Add nordic results

results.py

@@ -33,10 +33,16 @@ MODELS = [
     "all-MiniLM-L6-v2",
     "all-mpnet-base-v2",
     "allenai-specter",
+    "bert-base-swedish-cased",
     "bert-base-uncased",
     "contriever-base-msmarco",
     "cross-en-de-roberta-sentence-transformer",
+    "dfm-encoder-large-v1",
+    "dfm-sentence-encoder-large-1",
     "distiluse-base-multilingual-cased-v2",
+    "DanskBERT",
+    "electra-small-nordic",
+    "electra-small-swedish-cased-discriminator",
     "gbert-base",
     "gbert-large",
     "gelectra-base",
@@ -49,8 +55,13 @@ MODELS = [
     "gtr-t5-xxl",
     "komninos",
     "msmarco-bert-co-condensor",
+    "nb-bert-base",
+    "nb-bert-large",
+    "norbert3-base",
+    "norbert3-large",
     "paraphrase-multilingual-MiniLM-L12-v2",
     "paraphrase-multilingual-mpnet-base-v2",
+    "sentence-bert-swedish-cased",
     "sentence-t5-base",
     "sentence-t5-large",
     "sentence-t5-xl",
@@ -70,6 +81,7 @@ MODELS = [
     "text-search-davinci-001",
     "unsup-simcse-bert-base-uncased",
     "use-cmlm-multilingual",
+    "xlm-roberta-base",
     "xlm-roberta-large",
 ]
 

results/DanskBERT/AngryTweetsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5427889207258835,
+    "accuracy_stderr": 0.01993435732781835,
+    "evaluation_time": 32.51,
+    "f1": 0.5339328890266668,
+    "f1_stderr": 0.017878917919632555,
+    "main_score": 0.5427889207258835
+  }
+}

results/DanskBERT/BornholmBitextMining.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "mteb_dataset_name": "BornholmBitextMining",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.09,
+    "evaluation_time": 13.65,
+    "f1": 0.06338898363570435,
+    "main_score": 0.06338898363570435,
+    "precision": 0.059330365960386246,
+    "recall": 0.09
+  }
+}

results/DanskBERT/DKHateClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "mteb_dataset_name": "DKHateClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5930091185410334,
+    "accuracy_stderr": 0.09222758041789648,
+    "ap": 0.8946529290076611,
+    "ap_stderr": 0.011813322596830038,
+    "evaluation_time": 34.66,
+    "f1": 0.48968337481112795,
+    "f1_stderr": 0.06219457537723159,
+    "main_score": 0.5930091185410334
+  }
+}

results/DanskBERT/DalajClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "DalajClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5031531531531531,
+    "accuracy_stderr": 0.005868835234592509,
+    "ap": 0.5016233522210309,
+    "ap_stderr": 0.002961416663478842,
+    "evaluation_time": 27.67,
+    "f1": 0.5006833169570167,
+    "f1_stderr": 0.0058928047682858435,
+    "main_score": 0.5031531531531531
+  }
+}

results/DanskBERT/DanishPoliticalCommentsClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "mteb_dataset_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "train": {
+    "accuracy": 0.3981265611990008,
+    "accuracy_stderr": 0.02927618530034054,
+    "evaluation_time": 81.08,
+    "f1": 0.3652691159014313,
+    "f1_stderr": 0.02154097328963034,
+    "main_score": 0.3981265611990008
+  }
+}

results/DanskBERT/LccSentimentClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "mteb_dataset_name": "LccSentimentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.58,
+    "accuracy_stderr": 0.040879225911349036,
+    "evaluation_time": 10.96,
+    "f1": 0.5646156675447656,
+    "f1_stderr": 0.03460749732787966,
+    "main_score": 0.58
+  }
+}

