fix model config names

EXTERNAL_MODEL_RESULTS.json

@@ -24553,13 +24553,81 @@
             ]
         }
     },
+    "instructor-base": {
+        "BitextMining": {
+            "f1": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "Classification": {
+            "accuracy": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "Clustering": {
+            "v_measure": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "PairClassification": {
+            "ap": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "Reranking": {
+            "map": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "Retrieval": {
+            "ndcg_at_10": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "STS": {
+            "spearman": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "Summarization": {
+            "spearman": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
+                }
+            ]
+        },
+        "InstructionRetrieval": {
+            "p-MRR": [
+                {
+                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>",
+                    "Core17InstructionRetrieval": -1.09,
+                    "News21InstructionRetrieval": -1.78,
+                    "Robust04InstructionRetrieval": -10.42
+                }
+            ]
+        }
+    },
     "multilingual-e5-base": {
         "BitextMining": {
             "f1": [
                 {
                     "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/intfloat/multilingual-e5-base\">multilingual-e5-base</a>",
-                    "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": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/intfloat/multilingual-e5-base\">multilingual-e5-base</a>",
-                    "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": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/intfloat/multilingual-e5-base\">multilingual-e5-base</a>",
-                    "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": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/intfloat/multilingual-e5-base\">multilingual-e5-base</a>",
-                    "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": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/intfloat/multilingual-e5-base\">multilingual-e5-base</a>",
-                    "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": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/intfloat/multilingual-e5-base\">multilingual-e5-base</a>",
                     "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": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "Classification": {
-            "accuracy": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "Clustering": {
-            "v_measure": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "PairClassification": {
-            "ap": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "Reranking": {
-            "map": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "Retrieval": {
-            "ndcg_at_10": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "STS": {
-            "spearman": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "Summarization": {
-            "spearman": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>"
-                }
-            ]
-        },
-        "InstructionRetrieval": {
-            "p-MRR": [
-                {
-                    "Model": "<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https://huggingface.co/hkunlp/instructor-base\">instructor-base</a>",
-                    "Core17InstructionRetrieval": -1.09,
-                    "News21InstructionRetrieval": -1.78,
-                    "Robust04InstructionRetrieval": -10.42
-                }
-            ]
-        }
     }
 }

all_data_tasks/10/default.jsonl

@@ -1,64 +1,63 @@
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-{"index":248,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh-v2\">piccolo-large-zh-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":90.24,"Cmnli":92.64,"Ocnli":87.84}
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 {"index":47,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Average":87.57,"Cmnli":90.29,"Ocnli":84.85}
-{"index":139,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/brtaydin\/gte-Qwen2-7B-instruct-Q5_K_M-GGUF\">gte-Qwen2-7B-instruct-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":87.48,"Cmnli":90.18,"Ocnli":84.78}
+{"index":143,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/brtaydin\/gte-Qwen2-7B-instruct-Q5_K_M-GGUF\">gte-Qwen2-7B-instruct-Q5_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":87.48,"Cmnli":90.18,"Ocnli":84.78}
 {"index":17,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":87.48,"Cmnli":90.18,"Ocnli":84.78}
-{"index":271,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shhy1995\/AGE_Hybrid\">AGE_Hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":87.08,"Cmnli":89.42,"Ocnli":84.74}
+{"index":280,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shhy1995\/AGE_Hybrid\">AGE_Hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":87.08,"Cmnli":89.42,"Ocnli":84.74}
 {"index":16,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":86.91,"Cmnli":86.22,"Ocnli":87.6}
-{"index":229,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/niancheng\/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF\">gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":86.91,"Cmnli":86.22,"Ocnli":87.6}
-{"index":29,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":86.67,"Cmnli":90.13,"Ocnli":83.21}
-{"index":203,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/lier007\/xiaobu-embedding\">xiaobu-embedding<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":85.3,"Cmnli":89.95,"Ocnli":80.64}
-{"index":281,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-large-zh\">gte-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.41,"Cmnli":89.5,"Ocnli":79.32}
-{"index":105,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Pristinenlp\/alime-embedding-large-zh\">alime-embedding-large-zh<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":84.34,"Cmnli":89.36,"Ocnli":79.31}
-{"index":196,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
-{"index":275,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/silverjam\/jina-embeddings-v2-base-zh\">jina-embeddings-v2-base-zh<\/a>","Model Size (Million Parameters)":161,"Memory Usage (GB, fp32)":0.6,"Average":82.94,"Cmnli":85.27,"Ocnli":80.62}
-{"index":172,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh-v2\">stella-large-zh-v2<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.51}
-{"index":20,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao\">tao<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
-{"index":21,"Rank":27,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Amu\/tao-8k\">tao-8k<\/a>","Model Size (Million Parameters)":167,"Memory Usage (GB, fp32)":0.62,"Average":82.68,"Cmnli":86.85,"Ocnli":78.5}
-{"index":41,"Rank":28,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/windberta-large\">windberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.55,"Ocnli":77.21}
-{"index":40,"Rank":29,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-large\">winberta-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.38,"Cmnli":87.3,"Ocnli":77.46}
-{"index":311,"Rank":30,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/platform.baichuan-ai.com\/docs\/text-Embedding\">Baichuan-text-embedding<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":82.32,"Cmnli":85.31,"Ocnli":79.33}
-{"index":27,"Rank":31,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-v1.5\">bge-large-zh-v1.5<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":81.6,"Cmnli":85.27,"Ocnli":77.94}
-{"index":48,"Rank":32,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":81.46,"Cmnli":85.92,"Ocnli":77.01}
-{"index":49,"Rank":33,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":80.9,"Cmnli":86.7,"Ocnli":75.1}
-{"index":279,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thenlper\/gte-base-zh\">gte-base-zh<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":80.44,"Cmnli":85.6,"Ocnli":75.28}
-{"index":51,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Erin\/mist-zh\">mist-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":80.01,"Cmnli":84.76,"Ocnli":75.26}
-{"index":169,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh-v2\">stella-base-zh-v2<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":79.96,"Cmnli":84.75,"Ocnli":75.16}
-{"index":23,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-base-zh-v1.5\">bge-base-zh-v1.5<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":79.76,"Cmnli":84.1,"Ocnli":75.41}
-{"index":39,"Rank":38,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ClayAtlas\/winberta-base\">winberta-base<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":78.77,"Cmnli":84.1,"Ocnli":73.44}
-{"index":171,"Rank":39,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-large-zh\">stella-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":78.72,"Cmnli":85.14,"Ocnli":72.29}
-{"index":188,"Rank":40,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">udever-bloom-7b1<\/a>","Model Size (Million Parameters)":7069,"Memory Usage (GB, fp32)":26.33,"Average":78.65,"Cmnli":85.14,"Ocnli":72.15}
-{"index":247,"Rank":41,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-large-zh\">piccolo-large-zh<\/a>","Model Size (Million Parameters)":163,"Memory Usage (GB, fp32)":0.61,"Average":78.38,"Cmnli":83.83,"Ocnli":72.92}
-{"index":26,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-zh-noinstruct\">bge-large-zh-noinstruct<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":76.77,"Cmnli":82.17,"Ocnli":71.37}
-{"index":246,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sensenova\/piccolo-base-zh\">piccolo-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":76.61,"Cmnli":82.33,"Ocnli":70.89}
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all_data_tasks/11/default.jsonl

