Update

results.py

@@ -39,6 +39,9 @@ MODELS = [
     "dfm-sentence-encoder-large-1",
     "distiluse-base-multilingual-cased-v2",
     "DanskBERT",
+    "e5-base",
+    "e5-large",
+    "e5-small",
     "electra-small-nordic",
     "electra-small-swedish-cased-discriminator",
     "gbert-base",
@@ -55,6 +58,9 @@ MODELS = [
     "LaBSE",
     "LASER2",
     "msmarco-bert-co-condensor",
+    "multilingual-e5-base",
+    "multilingual-e5-large",
+    "multilingual-e5-small",
     "nb-bert-base",
     "nb-bert-large",
     "norbert3-base",

results/DanskBERT/SwerecClassification.json

@@ -1,6 +1,6 @@
 {
   "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
-  "mteb_dataset_name": "SwerecClassification",
+  "mteb_dataset_name": "SweRecClassification",
   "mteb_version": "1.0.3.dev0",
   "test": {
     "accuracy": 0.619482421875,

results/all-MiniLM-L6-v2/SwerecClassification.json

@@ -1,6 +1,6 @@
 {
   "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
-  "mteb_dataset_name": "SwerecClassification",
+  "mteb_dataset_name": "SweRecClassification",
   "mteb_version": "1.0.3.dev0",
   "test": {
     "accuracy": 0.6083984375,

results/bert-base-swedish-cased/SwerecClassification.json

@@ -1,6 +1,6 @@
 {
   "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
-  "mteb_dataset_name": "SwerecClassification",
+  "mteb_dataset_name": "SweRecClassification",
   "mteb_version": "1.0.3.dev0",
   "test": {
     "accuracy": 0.6984375,

results/dfm-encoder-large-v1/SwerecClassification.json

@@ -1,6 +1,6 @@
 {
   "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
-  "mteb_dataset_name": "SwerecClassification",
+  "mteb_dataset_name": "SweRecClassification",
   "mteb_version": "1.0.3.dev0",
   "test": {
     "accuracy": 0.652001953125,

results/dfm-sentence-encoder-large-1/SwerecClassification.json

@@ -1,6 +1,6 @@
 {
   "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
-  "mteb_dataset_name": "SwerecClassification",
+  "mteb_dataset_name": "SweRecClassification",
   "mteb_version": "1.0.3.dev0",
   "test": {
     "accuracy": 0.669580078125,

results/e5-base/AngryTweetsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.45062082139446036,
+    "accuracy_stderr": 0.018014900863957715,
+    "evaluation_time": 37.68,
+    "f1": 0.4444174436926957,
+    "f1_stderr": 0.0178439514512202,
+    "main_score": 0.45062082139446036
+  }
+}

results/e5-base/BornholmBitextMining.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "mteb_dataset_name": "BornholmBitextMining",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.476,
+    "evaluation_time": 18.51,
+    "f1": 0.40085997335997336,
+    "main_score": 0.40085997335997336,
+    "precision": 0.3756453102453103,
+    "recall": 0.476
+  }
+}

results/e5-base/DKHateClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "mteb_dataset_name": "DKHateClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5851063829787233,
+    "accuracy_stderr": 0.08442245820326019,
+    "ap": 0.8934379089500915,
+    "ap_stderr": 0.011387211965949523,
+    "evaluation_time": 46.62,
+    "f1": 0.48251157398731886,
+    "f1_stderr": 0.05216259611447489,
+    "main_score": 0.5851063829787233
+  }
+}

results/e5-base/DalajClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "DalajClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.4961711711711712,
+    "accuracy_stderr": 0.006047622334278188,
+    "ap": 0.4981458216185105,
+    "ap_stderr": 0.0029592715632036624,
+    "evaluation_time": 25.32,
+    "f1": 0.4911100751198404,
+    "f1_stderr": 0.007501621108791459,
+    "main_score": 0.4961711711711712
+  }
+}