results/DanskBERT/MassiveIntentClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7",
+  "mteb_dataset_name": "MassiveIntentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "da": {
+      "accuracy": 0.5468392737054472,
+      "accuracy_stderr": 0.011536817088604236,
+      "f1": 0.5039000994078626,
+      "f1_stderr": 0.006389390451655079,
+      "main_score": 0.5468392737054472
+    },
+    "evaluation_time": 207.42,
+    "nb": {
+      "accuracy": 0.45379959650302626,
+      "accuracy_stderr": 0.012549015365232539,
+      "f1": 0.4271217484445252,
+      "f1_stderr": 0.011229470448672847,
+      "main_score": 0.45379959650302626
+    },
+    "sv": {
+      "accuracy": 0.40817081371889713,
+      "accuracy_stderr": 0.006134927155520256,
+      "f1": 0.3841954212578219,
+      "f1_stderr": 0.008971093419384164,
+      "main_score": 0.40817081371889713
+    }
+  },
+  "validation": {
+    "da": {
+      "accuracy": 0.5582390555828824,
+      "accuracy_stderr": 0.011006445314683956,
+      "f1": 0.5151428356070841,
+      "f1_stderr": 0.008861586598311164,
+      "main_score": 0.5582390555828824
+    },
+    "evaluation_time": 189.86,
+    "nb": {
+      "accuracy": 0.46242006886374815,
+      "accuracy_stderr": 0.013734839963464364,
+      "f1": 0.43005970598528265,
+      "f1_stderr": 0.013601150407790828,
+      "main_score": 0.46242006886374815
+    },
+    "sv": {
+      "accuracy": 0.4048696507624201,
+      "accuracy_stderr": 0.009431994322367262,
+      "f1": 0.38552685366886996,
+      "f1_stderr": 0.007369118783426967,
+      "main_score": 0.4048696507624201
+    }
+  }
+}

results/DanskBERT/MassiveScenarioClassification.json

@@ -0,0 +1,53 @@
+{
+  "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634",
+  "mteb_dataset_name": "MassiveScenarioClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "da": {
+      "accuracy": 0.5955615332885004,
+      "accuracy_stderr": 0.01577699539582055,
+      "f1": 0.5794034655925369,
+      "f1_stderr": 0.013384379870283205,
+      "main_score": 0.5955615332885004
+    },
+    "evaluation_time": 95.61,
+    "nb": {
+      "accuracy": 0.47552118359112316,
+      "accuracy_stderr": 0.018872921265933037,
+      "f1": 0.4640926498110063,
+      "f1_stderr": 0.01476824680252287,
+      "main_score": 0.47552118359112316
+    },
+    "sv": {
+      "accuracy": 0.40141223940820436,
+      "accuracy_stderr": 0.01808423841391776,
+      "f1": 0.3822692785842296,
+      "f1_stderr": 0.013452966848637938,
+      "main_score": 0.40141223940820436
+    }
+  },
+  "validation": {
+    "da": {
+      "accuracy": 0.594392523364486,
+      "accuracy_stderr": 0.01934448803580611,
+      "f1": 0.5796578284338747,
+      "f1_stderr": 0.01787448188066123,
+      "main_score": 0.594392523364486
+    },
+    "evaluation_time": 75.72,
+    "nb": {
+      "accuracy": 0.4664043285784555,
+      "accuracy_stderr": 0.018904987337221752,
+      "f1": 0.4617714246937276,
+      "f1_stderr": 0.013988693425569182,
+      "main_score": 0.4664043285784555
+    },
+    "sv": {
+      "accuracy": 0.39596655189375307,
+      "accuracy_stderr": 0.015554735170528184,
+      "f1": 0.379545671770527,
+      "f1_stderr": 0.013408542819112435,
+      "main_score": 0.39596655189375307
+    }
+  }
+}

results/DanskBERT/NoRecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "07b99ab3363c2e7f8f87015b01c21f4d9b917ce3",
+  "mteb_dataset_name": "NoRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.460595703125,
+    "accuracy_stderr": 0.02193578721014052,
+    "evaluation_time": 36.11,
+    "f1": 0.43854924377503063,
+    "f1_stderr": 0.016858535482613627,
+    "main_score": 0.460595703125
+  }
+}

results/DanskBERT/NordicLangClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "e254179d18ab0165fdb6dbef91178266222bee2a",
+  "mteb_dataset_name": "NordicLangClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.7424666666666666,
+    "accuracy_stderr": 0.012513281832605807,
+    "evaluation_time": 82.57,
+    "f1": 0.7379219364810606,
+    "f1_stderr": 0.012082505150569824,
+    "main_score": 0.7424666666666666
+  }
+}

results/DanskBERT/NorwegianParliament.json

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "f7393532774c66312378d30b197610b43d751972",
+  "mteb_dataset_name": "NorwegianParliament",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5679166666666666,
+    "accuracy_stderr": 0.029674741410461815,
+    "ap": 0.539603032753131,
+    "ap_stderr": 0.01869489598457436,
+    "evaluation_time": 230.39,
+    "f1": 0.5666235749808163,
+    "f1_stderr": 0.0296227793144478,
+    "main_score": 0.5679166666666666
+  },
+  "validation": {
+    "accuracy": 0.5728333333333333,
+    "accuracy_stderr": 0.02726719640887195,
+    "ap": 0.5427835002745661,
+    "ap_stderr": 0.01766074252735676,
+    "evaluation_time": 247.74,
+    "f1": 0.5714697907489126,
+    "f1_stderr": 0.026460942004883435,
+    "main_score": 0.5728333333333333
+  }
+}

