49.09,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.97} +{"index":7,"Rank":15,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":46.84,"GeoreviewClusteringP2P (rus-Cyrl)":51.89,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":47.48,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":41.16} +{"index":3,"Rank":16,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, 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(rus-Cyrl)":34.12} +{"index":8,"Rank":20,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":30.76,"GeoreviewClusteringP2P (rus-Cyrl)":34.4,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":29.89,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":27.98} +{"index":2,"Rank":21,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":27.91,"GeoreviewClusteringP2P (rus-Cyrl)":28.77,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":28.29,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":26.67} +{"index":19,"Rank":22,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":15.83,"GeoreviewClusteringP2P (rus-Cyrl)":20.33,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":14.66,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":12.49} +{"index":17,"Rank":23,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":13.87,"GeoreviewClusteringP2P (rus-Cyrl)":20.76,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":10.65,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":10.19} +{"index":18,"Rank":24,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":13.3,"GeoreviewClusteringP2P (rus-Cyrl)":20.25,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":10.21,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":9.43} diff --git a/boards_data/ru/data_tasks/PairClassification/default.jsonl b/boards_data/ru/data_tasks/PairClassification/default.jsonl index 8581d0aaf57b112f68fe8a4930f37d306bc349af..fd59ade14eec66ae8a3e10958a5cd4b563fa1ed8 100644 --- a/boards_data/ru/data_tasks/PairClassification/default.jsonl +++ b/boards_data/ru/data_tasks/PairClassification/default.jsonl @@ -1,25 +1,23 @@ {"index":11,"Rank":1,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"TERRa (rus-Cyrl)":64.99} -{"index":22,"Rank":2,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":64.57} +{"index":21,"Rank":2,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":64.57} {"index":4,"Rank":3,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"TERRa (rus-Cyrl)":60.79} {"index":0,"Rank":4,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"TERRa (rus-Cyrl)":60.6} {"index":10,"Rank":5,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"TERRa (rus-Cyrl)":60.02} -{"index":13,"Rank":6,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"TERRa (rus-Cyrl)":59.38} -{"index":3,"Rank":7,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":59.12} -{"index":21,"Rank":8,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":58.56} -{"index":15,"Rank":9,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"TERRa (rus-Cyrl)":58.4} -{"index":23,"Rank":10,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":57.81} -{"index":24,"Rank":11,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":56.09} -{"index":17,"Rank":12,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"TERRa (rus-Cyrl)":55.71} -{"index":7,"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":55.61} -{"index":16,"Rank":14,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":55.14} -{"index":14,"Rank":15,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":54.96} -{"index":12,"Rank":16,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"TERRa (rus-Cyrl)":53.78} -{"index":1,"Rank":17,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"TERRa (rus-Cyrl)":52.48} -{"index":2,"Rank":18,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":52.12} -{"index":5,"Rank":19,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"TERRa (rus-Cyrl)":51.97} -{"index":9,"Rank":20,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":51.87} -{"index":8,"Rank":21,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"TERRa (rus-Cyrl)":51.06} -{"index":6,"Rank":22,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"TERRa (rus-Cyrl)":50.17} -{"index":18,"Rank":23,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"TERRa (rus-Cyrl)":46.4} -{"index":19,"Rank":24,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"TERRa (rus-Cyrl)":45.03} -{"index":20,"Rank":25,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"TERRa (rus-Cyrl)":44.52} +{"index":3,"Rank":6,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":59.12} +{"index":20,"Rank":7,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":58.56} +{"index":14,"Rank":8,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"TERRa (rus-Cyrl)":58.4} +{"index":22,"Rank":9,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":57.81} +{"index":23,"Rank":10,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":56.09} +{"index":16,"Rank":11,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"TERRa (rus-Cyrl)":55.71} +{"index":7,"Rank":12,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":55.61} +{"index":15,"Rank":13,"Model":"multilingual-e5-small<\/a>","Model Size (Million 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+{"index":8,"Rank":20,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"TERRa (rus-Cyrl)":51.06} +{"index":6,"Rank":21,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"TERRa (rus-Cyrl)":50.17} +{"index":17,"Rank":22,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"TERRa (rus-Cyrl)":46.4} +{"index":18,"Rank":23,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"TERRa (rus-Cyrl)":45.03} diff --git a/boards_data/ru/data_tasks/Reranking/default.jsonl b/boards_data/ru/data_tasks/Reranking/default.jsonl index 94b26645ae88603d8786540ad94907d69e1570f6..769e40aad605a42896ca667acdbc3b8c95719e88 100644 --- a/boards_data/ru/data_tasks/Reranking/default.jsonl +++ b/boards_data/ru/data_tasks/Reranking/default.jsonl @@ -1,25 +1,24 @@ -{"index":15,"Rank":1,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"RuBQReranking (rus-Cyrl)":75.58} -{"index":13,"Rank":2,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"RuBQReranking (rus-Cyrl)":74.61} -{"index":0,"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"RuBQReranking (rus-Cyrl)":74.02} -{"index":11,"Rank":4,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"RuBQReranking (rus-Cyrl)":73.08} -{"index":14,"Rank":5,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"RuBQReranking (rus-Cyrl)":72.01} -{"index":16,"Rank":6,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"RuBQReranking (rus-Cyrl)":71.46} -{"index":4,"Rank":7,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"RuBQReranking (rus-Cyrl)":70.87} -{"index":23,"Rank":8,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"RuBQReranking (rus-Cyrl)":68.65} -{"index":10,"Rank":9,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"RuBQReranking (rus-Cyrl)":64.42} -{"index":24,"Rank":10,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"RuBQReranking (rus-Cyrl)":62.15} -{"index":22,"Rank":11,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"RuBQReranking (rus-Cyrl)":58.77} -{"index":5,"Rank":12,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"RuBQReranking (rus-Cyrl)":56.13} -{"index":17,"Rank":13,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"RuBQReranking (rus-Cyrl)":55.13} -{"index":7,"Rank":14,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"RuBQReranking (rus-Cyrl)":54.83} -{"index":21,"Rank":15,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"RuBQReranking (rus-Cyrl)":52.8} -{"index":6,"Rank":16,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"RuBQReranking (rus-Cyrl)":46.81} -{"index":9,"Rank":17,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"RuBQReranking (rus-Cyrl)":46.09} -{"index":1,"Rank":18,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"RuBQReranking (rus-Cyrl)":42.58} -{"index":2,"Rank":19,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"RuBQReranking (rus-Cyrl)":41.65} -{"index":3,"Rank":20,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"RuBQReranking (rus-Cyrl)":39.89} -{"index":18,"Rank":21,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"RuBQReranking (rus-Cyrl)":38.51} -{"index":8,"Rank":22,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"RuBQReranking (rus-Cyrl)":35.44} -{"index":12,"Rank":23,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"RuBQReranking (rus-Cyrl)":34.01} -{"index":20,"Rank":24,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"RuBQReranking (rus-Cyrl)":30.96} -{"index":19,"Rank":25,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"RuBQReranking (rus-Cyrl)":27.05} 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(Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"RuBQReranking (rus-Cyrl)":68.65} +{"index":10,"Rank":8,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"RuBQReranking (rus-Cyrl)":64.42} +{"index":23,"Rank":9,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"RuBQReranking (rus-Cyrl)":62.15} +{"index":21,"Rank":10,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"RuBQReranking (rus-Cyrl)":58.77} +{"index":5,"Rank":11,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"RuBQReranking (rus-Cyrl)":56.13} +{"index":16,"Rank":12,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"RuBQReranking (rus-Cyrl)":55.13} +{"index":7,"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, 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d175d7f27f48e60cc35a62157c26d2d8e9c3a16a..e0e82ee2434ba4ea50feedb45c86eac31a9d26f1 100644 --- a/boards_data/ru/data_tasks/Retrieval/default.jsonl +++ b/boards_data/ru/data_tasks/Retrieval/default.jsonl @@ -1,25 +1,24 @@ -{"index":13,"Rank":1,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":77.96,"RiaNewsRetrieval (rus-Cyrl)":81.94,"RuBQRetrieval (rus-Cyrl)":73.98} -{"index":15,"Rank":2,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.39,"RiaNewsRetrieval (rus-Cyrl)":80.67,"RuBQRetrieval (rus-Cyrl)":74.11} -{"index":0,"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":77.1,"RiaNewsRetrieval (rus-Cyrl)":82.98,"RuBQRetrieval (rus-Cyrl)":71.21} -{"index":11,"Rank":4,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":76.78,"RiaNewsRetrieval (rus-Cyrl)":83.53,"RuBQRetrieval (rus-Cyrl)":70.03} -{"index":4,"Rank":5,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Average":72.82,"RiaNewsRetrieval (rus-Cyrl)":78.86,"RuBQRetrieval (rus-Cyrl)":66.77} -{"index":14,"Rank":6,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":69.91,"RiaNewsRetrieval (rus-Cyrl)":70.24,"RuBQRetrieval (rus-Cyrl)":69.58} -{"index":16,"Rank":7,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":69.27,"RiaNewsRetrieval (rus-Cyrl)":70.01,"RuBQRetrieval (rus-Cyrl)":68.53} -{"index":23,"Rank":8,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":67.54,"RiaNewsRetrieval (rus-Cyrl)":69.36,"RuBQRetrieval (rus-Cyrl)":65.71} -{"index":10,"Rank":9,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, 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-{"index":7,"Rank":14,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":31.88,"RiaNewsRetrieval (rus-Cyrl)":34.73,"RuBQRetrieval (rus-Cyrl)":29.03} -{"index":5,"Rank":15,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":25.6,"RiaNewsRetrieval (rus-Cyrl)":21.4,"RuBQRetrieval (rus-Cyrl)":29.8} -{"index":9,"Rank":16,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":12.4,"RiaNewsRetrieval (rus-Cyrl)":13.92,"RuBQRetrieval (rus-Cyrl)":10.87} -{"index":6,"Rank":17,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":11.78,"RiaNewsRetrieval (rus-Cyrl)":11.11,"RuBQRetrieval (rus-Cyrl)":12.45} -{"index":3,"Rank":18,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":9.68,"RiaNewsRetrieval (rus-Cyrl)":6.72,"RuBQRetrieval (rus-Cyrl)":12.63} -{"index":2,"Rank":19,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":7.55,"RiaNewsRetrieval (rus-Cyrl)":5.58,"RuBQRetrieval (rus-Cyrl)":9.52} -{"index":12,"Rank":20,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":7.5,"RiaNewsRetrieval (rus-Cyrl)":4.84,"RuBQRetrieval (rus-Cyrl)":10.15} -{"index":1,"Rank":21,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":7.37,"RiaNewsRetrieval (rus-Cyrl)":4.14,"RuBQRetrieval (rus-Cyrl)":10.6} -{"index":8,"Rank":22,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":2.02,"RiaNewsRetrieval (rus-Cyrl)":0.79,"RuBQRetrieval (rus-Cyrl)":3.24} -{"index":19,"Rank":23,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage 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Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":9.68,"RiaNewsRetrieval (rus-Cyrl)":6.72,"RuBQRetrieval (rus-Cyrl)":12.63} +{"index":2,"Rank":18,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":7.55,"RiaNewsRetrieval (rus-Cyrl)":5.58,"RuBQRetrieval (rus-Cyrl)":9.52} +{"index":12,"Rank":19,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":7.5,"RiaNewsRetrieval (rus-Cyrl)":4.84,"RuBQRetrieval (rus-Cyrl)":10.15} +{"index":1,"Rank":20,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":7.37,"RiaNewsRetrieval (rus-Cyrl)":4.14,"RuBQRetrieval (rus-Cyrl)":10.6} +{"index":8,"Rank":21,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":2.02,"RiaNewsRetrieval (rus-Cyrl)":0.79,"RuBQRetrieval (rus-Cyrl)":3.24} +{"index":18,"Rank":22,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":1.66,"RiaNewsRetrieval (rus-Cyrl)":0.67,"RuBQRetrieval (rus-Cyrl)":2.64} +{"index":17,"Rank":23,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":"","RiaNewsRetrieval (rus-Cyrl)":"","RuBQRetrieval (rus-Cyrl)":8.84} +{"index":19,"Rank":24,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","RiaNewsRetrieval (rus-Cyrl)":"","RuBQRetrieval (rus-Cyrl)":4.75} diff --git a/boards_data/ru/data_tasks/STS/default.jsonl b/boards_data/ru/data_tasks/STS/default.jsonl index dcf6aaa1f46c1df70e63da7188351aef04f4bf31..100a8100f7c68512a1b58394f658d887fb059fbd 100644 --- a/boards_data/ru/data_tasks/STS/default.jsonl +++ b/boards_data/ru/data_tasks/STS/default.jsonl @@ -1,25 +1,23 @@ -{"index":13,"Rank":1,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":80.15,"RUParaPhraserSTS (rus-Cyrl)":76.17,"RuSTSBenchmarkSTS (rus-Cyrl)":84.13} -{"index":11,"Rank":2,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":79.85,"RUParaPhraserSTS (rus-Cyrl)":76.36,"RuSTSBenchmarkSTS (rus-Cyrl)":83.35} -{"index":10,"Rank":3,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":77.91,"RUParaPhraserSTS (rus-Cyrl)":73.56,"RuSTSBenchmarkSTS (rus-Cyrl)":82.26} -{"index":15,"Rank":4,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.48,"RUParaPhraserSTS (rus-Cyrl)":71.82,"RuSTSBenchmarkSTS (rus-Cyrl)":83.15} -{"index":4,"Rank":5,"Model":"ru-en-RoSBERTa<\/a>","Model Size (Million Parameters)":404,"Memory Usage (GB, fp32)":1.5,"Average":77.42,"RUParaPhraserSTS (rus-Cyrl)":76.16,"RuSTSBenchmarkSTS (rus-Cyrl)":78.69} -{"index":0,"Rank":6,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":77.39,"RUParaPhraserSTS (rus-Cyrl)":74.9,"RuSTSBenchmarkSTS (rus-Cyrl)":79.87} -{"index":23,"Rank":7,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":77.37,"RUParaPhraserSTS (rus-Cyrl)":72.97,"RuSTSBenchmarkSTS (rus-Cyrl)":81.77} -{"index":24,"Rank":8,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":75.32,"RUParaPhraserSTS (rus-Cyrl)":72.15,"RuSTSBenchmarkSTS (rus-Cyrl)":78.48} -{"index":14,"Rank":9,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":74.9,"RUParaPhraserSTS (rus-Cyrl)":70.17,"RuSTSBenchmarkSTS (rus-Cyrl)":79.64} -{"index":16,"Rank":10,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, 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fp32)":"","Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":66.82,"STSB":""} diff --git a/config.yaml b/config.yaml index f69b40fd9611ad195ae019dfd403510c1aab120c..6c2b5dc60aeaae2cdb3eb963d1c1d0ae8000da62 100644 --- a/config.yaml +++ b/config.yaml @@ -275,41 +275,6 @@ boards: - Robust04InstructionRetrieval - News21InstructionRetrieval - Core17InstructionRetrieval - law: - title: Law - language_long: "English, German, Chinese" - has_overall: false - acronym: null - icon: "⚖️" - special_icons: null - credits: "[Voyage AI](https://www.voyageai.com/)" - tasks: - Retrieval: - - AILACasedocs - - AILAStatutes - - GerDaLIRSmall - - LeCaRDv2 - - LegalBenchConsumerContractsQA - - LegalBenchCorporateLobbying - - LegalQuAD - - LegalSummarization - longembed: - title: LongEmbed - language_long: "English" - has_overall: false - acronym: null - icon: "📚" - special_icons: null - credits: "[LongEmbed](https://arxiv.org/abs/2404.12096v2)" - metric: nDCG@10 (for NarrativeQA, QMSum, SummScreenFD, WikimQA) & nDCG@1 (for passkey and needle) - tasks: - Retrieval: - - LEMBNarrativeQARetrieval - - LEMBNeedleRetrieval - - LEMBPasskeyRetrieval - - LEMBQMSumRetrieval - - LEMBSummScreenFDRetrieval - - LEMBWikimQARetrieval de: title: German language_long: "German" @@ -434,6 +399,41 @@ boards: credits: null tasks: STS: ["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"] + law: + title: Law + language_long: "English, German, Chinese" + has_overall: false + acronym: null + icon: "⚖️" + special_icons: null + credits: "[Voyage AI](https://www.voyageai.com/)" + tasks: + Retrieval: + - AILACasedocs + - AILAStatutes + - GerDaLIRSmall + - LeCaRDv2 + - LegalBenchConsumerContractsQA + - LegalBenchCorporateLobbying + - LegalQuAD + - LegalSummarization + longembed: + title: LongEmbed + language_long: "English" + has_overall: false + acronym: null + icon: "📚" + special_icons: null + credits: "[LongEmbed (Dawei Zhu et al.)](https://arxiv.org/abs/2404.12096v2)" + metric: nDCG@10 (for NarrativeQA, QMSum, SummScreenFD, WikimQA) & nDCG@1 (for passkey and needle) + tasks: + Retrieval: + - LEMBNarrativeQARetrieval + - LEMBNeedleRetrieval + - LEMBPasskeyRetrieval + - LEMBQMSumRetrieval + - LEMBSummScreenFDRetrieval + - LEMBWikimQARetrieval rar-b: title: RAR-b language_long: "English" @@ -441,7 +441,7 @@ boards: acronym: null icon: "📚" special_icons: null - credits: "[RAR-b (Xiao et al.)](https://arxiv.org/abs/2404.06347/)" + credits: "[RAR-b (Chenghao Xiao et al.)](https://arxiv.org/abs/2404.06347/)" metric: nDCG@10 tasks: Retrieval: @@ -469,6 +469,8 @@ boards: special_icons: null credits: "[BRIGHT (Hongjin Su, Howard Yen, Mengzhou Xia et al.)](https://brightbenchmark.github.io/)" metric: nDCG@10 + split: standard + desc: This tab only allows submissions with the original queries; not results from LLM rewritten queries or using reranking. tasks: Retrieval: - BrightRetrieval (biology) @@ -483,3 +485,45 @@ boards: - BrightRetrieval (aops) - BrightRetrieval (theoremqa_theorems) - BrightRetrieval (theoremqa_questions) + bright_long: + title: BRIGHT Long + language_long: "English" + has_overall: false + acronym: null + icon: "🌟" + special_icons: null + credits: "[BRIGHT (Hongjin Su, Howard Yen, Mengzhou Xia et al.)](https://brightbenchmark.github.io/)" + metric: Recall@1 + split: long + desc: This tab is for the long document setting of BRIGHT. + tasks: + Retrieval: + - BrightRetrieval (biology) + - BrightRetrieval (earth_science) + - BrightRetrieval (economics) + - BrightRetrieval (psychology) + - BrightRetrieval (robotics) + - BrightRetrieval (stackoverflow) + - BrightRetrieval (sustainable_living) + - BrightRetrieval (pony) + coir: + title: CoIR + language_long: "Code" + has_overall: false + acronym: null + icon: "💻" + special_icons: null + credits: "[Samoed](https://github.com/Samoed) and [monikernemo](https://github.com/monikernemo) and [CoIR (Xiangyang Li, Kuicai Dong, Yi Quan Lee et al.)](https://arxiv.org/abs/2407.02883)" + metric: nDCG@10 + tasks: + Retrieval: + - AppsRetrieval + - CodeFeedbackMT + - CodeFeedbackST + - CodeSearchNetCCRetrieval + - CodeSearchNetRetrieval + - CodeTransOceanContest + - CodeTransOceanDL + - CosQA + - StackOverflowQA + - SyntheticText2SQL \ No newline at end of file diff --git a/refresh.py b/refresh.py index 9ca11d5cdc535e9a045f66df5644ff3106506015..aea045efbef30df2c3d8565770e7d3bb6f022bba 100644 --- a/refresh.py +++ b/refresh.py @@ -78,9 +78,12 @@ NOINSTRUCT_MODELS = { TASK_TO_TASK_TYPE = {task_category: [] for task_category in TASKS} -for board_config in BOARDS_CONFIG.values(): +TASK_TO_SPLIT = {} +for k, board_config in BOARDS_CONFIG.items(): for task_category, task_list in board_config["tasks"].items(): TASK_TO_TASK_TYPE[task_category].extend(task_list) + if "split" in board_config: + TASK_TO_SPLIT[k] = board_config["split"] ## Don't cache this because we want to re-compute every time @@ -161,17 +164,20 @@ def filter_metric_external(x, task, metrics) -> bool: # This is a hack for the passkey and needle retrieval test, which reports ndcg_at_1 (i.e. accuracy), rather than the ndcg_at_10 that is commonly used for retrieval tasks. if x["mteb_dataset_name"] in ["LEMBNeedleRetrieval", "LEMBPasskeyRetrieval"]: return bool(x["mteb_task"] == task and x["metric"] == "ndcg_at_1") + elif (x["mteb_dataset_name"].startswith("BrightRetrieval") and (x["split"] == "long")): + return bool(x["mteb_task"] == task and x["metric"] in ["recall_at_1"]) else: return bool(x["mteb_task"] == task and x["metric"] in metrics) -def filter_metric_fetched(name: str, metric: str, expected_metrics) -> bool: +def filter_metric_fetched(name: str, metric: str, expected_metrics, split: str) -> bool: # This is a hack for the passkey and needle retrieval test, which reports ndcg_at_1 (i.e. accuracy), rather than the ndcg_at_10 that is commonly used for retrieval tasks. - return bool( - metric == "ndcg_at_1" - if name in ["LEMBNeedleRetrieval", "LEMBPasskeyRetrieval"] - else metric in expected_metrics - ) + if name in ["LEMBNeedleRetrieval", "LEMBPasskeyRetrieval"]: + return bool(metric == "ndcg_at_1") + elif (name.startswith("BrightRetrieval") and (split == "long")): + return bool(metric in ["recall_at_1"]) + else: + return bool(metric in expected_metrics) def get_dim_seq_size(model): @@ -235,13 +241,23 @@ def get_external_model_results(): pbar = tqdm(models_to_run, desc="Fetching external model results") for model in pbar: pbar.set_description(f"Fetching external model results for {model!r}") - ds = load_dataset( - RESULTS_REPO, - model, - trust_remote_code=True, - download_mode="force_redownload", - verification_mode="no_checks", - ) + try: + ds = load_dataset( + RESULTS_REPO, + model, + trust_remote_code=True, + download_mode="force_redownload", + verification_mode="no_checks", + ) + except KeyError as e: + model_tmp = "__".join(MODEL_META["model_meta"][model]["link"].split("/")[-2:]) + ds = load_dataset( + RESULTS_REPO, + model_tmp, + trust_remote_code=True, + download_mode="force_redownload", + verification_mode="no_checks", + ) ds = ds.map(add_lang) ds = ds.map(add_task) base_dict = { @@ -254,19 +270,39 @@ def get_external_model_results(): } for task, metrics in TASK_TO_METRIC.items(): - ds_dict = ds.filter(lambda x: filter_metric_external(x, task, metrics))[ + ds_sub = ds.filter(lambda x: filter_metric_external(x, task, metrics))[ "test" - ].to_dict() - ds_dict = { - k: round(v, 2) - for k, v in zip( - ds_dict["mteb_dataset_name_with_lang"], ds_dict["score"] + ] + metrics = ds_sub.unique("metric") + for metric in metrics: + ds_dict = ds_sub.filter(lambda x: x["metric"] == metric).to_dict() + ds_dict = { + k: round(v, 2) + for k, v in zip( + ds_dict["mteb_dataset_name_with_lang"], ds_dict["score"] + ) + } + # metrics[0] is the main name for this metric; other names in the list are legacy for backward-compat + # except for recall_at_1, which is the main name for BrightRetrieval (Long) + metric = metrics[0] if metric != "recall_at_1" else metric + if metric not in EXTERNAL_MODEL_RESULTS[model][task]: + EXTERNAL_MODEL_RESULTS[model][task][metric] = [] + EXTERNAL_MODEL_RESULTS[model][task][metric].append( + {**base_dict, **ds_dict} ) - } - # metrics[0] is the main name for this metric; other names in the list are legacy for backward-compat - EXTERNAL_MODEL_RESULTS[model][task][metrics[0]].append( - {**base_dict, **ds_dict} - ) + #ds_dict = ds.filter(lambda x: filter_metric_external(x, task, metrics))[ + # "test" + #].to_dict() + #ds_dict = { + # k: round(v, 2) + # for k, v in zip( + # ds_dict["mteb_dataset_name_with_lang"], ds_dict["score"] + # ) + #} + ## metrics[0] is the main name for this metric; other names in the list are legacy for backward-compat + #EXTERNAL_MODEL_RESULTS[model][task][metrics[0]].append( + # {**base_dict, **ds_dict} + #) # Save & cache EXTERNAL_MODEL_RESULTS with open("EXTERNAL_MODEL_RESULTS.json", "w") as f: @@ -318,8 +354,8 @@ def get_mteb_data( results_list = [] for task in tasks: # Not all models have InstructionRetrieval, other new tasks - if task not in external_model_results[model]: - continue + if task not in external_model_results[model]: continue + if task_to_metric[task][0] not in external_model_results[model][task]: continue results_list += external_model_results[model][task][task_to_metric[task][0]] if len(datasets) > 0: @@ -414,6 +450,7 @@ def get_mteb_data( res["dataset"]["name"].replace("MTEB ", ""), score["type"], task_to_metric.get(res["task"]["type"]), + res["dataset"]["split"], ) ][0] } @@ -608,6 +645,11 @@ def refresh_leaderboard() -> tuple[list, dict]: leave=True, ) for board, board_config in pbar_tasks: + # Optional fetch only for a specific board + # if board != "bright_long": continue + # Very hacky - should fix this as soon as possible + if board == "bright_long": + TASK_TO_METRIC["Retrieval"] = ["recall_at_1"] boards_data[board] = {"data_overall": None, "data_tasks": {}} pbar_tasks.set_description(f"Fetching leaderboard results for {board!r}") pbar_tasks.refresh() @@ -626,10 +668,10 @@ def refresh_leaderboard() -> tuple[list, dict]: ) boards_data[board]["data_tasks"][task_category] = data_task_category all_data_tasks.append(data_task_category) - + if board == "bright_long": + TASK_TO_METRIC["Retrieval"] = ["ndcg_at_10"] return all_data_tasks, boards_data - def write_out_results(item: dict, item_name: str) -> None: """ Due to their complex structure, let's recursively create subfolders until we reach the end