@@ -1,77 +1,76 @@
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 {"index":38,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Average":69.78,"CMedQAv1":89.26,"CMedQAv2":90.05,"MMarcoReranking":32.74,"T2Reranking":67.05}
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 {"index":17,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":68.92,"CMedQAv1":88.2,"CMedQAv2":88.03,"MMarcoReranking":31.65,"T2Reranking":67.8}
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 {"index":29,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":68.28,"CMedQAv1":84.62,"CMedQAv2":85.6,"MMarcoReranking":35.43,"T2Reranking":67.48}
 {"index":12,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":68.27,"CMedQAv1":88.99,"CMedQAv2":89.6,"MMarcoReranking":28.12,"T2Reranking":66.38}
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all_data_tasks/12/default.jsonl

@@ -1,70 +1,69 @@
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all_data_tasks/13/default.jsonl

@@ -1,85 +1,84 @@
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 {"index":17,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":65.33,"AFQMC":72.25,"ATEC":62.62,"BQ":81.25,"LCQMC":73.81,"PAWSX":54.06,"QBQTC":31.37,"STS22 (zh)":66.13,"STSB":81.17}
 {"index":46,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh\">Dmeta-embedding-zh<\/a>","Model Size (Million Parameters)":103,"Memory Usage (GB, fp32)":0.38,"Average":64.89,"AFQMC":71.13,"ATEC":64.64,"BQ":72.3,"LCQMC":78.76,"PAWSX":45.05,"QBQTC":42.62,"STS22 (zh)":63.84,"STSB":80.77}
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 {"index":47,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/Dmeta-embedding-zh-small\">Dmeta-embedding-zh-small<\/a>","Model Size (Million Parameters)":74,"Memory Usage (GB, fp32)":0.28,"Average":62.13,"AFQMC":59.54,"ATEC":58.63,"BQ":70.31,"LCQMC":78.73,"PAWSX":42.97,"QBQTC":41.03,"STS22 (zh)":66.76,"STSB":79.09}
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all_data_tasks/14/default.jsonl

@@ -1,24 +1,26 @@
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 {"index":1,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Jechto\/e5-dansk-test-0.1\">e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"BornholmBitextMining":37.97}
 {"index":20,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"BornholmBitextMining":29.68}
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all_data_tasks/15/default.jsonl

@@ -1,47 +1,48 @@
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all_data_tasks/16/default.jsonl

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 {"index":10,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":81.62,"AmazonReviewsClassification (fr)":55.19,"MasakhaNEWSClassification (fra)":82.49,"MassiveIntentClassification (fr)":79.6,"MassiveScenarioClassification (fr)":82.18,"MTOPDomainClassification (fr)":97.2,"MTOPIntentClassification (fr)":93.07}
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all_data_tasks/17/default.jsonl

@@ -1,59 +1,58 @@
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 {"index":5,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":29.92,"AlloProfClusteringP2P":48.45,"AlloProfClusteringS2S":25.81,"HALClusteringS2S":11.52,"MLSUMClusteringP2P (fr)":34.53,"MLSUMClusteringS2S (fr)":27.35,"MasakhaNEWSClusteringP2P (fra)":32.04,"MasakhaNEWSClusteringS2S (fra)":29.77}
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all_data_tasks/18/default.jsonl