results/e5-base/DanishPoliticalCommentsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "mteb_dataset_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "train": {
+    "accuracy": 0.28431862336941444,
+    "accuracy_stderr": 0.017930104675634675,
+    "evaluation_time": 98.42,
+    "f1": 0.2565138520984872,
+    "f1_stderr": 0.013210674480253167,
+    "main_score": 0.28431862336941444
+  }
+}

results/e5-base/LccSentimentClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "mteb_dataset_name": "LccSentimentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.3746666666666667,
+    "accuracy_stderr": 0.04568491119736484,
+    "evaluation_time": 15.1,
+    "f1": 0.34892402884941426,
+    "f1_stderr": 0.03473805734862492,
+    "main_score": 0.3746666666666667
+  }
+}

results/e5-base/MassiveIntentClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7",
+  "mteb_dataset_name": "MassiveIntentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "da": {
+      "accuracy": 0.4425353059852051,
+      "accuracy_stderr": 0.011987069326364846,
+      "f1": 0.42176846706873306,
+      "f1_stderr": 0.011356143085800888,
+      "main_score": 0.4425353059852051
+    },
+    "evaluation_time": 1773.34,
+    "nb": {
+      "accuracy": 0.4156691324815064,
+      "accuracy_stderr": 0.01598275910181979,
+      "f1": 0.38586961267500197,
+      "f1_stderr": 0.015427786451280444,
+      "main_score": 0.4156691324815064
+    },
+    "sv": {
+      "accuracy": 0.4134498991257566,
+      "accuracy_stderr": 0.018471099583417097,
+      "f1": 0.3929727867759662,
+      "f1_stderr": 0.013898327460181962,
+      "main_score": 0.4134498991257566
+    }
+  },
+  "validation": {
+    "da": {
+      "accuracy": 0.4398425971470733,
+      "accuracy_stderr": 0.011472183999356698,
+      "f1": 0.4100657510704496,
+      "f1_stderr": 0.011047044189643786,
+      "main_score": 0.4398425971470733
+    },
+    "evaluation_time": 794.93,
+    "nb": {
+      "accuracy": 0.4046237088047221,
+      "accuracy_stderr": 0.010695958905995989,
+      "f1": 0.3715515469232034,
+      "f1_stderr": 0.011460635159926987,
+      "main_score": 0.4046237088047221
+    },
+    "sv": {
+      "accuracy": 0.40550909985243483,
+      "accuracy_stderr": 0.015942199767989006,
+      "f1": 0.3785372697407485,
+      "f1_stderr": 0.018483194344065323,
+      "main_score": 0.40550909985243483
+    }
+  }
+}

results/e5-base/MassiveScenarioClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634",
+  "mteb_dataset_name": "MassiveScenarioClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "da": {
+      "accuracy": 0.5299260255548084,
+      "accuracy_stderr": 0.00994860772595831,
+      "f1": 0.498560032028262,
+      "f1_stderr": 0.011851321957858672,
+      "main_score": 0.5299260255548084
+    },
+    "evaluation_time": 106.25,
+    "nb": {
+      "accuracy": 0.503261600537996,
+      "accuracy_stderr": 0.023111260517713856,
+      "f1": 0.4690655880152623,
+      "f1_stderr": 0.02016718494227476,
+      "main_score": 0.503261600537996
+    },
+    "sv": {
+      "accuracy": 0.5000336247478143,
+      "accuracy_stderr": 0.016636232640655457,
+      "f1": 0.4690590587313784,
+      "f1_stderr": 0.015175993334931649,
+      "main_score": 0.5000336247478143
+    }
+  },
+  "validation": {
+    "da": {
+      "accuracy": 0.5171667486473192,
+      "accuracy_stderr": 0.011807673132943994,
+      "f1": 0.4974806088306596,
+      "f1_stderr": 0.010871699242333253,
+      "main_score": 0.5171667486473192
+    },
+    "evaluation_time": 78.77,
+    "nb": {
+      "accuracy": 0.49665518937530734,
+      "accuracy_stderr": 0.02356226642261646,
+      "f1": 0.47463894012003527,
+      "f1_stderr": 0.022075754462668067,
+      "main_score": 0.49665518937530734
+    },
+    "sv": {
+      "accuracy": 0.5000983767830793,
+      "accuracy_stderr": 0.015305495827354468,
+      "f1": 0.47399924919005876,
+      "f1_stderr": 0.013426657789642702,
+      "main_score": 0.5000983767830793
+    }
+  }
+}

