Update README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,726 @@ tags:
|
|
| 5 |
- sentence-transformers
|
| 6 |
- feature-extraction
|
| 7 |
- sentence-similarity
|
| 8 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
# {MODEL_NAME}
|
|
|
|
| 5 |
- sentence-transformers
|
| 6 |
- feature-extraction
|
| 7 |
- sentence-similarity
|
| 8 |
+
- mteb
|
| 9 |
+
model-index:
|
| 10 |
+
- name: bge-m3-custom-fr
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
type: Clustering
|
| 14 |
+
dataset:
|
| 15 |
+
type: lyon-nlp/alloprof
|
| 16 |
+
name: MTEB AlloProfClusteringP2P
|
| 17 |
+
config: default
|
| 18 |
+
split: test
|
| 19 |
+
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
|
| 20 |
+
metrics:
|
| 21 |
+
- type: v_measure
|
| 22 |
+
value: 56.727459716713
|
| 23 |
+
- task:
|
| 24 |
+
type: Clustering
|
| 25 |
+
dataset:
|
| 26 |
+
type: lyon-nlp/alloprof
|
| 27 |
+
name: MTEB AlloProfClusteringS2S
|
| 28 |
+
config: default
|
| 29 |
+
split: test
|
| 30 |
+
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
|
| 31 |
+
metrics:
|
| 32 |
+
- type: v_measure
|
| 33 |
+
value: 38.19920006179227
|
| 34 |
+
- task:
|
| 35 |
+
type: Reranking
|
| 36 |
+
dataset:
|
| 37 |
+
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
|
| 38 |
+
name: MTEB AlloprofReranking
|
| 39 |
+
config: default
|
| 40 |
+
split: test
|
| 41 |
+
revision: e40c8a63ce02da43200eccb5b0846fcaa888f562
|
| 42 |
+
metrics:
|
| 43 |
+
- type: map
|
| 44 |
+
value: 65.17465797499942
|
| 45 |
+
- type: mrr
|
| 46 |
+
value: 66.51400197384653
|
| 47 |
+
- task:
|
| 48 |
+
type: Retrieval
|
| 49 |
+
dataset:
|
| 50 |
+
type: lyon-nlp/alloprof
|
| 51 |
+
name: MTEB AlloprofRetrieval
|
| 52 |
+
config: default
|
| 53 |
+
split: test
|
| 54 |
+
revision: 2df7bee4080bedf2e97de3da6bd5c7bc9fc9c4d2
|
| 55 |
+
metrics:
|
| 56 |
+
- type: map_at_1
|
| 57 |
+
value: 29.836000000000002
|
| 58 |
+
- type: map_at_10
|
| 59 |
+
value: 39.916000000000004
|
| 60 |
+
- type: map_at_100
|
| 61 |
+
value: 40.816
|
| 62 |
+
- type: map_at_1000
|
| 63 |
+
value: 40.877
|
| 64 |
+
- type: map_at_3
|
| 65 |
+
value: 37.294
|
| 66 |
+
- type: map_at_5
|
| 67 |
+
value: 38.838
|
| 68 |
+
- type: mrr_at_1
|
| 69 |
+
value: 29.836000000000002
|
| 70 |
+
- type: mrr_at_10
|
| 71 |
+
value: 39.916000000000004
|
| 72 |
+
- type: mrr_at_100
|
| 73 |
+
value: 40.816
|
| 74 |
+
- type: mrr_at_1000
|
| 75 |
+
value: 40.877
|
| 76 |
+
- type: mrr_at_3
|
| 77 |
+
value: 37.294
|
| 78 |
+
- type: mrr_at_5
|
| 79 |
+
value: 38.838
|
| 80 |
+
- type: ndcg_at_1
|
| 81 |
+
value: 29.836000000000002
|
| 82 |
+
- type: ndcg_at_10
|
| 83 |
+
value: 45.097
|
| 84 |
+
- type: ndcg_at_100
|
| 85 |
+
value: 49.683
|
| 86 |
