diff --git a/EXTERNAL_MODEL_RESULTS.json b/EXTERNAL_MODEL_RESULTS.json index 43361987968acc458106d6e0c288c9b5eaef9df6..02e50f17cd0b82cbe875150320668a28f2cb7577 100644 --- a/EXTERNAL_MODEL_RESULTS.json +++ b/EXTERNAL_MODEL_RESULTS.json @@ -24553,13 +24553,81 @@ ] } }, + "instructor-base": { + "BitextMining": { + "f1": [ + { + "Model": "instructor-base" + } + ] + }, + "Classification": { + "accuracy": [ + { + "Model": "instructor-base" + } + ] + }, + "Clustering": { + "v_measure": [ + { + "Model": "instructor-base" + } + ] + }, + "PairClassification": { + "ap": [ + { + "Model": "instructor-base" + } + ] + }, + "Reranking": { + "map": [ + { + "Model": "instructor-base" + } + ] + }, + "Retrieval": { + "ndcg_at_10": [ + { + "Model": "instructor-base" + } + ] + }, + "STS": { + "spearman": [ + { + "Model": "instructor-base" + } + ] + }, + "Summarization": { + "spearman": [ + { + "Model": "instructor-base" + } + ] + }, + "InstructionRetrieval": { + "p-MRR": [ + { + "Model": "instructor-base", + "Core17InstructionRetrieval": -1.09, + "News21InstructionRetrieval": -1.78, + "Robust04InstructionRetrieval": -10.42 + } + ] + } + }, "multilingual-e5-base": { "BitextMining": { "f1": [ { "Model": "multilingual-e5-base", - "BornholmBitextMining (dan-Latn)": 33.22, "BornholmBitextMining": 46.4, + "BornholmBitextMining (dan-Latn)": 33.22, "Tatoeba (kzj-Latn_eng-Latn)": 6.26, "Tatoeba (ina-Latn_eng-Latn)": 86.11, "Tatoeba (bre-Latn_eng-Latn)": 5.44, @@ -24679,54 +24747,55 @@ "accuracy": [ { "Model": "multilingual-e5-base", - "AllegroReviews (pol-Latn)": 40.78, "AllegroReviews": 40.85, + "AllegroReviews (pol-Latn)": 40.78, "AmazonCounterfactualClassification (en-ext)": 76.91, "AmazonCounterfactualClassification (en)": 77.36, "AmazonCounterfactualClassification (deu-Latn)": 70.81, "AmazonCounterfactualClassification (jpn-Jpan)": 72.02, "AmazonPolarityClassification": 91.76, + "AmazonReviewsClassification (fr)": 40.94, "AmazonReviewsClassification (en)": 47.54, "AmazonReviewsClassification (deu-Latn)": 44.37, "AmazonReviewsClassification (spa-Latn)": 43.38, "AmazonReviewsClassification (fra-Latn)": 41.55, "AmazonReviewsClassification (jpn-Jpan)": 39.57, "AmazonReviewsClassification (cmn-Hans)": 38.34, - "AmazonReviewsClassification (fr)": 40.94, - "AngryTweetsClassification (dan-Latn)": 56.28, "AngryTweetsClassification": 54.65, + "AngryTweetsClassification (dan-Latn)": 56.28, "Banking77Classification": 73.53, - "CBD (pol-Latn)": 62.6, "CBD": 62.66, + "CBD (pol-Latn)": 62.6, "DKHateClassification": 63.53, - "DanishPoliticalCommentsClassification (dan-Latn)": 36.41, "DanishPoliticalCommentsClassification": 36.69, + "DanishPoliticalCommentsClassification (dan-Latn)": 36.41, "EmotionClassification": 45.68, "GeoreviewClassification (rus-Cyrl)": 46.05, "HeadlineClassification (rus-Cyrl)": 75.64, - "IFlyTek (cmn-Hans)": 40.81, "IFlyTek": 44.93, + "IFlyTek (cmn-Hans)": 40.81, "ImdbClassification": 84.29, "InappropriatenessClassification (rus-Cyrl)": 58.78, - "JDReview (cmn-Hans)": 75.72, "JDReview": 76.21, + "JDReview (cmn-Hans)": 75.72, "KinopoiskClassification (rus-Cyrl)": 50.89, - "LccSentimentClassification (dan-Latn)": 60.13, "LccSentimentClassification": 59.67, + "LccSentimentClassification (dan-Latn)": 60.13, + "MTOPDomainClassification (fr)": 84.79, "MTOPDomainClassification (en)": 90.9, "MTOPDomainClassification (deu-Latn)": 87.94, "MTOPDomainClassification (spa-Latn)": 85.96, "MTOPDomainClassification (fra-Latn)": 82.88, "MTOPDomainClassification (hin-Deva)": 83.92, "MTOPDomainClassification (tha-Thai)": 83.94, - "MTOPDomainClassification (fr)": 84.79, + "MTOPIntentClassification (fr)": 55.51, "MTOPIntentClassification (en)": 61.6, "MTOPIntentClassification (deu-Latn)": 61.05, "MTOPIntentClassification (spa-Latn)": 55.36, "MTOPIntentClassification (fra-Latn)": 52.23, "MTOPIntentClassification (hin-Deva)": 53.93, "MTOPIntentClassification (tha-Thai)": 58.69, - "MTOPIntentClassification (fr)": 55.51, + "MasakhaNEWSClassification (fra)": 79.69, "MasakhaNEWSClassification (amh-Ethi)": 83.8, "MasakhaNEWSClassification (eng)": 76.49, "MasakhaNEWSClassification (fra-Latn)": 76.35, @@ -24743,7 +24812,10 @@ "MasakhaNEWSClassification (tir-Ethi)": 67.1, "MasakhaNEWSClassification (xho-Latn)": 76.03, "MasakhaNEWSClassification (yor-Latn)": 72.75, - "MasakhaNEWSClassification (fra)": 79.69, + "MassiveIntentClassification (da)": 60.16, + "MassiveIntentClassification (nb)": 59.83, + "MassiveIntentClassification (sv)": 61.78, + "MassiveIntentClassification (pl)": 61.04, "MassiveIntentClassification (tha-Thai)": 59.63, "MassiveIntentClassification (tam-Taml)": 48.93, "MassiveIntentClassification (fin-Latn)": 58.91, @@ -24795,10 +24867,10 @@ "MassiveIntentClassification (fra-Latn)": 61.32, "MassiveIntentClassification (swa-Latn)": 45.24, "MassiveIntentClassification (spa-Latn)": 61.13, - "MassiveIntentClassification (da)": 60.16, - "MassiveIntentClassification (nb)": 59.83, - "MassiveIntentClassification (sv)": 61.78, - "MassiveIntentClassification (pl)": 61.04, + "MassiveScenarioClassification (da)": 67.46, + "MassiveScenarioClassification (nb)": 66.18, + "MassiveScenarioClassification (sv)": 69.15, + "MassiveScenarioClassification (pl)": 66.11, "MassiveScenarioClassification (ind-Latn)": 63.6, "MassiveScenarioClassification (tha-Thai)": 67.37, "MassiveScenarioClassification (cmo-Hans)": 70.24, @@ -24850,36 +24922,32 @@ "MassiveScenarioClassification (ita-Latn)": 66.17, "MassiveScenarioClassification (kat-Geor)": 43.38, "MassiveScenarioClassification (swe-Latn)": 69.35, - "MassiveScenarioClassification (da)": 67.46, - "MassiveScenarioClassification (nb)": 66.18, - "MassiveScenarioClassification (sv)": 69.15, - "MassiveScenarioClassification (pl)": 66.11, - "MultilingualSentiment (cmn-Hans)": 67.56, "MultilingualSentiment": 65.28, - "NoRecClassification (nob-Latn)": 53.74, + "MultilingualSentiment (cmn-Hans)": 67.56, "NoRecClassification": 57.58, - "NordicLangClassification (nob-Latn_nno-Latn_dan-Latn_swe-Latn_isl-Latn_fao-Latn)": 75.85, + "NoRecClassification (nob-Latn)": 53.74, "NordicLangClassification": 75.94, + "NordicLangClassification (nob-Latn_nno-Latn_dan-Latn_swe-Latn_isl-Latn_fao-Latn)": 75.85, "NorwegianParliament": 59.94, - "OnlineShopping (cmn-Hans)": 88.66, "OnlineShopping": 88.4, - "PAC (pol-Latn)": 70.87, + "OnlineShopping (cmn-Hans)": 88.66, "PAC": 70.87, - "PolEmo2.0-IN (pol-Latn)": 67.59, + "PAC (pol-Latn)": 70.87, "PolEmo2.0-IN": 67.66, - "PolEmo2.0-OUT (pol-Latn)": 43.93, + "PolEmo2.0-IN (pol-Latn)": 67.59, "PolEmo2.0-OUT": 43.91, + "PolEmo2.0-OUT (pol-Latn)": 43.93, "RuReviewsClassification (rus-Cyrl)": 62.99, "RuSciBenchGRNTIClassification (rus-Cyrl)": 56.28, "RuSciBenchOECDClassification (rus-Cyrl)": 42.69, "ScalaDaClassification": 50.79, "ScalaNbClassification": 50.32, - "TNews (cmn-Hans)": 47.52, "TNews": 47.06, + "TNews (cmn-Hans)": 47.52, "ToxicConversationsClassification": 64.33, "TweetSentimentExtractionClassification": 62.8, - "Waimai (cmn-Hans)": 85.98, - "Waimai": 84.42 + "Waimai": 84.42, + "Waimai (cmn-Hans)": 85.98 } ] }, @@ -24898,10 +24966,9 @@ "CLSClusteringS2S": 36.99, "GeoreviewClusteringP2P (rus-Cyrl)": 54.46, "HALClusteringS2S": 22.48, - "MLSUMClusteringP2P (rus-Cyrl)": 43.47, "MLSUMClusteringP2P": 43.48, - "MLSUMClusteringS2S (rus-Cyrl)": 40.87, "MLSUMClusteringS2S": 38.53, + "MasakhaNEWSClusteringP2P (fra)": 47.91, "MasakhaNEWSClusteringP2P (amh-Ethi)": 58.05, "MasakhaNEWSClusteringP2P (eng)": 43.8, "MasakhaNEWSClusteringP2P (fra-Latn)": 58.28, @@ -24918,7 +24985,7 @@ "MasakhaNEWSClusteringP2P (tir-Ethi)": 53.44, "MasakhaNEWSClusteringP2P (xho-Latn)": 40.32, "MasakhaNEWSClusteringP2P (yor-Latn)": 37.97, - "MasakhaNEWSClusteringP2P (fra)": 47.91, + "MasakhaNEWSClusteringS2S (fra)": 51.16, "MasakhaNEWSClusteringS2S (amh-Ethi)": 49.38, "MasakhaNEWSClusteringS2S (eng)": 45.76, "MasakhaNEWSClusteringS2S (fra-Latn)": 55.43, @@ -24935,7 +25002,6 @@ "MasakhaNEWSClusteringS2S (tir-Ethi)": 51.66, "MasakhaNEWSClusteringS2S (xho-Latn)": 29.65, "MasakhaNEWSClusteringS2S (yor-Latn)": 30.12, - "MasakhaNEWSClusteringS2S (fra)": 51.16, "MedrxivClusteringP2P": 30.6, "MedrxivClusteringS2S": 28.73, "RedditClustering": 43.15, @@ -24954,20 +25020,21 @@ "ap": [ { "Model": "multilingual-e5-base", - "CDSC-E (pol-Latn)": 72.7, "CDSC-E": 72.67, + "CDSC-E (pol-Latn)": 72.7, "Cmnli": 74.51, "Ocnli": 59.63, + "OpusparcusPC (fr)": 92.72, "OpusparcusPC (deu-Latn)": 95.83, "OpusparcusPC (en)": 98.71, "OpusparcusPC (fin-Latn)": 90.3, "OpusparcusPC (fra-Latn)": 92.12, "OpusparcusPC (rus-Cyrl)": 86.82, "OpusparcusPC (swe-Latn)": 93.05, - "OpusparcusPC (fr)": 92.72, "PPC": 88.01, - "PSC (pol-Latn)": 99.14, "PSC": 99.14, + "PSC (pol-Latn)": 99.14, + "PawsXPairClassification (fr)": 56.93, "PawsXPairClassification (deu-Latn)": 54.11, "PawsXPairClassification (en)": 55.79, "PawsXPairClassification (spa-Latn)": 54.13, @@ -24975,9 +25042,8 @@ "PawsXPairClassification (jpn-Hira)": 49.02, "PawsXPairClassification (kor-Hang)": 51.01, "PawsXPairClassification (cmn-Hans)": 55.13, - "PawsXPairClassification (fr)": 56.93, - "SICK-E-PL (pol-Latn)": 68.76, "SICK-E-PL": 68.77, + "SICK-E-PL (pol-Latn)": 68.76, "SprintDuplicateQuestions": 93.02, "TERRa (rus-Cyrl)": 54.96, "TwitterSemEval2015": 72.21, @@ -24989,21 +25055,21 @@ "map": [ { "Model": "multilingual-e5-base", - "AlloprofReranking (fra-Latn)": 65.9, "AlloprofReranking": 58.1, + "AlloprofReranking (fra-Latn)": 65.9, "AskUbuntuDupQuestions": 59.28, "CMedQAv1": 65.21, "CMedQAv2": 66.06, - "MMarcoReranking (cmn-Hans)": 30.52, "MMarcoReranking": 21.76, + "MMarcoReranking (cmn-Hans)": 30.52, "MindSmallReranking": 29.28, "RuBQReranking (rus-Cyrl)": 72.01, "SciDocsRR": 81.81, "StackOverflowDupQuestions": 49.75, - "SyntecReranking (fra-Latn)": 85.31, "SyntecReranking": 85.43, - "T2Reranking (cmn-Hans)": 64.86, - "T2Reranking": 64.39 + "SyntecReranking (fra-Latn)": 85.31, + "T2Reranking": 64.39, + "T2Reranking (cmn-Hans)": 64.86 } ] }, @@ -25014,25 +25080,25 @@ "AILACasedocs": 26.05, "AILAStatutes": 20.37, "ARCChallenge": 9.61, - "AlloprofRetrieval (fra-Latn)": 34.45, "AlloprofRetrieval": 36.21, + "AlloprofRetrieval (fra-Latn)": 34.45, "AlphaNLI": 16.44, "ArguAna": 44.21, - "ArguAna-PL (pol-Latn)": 42.86, "ArguAna-PL": 42.81, - "BSARDRetrieval (fra-Latn)": 18.83, + "ArguAna-PL (pol-Latn)": 42.86, "BSARDRetrieval": 0.0, - "CmedqaRetrieval (cmn-Hans)": 27.2, + "BSARDRetrieval (fra-Latn)": 18.83, "CmedqaRetrieval": 27.2, - "CovidRetrieval (cmn-Hans)": 73.48, + "CmedqaRetrieval (cmn-Hans)": 27.2, "CovidRetrieval": 73.45, + "CovidRetrieval (cmn-Hans)": 73.48, "DBPedia-PL": 30.23, - "DuRetrieval (cmn-Hans)": 81.66, "DuRetrieval": 81.64, - "EcomRetrieval (cmn-Hans)": 54.01, + "DuRetrieval (cmn-Hans)": 81.66, "EcomRetrieval": 54.17, - "FiQA-PL (pol-Latn)": 25.59, + "EcomRetrieval (cmn-Hans)": 54.01, "FiQA-PL": 25.52, + "FiQA-PL (pol-Latn)": 25.59, "FiQA2018": 38.15, "GerDaLIRSmall (deu-Latn)": 15.3, "HellaSwag": 24.79, @@ -25048,11 +25114,12 @@ "LegalBenchCorporateLobbying": 88.97, "LegalQuAD (deu-Latn)": 47.85, "LegalSummarization": 61.69, - "MMarcoRetrieval (cmn-Hans)": 76.01, "MMarcoRetrieval": 76.04, + "MMarcoRetrieval (cmn-Hans)": 76.01, "MSMARCO-PL": 29.52, - "MedicalRetrieval (cmn-Hans)": 48.33, "MedicalRetrieval": 48.35, + "MedicalRetrieval (cmn-Hans)": 48.33, + "MintakaRetrieval (fr)": 23.46, "MintakaRetrieval (ara-Arab)": 23.06, "MintakaRetrieval (deu-Latn)": 29.8, "MintakaRetrieval (spa-Latn)": 29.88, @@ -25061,42 +25128,41 @@ "MintakaRetrieval (ita-Latn)": 29.77, "MintakaRetrieval (jpn-Hira)": 22.98, "MintakaRetrieval (por-Latn)": 30.62, - "MintakaRetrieval (fr)": 23.46, "NFCorpus": 32.49, - "NFCorpus-PL (pol-Latn)": 25.99, "NFCorpus-PL": 25.98, + "NFCorpus-PL (pol-Latn)": 25.99, "NQ-PL": 44.8, "PIQA": 25.09, "Quail": 3.52, "Quora-PL": 81.22, "RARbCode": 52.16, "RARbMath": 65.35, - "RiaNewsRetrieval (rus-Cyrl)": 70.24, "RuBQRetrieval (rus-Cyrl)": 69.58, "SCIDOCS": 17.17, - "SCIDOCS-PL (pol-Latn)": 12.36, "SCIDOCS-PL": 12.35, + "SCIDOCS-PL (pol-Latn)": 12.36, "SIQA": 3.72, "SciFact": 69.39, - "SciFact-PL (pol-Latn)": 62.26, "SciFact-PL": 62.11, + "SciFact-PL (pol-Latn)": 62.26, "SpartQA": 7.91, - "SyntecRetrieval (fra-Latn)": 82.86, "SyntecRetrieval": 80.49, - "T2Retrieval (cmn-Hans)": 70.77, + "SyntecRetrieval (fra-Latn)": 82.86, "T2Retrieval": 