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mteb_results/no_model_name_available/no_revision_available/MassiveIntentClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "4672e20407010da34463acc759c162ca9734bca6",
+  "task_name": "MassiveIntentClassification",
+  "mteb_version": "1.39.7",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.419334,
+        "f1": 0.402175,
+        "f1_weighted": 0.415789,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.420646,
+            "f1": 0.402006,
+            "f1_weighted": 0.424951
+          },
+          {
+            "accuracy": 0.440484,
+            "f1": 0.415126,
+            "f1_weighted": 0.441004
+          },
+          {
+            "accuracy": 0.414593,
+            "f1": 0.396503,
+            "f1_weighted": 0.407357
+          },
+          {
+            "accuracy": 0.422327,
+            "f1": 0.401079,
+            "f1_weighted": 0.418653
+          },
+          {
+            "accuracy": 0.422999,
+            "f1": 0.392608,
+            "f1_weighted": 0.419387
+          },
+          {
+            "accuracy": 0.405851,
+            "f1": 0.402754,
+            "f1_weighted": 0.404155
+          },
+          {
+            "accuracy": 0.422663,
+            "f1": 0.411608,
+            "f1_weighted": 0.415686
+          },
+          {
+            "accuracy": 0.425353,
+            "f1": 0.400702,
+            "f1_weighted": 0.423592
+          },
+          {
+            "accuracy": 0.419301,
+            "f1": 0.407489,
+            "f1_weighted": 0.409879
+          },
+          {
+            "accuracy": 0.399126,
+            "f1": 0.391873,
+            "f1_weighted": 0.393228
+          }
+        ],
+        "main_score": 0.419334,
+        "hf_subset": "tr",
+        "languages": [
+          "tur-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 57.638965129852295,
+  "kg_co2_emissions": null
+}

mteb_results/no_model_name_available/no_revision_available/MassiveScenarioClassification.json

@@ -0,0 +1,73 @@
+{
+  "dataset_revision": "fad2c6e8459f9e1c45d9315f4953d921437d70f8",
+  "task_name": "MassiveScenarioClassification",
+  "mteb_version": "1.39.7",
+  "scores": {
+    "test": [
+      {
+        "accuracy": 0.485272,
+        "f1": 0.470251,
+        "f1_weighted": 0.471023,
+        "scores_per_experiment": [
+          {
+            "accuracy": 0.493611,
+            "f1": 0.468917,
+            "f1_weighted": 0.469961
+          },
+          {
+            "accuracy": 0.5,
+            "f1": 0.48134,
+            "f1_weighted": 0.479329
+          },
+          {
+            "accuracy": 0.482179,
+            "f1": 0.466865,
+            "f1_weighted": 0.47544
+          },
+          {
+            "accuracy": 0.503026,
+            "f1": 0.490317,
+            "f1_weighted": 0.494071
+          },
+          {
+            "accuracy": 0.490585,
+            "f1": 0.469985,
+            "f1_weighted": 0.470384
+          },
+          {
+            "accuracy": 0.456288,
+            "f1": 0.451651,
+            "f1_weighted": 0.436162
+          },
+          {
+            "accuracy": 0.50269,
+            "f1": 0.482129,
+            "f1_weighted": 0.497091
+          },
+          {
+            "accuracy": 0.487895,
+            "f1": 0.475093,
+            "f1_weighted": 0.474752
+          },
+          {
+            "accuracy": 0.48117,
+            "f1": 0.467025,
+            "f1_weighted": 0.472246
+          },
+          {
+            "accuracy": 0.455279,
+            "f1": 0.449187,
+            "f1_weighted": 0.440795
+          }
+        ],
+        "main_score": 0.485272,
+        "hf_subset": "tr",
+        "languages": [
+          "tur-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 30.173173189163208,
+  "kg_co2_emissions": null
+}

mteb_results/no_model_name_available/no_revision_available/STS22.json

@@ -0,0 +1,26 @@
+{
+  "dataset_revision": "de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3",
+  "task_name": "STS22",
+  "mteb_version": "1.39.7",
+  "scores": {
+    "test": [
+      {
+        "pearson": 0.112156,
+        "spearman": 0.287637,
+        "cosine_pearson": 0.112156,
+        "cosine_spearman": 0.287637,
+        "manhattan_pearson": 0.240747,
+        "manhattan_spearman": 0.291889,
+        "euclidean_pearson": 0.189282,
+        "euclidean_spearman": 0.287637,
+        "main_score": 0.287637,
+        "hf_subset": "tr",
+        "languages": [
+          "tur-Latn"
+        ]
+      }
+    ]
+  },
+  "evaluation_time": 3.0567941665649414,
+  "kg_co2_emissions": null
+}

mteb_results/results_summary.json

@@ -1,6 +1,6 @@
 {
   "repo_name": "Basar2004/turkish-sentence-encoder",
-  "timestamp": "2026-01-19T20:00:21.364365",
+  "timestamp": "2026-01-19T20:40:47.668090",
   "tasks": [
     "MassiveIntentClassification",
     "MassiveScenarioClassification",