+
- type: ndcg_at_1000
|
| 87 |
+
value: 51.429
|
| 88 |
+
- type: ndcg_at_3
|
| 89 |
+
value: 39.717
|
| 90 |
+
- type: ndcg_at_5
|
| 91 |
+
value: 42.501
|
| 92 |
+
- type: precision_at_1
|
| 93 |
+
value: 29.836000000000002
|
| 94 |
+
- type: precision_at_10
|
| 95 |
+
value: 6.149
|
| 96 |
+
- type: precision_at_100
|
| 97 |
+
value: 0.8340000000000001
|
| 98 |
+
- type: precision_at_1000
|
| 99 |
+
value: 0.097
|
| 100 |
+
- type: precision_at_3
|
| 101 |
+
value: 15.576
|
| 102 |
+
- type: precision_at_5
|
| 103 |
+
value: 10.698
|
| 104 |
+
- type: recall_at_1
|
| 105 |
+
value: 29.836000000000002
|
| 106 |
+
- type: recall_at_10
|
| 107 |
+
value: 61.485
|
| 108 |
+
- type: recall_at_100
|
| 109 |
+
value: 83.428
|
| 110 |
+
- type: recall_at_1000
|
| 111 |
+
value: 97.461
|
| 112 |
+
- type: recall_at_3
|
| 113 |
+
value: 46.727000000000004
|
| 114 |
+
- type: recall_at_5
|
| 115 |
+
value: 53.489
|
| 116 |
+
- task:
|
| 117 |
+
type: Classification
|
| 118 |
+
dataset:
|
| 119 |
+
type: mteb/amazon_reviews_multi
|
| 120 |
+
name: MTEB AmazonReviewsClassification (fr)
|
| 121 |
+
config: fr
|
| 122 |
+
split: test
|
| 123 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 124 |
+
metrics:
|
| 125 |
+
- type: accuracy
|
| 126 |
+
value: 42.332
|
| 127 |
+
- type: f1
|
| 128 |
+
value: 40.801800929404344
|
| 129 |
+
- task:
|
| 130 |
+
type: Retrieval
|
| 131 |
+
dataset:
|
| 132 |
+
type: maastrichtlawtech/bsard
|
| 133 |
+
name: MTEB BSARDRetrieval
|
| 134 |
+
config: default
|
| 135 |
+
split: test
|
| 136 |
+
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
|
| 137 |
+
metrics:
|
| 138 |
+
- type: map_at_1
|
| 139 |
+
value: 0.0
|
| 140 |
+
- type: map_at_10
|
| 141 |
+
value: 0.0
|
| 142 |
+
- type: map_at_100
|
| 143 |
+
value: 0.011000000000000001
|
| 144 |
+
- type: map_at_1000
|
| 145 |
+
value: 0.018000000000000002
|
| 146 |
+
- type: map_at_3
|
| 147 |
+
value: 0.0
|
| 148 |
+
- type: map_at_5
|
| 149 |
+
value: 0.0
|
| 150 |
+
- type: mrr_at_1
|
| 151 |
+
value: 0.0
|
| 152 |
+
- type: mrr_at_10
|
| 153 |
+
value: 0.0
|
| 154 |
+
- type: mrr_at_100
|
| 155 |
+
value: 0.011000000000000001
|
| 156 |
+
- type: mrr_at_1000
|
| 157 |
+
value: 0.018000000000000002
|
| 158 |
+
- type: mrr_at_3
|
| 159 |
+
value: 0.0
|
| 160 |
+
- type: mrr_at_5
|
| 161 |
+
value: 0.0
|
| 162 |
+
- type: ndcg_at_1
|
| 163 |
+
value: 0.0
|
| 164 |
+
- type: ndcg_at_10
|
| 165 |
+
value: 0.0
|
| 166 |
+
- type: ndcg_at_100
|
| 167 |
+
value: 0.13999999999999999
|
| 168 |
+
- type: ndcg_at_1000
|
| 169 |
+
value: 0.457
|
| 170 |
+
- type: ndcg_at_3
|
| 171 |
+
value: 0.0
|
| 172 |
+
- type: ndcg_at_5
|
| 173 |
+
value: 0.0
|
| 174 |
+
- type: precision_at_1
|
| 175 |