results/DanskBERT/ScalaDaClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1de08520a7b361e92ffa2a2201ebd41942c54675",
+  "mteb_dataset_name": "ScalaDaClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.66591796875,
+    "accuracy_stderr": 0.019314964556917027,
+    "ap": 0.6179104217471408,
+    "ap_stderr": 0.021368618593014095,
+    "evaluation_time": 32.34,
+    "f1": 0.6616198709006833,
+    "f1_stderr": 0.017917908374838355,
+    "main_score": 0.66591796875
+  }
+}

results/DanskBERT/ScalaNbClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "237111a078ad5a834a55c57803d40bbe410ed03b",
+  "mteb_dataset_name": "ScalaNbClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.59990234375,
+    "accuracy_stderr": 0.02391900414221448,
+    "ap": 0.5608231549243188,
+    "ap_stderr": 0.016255913124253032,
+    "evaluation_time": 32.38,
+    "f1": 0.5990010371256689,
+    "f1_stderr": 0.024566392985160047,
+    "main_score": 0.59990234375
+  }
+}

results/DanskBERT/ScalaSvClassification.json

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1b48e3dcb02872335ff985ff938a054a4ed99008",
+  "mteb_dataset_name": "ScalaSvClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.537939453125,
+    "accuracy_stderr": 0.03139997732805539,
+    "ap": 0.5213109065272618,
+    "ap_stderr": 0.018150283855429068,
+    "evaluation_time": 39.93,
+    "f1": 0.5357569438251415,
+    "f1_stderr": 0.03126635766907699,
+    "main_score": 0.537939453125
+  }
+}

results/DanskBERT/SwerecClassification.json

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
+  "mteb_dataset_name": "SwerecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.619482421875,
+    "accuracy_stderr": 0.020710321291315156,
+    "evaluation_time": 143.39,
+    "f1": 0.5558447995104121,
+    "f1_stderr": 0.021773450519163632,
+    "main_score": 0.619482421875
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.42492836676217766,
+    "accuracy_stderr": 0.025562172565760207,
+    "evaluation_time": 11.79,
+    "f1": 0.4146959958482899,
+    "f1_stderr": 0.018608050832297794,
+    "main_score": 0.42492836676217766
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "mteb_dataset_name": "BornholmBitextMining",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.36,
+    "evaluation_time": 3.48,
+    "f1": 0.2968132161955691,
+    "main_score": 0.2968132161955691,
+    "precision": 0.27690919913419915,
+    "recall": 0.36
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "mteb_dataset_name": "DKHateClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5504559270516718,
+    "accuracy_stderr": 0.08179003177509295,
+    "ap": 0.1339388090920717,
+    "ap_stderr": 0.011425193008238908,
+    "evaluation_time": 8.1,
+    "f1": 0.4487544754943351,
+    "f1_stderr": 0.04439449341359171,
+    "main_score": 0.5504559270516718
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "DalajClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.49898648648648647,
+    "accuracy_stderr": 0.009521594515282868,
+    "ap": 0.4995893380614416,
+    "ap_stderr": 0.004686992032945654,
+    "evaluation_time": 8.53,
+    "f1": 0.49645260794205,
+    "f1_stderr": 0.010845998499157633,
+    "main_score": 0.49898648648648647
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "mteb_dataset_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "train": {
+    "accuracy": 0.2696269982238011,
+    "accuracy_stderr": 0.02164496501945602,
+    "evaluation_time": 33.56,
+    "f1": 0.2394547042365672,
+    "f1_stderr": 0.014135416015409444,
+    "main_score": 0.2696269982238011
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "mteb_dataset_name": "LccSentimentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.3846666666666666,
+    "accuracy_stderr": 0.03664241622309678,
+    "evaluation_time": 3.74,
+    "f1": 0.3650136884557438,
+    "f1_stderr": 0.03540233062350939,
+    "main_score": 0.3846666666666666
+  }
+}