@@ -1,60 +1,59 @@
 {"index":9,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":90.43,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":80.86}
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 {"index":8,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":86.88,"OpusparcusPC (fr)":100.0,"PawsXPairClassification (fr)":73.77}
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-{"index":35,"Rank":34,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-base\">sentence-camembert-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":74.74,"OpusparcusPC (fr)":92.05,"PawsXPairClassification (fr)":57.44}
-{"index":66,"Rank":35,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":74.47,"OpusparcusPC (fr)":92.01,"PawsXPairClassification (fr)":56.94}
-{"index":1,"Rank":36,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":74.36,"OpusparcusPC (fr)":89.76,"PawsXPairClassification (fr)":58.96}
-{"index":56,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":74.3,"OpusparcusPC (fr)":93.96,"PawsXPairClassification (fr)":54.63}
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-{"index":65,"Rank":42,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/multi-qa-MiniLM-L6-cos-v1\">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":68,"Rank":43,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-base\">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":75,"Rank":44,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vprelovac\/universal-sentence-encoder-multilingual-3\">universal-sentence-encoder-multilingual-3<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.92,"OpusparcusPC (fr)":91.46,"PawsXPairClassification (fr)":52.39}
-{"index":62,"Rank":45,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/distiluse-base-multilingual-cased-v2\">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":58,"Rank":46,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">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":49,"Rank":47,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-560m\">udever-bloom-560m<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":70.9,"OpusparcusPC (fr)":82.1,"PawsXPairClassification (fr)":59.69}
-{"index":42,"Rank":48,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-uncased\">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":16,"Rank":49,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-10lang-cased\">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":18,"Rank":50,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Geotrend\/bert-base-25lang-cased\">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}
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-{"index":41,"Rank":52,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/google-bert\/bert-base-multilingual-cased\">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":78,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-large\">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":77,"Rank":54,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">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":39,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_uncased\">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":38,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_base_cased\">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":40,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/flaubert\/flaubert_large_cased\">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":37,"Rank":71,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":71.36}
-{"index":51,"Rank":73,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/manu\/sentence_croissant_alpha_v0.1\">sentence_croissant_alpha_v0.1<\/a>","Model Size (Million Parameters)":1280,"Memory Usage (GB, fp32)":4.77,"Average":"","OpusparcusPC (fr)":"","PawsXPairClassification (fr)":66.96}
-{"index":81,"Rank":82,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-small<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":"","OpusparcusPC (fr)":94.45,"PawsXPairClassification (fr)":""}
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all_data_tasks/19/default.jsonl

@@ -1,57 +1,56 @@
 {"index":10,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":85.22,"AlloprofReranking":78.62,"SyntecReranking":91.83}
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all_data_tasks/20/default.jsonl

@@ -1,59 +1,58 @@
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all_data_tasks/21/default.jsonl

@@ -1,73 +1,72 @@
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 {"index":10,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":82.59,"STS22 (fr)":83.28,"STSBenchmarkMultilingualSTS (fr)":85.09,"SICKFr":79.39}
 {"index":9,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"Average":82.31,"STS22 (fr)":82.58,"STSBenchmarkMultilingualSTS (fr)":85.46,"SICKFr":78.9}
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-{"index":36,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dangvantuan\/sentence-camembert-large\">sentence-camembert-large<\/a>","Model Size (Million Parameters)":337,"Memory Usage (GB, fp32)":1.26,"Average":81.74,"STS22 (fr)":81.73,"STSBenchmarkMultilingualSTS (fr)":85.79,"SICKFr":77.7}
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all_data_tasks/22/default.jsonl

@@ -1,58 +1,57 @@
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all_data_tasks/23/default.jsonl

@@ -1,47 +1,48 @@
 {"index":13,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-base\">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}
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+{"index":7,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/electra-small-swedish-cased-discriminator\">electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"Average":34.34,"MassiveIntentClassification (nb)":5.66,"MassiveScenarioClassification (nb)":11.26,"NoRecClassification":39.72,"NordicLangClassification":44.53,"NorwegianParliament":52.44,"ScalaNbClassification":52.41}
+{"index":0,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/github.com\/facebookresearch\/LASER\">LASER2<\/a>","Model Size (Million Parameters)":43,"Memory Usage (GB, fp32)":0.16,"Average":"","MassiveIntentClassification (nb)":37.74,"MassiveScenarioClassification (nb)":43.9,"NoRecClassification":"","NordicLangClassification":"","NorwegianParliament":"","ScalaNbClassification":""}
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all_data_tasks/24/default.jsonl

@@ -1,21 +1,21 @@
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+{"index":7,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/tart-full-flan-t5-xl\">tart-full-flan-t5-xl<\/a>","Model Size (Million Parameters)":2480,"Memory Usage (GB, fp32)":9.24,"Average":1.36,"Core17InstructionRetrieval":2.82,"News21InstructionRetrieval":1.99,"Robust04InstructionRetrieval":-0.72}
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+{"index":4,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/castorini\/monobert-large-msmarco\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nthakur\/contriever-base-msmarco\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base-v2\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-base\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/orionweller\/tart-dual-contriever-msmarco\">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}