+
value: 0.0
|
| 176 |
+
- type: precision_at_10
|
| 177 |
+
value: 0.0
|
| 178 |
+
- type: precision_at_100
|
| 179 |
+
value: 0.009000000000000001
|
| 180 |
+
- type: precision_at_1000
|
| 181 |
+
value: 0.004
|
| 182 |
+
- type: precision_at_3
|
| 183 |
+
value: 0.0
|
| 184 |
+
- type: precision_at_5
|
| 185 |
+
value: 0.0
|
| 186 |
+
- type: recall_at_1
|
| 187 |
+
value: 0.0
|
| 188 |
+
- type: recall_at_10
|
| 189 |
+
value: 0.0
|
| 190 |
+
- type: recall_at_100
|
| 191 |
+
value: 0.901
|
| 192 |
+
- type: recall_at_1000
|
| 193 |
+
value: 3.604
|
| 194 |
+
- type: recall_at_3
|
| 195 |
+
value: 0.0
|
| 196 |
+
- type: recall_at_5
|
| 197 |
+
value: 0.0
|
| 198 |
+
- task:
|
| 199 |
+
type: Clustering
|
| 200 |
+
dataset:
|
| 201 |
+
type: lyon-nlp/clustering-hal-s2s
|
| 202 |
+
name: MTEB HALClusteringS2S
|
| 203 |
+
config: default
|
| 204 |
+
split: test
|
| 205 |
+
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
|
| 206 |
+
metrics:
|
| 207 |
+
- type: v_measure
|
| 208 |
+
value: 24.1294565929144
|
| 209 |
+
- task:
|
| 210 |
+
type: Clustering
|
| 211 |
+
dataset:
|
| 212 |
+
type: mlsum
|
| 213 |
+
name: MTEB MLSUMClusteringP2P
|
| 214 |
+
config: default
|
| 215 |
+
split: test
|
| 216 |
+
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
|
| 217 |
+
metrics:
|
| 218 |
+
- type: v_measure
|
| 219 |
+
value: 42.12040762356958
|
| 220 |
+
- task:
|
| 221 |
+
type: Clustering
|
| 222 |
+
dataset:
|
| 223 |
+
type: mlsum
|
| 224 |
+
name: MTEB MLSUMClusteringS2S
|
| 225 |
+
config: default
|
| 226 |
+
split: test
|
| 227 |
+
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
|
| 228 |
+
metrics:
|
| 229 |
+
- type: v_measure
|
| 230 |
+
value: 36.69102548662494
|
| 231 |
+
- task:
|
| 232 |
+
type: Classification
|
| 233 |
+
dataset:
|
| 234 |
+
type: mteb/mtop_domain
|
| 235 |
+
name: MTEB MTOPDomainClassification (fr)
|
| 236 |
+
config: fr
|
| 237 |
+
split: test
|
| 238 |
+
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 239 |
+
metrics:
|
| 240 |
+
- type: accuracy
|
| 241 |
+
value: 90.3946132164109
|
| 242 |
+
- type: f1
|
| 243 |
+
value: 90.15608090764273
|
| 244 |
+
- task:
|
| 245 |
+
type: Classification
|
| 246 |
+
dataset:
|
| 247 |
+
type: mteb/mtop_intent
|
| 248 |
+
name: MTEB MTOPIntentClassification (fr)
|
| 249 |
+
config: fr
|
| 250 |
+
split: test
|
| 251 |
+
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 252 |
+
metrics:
|
| 253 |
+
- type: accuracy
|
| 254 |
+
value: 60.87691825869088
|
| 255 |
+
- type: f1
|
| 256 |
+
value: 43.56160799721332
|
| 257 |
+
- task:
|
| 258 |
+
type: Classification
|
| 259 |
+
dataset:
|
| 260 |
+
type: masakhane/masakhanews
|
| 261 |
+
name: MTEB MasakhaNEWSClassification (fra)