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

@@ -7,9 +7,54 @@
             "f1_stderr": 0.01101873248863987,
             "main_score": 0.6740416946872899
         },
+        "da": {
+            "accuracy": 0.4098520511096167,
+            "accuracy_stderr": 0.013546600921886436,
+            "f1": 0.39031952711786977,
+            "f1_stderr": 0.01465861207914092,
+            "main_score": 0.4098520511096167
+        },
+        "nb": {
+            "accuracy": 0.3934431741761937,
+            "accuracy_stderr": 0.010632494048802496,
+            "f1": 0.3725650363380114,
+            "f1_stderr": 0.0047186150764588165,
+            "main_score": 0.3934431741761937
+        },
+        "sv": {
+            "accuracy": 0.38103564223268327,
+            "accuracy_stderr": 0.015896221776346243,
+            "f1": 0.36129998730373103,
+            "f1_stderr": 0.009758357654155333,
+            "main_score": 0.38103564223268327
+        },
         "evaluation_time": 20.8
     },
-    "mteb_version": "0.0.2",
+    "validation": {
+        "da": {
+          "accuracy": 0.396212493851451,
+          "accuracy_stderr": 0.016305413904394876,
+          "f1": 0.37526615524002804,
+          "f1_stderr": 0.016303136707962292,
+          "main_score": 0.396212493851451
+        },
+        "evaluation_time": 77.55,
+        "nb": {
+          "accuracy": 0.38145597638957207,
+          "accuracy_stderr": 0.008588270625147559,
+          "f1": 0.3557170505087034,
+          "f1_stderr": 0.008932333735728392,
+          "main_score": 0.38145597638957207
+        },
+        "sv": {
+          "accuracy": 0.37968519429414654,
+          "accuracy_stderr": 0.01211163638368146,
+          "f1": 0.3555505582605072,
+          "f1_stderr": 0.00793761524455261,
+          "main_score": 0.37968519429414654
+        }
+    },
+    "mteb_version": "1.0.3.dev0",
     "mteb_dataset_name": "MassiveIntentClassification",
-    "dataset_revision": "072a486a144adf7f4479a4a0dddb2152e161e1ea"
+    "dataset_revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7"
 }

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

@@ -7,9 +7,54 @@
             "f1_stderr": 0.0116798506229795,
             "main_score": 0.7575655682582381
         },
+        "da": {
+            "accuracy": 0.47007397444519167,
+            "accuracy_stderr": 0.016525460362257268,
+            "f1": 0.44591837506202986,
+            "f1_stderr": 0.011715003849608418,
+            "main_score": 0.47007397444519167
+        },
+        "nb": {
+            "accuracy": 0.44670477471418957,
+            "accuracy_stderr": 0.01725133080004754,
+            "f1": 0.42175654729028544,
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         "evaluation_time": 17.89
     },
-    "mteb_version": "0.0.2",
+    "validation": {
+        "da": {
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+        "nb": {
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+        },
+        "sv": {
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+          "accuracy_stderr": 0.021686224117471994,
+          "f1": 0.4083151156205155,
+          "f1_stderr": 0.01881794915834628,
+          "main_score": 0.429021151008362
+        }
+    },    
+    "mteb_version": "1.0.3.dev0",
     "mteb_dataset_name": "MassiveScenarioClassification",
     "dataset_revision": "7d571f92784cd94a019292a1f45445077d0ef634"
 }

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "07b99ab3363c2e7f8f87015b01c21f4d9b917ce3",
+  "mteb_dataset_name": "NoRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.4001953125,
+    "accuracy_stderr": 0.02129286985736529,
+    "evaluation_time": 11.55,
+    "f1": 0.3800296115219944,
+    "f1_stderr": 0.016433278119896217,
+    "main_score": 0.4001953125
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "e254179d18ab0165fdb6dbef91178266222bee2a",
+  "mteb_dataset_name": "NordicLangClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5471,
+    "accuracy_stderr": 0.019781051539288805,
+    "evaluation_time": 20.1,
+    "f1": 0.5337340133025357,
+    "f1_stderr": 0.021836739801343485,
+    "main_score": 0.5471
+  }
+}