70.86, + "T2Retrieval (cmn-Hans)": 70.77, "TRECCOVID": 69.5, - "TRECCOVID-PL (pol-Latn)": 65.94, "TRECCOVID-PL": 66.06, + "TRECCOVID-PL (pol-Latn)": 65.94, "TempReasonL1": 0.72, "TempReasonL2Fact": 38.76, "TempReasonL2Pure": 1.63, "TempReasonL3Fact": 35.85, "TempReasonL3Pure": 7.11, "Touche2020": 21.5, - "VideoRetrieval (cmn-Hans)": 61.26, "VideoRetrieval": 61.3, + "VideoRetrieval (cmn-Hans)": 61.26, "WinoGrande": 56.18, + "XPQARetrieval (fr)": 65.81, "XPQARetrieval (ara-Arab_ara-Arab)": 39.97, "XPQARetrieval (eng-Latn_ara-Arab)": 17.23, "XPQARetrieval (ara-Arab_eng-Latn)": 34.35, @@ -25132,8 +25198,7 @@ "XPQARetrieval (tam-Taml_eng-Latn)": 26.73, "XPQARetrieval (cmn-Hans_cmn-Hans)": 67.06, "XPQARetrieval (eng-Latn_cmn-Hans)": 12.72, - "XPQARetrieval (cmn-Hans_eng-Latn)": 53.53, - "XPQARetrieval (fr)": 65.81 + "XPQARetrieval (cmn-Hans_eng-Latn)": 53.53 } ] }, @@ -25141,27 +25206,27 @@ "spearman": [ { "Model": "multilingual-e5-base", - "AFQMC (cmn-Hans)": 29.66, "AFQMC": 29.67, - "ATEC (cmn-Hans)": 37.01, + "AFQMC (cmn-Hans)": 29.66, "ATEC": 37.01, + "ATEC (cmn-Hans)": 37.01, "BIOSSES": 85.05, - "BQ (cmn-Hans)": 45.45, "BQ": 45.45, - "CDSC-R (pol-Latn)": 90.09, + "BQ (cmn-Hans)": 45.45, "CDSC-R": 90.08, - "LCQMC (cmn-Hans)": 74.15, + "CDSC-R (pol-Latn)": 90.09, "LCQMC": 74.15, - "PAWSX (cmn-Hans)": 12.13, + "LCQMC (cmn-Hans)": 74.15, "PAWSX": 12.14, + "PAWSX (cmn-Hans)": 12.13, "QBQTC": 28.81, "RUParaPhraserSTS (rus-Cyrl)": 70.17, "RuSTSBenchmarkSTS (rus-Cyrl)": 79.64, "SICK-R": 78.51, - "SICK-R-PL (pol-Latn)": 71.23, "SICK-R-PL": 71.23, - "SICKFr (fra-Latn)": 75.76, + "SICK-R-PL (pol-Latn)": 71.23, "SICKFr": 76.23, + "SICKFr (fra-Latn)": 75.76, "STS12": 76.7, "STS13": 78.02, "STS14": 76.6, @@ -25178,6 +25243,8 @@ "STS17 (ara-Arab)": 74.48, "STS17 (nld-Latn_eng-Latn)": 79.29, "STS17 (eng-Latn_deu-Latn)": 82.08, + "STS22 (zh)": 65.64, + "STS22 (pl)": 34.07, "STS22 (fra-Latn)": 75.04, "STS22 (ara-Arab)": 57.82, "STS22 (en)": 62.26, @@ -25196,11 +25263,10 @@ "STS22 (cmn-Hans)": 65.63, "STS22 (deu-Latn_pol-Latn)": 39.35, "STS22 (deu-Latn_eng-Latn)": 54.89, - "STS22 (zh)": 65.64, - "STS22 (pl)": 34.07, - "STSB (cmn-Hans)": 79.04, "STSB": 79.05, + "STSB (cmn-Hans)": 79.04, "STSBenchmark": 85.64, + "STSBenchmarkMultilingualSTS (fr)": 80.62, "STSBenchmarkMultilingualSTS (rus-Cyrl)": 79.33, "STSBenchmarkMultilingualSTS (pol-Latn)": 74.93, "STSBenchmarkMultilingualSTS (spa-Latn)": 81.75, @@ -25210,8 +25276,7 @@ "STSBenchmarkMultilingualSTS (deu-Latn)": 79.68, "STSBenchmarkMultilingualSTS (nld-Latn)": 75.96, "STSBenchmarkMultilingualSTS (por-Latn)": 67.16, - "STSBenchmarkMultilingualSTS (ita-Latn)": 78.09, - "STSBenchmarkMultilingualSTS (fr)": 80.62 + "STSBenchmarkMultilingualSTS (ita-Latn)": 78.09 } ] }, @@ -25220,8 +25285,8 @@ { "Model": "multilingual-e5-base", "SummEval": 30.23, - "SummEvalFr (fra-Latn)": 32.96, - "SummEvalFr": 30.76 + "SummEvalFr": 30.76, + "SummEvalFr (fra-Latn)": 32.96 } ] }, @@ -25232,73 +25297,5 @@ } ] } - }, - "instructor-base": { - "BitextMining": { - "f1": [ - { - "Model": "instructor-base" - } - ] - }, - "Classification": { - "accuracy": [ - { - "Model": "instructor-base" - } - ] - }, - "Clustering": { - "v_measure": [ - { - "Model": "instructor-base" - } - ] - }, - "PairClassification": { - "ap": [ - { - "Model": "instructor-base" - } - ] - }, - "Reranking": { - "map": [ - { - "Model": "instructor-base" - } - ] - }, - "Retrieval": { - "ndcg_at_10": [ - { - "Model": "instructor-base" - } - ] - }, - "STS": { - "spearman": [ - { - "Model": "instructor-base" - } - ] - }, - "Summarization": { - "spearman": [ - { - "Model": "instructor-base" - } - ] - }, - "InstructionRetrieval": { - "p-MRR": [ - { - "Model": "instructor-base", - "Core17InstructionRetrieval": -1.09, - "News21InstructionRetrieval": -1.78, - "Robust04InstructionRetrieval": -10.42 - } - ] - } } } \ No newline at end of file diff --git a/all_data_tasks/0/default.jsonl b/all_data_tasks/0/default.jsonl index 506e04a5eda6e457004b7a392112352e72e24f8e..7c0f20f059ea0b2929767e3c4617af663df7c982 100644 --- a/all_data_tasks/0/default.jsonl +++ b/all_data_tasks/0/default.jsonl @@ -1,206 +1,204 @@ -{"index":95,"Rank":1,"Model":"SFR-Embedding-2_R<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":89.05,"AmazonCounterfactualClassification (en)":92.72,"AmazonPolarityClassification":97.31,"AmazonReviewsClassification (en)":61.04,"Banking77Classification":90.02,"EmotionClassification":93.37,"ImdbClassification":96.8,"MassiveIntentClassification (en)":85.97,"MassiveScenarioClassification (en)":90.61,"MTOPDomainClassification 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+{"index":37,"Rank":10,"Model":"gte-Qwen2-7B-instruct-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.45} {"index":14,"Rank":11,"Model":"Cohere-embed-multilingual-light-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":31.4} -{"index":10,"Rank":12,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEvalFr":31.26} -{"index":38,"Rank":13,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":31.26} +{"index":44,"Rank":12,"Model":"flaubert_base_cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":31.26} +{"index":10,"Rank":13,"Model":"bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"SummEvalFr":31.26} {"index":15,"Rank":14,"Model":"Cohere-embed-multilingual-v3.0<\/a>","Model Size 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-{"index":8,"Rank":21,"Model":"gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"SummEvalFr":30.5} -{"index":55,"Rank":22,"Model":"gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.5} -{"index":71,"Rank":23,"Model":"sentence-t5-xxl<\/a>","Model Size (Million Parameters)":4865,"Memory Usage (GB, fp32)":18.12,"SummEvalFr":30.39} -{"index":3,"Rank":24,"Model":"voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":30.34} -{"index":22,"Rank":25,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":30.3} -{"index":51,"Rank":26,"Model":"sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"SummEvalFr":30.28} -{"index":52,"Rank":27,"Model":"sentence_croissant_alpha_v0.2<\/a>","Model Size (Million 