|
| 262 |
+
config: fra
|
| 263 |
+
split: test
|
| 264 |
+
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
|
| 265 |
+
metrics:
|
| 266 |
+
- type: accuracy
|
| 267 |
+
value: 70.52132701421802
|
| 268 |
+
- type: f1
|
| 269 |
+
value: 66.7911493789742
|
| 270 |
+
- task:
|
| 271 |
+
type: Clustering
|
| 272 |
+
dataset:
|
| 273 |
+
type: masakhane/masakhanews
|
| 274 |
+
name: MTEB MasakhaNEWSClusteringP2P (fra)
|
| 275 |
+
config: fra
|
| 276 |
+
split: test
|
| 277 |
+
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
|
| 278 |
+
metrics:
|
| 279 |
+
- type: v_measure
|
| 280 |
+
value: 34.60975901092521
|
| 281 |
+
- task:
|
| 282 |
+
type: Clustering
|
| 283 |
+
dataset:
|
| 284 |
+
type: masakhane/masakhanews
|
| 285 |
+
name: MTEB MasakhaNEWSClusteringS2S (fra)
|
| 286 |
+
config: fra
|
| 287 |
+
split: test
|
| 288 |
+
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
|
| 289 |
+
metrics:
|
| 290 |
+
- type: v_measure
|
| 291 |
+
value: 32.8092912406207
|
| 292 |
+
- task:
|
| 293 |
+
type: Classification
|
| 294 |
+
dataset:
|
| 295 |
+
type: mteb/amazon_massive_intent
|
| 296 |
+
name: MTEB MassiveIntentClassification (fr)
|
| 297 |
+
config: fr
|
| 298 |
+
split: test
|
| 299 |
+
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 300 |
+
metrics:
|
| 301 |
+
- type: accuracy
|
| 302 |
+
value: 66.70477471418964
|
| 303 |
+
- type: f1
|
| 304 |
+
value: 64.4848306188641
|
| 305 |
+
- task:
|
| 306 |
+
type: Classification
|
| 307 |
+
dataset:
|
| 308 |
+
type: mteb/amazon_massive_scenario
|
| 309 |
+
name: MTEB MassiveScenarioClassification (fr)
|
| 310 |
+
config: fr
|
| 311 |
+
split: test
|
| 312 |
+
revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 313 |
+
metrics:
|
| 314 |
+
- type: accuracy
|
| 315 |
+
value: 74.57969065232011
|
| 316 |
+
- type: f1
|
| 317 |
+
value: 73.58251655418402
|
| 318 |
+
- task:
|
| 319 |
+
type: Retrieval
|
| 320 |
+
dataset:
|
| 321 |
+
type: jinaai/mintakaqa
|
| 322 |
+
name: MTEB MintakaRetrieval (fr)
|
| 323 |
+
config: fr
|
| 324 |
+
split: test
|
| 325 |
+
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
|
| 326 |
+
metrics:
|
| 327 |
+
- type: map_at_1
|
| 328 |
+
value: 14.005
|
| 329 |
+
- type: map_at_10
|
| 330 |
+
value: 21.279999999999998
|
| 331 |
+
- type: map_at_100
|
| 332 |
+
value: 22.288
|
| 333 |
+
- type: map_at_1000
|
| 334 |
+
value: 22.404
|
| 335 |
+
- type: map_at_3
|
| 336 |
+
value: 19.151
|
| 337 |
+
- type: map_at_5
|
| 338 |
+
value: 20.322000000000003
|
| 339 |
+
- type: mrr_at_1
|
| 340 |
+
value: 14.005
|
| 341 |
+
- type: mrr_at_10
|
| 342 |
+
value: 21.279999999999998
|
| 343 |
+
- type: mrr_at_100
|
| 344 |
+
value: 22.288
|
| 345 |
+
- type: mrr_at_1000