all_data_tasks/25/default.jsonl

@@ -1,11 +1,17 @@
 {"index":1,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":65.39,"AILACasedocs":44.56,"AILAStatutes":45.51,"GerDaLIRSmall":44.91,"LeCaRDv2":72.75,"LegalBenchConsumerContractsQA":83.27,"LegalBenchCorporateLobbying":95.66,"LegalQuAD":67.47,"LegalSummarization":68.96}
 {"index":5,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":59.77,"AILACasedocs":38.76,"AILAStatutes":38.07,"GerDaLIRSmall":37.18,"LeCaRDv2":68.56,"LegalBenchConsumerContractsQA":75.46,"LegalBenchCorporateLobbying":94.01,"LegalQuAD":59.64,"LegalSummarization":66.51}
-{"index":10,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","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":16,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.mistral.ai\/guides\/embeddings\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":43.04,"AILACasedocs":31.54,"AILAStatutes":27.15,"GerDaLIRSmall":6.05,"LeCaRDv2":21.02,"LegalBenchConsumerContractsQA":77.12,"LegalBenchCorporateLobbying":93.68,"LegalQuAD":26.08,"LegalSummarization":61.7}
 {"index":2,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":1340,"Memory Usage (GB, fp32)":4.99,"Average":39.22,"AILACasedocs":25.15,"AILAStatutes":20.74,"GerDaLIRSmall":3.96,"LeCaRDv2":22.68,"LegalBenchConsumerContractsQA":73.52,"LegalBenchCorporateLobbying":91.51,"LegalQuAD":16.22,"LegalSummarization":59.99}
 {"index":4,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":"","AILACasedocs":35.31,"AILAStatutes":41.8,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":82.1,"LegalBenchCorporateLobbying":95.0,"LegalQuAD":"","LegalSummarization":70.64}
-{"index":6,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":"","AILACasedocs":16.8,"AILAStatutes":20.71,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":60.21,"LegalBenchCorporateLobbying":88.69,"LegalQuAD":"","LegalSummarization":57.43}
-{"index":7,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":"","AILACasedocs":19.72,"AILAStatutes":20.52,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":65.6,"LegalBenchCorporateLobbying":86.41,"LegalQuAD":"","LegalSummarization":59.0}
-{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AILACasedocs":22.51,"AILAStatutes":21.27,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":75.25,"LegalBenchCorporateLobbying":89.04,"LegalQuAD":"","LegalSummarization":58.55}
-{"index":9,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","AILACasedocs":"","AILAStatutes":"","GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":"","LegalBenchCorporateLobbying":"","LegalQuAD":"","LegalSummarization":""}
+{"index":6,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":"","AILACasedocs":26.05,"AILAStatutes":20.37,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":69.02,"LegalBenchCorporateLobbying":88.97,"LegalQuAD":"","LegalSummarization":61.69}
+{"index":7,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":"","AILACasedocs":26.43,"AILAStatutes":20.84,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":73.3,"LegalBenchCorporateLobbying":89.72,"LegalQuAD":"","LegalSummarization":62.1}
+{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":"","AILACasedocs":23.43,"AILAStatutes":19.01,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":66.98,"LegalBenchCorporateLobbying":89.47,"LegalQuAD":"","LegalSummarization":55.76}
+{"index":9,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"Average":"","AILACasedocs":17.67,"AILAStatutes":16.72,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":54.66,"LegalBenchCorporateLobbying":69.39,"LegalQuAD":"","LegalSummarization":53.89}
+{"index":10,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"Average":"","AILACasedocs":16.8,"AILAStatutes":20.71,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":60.21,"LegalBenchCorporateLobbying":88.69,"LegalQuAD":"","LegalSummarization":57.43}
+{"index":11,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Average":"","AILACasedocs":19.72,"AILAStatutes":20.52,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":65.6,"LegalBenchCorporateLobbying":86.41,"LegalQuAD":"","LegalSummarization":59.0}
+{"index":12,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":"","AILACasedocs":22.51,"AILAStatutes":21.27,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":75.25,"LegalBenchCorporateLobbying":89.04,"LegalQuAD":"","LegalSummarization":58.55}
+{"index":13,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":"","AILACasedocs":13.66,"AILAStatutes":20.52,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":49.81,"LegalBenchCorporateLobbying":88.51,"LegalQuAD":"","LegalSummarization":54.97}
+{"index":14,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":"","AILACasedocs":17.45,"AILAStatutes":22.24,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":52.37,"LegalBenchCorporateLobbying":87.62,"LegalQuAD":"","LegalSummarization":56.8}
+{"index":15,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">rubert-tiny-turbo<\/a>","Model Size (Million Parameters)":29,"Memory Usage (GB, fp32)":0.11,"Average":"","AILACasedocs":7.43,"AILAStatutes":13.62,"GerDaLIRSmall":"","LeCaRDv2":"","LegalBenchConsumerContractsQA":"","LegalBenchCorporateLobbying":"","LegalQuAD":"","LegalSummarization":""}