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-{"index":4,"Rank":34,"Model":"voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.96} -{"index":29,"Rank":35,"Model":"Solon-embeddings-large-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":29.69} -{"index":79,"Rank":36,"Model":"bilingual-embedding-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.65} -{"index":48,"Rank":37,"Model":"udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":29.48} -{"index":67,"Rank":38,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"SummEvalFr":29.47} -{"index":39,"Rank":39,"Model":"flaubert_base_uncased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":29.43} -{"index":74,"Rank":40,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million 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-{"index":78,"Rank":47,"Model":"xlm-roberta-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"SummEvalFr":28.89} -{"index":18,"Rank":48,"Model":"bert-base-25lang-cased<\/a>","Model Size (Million Parameters)":138,"Memory Usage (GB, fp32)":0.51,"SummEvalFr":28.84} -{"index":41,"Rank":49,"Model":"bert-base-multilingual-cased<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"SummEvalFr":28.81} -{"index":35,"Rank":50,"Model":"sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"SummEvalFr":28.77} -{"index":7,"Rank":51,"Model":"llm2vec-occiglot-mntp<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.72} -{"index":76,"Rank":52,"Model":"universal-sentence-encoder-multilingual-large-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":28.56} -{"index":2,"Rank":53,"Model":"voyage-code-2<\/a>","Model Size (Million 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(Million Parameters)":135,"Memory Usage (GB, fp32)":0.5,"SummEvalFr":28.12} +{"index":70,"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":55,"Rank":57,"Model":"udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","SummEvalFr":23.63} diff --git a/all_data_tasks/23/default.jsonl b/all_data_tasks/23/default.jsonl index be75ed721bdc4a01875e11e2c442b20d928b6e0a..52ddc42af83181bd77c3abfb596add3cddabda9f 100644 --- a/all_data_tasks/23/default.jsonl +++ b/all_data_tasks/23/default.jsonl @@ -1,47 +1,48 @@ {"index":13,"Rank":1,"Model":"nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"Average":66.73,"MassiveIntentClassification (nb)":62.68,"MassiveScenarioClassification (nb)":67.44,"NoRecClassification":55.46,"NordicLangClassification":85.27,"NorwegianParliament":62.58,"ScalaNbClassification":66.97} {"index":12,"Rank":2,"Model":"nb-bert-base<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":63.94,"MassiveIntentClassification (nb)":60.67,"MassiveScenarioClassification (nb)":67.31,"NoRecClassification":51.32,"NordicLangClassification":84.69,"NorwegianParliament":57.41,"ScalaNbClassification":62.25} -{"index":24,"Rank":3,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":63.64,"MassiveIntentClassification (nb)":59.83,"MassiveScenarioClassification (nb)":66.18,"NoRecClassification":62.76,"NordicLangClassification":82.29,"NorwegianParliament":60.36,"ScalaNbClassification":50.44} -{"index":30,"Rank":4,"Model":"norbert3-base<\/a>","Model Size (Million Parameters)":131,"Memory Usage (GB, fp32)":0.49,"Average":61.75,"MassiveIntentClassification (nb)":54.2,"MassiveScenarioClassification 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(nb)":46.79,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":31,"Rank":35,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":"","MassiveIntentClassification (nb)":57.91,"MassiveScenarioClassification (nb)":64.29,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":32,"Rank":36,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":"","MassiveIntentClassification (nb)":41.91,"MassiveScenarioClassification (nb)":47.36,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":34,"Rank":37,"Model":"all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification 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(nb)":52.71,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":38,"Rank":41,"Model":"gtr-t5-xl<\/a>","Model Size (Million Parameters)":1240,"Memory Usage (GB, fp32)":4.62,"Average":"","MassiveIntentClassification (nb)":45.87,"MassiveScenarioClassification (nb)":54.44,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":39,"Rank":42,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":"","MassiveIntentClassification (nb)":"","MassiveScenarioClassification (nb)":"","NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":40,"Rank":43,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":"","MassiveIntentClassification 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(nb)":45.91,"MassiveScenarioClassification (nb)":53.43,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":44,"Rank":47,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","MassiveIntentClassification (nb)":31.49,"MassiveScenarioClassification (nb)":38.05,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} +{"index":45,"Rank":48,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":"","MassiveIntentClassification (nb)":54.64,"MassiveScenarioClassification (nb)":60.26,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""} diff --git a/all_data_tasks/24/default.jsonl b/all_data_tasks/24/default.jsonl index fb7dfe5e3172f53849b302706f2add0f6315f1a1..65866e767e2f5be3985e2e532f00f237fe5f85ff 100644 --- a/all_data_tasks/24/default.jsonl +++ b/all_data_tasks/24/default.jsonl @@ -1,21 +1,21 @@ -{"Rank":1,"Model":"FollowIR-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":12.15,"Core17InstructionRetrieval":16.48,"News21InstructionRetrieval":6.26,"Robust04InstructionRetrieval":13.72} -{"Rank":2,"Model":"mistral-7b-instruct-v0.2<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":10.15,"Core17InstructionRetrieval":13.03,"News21InstructionRetrieval":4.81,"Robust04InstructionRetrieval":12.61} -{"Rank":3,"Model":"flan-t5-large<\/a>","Model Size (Million Parameters)":770,"Memory Usage (GB, fp32)":2.87,"Average":4.72,"Core17InstructionRetrieval":1.32,"News21InstructionRetrieval":8.95,"Robust04InstructionRetrieval":3.9} -{"Rank":4,"Model":"monot5-3b-msmarco-10k<\/a>","Model