|
| 346 |
+
value: 22.404
|
| 347 |
+
- type: mrr_at_3
|
| 348 |
+
value: 19.151
|
| 349 |
+
- type: mrr_at_5
|
| 350 |
+
value: 20.322000000000003
|
| 351 |
+
- type: ndcg_at_1
|
| 352 |
+
value: 14.005
|
| 353 |
+
- type: ndcg_at_10
|
| 354 |
+
value: 25.173000000000002
|
| 355 |
+
- type: ndcg_at_100
|
| 356 |
+
value: 30.452
|
| 357 |
+
- type: ndcg_at_1000
|
| 358 |
+
value: 34.241
|
| 359 |
+
- type: ndcg_at_3
|
| 360 |
+
value: 20.768
|
| 361 |
+
- type: ndcg_at_5
|
| 362 |
+
value: 22.869
|
| 363 |
+
- type: precision_at_1
|
| 364 |
+
value: 14.005
|
| 365 |
+
- type: precision_at_10
|
| 366 |
+
value: 3.759
|
| 367 |
+
- type: precision_at_100
|
| 368 |
+
value: 0.631
|
| 369 |
+
- type: precision_at_1000
|
| 370 |
+
value: 0.095
|
| 371 |
+
- type: precision_at_3
|
| 372 |
+
value: 8.477
|
| 373 |
+
- type: precision_at_5
|
| 374 |
+
value: 6.101999999999999
|
| 375 |
+
- type: recall_at_1
|
| 376 |
+
value: 14.005
|
| 377 |
+
- type: recall_at_10
|
| 378 |
+
value: 37.592
|
| 379 |
+
- type: recall_at_100
|
| 380 |
+
value: 63.144999999999996
|
| 381 |
+
- type: recall_at_1000
|
| 382 |
+
value: 94.513
|
| 383 |
+
- type: recall_at_3
|
| 384 |
+
value: 25.430000000000003
|
| 385 |
+
- type: recall_at_5
|
| 386 |
+
value: 30.508000000000003
|
| 387 |
+
- task:
|
| 388 |
+
type: PairClassification
|
| 389 |
+
dataset:
|
| 390 |
+
type: GEM/opusparcus
|
| 391 |
+
name: MTEB OpusparcusPC (fr)
|
| 392 |
+
config: fr
|
| 393 |
+
split: test
|
| 394 |
+
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
|
| 395 |
+
metrics:
|
| 396 |
+
- type: cos_sim_accuracy
|
| 397 |
+
value: 81.60762942779292
|
| 398 |
+
- type: cos_sim_ap
|
| 399 |
+
value: 93.33850264444463
|
| 400 |
+
- type: cos_sim_f1
|
| 401 |
+
value: 87.24705882352941
|
| 402 |
+
- type: cos_sim_precision
|
| 403 |
+
value: 82.91592128801432
|
| 404 |
+
- type: cos_sim_recall
|
| 405 |
+
value: 92.05561072492551
|
| 406 |
+
- type: dot_accuracy
|
| 407 |
+
value: 81.60762942779292
|
| 408 |
+
- type: dot_ap
|
| 409 |
+
value: 93.33850264444463
|
| 410 |
+
- type: dot_f1
|
| 411 |
+
value: 87.24705882352941
|
| 412 |
+
- type: dot_precision
|
| 413 |
+
value: 82.91592128801432
|
| 414 |
+
- type: dot_recall
|
| 415 |
+
value: 92.05561072492551
|
| 416 |
+
- type: euclidean_accuracy
|
| 417 |
+
value: 81.60762942779292
|
| 418 |
+
- type: euclidean_ap
|
| 419 |
+
value: 93.3384939260791
|
| 420 |
+
- type: euclidean_f1
|
| 421 |
+
value: 87.24705882352941
|
| 422 |
+
- type: euclidean_precision
|
| 423 |
+
value: 82.91592128801432
|
| 424 |
+
- type: euclidean_recall
|
| 425 |
+
value: 92.05561072492551
|
| 426 |
+
- type: manhattan_accuracy
|
| 427 |
+
value: 81.60762942779292
|
| 428 |