all_data_tasks/26/default.jsonl

@@ -1,19 +1,19 @@
-{"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-multilingual-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":79.17,"LEMBNarrativeQARetrieval":64.69,"LEMBNeedleRetrieval":75.25,"LEMBPasskeyRetrieval":97.0,"LEMBQMSumRetrieval":51.49,"LEMBSummScreenFDRetrieval":99.11,"LEMBWikimQARetrieval":87.49}
-{"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/docs.voyageai.com\/embeddings\/\">voyage-law-2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":78.85,"LEMBNarrativeQARetrieval":55.78,"LEMBNeedleRetrieval":80.5,"LEMBPasskeyRetrieval":93.75,"LEMBQMSumRetrieval":57.26,"LEMBSummScreenFDRetrieval":98.72,"LEMBWikimQARetrieval":87.08}
-{"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">e5-mistral-7b-instruct<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Average":64.4,"LEMBNarrativeQARetrieval":44.62,"LEMBNeedleRetrieval":48.25,"LEMBPasskeyRetrieval":71.0,"LEMBQMSumRetrieval":43.63,"LEMBSummScreenFDRetrieval":96.82,"LEMBWikimQARetrieval":82.11}
-{"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jinaai\/jina-embeddings-v2-base-en\">jina-embeddings-v2-base-en<\/a>","Model Size (Million Parameters)":275,"Memory Usage (GB, fp32)":1.02,"Average":58.12,"LEMBNarrativeQARetrieval":37.89,"LEMBNeedleRetrieval":54.25,"LEMBPasskeyRetrieval":50.25,"LEMBQMSumRetrieval":38.87,"LEMBSummScreenFDRetrieval":93.48,"LEMBWikimQARetrieval":73.99}
-{"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">bge-m3<\/a>","Model Size (Million Parameters)":2270,"Memory Usage (GB, fp32)":8.46,"Average":56.56,"LEMBNarrativeQARetrieval":45.76,"LEMBNeedleRetrieval":40.25,"LEMBPasskeyRetrieval":46.0,"LEMBQMSumRetrieval":35.54,"LEMBSummScreenFDRetrieval":94.09,"LEMBWikimQARetrieval":77.73}
-{"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/dwzhu\/e5-base-4k\">e5-base-4k<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"Average":56.52,"LEMBNarrativeQARetrieval":30.35,"LEMBNeedleRetrieval":41.5,"LEMBPasskeyRetrieval":67.25,"LEMBQMSumRetrieval":35.6,"LEMBSummScreenFDRetrieval":95.23,"LEMBWikimQARetrieval":69.19}
-{"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/nomic-ai\/nomic-embed-text-v1\">nomic-embed-text-v1<\/a>","Model Size (Million Parameters)":547,"Memory Usage (GB, fp32)":2.04,"Average":54.81,"LEMBNarrativeQARetrieval":41.23,"LEMBNeedleRetrieval":39.5,"LEMBPasskeyRetrieval":44.75,"LEMBQMSumRetrieval":36.65,"LEMBSummScreenFDRetrieval":92.97,"LEMBWikimQARetrieval":73.75}
-{"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":51.3,"LEMBNarrativeQARetrieval":44.09,"LEMBNeedleRetrieval":29.25,"LEMBPasskeyRetrieval":63.0,"LEMBQMSumRetrieval":32.49,"LEMBSummScreenFDRetrieval":84.8,"LEMBWikimQARetrieval":54.16}
-{"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":47.1,"LEMBNarrativeQARetrieval":41.46,"LEMBNeedleRetrieval":33.25,"LEMBPasskeyRetrieval":38.25,"LEMBQMSumRetrieval":30.32,"LEMBSummScreenFDRetrieval":78.49,"LEMBWikimQARetrieval":60.8}
-{"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.54,"LEMBNarrativeQARetrieval":23.6,"LEMBNeedleRetrieval":32.0,"LEMBPasskeyRetrieval":38.25,"LEMBQMSumRetrieval":25.16,"LEMBSummScreenFDRetrieval":68.21,"LEMBWikimQARetrieval":56.04}
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all_data_tasks/28/default.jsonl

@@ -1,52 +1,51 @@
 {"index":3,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":77.99,"AllegroReviews":65.0,"CBD":84.13,"MassiveIntentClassification (pl)":79.41,"MassiveScenarioClassification (pl)":81.93,"PAC":67.24,"PolEmo2.0-IN":90.42,"PolEmo2.0-OUT":77.77}
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 {"index":1,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":72.29,"AllegroReviews":63.98,"CBD":68.56,"MassiveIntentClassification (pl)":73.55,"MassiveScenarioClassification (pl)":76.37,"PAC":69.04,"PolEmo2.0-IN":86.16,"PolEmo2.0-OUT":68.4}
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+{"index":52,"Rank":53,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/sentence-t5-large\">sentence-t5-large<\/a>","Model Size (Million Parameters)":168,"Memory Usage (GB, fp32)":0.63,"Average":"","AllegroReviews":"","CBD":"","MassiveIntentClassification (pl)":37.67,"MassiveScenarioClassification (pl)":45.2,"PAC":"","PolEmo2.0-IN":"","PolEmo2.0-OUT":""}
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all_data_tasks/29/default.jsonl

@@ -1,24 +1,23 @@
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+{"index":2,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-7B-instruct\">gte-Qwen2-7B-instruct<\/a>","Model Size (Million Parameters)":7613,"Memory Usage (GB, fp32)":28.36,"8TagsClustering":51.36}
 {"index":3,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"8TagsClustering":50.29}
 {"index":1,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"8TagsClustering":44.59}
-{"index":33,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/niancheng\/gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF\">gte-Qwen2-1.5B-instruct-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","8TagsClustering":44.59}
-{"index":26,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"8TagsClustering":33.88}
-{"index":40,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sdadas\/st-polish-paraphrase-from-mpnet\">st-polish-paraphrase-from-mpnet<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"8TagsClustering":33.15}
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all_data_tasks/30/default.jsonl

@@ -1,30 +1,29 @@
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all_data_tasks/31/default.jsonl

@@ -1,23 +1,22 @@
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all_data_tasks/32/default.jsonl

@@ -1,50 +1,49 @@
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 {"index":3,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":70.64,"CDSC-R":90.97,"SICK-R-PL":78.16,"STS22 (pl)":42.79}
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all_data_tasks/33/default.jsonl

@@ -1,47 +1,25 @@
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all_data_tasks/36/default.jsonl

@@ -1,30 +1,25 @@
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all_data_tasks/37/default.jsonl