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

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "f7393532774c66312378d30b197610b43d751972",
+  "mteb_dataset_name": "NorwegianParliament",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.548,
+    "accuracy_stderr": 0.024218909049656952,
+    "ap": 0.5271332062355649,
+    "ap_stderr": 0.014648312153288252,
+    "evaluation_time": 35.46,
+    "f1": 0.5465938348735246,
+    "f1_stderr": 0.022992567784370865,
+    "main_score": 0.548
+  },
+  "validation": {
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+    "accuracy_stderr": 0.03167773929223275,
+    "ap": 0.5358471090493995,
+    "ap_stderr": 0.02036818966895372,
+    "evaluation_time": 35.8,
+    "f1": 0.5596622220610591,
+    "f1_stderr": 0.03076837885753835,
+    "main_score": 0.5610833333333333
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1de08520a7b361e92ffa2a2201ebd41942c54675",
+  "mteb_dataset_name": "ScalaDaClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "accuracy_stderr": 0.00619193763738963,
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+    "ap_stderr": 0.0031046569373535055,
+    "evaluation_time": 12.3,
+    "f1": 0.49707836995043886,
+    "f1_stderr": 0.0056844458165261,
+    "main_score": 0.500341796875
+  }
+}

results/all-MiniLM-L6-v2/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": 0.5008894270087827,
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+    "f1": 0.4975764910012903,
+    "f1_stderr": 0.0057738834379346465,
+    "main_score": 0.501708984375
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1b48e3dcb02872335ff985ff938a054a4ed99008",
+  "mteb_dataset_name": "ScalaSvClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "accuracy_stderr": 0.004620905532937882,
+    "ap": 0.49973047923031955,
+    "ap_stderr": 0.002309036685793766,
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+    "f1": 0.49683291347295633,
+    "f1_stderr": 0.004218877367923389,
+    "main_score": 0.4994140625
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
+  "mteb_dataset_name": "SwerecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "accuracy_stderr": 0.0200147669635808,
+    "evaluation_time": 32.27,
+    "f1": 0.5383846800461662,
+    "f1_stderr": 0.01947712920967888,
+    "main_score": 0.6083984375
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.4458452722063037,
+    "accuracy_stderr": 0.028880980134025704,
+    "evaluation_time": 36.3,
+    "f1": 0.4353629739721945,
+    "f1_stderr": 0.029111483185951324,
+    "main_score": 0.4458452722063037
+  }
+}

results/bert-base-swedish-cased/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": 9.85,
+    "f1": 0.06602699130934425,
+    "main_score": 0.06602699130934425,
+    "precision": 0.0603645764405845,
+    "recall": 0.092
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "59d12749a3c91a186063c7d729ec392fda94681c",
+  "mteb_dataset_name": "DKHateClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5553191489361702,
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+    "ap": 0.14138288673519145,
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+    "f1": 0.45947587346589847,
+    "f1_stderr": 0.058762937812424136,
+    "main_score": 0.5553191489361702
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "DalajClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5176801801801801,
+    "accuracy_stderr": 0.028431283803400806,
+    "ap": 0.5101123206773084,
+    "ap_stderr": 0.015255890577832387,
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+    "f1": 0.5152889708732695,
+    "f1_stderr": 0.029514988893198382,
+    "main_score": 0.5176801801801801
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "edbb03726c04a0efab14fc8c3b8b79e4d420e5a1",
+  "mteb_dataset_name": "DanishPoliticalCommentsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "train": {
+    "accuracy": 0.28972024866785084,
+    "accuracy_stderr": 0.019830922542745974,
+    "evaluation_time": 113.09,
+    "f1": 0.2568525534958728,
+    "f1_stderr": 0.009279289648007597,
+    "main_score": 0.28972024866785084
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "de7ba3406ee55ea2cc52a0a41408fa6aede6d3c6",
+  "mteb_dataset_name": "LccSentimentClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.41200000000000003,
+    "accuracy_stderr": 0.06469071717711042,
+    "evaluation_time": 13.74,
+    "f1": 0.3942888799816736,
+    "f1_stderr": 0.05673115864109014,
+    "main_score": 0.41200000000000003
+  }
+}

results/bert-base-swedish-cased/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": 0.4917374109552649,
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+  "validation": {
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+    "nb": {
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+      "main_score": 0.366699458927693
+    },
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+      "main_score": 0.5293654697491392
+    }
+  }
+}