+
- type: manhattan_ap
|
| 429 |
+
value: 93.27064794794664
|
| 430 |
+
- type: manhattan_f1
|
| 431 |
+
value: 87.27440999537251
|
| 432 |
+
- type: manhattan_precision
|
| 433 |
+
value: 81.7157712305026
|
| 434 |
+
- type: manhattan_recall
|
| 435 |
+
value: 93.64448857994041
|
| 436 |
+
- type: max_accuracy
|
| 437 |
+
value: 81.60762942779292
|
| 438 |
+
- type: max_ap
|
| 439 |
+
value: 93.33850264444463
|
| 440 |
+
- type: max_f1
|
| 441 |
+
value: 87.27440999537251
|
| 442 |
+
- task:
|
| 443 |
+
type: PairClassification
|
| 444 |
+
dataset:
|
| 445 |
+
type: paws-x
|
| 446 |
+
name: MTEB PawsX (fr)
|
| 447 |
+
config: fr
|
| 448 |
+
split: test
|
| 449 |
+
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
|
| 450 |
+
metrics:
|
| 451 |
+
- type: cos_sim_accuracy
|
| 452 |
+
value: 61.95
|
| 453 |
+
- type: cos_sim_ap
|
| 454 |
+
value: 60.8497942066519
|
| 455 |
+
- type: cos_sim_f1
|
| 456 |
+
value: 62.53032928942807
|
| 457 |
+
- type: cos_sim_precision
|
| 458 |
+
value: 45.50958627648839
|
| 459 |
+
- type: cos_sim_recall
|
| 460 |
+
value: 99.88925802879291
|
| 461 |
+
- type: dot_accuracy
|
| 462 |
+
value: 61.95
|
| 463 |
+
- type: dot_ap
|
| 464 |
+
value: 60.83772617132806
|
| 465 |
+
- type: dot_f1
|
| 466 |
+
value: 62.53032928942807
|
| 467 |
+
- type: dot_precision
|
| 468 |
+
value: 45.50958627648839
|
| 469 |
+
- type: dot_recall
|
| 470 |
+
value: 99.88925802879291
|
| 471 |
+
- type: euclidean_accuracy
|
| 472 |
+
value: 61.95
|
| 473 |
+
- type: euclidean_ap
|
| 474 |
+
value: 60.8497942066519
|
| 475 |
+
- type: euclidean_f1
|
| 476 |
+
value: 62.53032928942807
|
| 477 |
+
- type: euclidean_precision
|
| 478 |
+
value: 45.50958627648839
|
| 479 |
+
- type: euclidean_recall
|
| 480 |
+
value: 99.88925802879291
|
| 481 |
+
- type: manhattan_accuracy
|
| 482 |
+
value: 61.9
|
| 483 |
+
- type: manhattan_ap
|
| 484 |
+
value: 60.87914286416435
|
| 485 |
+
- type: manhattan_f1
|
| 486 |
+
value: 62.491349480968864
|
| 487 |
+
- type: manhattan_precision
|
| 488 |
+
value: 45.44539506794162
|
| 489 |
+
- type: manhattan_recall
|
| 490 |
+
value: 100.0
|
| 491 |
+
- type: max_accuracy
|
| 492 |
+
value: 61.95
|
| 493 |
+
- type: max_ap
|
| 494 |
+
value: 60.87914286416435
|
| 495 |
+
- type: max_f1
|
| 496 |
+
value: 62.53032928942807
|
| 497 |
+
- task:
|
| 498 |
+
type: STS
|
| 499 |
+
dataset:
|
| 500 |
+
type: Lajavaness/SICK-fr
|
| 501 |
+
name: MTEB SICKFr
|
| 502 |
+
config: default
|
| 503 |
+
split: test
|
| 504 |
+
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
|
| 505 |
+
metrics:
|
| 506 |
+
- type: cos_sim_pearson
|
| 507 |
+
value: 81.24400370393097
|
| 508 |
+
- type: cos_sim_spearman
|
| 509 |
+
value: 75.50548831172674
