Add missing results for French (#31)

- Add missing results (5e2004d3b0a4c0b39b4a955c4f0df21fffb7e0c4)


Co-authored-by: Imene Kerboua <imenelydiaker@users.noreply.huggingface.co>

results/paraphrase-multilingual-MiniLM-L12-v2/MassiveIntentClassification.json

@@ -10,6 +10,13 @@
       "f1": 0.5719052969420737,
       "f1_stderr": 0.010658104148977046,
       "main_score": 0.5943174176193678
+    },
+    "fr": {
+      "accuracy": 0.5751513113651648,
+      "accuracy_stderr": 0.019739330808084554,
+      "f1": 0.5523046479534983,
+      "f1_stderr": 0.019565605090496704,
+      "main_score": 0.5751513113651648
     }
   }
 }

results/paraphrase-multilingual-MiniLM-L12-v2/MassiveScenarioClassification.json

@@ -10,6 +10,13 @@
       "f1": 0.6457997326589723,
       "f1_stderr": 0.019460538209521996,
       "main_score": 0.6504371217215871
+    },
+    "fr": {
+      "accuracy": 0.6451916610625421,
+      "accuracy_stderr": 0.017556369249253807,
+      "f1": 0.6397670650302107,
+      "f1_stderr": 0.018203007308436978,
+      "main_score": 0.6451916610625421
     }
   }
 }

results/paraphrase-multilingual-MiniLM-L12-v2/STS22.json

@@ -17,6 +17,20 @@
         "pearson": 0.18802290623288662,
         "spearman": 0.32720834567221585
       }
+    },
+    "fr": {
+      "cos_sim": {
+        "pearson": 0.6876645443753925,
+        "spearman": 0.7054517669493489
+      },
+      "euclidean": {
+        "pearson": 0.6887349071501192,
+        "spearman": 0.7054517669493489
+      },
+      "manhattan": {
+        "pearson": 0.6878125039694886,
+        "spearman": 0.7134927441731664
+      }
     }
   }
 }

results/paraphrase-multilingual-mpnet-base-v2/MassiveIntentClassification.json

@@ -10,6 +10,13 @@
       "f1": 0.616942376654025,
       "f1_stderr": 0.01154911180505358,
       "main_score": 0.6429051782111633
+    },
+    "fr": {
+      "accuracy": 0.6187962340282447,
+      "accuracy_stderr": 0.015346336375965294,
+      "f1": 0.5930980931527273,
+      "f1_stderr": 0.013951896111200538,
+      "main_score": 0.6187962340282447
     }
   }
 }

results/paraphrase-multilingual-mpnet-base-v2/MassiveScenarioClassification.json

@@ -10,6 +10,13 @@
       "f1": 0.6868067367060983,
       "f1_stderr": 0.012743491596311203,
       "main_score": 0.6898453261600539
+    },
+    "fr": {
+      "accuracy": 0.678950907868191,
+      "accuracy_stderr": 0.013931200089692352,
+      "f1": 0.6799784896999377,
+      "f1_stderr": 0.013507015697804235,
+      "main_score": 0.678950907868191
     }
   }
 }

results/paraphrase-multilingual-mpnet-base-v2/STS22.json

@@ -17,6 +17,20 @@
         "pearson": 0.17487153889423696,
         "spearman": 0.29385036721704194
       }
+    },
+    "fr": {
+      "cos_sim": {
+        "pearson": 0.7218110510521758,
+        "spearman": 0.7430483195474878
+      },
+      "euclidean": {
+        "pearson": 0.713506902559743,
+        "spearman": 0.7430483195474878
+      },
+      "manhattan": {
+        "pearson": 0.7163030517164597,
+        "spearman": 0.7472570955048577
+      }
     }
   }
 }

results/sentence-t5-xxl/AmazonReviewsClassification.json

@@ -6,6 +6,13 @@
             "f1": 0.4548832592405988,
             "f1_stderr": 0.019829148494805587,
             "main_score": 0.48926
+        },        
+        "fr": {
+            "accuracy": 0.46088000000000007,
+            "accuracy_stderr": 0.017211902858196702,
+            "f1": 0.4264185814244663,
+            "f1_stderr": 0.02488062615048215,
+            "main_score": 0.46088000000000007
         },
         "evaluation_time": 1896.37
     },

results/sentence-t5-xxl/MTOPDomainClassification.json

@@ -7,6 +7,13 @@
             "f1_stderr": 0.013092896503399553,
             "main_score": 0.9249430004559963
         },
+        "fr": {
+            "accuracy": 0.8620106482931412,
+            "accuracy_stderr": 0.008921323498003793,
+            "f1": 0.8611709558129327,
+            "f1_stderr": 0.00851141668747865,
+            "main_score": 0.8620106482931412
+        },
         "evaluation_time": 416.07
     },
     "mteb_version": "0.0.2",

results/sentence-t5-xxl/MTOPIntentClassification.json

@@ -7,6 +7,13 @@
             "f1_stderr": 0.013081258889285574,
             "main_score": 0.683264933880529
         },
+        "fr": {
+            "accuracy": 0.5833385530848731,
+            "accuracy_stderr": 0.0227305071142759,
+            "f1": 0.42271947131722537,
+            "f1_stderr": 0.013817267193851573,
+            "main_score": 0.5833385530848731
+        },
         "evaluation_time": 479.68
     },
     "mteb_version": "0.0.2",

results/sentence-t5-xxl/MassiveIntentClassification.json

@@ -7,6 +7,13 @@
             "f1_stderr": 0.007824228028244548,
             "main_score": 0.7344317417619368
         },
+        "fr": {
+            "accuracy": 0.6590786819098857,
+            "accuracy_stderr": 0.013280243031299545,
+            "f1": 0.6238270977617771,
+            "f1_stderr": 0.013051814817156253,
+            "main_score": 0.6590786819098857
+        },
         "evaluation_time": 350.86
     },
     "mteb_version": "0.0.2",