results/e5-base/NoRecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "07b99ab3363c2e7f8f87015b01c21f4d9b917ce3",
+  "mteb_dataset_name": "NoRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.42001953125,
+    "accuracy_stderr": 0.017598187335909503,
+    "evaluation_time": 40.06,
+    "f1": 0.39420842567274017,
+    "f1_stderr": 0.013027788332644633,
+    "main_score": 0.42001953125
+  }
+}

results/e5-base/NordicLangClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "e254179d18ab0165fdb6dbef91178266222bee2a",
+  "mteb_dataset_name": "NordicLangClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5933666666666666,
+    "accuracy_stderr": 0.01949555504895068,
+    "evaluation_time": 76.76,
+    "f1": 0.5686537021938836,
+    "f1_stderr": 0.025468676414749182,
+    "main_score": 0.5933666666666666
+  }
+}

results/e5-base/NorwegianParliament.json

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "f7393532774c66312378d30b197610b43d751972",
+  "mteb_dataset_name": "NorwegianParliament",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5742499999999999,
+    "accuracy_stderr": 0.0184030869994985,
+    "ap": 0.5430478170562347,
+    "ap_stderr": 0.012016851444700091,
+    "evaluation_time": 246.28,
+    "f1": 0.5701556209363587,
+    "f1_stderr": 0.021749204878184724,
+    "main_score": 0.5742499999999999
+  },
+  "validation": {
+    "accuracy": 0.5826666666666667,
+    "accuracy_stderr": 0.027633011658763033,
+    "ap": 0.5488329250493975,
+    "ap_stderr": 0.018164041952559478,
+    "evaluation_time": 250.97,
+    "f1": 0.5780737211322554,
+    "f1_stderr": 0.0316607302114025,
+    "main_score": 0.5826666666666667
+  }
+}

results/e5-base/ScalaDaClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1de08520a7b361e92ffa2a2201ebd41942c54675",
+  "mteb_dataset_name": "ScalaDaClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.500830078125,
+    "accuracy_stderr": 0.005389041391598447,
+    "ap": 0.5004414995323462,
+    "ap_stderr": 0.002713805877440957,
+    "evaluation_time": 42.76,
+    "f1": 0.4973482849517068,
+    "f1_stderr": 0.004568697226028063,
+    "main_score": 0.500830078125
+  }
+}

results/e5-base/ScalaNbClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "237111a078ad5a834a55c57803d40bbe410ed03b",
+  "mteb_dataset_name": "ScalaNbClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.501806640625,
+    "accuracy_stderr": 0.0035348999604957547,
+    "ap": 0.5009194856561523,
+    "ap_stderr": 0.001778546312293984,
+    "evaluation_time": 38.83,
+    "f1": 0.4981610113006016,
+    "f1_stderr": 0.007048761194173441,
+    "main_score": 0.501806640625
+  }
+}

results/e5-base/ScalaSvClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1b48e3dcb02872335ff985ff938a054a4ed99008",
+  "mteb_dataset_name": "ScalaSvClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.49951171875,
+    "accuracy_stderr": 0.0025929527436233894,
+    "ap": 0.4997629845167547,
+    "ap_stderr": 0.0012930488979332477,
+    "evaluation_time": 38.35,
+    "f1": 0.49540605303641233,
+    "f1_stderr": 0.003819030502792098,
+    "main_score": 0.49951171875
+  }
+}

results/e5-base/SweRecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
+  "mteb_dataset_name": "SweRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.61044921875,
+    "accuracy_stderr": 0.02752260839343394,
+    "evaluation_time": 444.23,
+    "f1": 0.5308090059465818,
+    "f1_stderr": 0.019609990731894015,
+    "main_score": 0.61044921875
+  }
+}