results/bert-base-swedish-cased/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": 0.3723288747252761,
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+    "nb": {
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+      "f1": 0.3412599346756071,
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+      "main_score": 0.35763281775386685
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+    "sv": {
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+  },
+  "validation": {
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+    "evaluation_time": 79.78,
+    "nb": {
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+      "f1": 0.33753794511461643,
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+      "main_score": 0.35125430398425966
+    },
+    "sv": {
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+      "f1": 0.5479549119696884,
+      "f1_stderr": 0.02461664558075998,
+      "main_score": 0.5571077225774717
+    }
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "07b99ab3363c2e7f8f87015b01c21f4d9b917ce3",
+  "mteb_dataset_name": "NoRecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.4390625,
+    "accuracy_stderr": 0.028534013227877218,
+    "evaluation_time": 37.11,
+    "f1": 0.4202061121201135,
+    "f1_stderr": 0.024742648756657316,
+    "main_score": 0.4390625
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "e254179d18ab0165fdb6dbef91178266222bee2a",
+  "mteb_dataset_name": "NordicLangClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.6245,
+    "accuracy_stderr": 0.01292306293243035,
+    "evaluation_time": 77.67,
+    "f1": 0.621903954791346,
+    "f1_stderr": 0.012823268129236837,
+    "main_score": 0.6245
+  }
+}

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

@@ -0,0 +1,25 @@
+{
+  "dataset_revision": "f7393532774c66312378d30b197610b43d751972",
+  "mteb_dataset_name": "NorwegianParliament",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5755833333333334,
+    "accuracy_stderr": 0.0293731973442154,
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+    "f1": 0.5723464665881223,
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+    "f1": 0.5759161391268088,
+    "f1_stderr": 0.01648544668375403,
+    "main_score": 0.57925
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1de08520a7b361e92ffa2a2201ebd41942c54675",
+  "mteb_dataset_name": "ScalaDaClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "f1": 0.5317564506131404,
+    "f1_stderr": 0.015658989073144235,
+    "main_score": 0.535302734375
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "237111a078ad5a834a55c57803d40bbe410ed03b",
+  "mteb_dataset_name": "ScalaNbClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "f1": 0.5337152569584676,
+    "f1_stderr": 0.01295236142071566,
+    "main_score": 0.536279296875
+  }
+}

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

@@ -0,0 +1,15 @@
+{
+  "dataset_revision": "1b48e3dcb02872335ff985ff938a054a4ed99008",
+  "mteb_dataset_name": "ScalaSvClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "accuracy_stderr": 0.03894051387383141,
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+    "f1": 0.6040820549557981,
+    "f1_stderr": 0.042546675006439924,
+    "main_score": 0.606884765625
+  }
+}

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

@@ -0,0 +1,38 @@
+{
+  "dataset_revision": "7ebf0b4caa7b2ae39698a889de782c09e6f5ee56",
+  "mteb_dataset_name": "SweFAQRetrieval",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
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+    "map_at_5": 0.0,
+    "mrr_at_1": 0.0,
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+    "mrr_at_100": 0.0,
+    "mrr_at_1000": 0.0,
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+    "ndcg_at_10": 0.0,
+    "ndcg_at_100": 0.0,
+    "ndcg_at_1000": 0.0,
+    "ndcg_at_3": 0.0,
+    "ndcg_at_5": 0.0,
+    "precision_at_1": 0.0,
+    "precision_at_10": 0.0,
+    "precision_at_100": 0.0,
+    "precision_at_1000": 0.0,
+    "precision_at_3": 0.0,
+    "precision_at_5": 0.0,
+    "recall_at_1": 0.0,
+    "recall_at_10": 0.0,
+    "recall_at_100": 0.0,
+    "recall_at_1000": 0.0,
+    "recall_at_3": 0.0,
+    "recall_at_5": 0.0
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3c62f26bafdc4c4e1c16401ad4b32f0a94b46612",
+  "mteb_dataset_name": "SwerecClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.6984375,
+    "accuracy_stderr": 0.033370156611782956,
+    "evaluation_time": 115.72,
+    "f1": 0.6401058854724648,
+    "f1_stderr": 0.031149126296143328,
+    "main_score": 0.6984375
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "20b0e6081892e78179356fada741b7afa381443d",
+  "mteb_dataset_name": "AngryTweetsClassification",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.5380133715377269,
+    "accuracy_stderr": 0.028188040634955128,
+    "evaluation_time": 98.1,
+    "f1": 0.5278713940222668,
+    "f1_stderr": 0.025453796294134995,
+    "main_score": 0.5380133715377269
+  }
+}

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

@@ -0,0 +1,13 @@
+{
+  "dataset_revision": "3bc5cfb4ec514264fe2db5615fac9016f7251552",
+  "mteb_dataset_name": "BornholmBitextMining",
+  "mteb_version": "1.0.3.dev0",
+  "test": {
+    "accuracy": 0.166,
+    "evaluation_time": 32.52,
+    "f1": 0.11648071969709954,
+    "main_score": 0.11648071969709954,
+    "precision": 0.1041448634080987,
+    "recall": 0.166
+  }
+}