@@ -1,14 +1,25 @@
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-{"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">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}
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-{"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/openai.com\/blog\/new-embedding-models-and-api-updates\">text-embedding-3-large<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","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}
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-{"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Cohere\/Cohere-embed-english-v3.0\">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}
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-{"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/en.wikipedia.org\/wiki\/Okapi_BM25\">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}
-{"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/hkunlp\/instructor-large\">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}
-{"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-large-en-v1.5\">bge-large-en-v1.5<\/a>","Model Size (Million Parameters)":1340,"Memory Usage (GB, fp32)":4.99,"Average":13.47,"BrightRetrieval (aops)":6.08,"BrightRetrieval (biology)":11.96,"BrightRetrieval (earth_science)":24.15,"BrightRetrieval (economics)":16.59,"BrightRetrieval (leetcode)":26.68,"BrightRetrieval (pony)":5.64,"BrightRetrieval (psychology)":17.44,"BrightRetrieval (robotics)":12.21,"BrightRetrieval (stackoverflow)":9.51,"BrightRetrieval (sustainable_living)":13.27,"BrightRetrieval (theoremqa_questions)":12.56,"BrightRetrieval (theoremqa_theorems)":5.51}
+{"index":13,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-mistral-7b-instruct\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":77.39,"RiaNewsRetrieval (rus-Cyrl)":80.67,"RuBQRetrieval (rus-Cyrl)":74.11}
+{"index":0,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-m3\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">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":16,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":69.27,"RiaNewsRetrieval (rus-Cyrl)":70.01,"RuBQRetrieval (rus-Cyrl)":68.53}
+{"index":23,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">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":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-base\">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}
+{"index":24,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">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}
+{"index":22,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">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}
+{"index":21,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":37.26,"RiaNewsRetrieval (rus-Cyrl)":44.82,"RuBQRetrieval (rus-Cyrl)":29.7}
+{"index":17,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/LaBSE-en-ru\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny2\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_nlu_ru\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">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":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">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":4,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"Average":"","RiaNewsRetrieval (rus-Cyrl)":"","RuBQRetrieval (rus-Cyrl)":70.94}
+{"index":14,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":"","RiaNewsRetrieval (rus-Cyrl)":"","RuBQRetrieval (rus-Cyrl)":69.58}
+{"index":18,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">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":20,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">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}

all_data_tasks/38/default.jsonl

@@ -1,25 +1,25 @@
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all_data_tasks/39/default.jsonl

@@ -1,25 +1,48 @@
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all_data_tasks/42/default.jsonl

@@ -1,25 +1,36 @@
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-{"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/USER-bge-m3\">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}
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-{"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/LaBSE-ru-turbo\">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}
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-{"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sergeyzh\/rubert-tiny-turbo\">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}
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-{"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ai-forever\/sbert_large_mt_nlu_ru\">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}
-{"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny2\">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}
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-{"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/rubert-base-cased-sentence\">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}
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-{"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/deepvk\/deberta-v1-base\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DeepPavlov\/distilrubert-small-cased-conversational\">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":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/cointegrated\/rubert-tiny\">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}
-{"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">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}
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all_data_tasks/43/default.jsonl

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all_data_tasks/6/default.jsonl

@@ -1,181 +1,178 @@
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all_data_tasks/8/default.jsonl

@@ -1,86 +1,85 @@
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 {"index":12,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/help.aliyun.com\/zh\/open-search\/vector-search-edition\/hybrid-retrieval\">OpenSearch-text-hybrid<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":71.74,"AmazonReviewsClassification (zh)":46.18,"IFlyTek":51.8,"JDReview":86.02,"MassiveIntentClassification (zh-CN)":73.85,"MassiveScenarioClassification (zh-CN)":77.13,"MultilingualSentiment":76.35,"OnlineShopping":93.2,"TNews":53.06,"Waimai":88.1}
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 {"index":16,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen2-1.5B-instruct\">gte-Qwen2-1.5B-instruct<\/a>","Model Size (Million Parameters)":1776,"Memory Usage (GB, fp32)":6.62,"Average":71.12,"AmazonReviewsClassification (zh)":47.21,"IFlyTek":44.85,"JDReview":85.82,"MassiveIntentClassification (zh-CN)":76.88,"MassiveScenarioClassification (zh-CN)":80.76,"MultilingualSentiment":74.46,"OnlineShopping":93.5,"TNews":49.95,"Waimai":86.63}
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all_data_tasks/9/default.jsonl

@@ -1,64 +1,63 @@
 {"index":15,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Alibaba-NLP\/gte-Qwen1.5-7B-instruct\">gte-Qwen1.5-7B-instruct<\/a>","Model Size (Million Parameters)":7099,"Memory Usage (GB, fp32)":26.45,"Average":67.08,"CLSClusteringP2P":47.21,"CLSClusteringS2S":45.79,"ThuNewsClusteringP2P":87.43,"ThuNewsClusteringS2S":87.9}
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 {"index":38,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Classical\/Yinka\">Yinka<\/a>","Model Size (Million Parameters)":164,"Memory Usage (GB, fp32)":0.61,"Average":61.98,"CLSClusteringP2P":56.35,"CLSClusteringS2S":48.49,"ThuNewsClusteringP2P":74.55,"ThuNewsClusteringS2S":68.55}
 {"index":29,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/BAAI\/bge-multilingual-gemma2\">bge-multilingual-gemma2<\/a>","Model Size (Million Parameters)":9242,"Memory Usage (GB, fp32)":34.43,"Average":59.3,"CLSClusteringP2P":54.65,"CLSClusteringS2S":63.68,"ThuNewsClusteringP2P":64.32,"ThuNewsClusteringS2S":54.57}
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-{"index":168,"Rank":37,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/infgrad\/stella-base-zh\">stella-base-zh<\/a>","Model Size (Million Parameters)":51,"Memory Usage (GB, fp32)":0.19,"Average":48.7,"CLSClusteringP2P":39.71,"CLSClusteringS2S":36.56,"ThuNewsClusteringP2P":63.19,"ThuNewsClusteringS2S":55.36}
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-{"index":183,"Rank":51,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"Average":45.26,"CLSClusteringP2P":39.14,"CLSClusteringS2S":37.79,"ThuNewsClusteringP2P":55.18,"ThuNewsClusteringS2S":48.93}
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+{"index":194,"Rank":55,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-1b1\">udever-bloom-1b1<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Average":42.42,"CLSClusteringP2P":35.36,"CLSClusteringS2S":37.07,"ThuNewsClusteringP2P":48.91,"ThuNewsClusteringS2S":48.34}
+{"index":197,"Rank":56,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/izhx\/udever-bloom-7b1\">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":189,"Rank":57,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":40.68,"CLSClusteringP2P":32.41,"CLSClusteringS2S":36.99,"ThuNewsClusteringP2P":40.98,"ThuNewsClusteringS2S":52.36}
+{"index":52,"Rank":58,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/EdwardBurgin\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":39.67,"CLSClusteringP2P":39.24,"CLSClusteringS2S":35.36,"ThuNewsClusteringP2P":47.3,"ThuNewsClusteringS2S":36.77}
+{"index":281,"Rank":59,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/shibing624\/text2vec-base-chinese\">text2vec-base-chinese<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":37.66,"CLSClusteringP2P":35.27,"CLSClusteringS2S":32.42,"ThuNewsClusteringP2P":42.92,"ThuNewsClusteringS2S":40.01}
+{"index":165,"Rank":60,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">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":48,"Rank":61,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/DMetaSoul\/sbert-chinese-general-v1\">sbert-chinese-general-v1<\/a>","Model Size (Million Parameters)":102,"Memory Usage (GB, fp32)":0.38,"Average":31.8,"CLSClusteringP2P":34.98,"CLSClusteringS2S":27.82,"ThuNewsClusteringP2P":40.17,"ThuNewsClusteringS2S":24.23}
+{"index":56,"Rank":62,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GanymedeNil\/text2vec-large-chinese\">text2vec-large-chinese<\/a>","Model Size (Million Parameters)":326,"Memory Usage (GB, fp32)":1.21,"Average":30.02,"CLSClusteringP2P":30.13,"CLSClusteringS2S":28.77,"ThuNewsClusteringP2P":35.05,"ThuNewsClusteringS2S":26.14}
+{"index":293,"Rank":63,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/thtang\/ALL_862873\">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}