results/e5-large/AngryTweetsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.46141356255969435,
+    "accuracy_stderr": 0.01975692661833229,
+    "evaluation_time": 115.53,
+    "f1": 0.45213682091348817,
+    "f1_stderr": 0.018483239580143,
+    "main_score": 0.46141356255969435
+  }
+}

results/e5-large/BornholmBitextMining.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "mteb_dataset_name": "BornholmBitextMining",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.48,
+    "evaluation_time": 32.01,
+    "f1": 0.4015300588300588,
+    "main_score": 0.4015300588300588,
+    "precision": 0.3737246031746032,
+    "recall": 0.48
+  }
+}

results/e5-large/DKHateClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "mteb_dataset_name": "DKHateClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5872340425531914,
+    "accuracy_stderr": 0.07910681065370229,
+    "ap": 0.14996603678538784,
+    "ap_stderr": 0.015088889267700653,
+    "evaluation_time": 174.79,
+    "f1": 0.48395133167666576,
+    "f1_stderr": 0.047771795718712304,
+    "main_score": 0.5872340425531914
+  }
+}

results/e5-large/DalajClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "DalajClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.4976351351351352,
+    "accuracy_stderr": 0.006399131822151077,
+    "ap": 0.4988653813237763,
+    "ap_stderr": 0.0032253782282889304,
+    "evaluation_time": 73.97,
+    "f1": 0.4950559049528488,
+    "f1_stderr": 0.007482085016856324,
+    "main_score": 0.4976351351351352
+  }
+}

results/e5-large/DanishPoliticalCommentsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "mteb_dataset_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "train": {
+    "accuracy": 0.28670552317513176,
+    "accuracy_stderr": 0.018538568095527928,
+    "evaluation_time": 314.16,
+    "f1": 0.26146044902080223,
+    "f1_stderr": 0.015117600458806174,
+    "main_score": 0.28670552317513176
+  }
+}

results/e5-large/LccSentimentClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "mteb_dataset_name": "LccSentimentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.4213333333333334,
+    "accuracy_stderr": 0.025957229778575713,
+    "evaluation_time": 50.68,
+    "f1": 0.3986438588836284,
+    "f1_stderr": 0.022316523622632742,
+    "main_score": 0.4213333333333334
+  }
+}

results/e5-large/MassiveIntentClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7",
+  "mteb_dataset_name": "MassiveIntentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "da": {
+      "accuracy": 0.42286482851378615,
+      "accuracy_stderr": 0.012383040984379165,
+      "f1": 0.4045450712997618,
+      "f1_stderr": 0.011450412901048949,
+      "main_score": 0.42286482851378615
+    },
+    "evaluation_time": 526.53,
+    "nb": {
+      "accuracy": 0.4063214525891056,
+      "accuracy_stderr": 0.014827865675936818,
+      "f1": 0.3789828222208245,
+      "f1_stderr": 0.012769924322664489,
+      "main_score": 0.4063214525891056
+    },
+    "sv": {
+      "accuracy": 0.4068594485541358,
+      "accuracy_stderr": 0.016741613025560997,
+      "f1": 0.3868424150540931,
+      "f1_stderr": 0.014421268110823617,
+      "main_score": 0.4068594485541358
+    }
+  },
+  "validation": {
+    "da": {
+      "accuracy": 0.42193802262666014,
+      "accuracy_stderr": 0.010585908699213985,
+      "f1": 0.39827047128659854,
+      "f1_stderr": 0.010040840264160085,
+      "main_score": 0.42193802262666014
+    },
+    "evaluation_time": 469.62,
+    "nb": {
+      "accuracy": 0.39163797343826856,
+      "accuracy_stderr": 0.012746913290575083,
+      "f1": 0.3589018215724903,
+      "f1_stderr": 0.014090109687736802,
+      "main_score": 0.39163797343826856
+    },
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+      "main_score": 0.40270536153467784
+    }
+  }
+}