results/sentence-t5-xxl/MassiveScenarioClassification.json

@@ -7,6 +7,13 @@
             "f1_stderr": 0.012690634519489478,
             "main_score": 0.7481842636180229
         },
+        "fr": {
+            "accuracy": 0.6853059852051111,
+            "accuracy_stderr": 0.015418661016383327,
+            "f1": 0.6812572021569442,
+            "f1_stderr": 0.014189310611148103,
+            "main_score": 0.6853059852051111
+        },
         "evaluation_time": 320.61
     },
     "mteb_version": "0.0.2",

results/sentence-t5-xxl/STS22.json

@@ -14,6 +14,20 @@
                 "spearman": 0.6586474519033438
             }
         },
+        "fr": {
+            "cos_sim": {
+              "pearson": 0.750938132766144,
+              "spearman": 0.7680240821366182
+            },
+            "euclidean": {
+              "pearson": 0.7473171169159765,
+              "spearman": 0.7680240821366182
+            },
+            "manhattan": {
+              "pearson": 0.7473231480609939,
+              "spearman": 0.7681791423034687
+            }
+        },
         "evaluation_time": 62.5
     },
     "mteb_version": "0.0.2",

results/text-embedding-ada-002/AmazonReviewsClassification.json

@@ -17,6 +17,13 @@
       "f1": 0.429266381272088,
       "f1_stderr": 0.018528639613560428,
       "main_score": 0.4478000000000001
+    },
+    "fr": {
+      "accuracy": 0.43764000000000003,
+      "accuracy_stderr": 0.01848108221939397,
+      "f1": 0.41730153006471193,
+      "f1_stderr": 0.01990112539123184,
+      "main_score": 0.43764000000000003
     }
   },
   "validation": {

results/text-embedding-ada-002/MTOPDomainClassification.json

@@ -10,6 +10,13 @@
       "f1_stderr": 0.00628709766087384,
       "main_score": 0.9212722298221614
     },
+    "fr": {
+      "accuracy": 0.8937676166614468,
+      "accuracy_stderr": 0.005242086051464493,
+      "f1": 0.8918839551737154,
+      "f1_stderr": 0.005827912335190611,
+      "main_score": 0.8937676166614468
+    },
     "evaluation_time": 81.07
   }
 }

results/text-embedding-ada-002/MTOPIntentClassification.json

@@ -10,6 +10,13 @@
       "f1_stderr": 0.009254421795011528,
       "main_score": 0.6468308253533971
     },
+    "fr": {
+      "accuracy": 0.6445349201378014,
+      "accuracy_stderr": 0.02596000279882305,
+      "f1": 0.45329324493064826,
+      "f1_stderr": 0.019660718408695918,
+      "main_score": 0.6445349201378014
+    },
     "evaluation_time": 186.91
   }
 }

results/text-embedding-ada-002/MassiveIntentClassification.json

@@ -17,6 +17,13 @@
       "f1": 0.6759342809572279,
       "f1_stderr": 0.01495992009622014,
       "main_score": 0.701546738399462
+    },
+    "fr": {
+      "accuracy": 0.654203093476799,
+      "accuracy_stderr": 0.017877617858126905,
+      "f1": 0.6233437055359021,
+      "f1_stderr": 0.016670689583976186,
+      "main_score": 0.654203093476799
     }
   },
   "validation": {

results/text-embedding-ada-002/MassiveScenarioClassification.json

@@ -17,6 +17,13 @@
       "f1": 0.7466678632951032,
       "f1_stderr": 0.01143026967111036,
       "main_score": 0.753261600537996
+    },
+    "fr": {
+      "accuracy": 0.7110961667787492,
+      "accuracy_stderr": 0.014012929591756285,
+      "f1": 0.7052417666719227,
+      "f1_stderr": 0.013563018661185906,
+      "main_score": 0.7110961667787492
     }
   },
   "validation": {

results/text-embedding-ada-002/STS22.json

@@ -45,6 +45,20 @@
         "pearson": 0.6084112755525339, 
         "spearman": 0.64498311459473
       }
+    },
+    "fr": {
+      "cos_sim": {
+        "pearson": 0.7941725570177687,
+        "spearman": 0.810931445449386
+      },
+      "euclidean": {
+        "pearson": 0.8069952449579254,
+        "spearman": 0.810931445449386
+      },
+      "manhattan": {
+        "pearson": 0.8064946486457454,
+        "spearman": 0.8111529599734582
+      }
     }
   }
 }

results/xlm-roberta-base/MassiveIntentClassification.json

@@ -24,6 +24,13 @@
       "f1": 0.4202125805260968,
       "f1_stderr": 0.010769282318607538,
       "main_score": 0.45117686617350367
+    },
+    "fr": {
+      "accuracy": 0.13581035642232683,
+      "accuracy_stderr": 0.016491524857694173,
+      "f1": 0.14614446238627393,
+      "f1_stderr": 0.013927468848973678,
+      "main_score": 0.13581035642232683
     }
   },
   "validation": {

results/xlm-roberta-base/MassiveScenarioClassification.json

@@ -24,6 +24,13 @@
       "f1": 0.46097644872017873,
       "f1_stderr": 0.022149804025228082,
       "main_score": 0.4735036987222595
+    },
+    "fr": {
+      "accuracy": 0.23214525891055815,
+      "accuracy_stderr": 0.032492086366805804,
+      "f1": 0.2137516225585256,
+      "f1_stderr": 0.03576007230430259,
+      "main_score": 0.23214525891055815
     }
   },
   "validation": {