boards_data/da/data_tasks/BitextMining/default.jsonl

@@ -1,24 +1,26 @@
-{"index":9,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","BornholmBitextMining":47.37}
-{"index":13,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"BornholmBitextMining":46.4}
-{"index":14,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"BornholmBitextMining":44.16}
-{"index":15,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"BornholmBitextMining":43.89}
-{"index":12,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"BornholmBitextMining":40.27}
-{"index":11,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"BornholmBitextMining":40.15}
-{"index":10,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"BornholmBitextMining":40.09}
+{"index":8,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/facebook\/SONAR\">SONAR<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","BornholmBitextMining":47.37}
+{"index":12,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"BornholmBitextMining":46.4}
+{"index":13,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"BornholmBitextMining":44.16}
+{"index":14,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-small\">multilingual-e5-small<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"BornholmBitextMining":43.89}
+{"index":11,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-small\">e5-small<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"BornholmBitextMining":40.27}
+{"index":10,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-large\">e5-large<\/a>","Model Size (Million Parameters)":335,"Memory Usage (GB, fp32)":1.25,"BornholmBitextMining":40.15}
+{"index":9,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/e5-base\">e5-base<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"BornholmBitextMining":40.09}
 {"index":1,"Rank":8,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/Jechto\/e5-dansk-test-0.1\">e5-dansk-test-0.1<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"BornholmBitextMining":37.97}
 {"index":20,"Rank":9,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L6-v2\">all-MiniLM-L6-v2<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"BornholmBitextMining":29.68}
-{"index":8,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-sentence-encoder-large-1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":15.93}
-{"index":4,"Rank":11,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/sentence-bert-swedish-cased\">sentence-bert-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":14.08}
-{"index":7,"Rank":12,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-encoder-large-v1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":11.65}
-{"index":5,"Rank":13,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-base\">nb-bert-base<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"BornholmBitextMining":9.88}
-{"index":2,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KB\/bert-base-swedish-cased\">bert-base-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.6}
-{"index":22,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vesteinn\/DanskBERT\">DanskBERT<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.34}
-{"index":17,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-base\">norbert3-base<\/a>","Model Size (Million Parameters)":131,"Memory Usage (GB, fp32)":0.49,"BornholmBitextMining":6.08}
-{"index":6,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":4.53}
-{"index":23,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"BornholmBitextMining":4.42}
-{"index":18,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-large\">norbert3-large<\/a>","Model Size (Million Parameters)":368,"Memory Usage (GB, fp32)":1.37,"BornholmBitextMining":2.9}
-{"index":16,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jonfd\/electra-small-nordic\">electra-small-nordic<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"BornholmBitextMining":1.44}
-{"index":3,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/electra-small-swedish-cased-discriminator\">electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"BornholmBitextMining":0.85}
-{"index":0,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"BornholmBitextMining":""}
+{"index":4,"Rank":10,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/sentence-bert-swedish-cased\">sentence-bert-swedish-cased<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":14.08}
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+{"index":24,"Rank":14,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vesteinn\/DanskBERT\">DanskBERT<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"BornholmBitextMining":6.34}
+{"index":16,"Rank":15,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-base\">norbert3-base<\/a>","Model Size (Million Parameters)":131,"Memory Usage (GB, fp32)":0.49,"BornholmBitextMining":6.08}
+{"index":6,"Rank":16,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"BornholmBitextMining":4.53}
+{"index":25,"Rank":17,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/xlm-roberta-base\">xlm-roberta-base<\/a>","Model Size (Million Parameters)":279,"Memory Usage (GB, fp32)":1.04,"BornholmBitextMining":4.42}
+{"index":17,"Rank":18,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/ltg\/norbert3-large\">norbert3-large<\/a>","Model Size (Million Parameters)":368,"Memory Usage (GB, fp32)":1.37,"BornholmBitextMining":2.9}
+{"index":15,"Rank":19,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/jonfd\/electra-small-nordic\">electra-small-nordic<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"BornholmBitextMining":1.44}
+{"index":3,"Rank":20,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/KBLab\/electra-small-swedish-cased-discriminator\">electra-small-swedish-cased-discriminator<\/a>","Model Size (Million Parameters)":16,"Memory Usage (GB, fp32)":0.06,"BornholmBitextMining":0.85}
+{"index":0,"Rank":21,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/GritLM\/GritLM-7B\">GritLM-7B<\/a>","Model Size (Million Parameters)":7240,"Memory Usage (GB, fp32)":26.97,"BornholmBitextMining":""}
+{"index":18,"Rank":22,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/LaBSE\">LaBSE<\/a>","Model Size (Million Parameters)":471,"Memory Usage (GB, fp32)":1.75,"BornholmBitextMining":""}
 {"index":19,"Rank":23,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-MiniLM-L12-v2\">all-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":33,"Memory Usage (GB, fp32)":0.12,"BornholmBitextMining":""}
 {"index":21,"Rank":24,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/all-mpnet-base-v2\">all-mpnet-base-v2<\/a>","Model Size (Million Parameters)":110,"Memory Usage (GB, fp32)":0.41,"BornholmBitextMining":""}
+{"index":22,"Rank":25,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-MiniLM-L12-v2\">paraphrase-multilingual-MiniLM-L12-v2<\/a>","Model Size (Million Parameters)":118,"Memory Usage (GB, fp32)":0.44,"BornholmBitextMining":""}
+{"index":23,"Rank":26,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/sentence-transformers\/paraphrase-multilingual-mpnet-base-v2\">paraphrase-multilingual-mpnet-base-v2<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"BornholmBitextMining":""}