results/e5-large/MassiveScenarioClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634",
+  "mteb_dataset_name": "MassiveScenarioClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+  "validation": {
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+    "evaluation_time": 264.09,
+    "nb": {
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+    },
+    "sv": {
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+      "f1_stderr": 0.013200788328562323,
+      "main_score": 0.5080177078209542
+    }
+  }
+}

results/e5-large/NoRecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "07b99ab3363c2e7f8f87015b01c21f4d9b917ce3",
+  "mteb_dataset_name": "NoRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "f1": 0.3960993062098541,
+    "f1_stderr": 0.014283859855597512,
+    "main_score": 0.418310546875
+  }
+}

results/e5-large/NordicLangClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "e254179d18ab0165fdb6dbef91178266222bee2a",
+  "mteb_dataset_name": "NordicLangClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "evaluation_time": 364.37,
+    "f1": 0.556416612372918,
+    "f1_stderr": 0.024345884708486788,
+    "main_score": 0.5829666666666667
+  }
+}

results/e5-large/NorwegianParliament.json

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "f7393532774c66312378d30b197610b43d751972",
+  "mteb_dataset_name": "NorwegianParliament",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "accuracy_stderr": 0.022473595617969102,
+    "ap": 0.5421311550575515,
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+    "f1": 0.5690528302549381,
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+    "main_score": 0.5725833333333334
+  },
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+    "ap": 0.5463382035986548,
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+    "evaluation_time": 1156.33,
+    "f1": 0.5753895676626989,
+    "f1_stderr": 0.030528398274240535,
+    "main_score": 0.5781666666666666
+  }
+}

results/e5-large/ScalaDaClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1de08520a7b361e92ffa2a2201ebd41942c54675",
+  "mteb_dataset_name": "ScalaDaClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "ap": 0.4994975402181119,
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+    "evaluation_time": 722.53,
+    "f1": 0.4973243378375657,
+    "f1_stderr": 0.003381182397789181,
+    "main_score": 0.498974609375
+  }
+}

results/e5-large/ScalaNbClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "237111a078ad5a834a55c57803d40bbe410ed03b",
+  "mteb_dataset_name": "ScalaNbClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "ap": 0.5006622235052816,
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+    "f1": 0.49493851513228365,
+    "f1_stderr": 0.008711845834406649,
+    "main_score": 0.50126953125
+  }
+}

results/e5-large/ScalaSvClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1b48e3dcb02872335ff985ff938a054a4ed99008",
+  "mteb_dataset_name": "ScalaSvClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "ap": 0.4992063849005556,
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+    "f1": 0.49411065609244,
+    "f1_stderr": 0.0050753509990883235,
+    "main_score": 0.49833984375
+  }
+}

results/e5-large/SweRecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
+  "mteb_dataset_name": "SweRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "evaluation_time": 477.42,
+    "f1": 0.5301196731263103,
+    "f1_stderr": 0.012139795101073433,
+    "main_score": 0.60087890625
+  }
+}

results/e5-small/AngryTweetsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.436007640878701,
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+    "evaluation_time": 32.67,
+    "f1": 0.42911866353028233,
+    "f1_stderr": 0.018644890106638213,
+    "main_score": 0.436007640878701
+  }
+}

results/e5-small/BornholmBitextMining.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "mteb_dataset_name": "BornholmBitextMining",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "evaluation_time": 5.19,
+    "f1": 0.4027064935064935,
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+    "precision": 0.37982467532467534,
+    "recall": 0.47
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+}

results/e5-small/DKHateClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "mteb_dataset_name": "DKHateClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "f1_stderr": 0.04666878188830251,
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+  }
+}

results/e5-small/DalajClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "DalajClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "ap": 0.4993237308818935,
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+    "evaluation_time": 23.49,
+    "f1": 0.4944401568286577,
+    "f1_stderr": 0.009348893113348399,
+    "main_score": 0.49853603603603613
+  }
+}