|
| 510 |
+
- type: euclidean_pearson
|
| 511 |
+
value: 77.81039134726188
|
| 512 |
+
- type: euclidean_spearman
|
| 513 |
+
value: 75.50504199480463
|
| 514 |
+
- type: manhattan_pearson
|
| 515 |
+
value: 77.79383923445839
|
| 516 |
+
- type: manhattan_spearman
|
| 517 |
+
value: 75.472882776806
|
| 518 |
+
- task:
|
| 519 |
+
type: STS
|
| 520 |
+
dataset:
|
| 521 |
+
type: mteb/sts22-crosslingual-sts
|
| 522 |
+
name: MTEB STS22 (fr)
|
| 523 |
+
config: fr
|
| 524 |
+
split: test
|
| 525 |
+
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
|
| 526 |
+
metrics:
|
| 527 |
+
- type: cos_sim_pearson
|
| 528 |
+
value: 80.48474973785514
|
| 529 |
+
- type: cos_sim_spearman
|
| 530 |
+
value: 81.69566405041475
|
| 531 |
+
- type: euclidean_pearson
|
| 532 |
+
value: 78.32784472269549
|
| 533 |
+
- type: euclidean_spearman
|
| 534 |
+
value: 81.69566405041475
|
| 535 |
+
- type: manhattan_pearson
|
| 536 |
+
value: 78.2856100079857
|
| 537 |
+
- type: manhattan_spearman
|
| 538 |
+
value: 81.84463256785325
|
| 539 |
+
- task:
|
| 540 |
+
type: STS
|
| 541 |
+
dataset:
|
| 542 |
+
type: PhilipMay/stsb_multi_mt
|
| 543 |
+
name: MTEB STSBenchmarkMultilingualSTS (fr)
|
| 544 |
+
config: fr
|
| 545 |
+
split: test
|
| 546 |
+
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
|
| 547 |
+
metrics:
|
| 548 |
+
- type: cos_sim_pearson
|
| 549 |
+
value: 80.68785966129913
|
| 550 |
+
- type: cos_sim_spearman
|
| 551 |
+
value: 81.29936344904975
|
| 552 |
+
- type: euclidean_pearson
|
| 553 |
+
value: 80.25462090186443
|
| 554 |
+
- type: euclidean_spearman
|
| 555 |
+
value: 81.29928746010391
|
| 556 |
+
- type: manhattan_pearson
|
| 557 |
+
value: 80.17083094559602
|
| 558 |
+
- type: manhattan_spearman
|
| 559 |
+
value: 81.18921827402406
|
| 560 |
+
- task:
|
| 561 |
+
type: Summarization
|
| 562 |
+
dataset:
|
| 563 |
+
type: lyon-nlp/summarization-summeval-fr-p2p
|
| 564 |
+
name: MTEB SummEvalFr
|
| 565 |
+
config: default
|
| 566 |
+
split: test
|
| 567 |
+
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
|
| 568 |
+
metrics:
|
| 569 |
+
- type: cos_sim_pearson
|
| 570 |
+
value: 31.66113105701837
|
| 571 |
+
- type: cos_sim_spearman
|
| 572 |
+
value: 30.13316633681715
|
| 573 |
+
- type: dot_pearson
|
| 574 |
+
value: 31.66113064418324
|
| 575 |
+
- type: dot_spearman
|
| 576 |
+
value: 30.13316633681715
|
| 577 |
+
- task:
|
| 578 |
+
type: Reranking
|
| 579 |
+
dataset:
|
| 580 |
+
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
|
| 581 |
+
name: MTEB SyntecReranking
|
| 582 |
+
config: default
|
| 583 |
+
split: test
|
| 584 |
+
revision: b205c5084a0934ce8af14338bf03feb19499c84d
|
| 585 |
+
metrics:
|
| 586 |
+
- type: map
|
| 587 |
+