Size (Million Parameters)":2480,"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} diff --git a/all_data_tasks/25/default.jsonl b/all_data_tasks/25/default.jsonl index bd66aa09c8b0ef35c1e70e5ecbe36f72069a99d6..f45315a5205a9df008d3948bd4ab0ca8334c4171 100644 --- a/all_data_tasks/25/default.jsonl +++ b/all_data_tasks/25/default.jsonl @@ -1,11 +1,17 @@ {"index":1,"Rank":1,"Model":"voyage-law-2<\/a>","Model Size (Million 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+{"index":16,"Rank":3,"Model":"text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":59.22,"AILACasedocs":39.0,"AILAStatutes":41.31,"GerDaLIRSmall":32.77,"LeCaRDv2":57.2,"LegalBenchConsumerContractsQA":79.39,"LegalBenchCorporateLobbying":95.09,"LegalQuAD":57.47,"LegalSummarization":71.55} {"index":0,"Rank":4,"Model":"mistral-embed<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":56.43,"AILACasedocs":38.2,"AILAStatutes":44.81,"GerDaLIRSmall":17.85,"LeCaRDv2":61.12,"LegalBenchConsumerContractsQA":80.8,"LegalBenchCorporateLobbying":94.11,"LegalQuAD":47.17,"LegalSummarization":67.39} {"index":3,"Rank":5,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, 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(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} 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+{"index":83,"Rank":56,"Model":"xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"Average":3.2,"AlloprofRetrieval":0.16,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.88,"SyntecRetrieval":3.33,"XPQARetrieval (fr)":11.65} +{"index":46,"Rank":57,"Model":"flaubert_large_cased<\/a>","Model Size (Million Parameters)":372,"Memory Usage (GB, fp32)":1.39,"Average":1.22,"AlloprofRetrieval":0.58,"BSARDRetrieval":0.0,"MintakaRetrieval (fr)":0.26,"SyntecRetrieval":1.58,"XPQARetrieval (fr)":3.69} +{"index":62,"Rank":79,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":"","AlloprofRetrieval":33.2,"BSARDRetrieval":"","MintakaRetrieval (fr)":"","SyntecRetrieval":"","XPQARetrieval (fr)":55.9} diff --git a/boards_data/fr/data_tasks/STS/default.jsonl b/boards_data/fr/data_tasks/STS/default.jsonl index 58e02ddcb7fae957b142ff182eb170b86edc0009..08e472c5f97150af9564fcbdfac7f3cafc780549 100644 --- a/boards_data/fr/data_tasks/STS/default.jsonl +++ b/boards_data/fr/data_tasks/STS/default.jsonl @@ -1,73 +1,72 @@ -{"index":22,"Rank":1,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2} -{"index":23,"Rank":2,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Average":83.08,"STS22 (fr)":82.84,"STSBenchmarkMultilingualSTS (fr)":86.59,"SICKFr":79.81} +{"index":25,"Rank":1,"Model":"bilingual-embedding-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":83.62,"STS22 (fr)":84.64,"STSBenchmarkMultilingualSTS (fr)":87.02,"SICKFr":79.2} +{"index":26,"Rank":2,"Model":"bilingual-embedding-large-8k<\/a>","Model Size (Million Parameters)":568,"Memory Usage (GB, fp32)":2.12,"Average":83.08,"STS22 (fr)":82.84,"STSBenchmarkMultilingualSTS 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Usage (GB, fp32)":26.49,"Average":59.98,"GeoreviewClusteringP2P (rus-Cyrl)":65.68,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":61.55,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":52.72} -{"Rank":3,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":53.61,"GeoreviewClusteringP2P (rus-Cyrl)":62.79,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":53.11,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.93} -{"Rank":4,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":53.42,"GeoreviewClusteringP2P (rus-Cyrl)":64.16,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.38,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.73} -{"Rank":5,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":53.22,"GeoreviewClusteringP2P (rus-Cyrl)":64.55,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":50.64,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.48} -{"Rank":6,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":52.65,"GeoreviewClusteringP2P (rus-Cyrl)":58.45,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":52.2,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":47.29} -{"Rank":7,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":52.55,"GeoreviewClusteringP2P (rus-Cyrl)":60.51,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":52.03,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":45.11} -{"Rank":8,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":52.51,"GeoreviewClusteringP2P (rus-Cyrl)":63.75,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":50.57,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":43.21} -{"Rank":9,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":51.94,"GeoreviewClusteringP2P (rus-Cyrl)":59.02,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":50.4,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":46.41} -{"Rank":10,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":51.65,"GeoreviewClusteringP2P (rus-Cyrl)":58.57,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.1,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":45.29} -{"Rank":11,"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} -{"Rank":12,"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} -{"Rank":13,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, 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-{"Rank":17,"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} -{"Rank":18,"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} -{"Rank":19,"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} -{"Rank":20,"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} -{"Rank":21,"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} -{"Rank":22,"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} -{"Rank":23,"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} -{"Rank":24,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory 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+{"index":11,"Rank":3,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"Average":53.61,"GeoreviewClusteringP2P (rus-Cyrl)":62.79,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":53.11,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.93} +{"index":10,"Rank":4,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":53.42,"GeoreviewClusteringP2P (rus-Cyrl)":64.16,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.38,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.73} +{"index":23,"Rank":5,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"Average":53.22,"GeoreviewClusteringP2P (rus-Cyrl)":64.55,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":50.64,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":44.48} +{"index":5,"Rank":6,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":52.65,"GeoreviewClusteringP2P (rus-Cyrl)":58.45,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":52.2,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":47.29} +{"index":15,"Rank":7,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":52.55,"GeoreviewClusteringP2P (rus-Cyrl)":60.51,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":52.03,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":45.11} +{"index":0,"Rank":8,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"Average":52.51,"GeoreviewClusteringP2P (rus-Cyrl)":63.75,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":50.57,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":43.21} +{"index":6,"Rank":9,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":51.94,"GeoreviewClusteringP2P (rus-Cyrl)":59.02,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":50.4,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":46.41} +{"index":16,"Rank":10,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":51.65,"GeoreviewClusteringP2P (rus-Cyrl)":58.57,"RuSciBenchGRNTIClusteringP2P (rus-Cyrl)":51.1,"RuSciBenchOECDClusteringP2P (rus-Cyrl)":45.29} +{"index":14,"Rank":11,"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":24,"Rank":12,"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":22,"Rank":13,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, 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(rus-Cyrl)":41.16} +{"index":3,"Rank":17,"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":18,"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":19,"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":20,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, 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+{"index":18,"Rank":24,"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":19,"Rank":25,"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 5f9799c41b32368435c181e147cc8d104986e655..f57357065d1c24c21f29c80e29b3851e7e04860f 100644 --- a/boards_data/ru/data_tasks/PairClassification/default.jsonl +++ b/boards_data/ru/data_tasks/PairClassification/default.jsonl @@ -1,25 +1,25 @@ -{"Rank":1,"Model":"USER-bge-m3<\/a>","Model Size (Million Parameters)":359,"Memory Usage (GB, fp32)":1.34,"TERRa (rus-Cyrl)":64.99} -{"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} -{"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"TERRa (rus-Cyrl)":60.6} -{"Rank":4,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"TERRa (rus-Cyrl)":60.02} -{"Rank":5,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"TERRa (rus-Cyrl)":59.39} -{"Rank":6,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"TERRa (rus-Cyrl)":59.38} -{"Rank":7,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":59.12} -{"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} -{"Rank":9,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"TERRa (rus-Cyrl)":58.4} -{"Rank":10,"Model":"LaBSE-ru-turbo<\/a>","Model Size (Million Parameters)":128,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":57.81} -{"Rank":11,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":56.09} -{"Rank":12,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"TERRa (rus-Cyrl)":55.71} -{"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"TERRa (rus-Cyrl)":55.61} -{"Rank":14,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"TERRa (rus-Cyrl)":55.14} -{"Rank":15,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"TERRa (rus-Cyrl)":54.96} -{"Rank":16,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"TERRa (rus-Cyrl)":53.78} -{"Rank":17,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"TERRa (rus-Cyrl)":52.48} -{"Rank":18,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"TERRa (rus-Cyrl)":52.12} -{"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} -{"Rank":20,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"TERRa (rus-Cyrl)":51.87} -{"Rank":21,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"TERRa (rus-Cyrl)":51.06} -{"Rank":22,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"TERRa (rus-Cyrl)":50.17} -{"Rank":23,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"TERRa (rus-Cyrl)":46.4} -{"Rank":24,"Model":"all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"TERRa (rus-Cyrl)":45.03} -{"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":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":0,"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":567,"Memory Usage (GB, fp32)":2.11,"TERRa (rus-Cyrl)":60.6} +{"index":10,"Rank":4,"Model":"USER-base<\/a>","Model Size (Million 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(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} diff --git a/boards_data/ru/data_tasks/Reranking/default.jsonl b/boards_data/ru/data_tasks/Reranking/default.jsonl index 14e74d4f7124aa81c3b912bd0d4e8ab325e295c6..a13680a1544cbea89ae4e7364368dbb4f144a64b 100644 --- a/boards_data/ru/data_tasks/Reranking/default.jsonl +++ b/boards_data/ru/data_tasks/Reranking/default.jsonl @@ -1,25 +1,25 @@ -{"Rank":1,"Model":"multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"RuBQReranking (rus-Cyrl)":75.58} -{"Rank":2,"Model":"e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"RuBQReranking (rus-Cyrl)":74.61} -{"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million 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(rus-Cyrl)":46.81} -{"Rank":17,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"RuBQReranking (rus-Cyrl)":46.09} -{"Rank":18,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"RuBQReranking (rus-Cyrl)":42.58} -{"Rank":19,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"RuBQReranking (rus-Cyrl)":41.65} -{"Rank":20,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"RuBQReranking (rus-Cyrl)":39.89} -{"Rank":21,"Model":"all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"RuBQReranking (rus-Cyrl)":38.51} -{"Rank":22,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"RuBQReranking (rus-Cyrl)":35.44} -{"Rank":23,"Model":"deberta-v1-base<\/a>","Model Size (Million 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+{"index":4,"Rank":5,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"RuBQReranking (rus-Cyrl)":72.41} +{"index":14,"Rank":6,"Model":"multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"RuBQReranking (rus-Cyrl)":72.01} +{"index":16,"Rank":7,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"RuBQReranking (rus-Cyrl)":71.46} +{"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} diff --git a/boards_data/ru/data_tasks/Retrieval/default.jsonl b/boards_data/ru/data_tasks/Retrieval/default.jsonl index 207b67271d54bf33997ed890c17031aa35b516cb..ff2d9994beaff05385e7b2f971314548b735ace4 100644 --- a/boards_data/ru/data_tasks/Retrieval/default.jsonl +++ b/boards_data/ru/data_tasks/Retrieval/default.jsonl @@ -1,25 +1,25 @@ -{"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} -{"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} -{"Rank":3,"Model":"bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":77.1,"RiaNewsRetrieval (rus-Cyrl)":82.98,"RuBQRetrieval (rus-Cyrl)":71.21} -{"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} -{"Rank":5,"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} -{"Rank":6,"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} -{"Rank":7,"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} -{"Rank":8,"Model":"USER-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":67.34,"RiaNewsRetrieval (rus-Cyrl)":77.83,"RuBQRetrieval (rus-Cyrl)":56.86} -{"Rank":9,"Model":"rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":51.5,"RiaNewsRetrieval (rus-Cyrl)":51.27,"RuBQRetrieval (rus-Cyrl)":51.73} -{"Rank":10,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":44.4,"RiaNewsRetrieval (rus-Cyrl)":51.75,"RuBQRetrieval (rus-Cyrl)":37.04} -{"Rank":11,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":37.26,"RiaNewsRetrieval 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(rus-Cyrl)":11.11,"RuBQRetrieval (rus-Cyrl)":12.45} -{"Rank":17,"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} -{"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} -{"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} -{"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} -{"Rank":21,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, 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(rus-Cyrl)":29.7} +{"index":17,"Rank":11,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":36.38,"RiaNewsRetrieval (rus-Cyrl)":42.75,"RuBQRetrieval (rus-Cyrl)":30.02} +{"index":7,"Rank":12,"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":13,"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":14,"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":15,"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":16,"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":17,"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":18,"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":19,"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":20,"Model":"rubert-tiny<\/a>","Model Size (Million 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+{"index":20,"Rank":25,"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 d65bb348a98b52f6c0ee3f05ee08e5797e02f1a0..99047b097fd38eb2341d68b762af2a2446f4f515 100644 --- a/boards_data/ru/data_tasks/STS/default.jsonl +++ b/boards_data/ru/data_tasks/STS/default.jsonl @@ -1,25 +1,25 @@ -{"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} -{"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} -{"Rank":3,"Model":"USER-base<\/a>","Model Size (Million 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(Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":74.9,"RUParaPhraserSTS (rus-Cyrl)":70.17,"RuSTSBenchmarkSTS (rus-Cyrl)":79.64} -{"Rank":9,"Model":"multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":74.27,"RUParaPhraserSTS (rus-Cyrl)":70.46,"RuSTSBenchmarkSTS (rus-Cyrl)":78.08} -{"Rank":10,"Model":"paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":74.1,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":82.46} -{"Rank":11,"Model":"GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":73.67,"RUParaPhraserSTS (rus-Cyrl)":71.08,"RuSTSBenchmarkSTS (rus-Cyrl)":76.26} -{"Rank":12,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":70.71,"RUParaPhraserSTS (rus-Cyrl)":61.87,"RuSTSBenchmarkSTS (rus-Cyrl)":79.55} -{"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":69.6,"RUParaPhraserSTS (rus-Cyrl)":65.87,"RuSTSBenchmarkSTS (rus-Cyrl)":73.32} -{"Rank":14,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":69.54,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":73.34} -{"Rank":15,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":68.19,"RUParaPhraserSTS (rus-Cyrl)":65.17,"RuSTSBenchmarkSTS (rus-Cyrl)":71.22} -{"Rank":16,"Model":"rubert-tiny2<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":67.28,"RUParaPhraserSTS (rus-Cyrl)":65.14,"RuSTSBenchmarkSTS (rus-Cyrl)":69.43} -{"Rank":17,"Model":"rubert-base-cased-sentence<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":66.13,"RUParaPhraserSTS (rus-Cyrl)":66.24,"RuSTSBenchmarkSTS (rus-Cyrl)":66.03} -{"Rank":18,"Model":"sbert_large_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":60.44,"RUParaPhraserSTS (rus-Cyrl)":62.06,"RuSTSBenchmarkSTS (rus-Cyrl)":58.82} -{"Rank":19,"Model":"distilrubert-small-cased-conversational<\/a>","Model Size (Million Parameters)":106,"Memory Usage (GB, fp32)":0.39,"Average":58.36,"RUParaPhraserSTS (rus-Cyrl)":55.01,"RuSTSBenchmarkSTS (rus-Cyrl)":61.72} -{"Rank":20,"Model":"deberta-v1-base<\/a>","Model Size (Million Parameters)":124,"Memory Usage (GB, fp32)":0.46,"Average":56.25,"RUParaPhraserSTS (rus-Cyrl)":54.03,"RuSTSBenchmarkSTS (rus-Cyrl)":58.47} -{"Rank":21,"Model":"rubert-tiny<\/a>","Model Size (Million Parameters)":12,"Memory Usage (GB, fp32)":0.04,"Average":55.78,"RUParaPhraserSTS (rus-Cyrl)":53.41,"RuSTSBenchmarkSTS (rus-Cyrl)":58.16} -{"Rank":22,"Model":"rubert-base-cased<\/a>","Model Size (Million Parameters)":180,"Memory Usage (GB, fp32)":0.67,"Average":51.84,"RUParaPhraserSTS 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(rus-Cyrl)":71.08,"RuSTSBenchmarkSTS (rus-Cyrl)":76.26} +{"index":21,"Rank":12,"Model":"paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":70.71,"RUParaPhraserSTS (rus-Cyrl)":61.87,"RuSTSBenchmarkSTS (rus-Cyrl)":79.55} +{"index":7,"Rank":13,"Model":"LaBSE-en-ru<\/a>","Model Size (Million Parameters)":129,"Memory Usage (GB, fp32)":0.48,"Average":69.6,"RUParaPhraserSTS (rus-Cyrl)":65.87,"RuSTSBenchmarkSTS (rus-Cyrl)":73.32} +{"index":17,"Rank":14,"Model":"LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":69.54,"RUParaPhraserSTS (rus-Cyrl)":65.74,"RuSTSBenchmarkSTS (rus-Cyrl)":73.34} +{"index":5,"Rank":15,"Model":"sbert_large_mt_nlu_ru<\/a>","Model Size (Million Parameters)":427,"Memory Usage (GB, fp32)":1.59,"Average":68.19,"RUParaPhraserSTS (rus-Cyrl)":65.17,"RuSTSBenchmarkSTS (rus-Cyrl)":71.22} +{"index":9,"Rank":16,"Model":"rubert-tiny2<\/a>","Model Size (Million 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fp32)":0.11,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":32.83,"STSB":""} +{"index":282,"Rank":292,"Model":"text2vec-base-multilingual<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":"","AFQMC":"","ATEC":"","BQ":"","LCQMC":"","PAWSX":"","QBQTC":"","STS22 (zh)":63.24,"STSB":""} diff --git a/config.yaml b/config.yaml index 863cde6fff58d043b0653c654c04fddcdc38b6f8..f69b40fd9611ad195ae019dfd403510c1aab120c 100644 --- a/config.yaml +++ b/config.yaml @@ -375,27 +375,27 @@ boards: credits: "[Roman Solomatin](https://github.com/Samoed) and SaluteDevices: [Alena Fenogenova](https://github.com/Alenush), [Aleksandr Abramov](https://github.com/Ab1992ao), [Artem Snegirev](https://github.com/artemsnegirev), [Anna Maksimova](https://github.com/anpalmak2003), [Maria Tikhonova](https://github.com/MariyaTikhonova)" tasks: Classification: - - GeoreviewClassification - - HeadlineClassification - - InappropriatenessClassification - - KinopoiskClassification - - RuReviewsClassification - - RuSciBenchGRNTIClassification - - RuSciBenchOECDClassification + - GeoreviewClassification (rus-Cyrl) + - HeadlineClassification (rus-Cyrl) + - InappropriatenessClassification (rus-Cyrl) + - KinopoiskClassification (rus-Cyrl) + - RuReviewsClassification (rus-Cyrl) + - RuSciBenchGRNTIClassification (rus-Cyrl) + - RuSciBenchOECDClassification (rus-Cyrl) Clustering: - - GeoreviewClusteringP2P - - RuSciBenchGRNTIClusteringP2P - - RuSciBenchOECDClusteringP2P + - GeoreviewClusteringP2P (rus-Cyrl) + - RuSciBenchGRNTIClusteringP2P (rus-Cyrl) + - RuSciBenchOECDClusteringP2P (rus-Cyrl) PairClassification: - - TERRa + - TERRa (rus-Cyrl) Reranking: - - RuBQReranking + - RuBQReranking (rus-Cyrl) Retrieval: - - RiaNewsRetrieval - - RuBQRetrieval + - RiaNewsRetrieval (rus-Cyrl) + - RuBQRetrieval (rus-Cyrl) STS: - - RUParaPhraserSTS - - RuSTSBenchmarkSTS + - RUParaPhraserSTS (rus-Cyrl) + - RuSTSBenchmarkSTS (rus-Cyrl) se: title: Swedish language_long: Swedish diff --git a/refresh.py b/refresh.py index a13d2725bd185768a048942ee3e0a43ea7f6e53b..aaf5972b2e09abfcfa18edd16b2fba3c67a5df85 100644 --- a/refresh.py +++ b/refresh.py @@ -137,8 +137,8 @@ def add_lang(examples): return examples -def norm(names: list[str]) -> list[str]: - return list(set([name.split(" ")[0] for name in names])) +def norm(names: list[str]) -> set[str]: + return set([name.split()[0] for name in names]) def add_task(examples): @@ -508,7 +508,7 @@ def get_mteb_data( df.drop(columns=["PawsX (fr)"], inplace=True) # Filter invalid columns - cols = [col for col in cols if col in base_columns + datasets or any([col.split()[0] == d for d in datasets])] + cols = [col for col in cols if col in base_columns + datasets] i = 0 for column in base_columns: if column in cols: @@ -522,20 +522,6 @@ def get_mteb_data( return df -def find_tasks(df_columns: list[str], tasks: list[str]) -> list[str]: - """ - Some tasks have langs, but original tasks doesn't have languages, This function will find task -> Task (lang) - """ - used_columns = [] - for task in tasks: - for col_name in df_columns: - # some french datasets already have lang in their name - # if use starts with instead of split there can be duplicates - if col_name.split()[0] == task or col_name == task: - used_columns.append(col_name) - return used_columns - - # Get dict with a task list for each task category # E.g. {"Classification": ["AmazonMassiveIntentClassification (en)", ...], "PairClassification": ["SprintDuplicateQuestions", ...]} def get_mteb_average(task_dict: dict) -> tuple[Any, dict]: @@ -552,14 +538,14 @@ def get_mteb_average(task_dict: dict) -> tuple[Any, dict]: DATA_OVERALL.insert( 1, f"Average ({len(all_tasks)} datasets)", - DATA_OVERALL[find_tasks(DATA_OVERALL.columns, all_tasks)].mean(axis=1, skipna=False), + DATA_OVERALL[all_tasks].mean(axis=1, skipna=False), ) for i, (task_category, task_category_list) in enumerate(task_dict.items()): DATA_OVERALL.insert( i + 2, f"{task_category} Average ({len(task_category_list)} datasets)", - DATA_OVERALL[find_tasks(DATA_OVERALL.columns, task_category_list)].mean(axis=1, skipna=False), + DATA_OVERALL[task_category_list].mean(axis=1, skipna=False), ) DATA_OVERALL.sort_values( f"Average ({len(all_tasks)} datasets)", ascending=False, inplace=True @@ -573,8 +559,7 @@ def get_mteb_average(task_dict: dict) -> tuple[Any, dict]: for task_category, task_category_list in task_dict.items(): DATA_TASKS[task_category] = add_rank( DATA_OVERALL[ - ["Model", "Model Size (Million Parameters)", "Memory Usage (GB, fp32)"] - + find_tasks(DATA_OVERALL.columns, task_category_list) + ["Model", "Model Size (Million Parameters)", "Memory Usage (GB, fp32)"] + task_category_list ] ) DATA_TASKS[task_category] = DATA_TASKS[task_category][