results/e5-small/DanishPoliticalCommentsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "mteb_dataset_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "train": {
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+    "accuracy_stderr": 0.02677181912000983,
+    "evaluation_time": 85.6,
+    "f1": 0.2531655139005612,
+    "f1_stderr": 0.0172219899584266,
+    "main_score": 0.28372189841798506
+  }
+}

results/e5-small/LccSentimentClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "mteb_dataset_name": "LccSentimentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "accuracy_stderr": 0.04697043987682277,
+    "evaluation_time": 11.97,
+    "f1": 0.3834992022087647,
+    "f1_stderr": 0.038043224748645146,
+    "main_score": 0.4026666666666666
+  }
+}

results/e5-small/MassiveIntentClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7",
+  "mteb_dataset_name": "MassiveIntentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+      "f1": 0.37856957810370473,
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+      "main_score": 0.4007061197041022
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+  "validation": {
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+      "f1": 0.37169393884824814,
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+    "evaluation_time": 224.51,
+    "nb": {
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+      "f1": 0.3580128917829644,
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+      "main_score": 0.38996556812592226
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+    "sv": {
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+      "f1": 0.36646972324933075,
+      "f1_stderr": 0.015617988216503663,
+      "main_score": 0.40009837678307913
+    }
+  }
+}

results/e5-small/MassiveScenarioClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634",
+  "mteb_dataset_name": "MassiveScenarioClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+      "f1": 0.47224689228546657,
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+    "evaluation_time": 101.9,
+    "nb": {
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+      "f1": 0.45651634870157637,
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+      "main_score": 0.4857767316745125
+    },
+    "sv": {
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+      "f1": 0.44281581197784325,
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+      "main_score": 0.4706455951580363
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+  "validation": {
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+    "evaluation_time": 89.1,
+    "nb": {
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+      "main_score": 0.4771765863256272
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+    "sv": {
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+      "main_score": 0.4689129365469749
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+  }
+}

results/e5-small/NoRecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "07b99ab3363c2e7f8f87015b01c21f4d9b917ce3",
+  "mteb_dataset_name": "NoRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.418359375,
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+    "evaluation_time": 39.2,
+    "f1": 0.3910501878638593,
+    "f1_stderr": 0.012803012731477874,
+    "main_score": 0.418359375
+  }
+}

results/e5-small/NordicLangClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "e254179d18ab0165fdb6dbef91178266222bee2a",
+  "mteb_dataset_name": "NordicLangClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5347333333333333,
+    "accuracy_stderr": 0.015105407420302617,
+    "evaluation_time": 58.29,
+    "f1": 0.5137160081212816,
+    "f1_stderr": 0.019860823827651492,
+    "main_score": 0.5347333333333333
+  }
+}

results/e5-small/NorwegianParliament.json

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "f7393532774c66312378d30b197610b43d751972",
+  "mteb_dataset_name": "NorwegianParliament",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "ap": 0.5375258937556727,
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+    "f1": 0.5621976821470727,
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+  "validation": {
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+    "f1": 0.5687807614437834,
+    "f1_stderr": 0.031248854067619233,
+    "main_score": 0.5720000000000001
+  }
+}

results/e5-small/ScalaDaClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1de08520a7b361e92ffa2a2201ebd41942c54675",
+  "mteb_dataset_name": "ScalaDaClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "ap": 0.5007564535242134,
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+    "evaluation_time": 35.44,
+    "f1": 0.49714680612943984,
+    "f1_stderr": 0.005960010796020731,
+    "main_score": 0.50146484375
+  }
+}

results/e5-small/ScalaNbClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "237111a078ad5a834a55c57803d40bbe410ed03b",
+  "mteb_dataset_name": "ScalaNbClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.500341796875,
+    "accuracy_stderr": 0.005362430869059241,
+    "ap": 0.5001974054036913,
+    "ap_stderr": 0.002687674959550601,
+    "evaluation_time": 34.66,
+    "f1": 0.4975895573014273,
+    "f1_stderr": 0.007651356339793306,
+    "main_score": 0.500341796875
+  }
+}