boards_data/da/data_tasks/Classification/default.jsonl

@@ -1,47 +1,48 @@
-{"index":17,"Rank":1,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-sentence-encoder-large-1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"Average":61.62,"AngryTweetsClassification":54.42,"DKHateClassification":63.19,"DanishPoliticalCommentsClassification":37.76,"LccSentimentClassification":58.07,"MassiveIntentClassification (da)":65.83,"MassiveScenarioClassification (da)":71.61,"NordicLangClassification":75.98,"ScalaDaClassification":66.09}
-{"index":24,"Rank":2,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-large\">multilingual-e5-large<\/a>","Model Size (Million Parameters)":560,"Memory Usage (GB, fp32)":2.09,"Average":59.94,"AngryTweetsClassification":54.95,"DKHateClassification":66.02,"DanishPoliticalCommentsClassification":38.27,"LccSentimentClassification":59.6,"MassiveIntentClassification (da)":60.16,"MassiveScenarioClassification (da)":67.46,"NordicLangClassification":82.29,"ScalaDaClassification":50.77}
-{"index":16,"Rank":3,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/chcaa\/dfm-encoder-large-v1\">dfm-encoder-large-v1<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"Average":59.16,"AngryTweetsClassification":53.8,"DKHateClassification":60.09,"DanishPoliticalCommentsClassification":36.6,"LccSentimentClassification":57.33,"MassiveIntentClassification (da)":60.55,"MassiveScenarioClassification (da)":64.16,"NordicLangClassification":77.68,"ScalaDaClassification":63.08}
-{"index":13,"Rank":4,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-large\">nb-bert-large<\/a>","Model Size (Million Parameters)":355,"Memory Usage (GB, fp32)":1.32,"Average":58.9,"AngryTweetsClassification":52.14,"DKHateClassification":62.13,"DanishPoliticalCommentsClassification":35.04,"LccSentimentClassification":56.27,"MassiveIntentClassification (da)":57.03,"MassiveScenarioClassification (da)":60.43,"NordicLangClassification":85.27,"ScalaDaClassification":62.85}
-{"index":23,"Rank":5,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/intfloat\/multilingual-e5-base\">multilingual-e5-base<\/a>","Model Size (Million Parameters)":278,"Memory Usage (GB, fp32)":1.04,"Average":58.61,"AngryTweetsClassification":54.65,"DKHateClassification":63.53,"DanishPoliticalCommentsClassification":36.69,"LccSentimentClassification":59.67,"MassiveIntentClassification (da)":60.16,"MassiveScenarioClassification (da)":67.46,"NordicLangClassification":75.94,"ScalaDaClassification":50.79}
-{"index":45,"Rank":6,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/vesteinn\/DanskBERT\">DanskBERT<\/a>","Model Size (Million Parameters)":125,"Memory Usage (GB, fp32)":0.47,"Average":58.31,"AngryTweetsClassification":54.28,"DKHateClassification":59.3,"DanishPoliticalCommentsClassification":39.81,"LccSentimentClassification":58.0,"MassiveIntentClassification (da)":54.68,"MassiveScenarioClassification (da)":59.56,"NordicLangClassification":74.25,"ScalaDaClassification":66.59}
-{"index":12,"Rank":7,"Model":"<a target=\"_blank\" style=\"text-decoration: underline\" href=\"https:\/\/huggingface.co\/NbAiLab\/nb-bert-base\">nb-bert-base<\/a>","Model Size (Million Parameters)":179,"Memory Usage (GB, fp32)":0.67,"Average":57.68,"AngryTweetsClassification":52.14,"DKHateClassification":61.73,"DanishPoliticalCommentsClassification":34.84,"LccSentimentClassification":51.4,"MassiveIntentClassification (da)":56.69,"MassiveScenarioClassification (da)":61.93,"NordicLangClassification":84.69,"ScalaDaClassification":57.99}
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