value: 85.43333333333334
|
| 588 |
+
- type: mrr
|
| 589 |
+
value: 85.43333333333334
|
| 590 |
+
- task:
|
| 591 |
+
type: Retrieval
|
| 592 |
+
dataset:
|
| 593 |
+
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
|
| 594 |
+
name: MTEB SyntecRetrieval
|
| 595 |
+
config: default
|
| 596 |
+
split: test
|
| 597 |
+
revision: aa460cd4d177e6a3c04fcd2affd95e8243289033
|
| 598 |
+
metrics:
|
| 599 |
+
- type: map_at_1
|
| 600 |
+
value: 65.0
|
| 601 |
+
- type: map_at_10
|
| 602 |
+
value: 75.19200000000001
|
| 603 |
+
- type: map_at_100
|
| 604 |
+
value: 75.77000000000001
|
| 605 |
+
- type: map_at_1000
|
| 606 |
+
value: 75.77000000000001
|
| 607 |
+
- type: map_at_3
|
| 608 |
+
value: 73.667
|
| 609 |
+
- type: map_at_5
|
| 610 |
+
value: 75.067
|
| 611 |
+
- type: mrr_at_1
|
| 612 |
+
value: 65.0
|
| 613 |
+
- type: mrr_at_10
|
| 614 |
+
value: 75.19200000000001
|
| 615 |
+
- type: mrr_at_100
|
| 616 |
+
value: 75.77000000000001
|
| 617 |
+
- type: mrr_at_1000
|
| 618 |
+
value: 75.77000000000001
|
| 619 |
+
- type: mrr_at_3
|
| 620 |
+
value: 73.667
|
| 621 |
+
- type: mrr_at_5
|
| 622 |
+
value: 75.067
|
| 623 |
+
- type: ndcg_at_1
|
| 624 |
+
value: 65.0
|
| 625 |
+
- type: ndcg_at_10
|
| 626 |
+
value: 79.145
|
| 627 |
+
- type: ndcg_at_100
|
| 628 |
+
value: 81.34400000000001
|
| 629 |
+
- type: ndcg_at_1000
|
| 630 |
+
value: 81.34400000000001
|
| 631 |
+
- type: ndcg_at_3
|
| 632 |
+
value: 76.333
|
| 633 |
+
- type: ndcg_at_5
|
| 634 |
+
value: 78.82900000000001
|
| 635 |
+
- type: precision_at_1
|
| 636 |
+
value: 65.0
|
| 637 |
+
- type: precision_at_10
|
| 638 |
+
value: 9.1
|
| 639 |
+
- type: precision_at_100
|
| 640 |
+
value: 1.0
|
| 641 |
+
- type: precision_at_1000
|
| 642 |
+
value: 0.1
|
| 643 |
+
- type: precision_at_3
|
| 644 |
+
value: 28.000000000000004
|
| 645 |
+
- type: precision_at_5
|
| 646 |
+
value: 18.0
|
| 647 |
+
- type: recall_at_1
|
| 648 |
+
value: 65.0
|
| 649 |
+
- type: recall_at_10
|
| 650 |
+
value: 91.0
|
| 651 |
+
- type: recall_at_100
|
| 652 |
+
value: 100.0
|
| 653 |
+
- type: recall_at_1000
|
| 654 |
+
value: 100.0
|
| 655 |
+
- type: recall_at_3
|
| 656 |
+
value: 84.0
|
| 657 |
+
- type: recall_at_5
|
| 658 |
+
value: 90.0
|
| 659 |
+
- task:
|
| 660 |
+
type: Retrieval
|
| 661 |
+
dataset:
|
| 662 |
+
type: jinaai/xpqa
|
| 663 |
+
name: MTEB XPQARetrieval (fr)
|
| 664 |
+
config: fr
|
| 665 |
+
split: test
|
| 666 |
+
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
|
| 667 |
+
metrics:
|
| 668 |
+
- type: map_at_1
|
| 669 |
+
value: 40.225
|
| 670 |
+
- type: map_at_10
|
| 671 |
+
value: 61.833000000000006
|
| 672 |
+
- type: map_at_100
|
| 673 |
+
value: 63.20400000000001
|
| 674 |
+
- type: map_at_1000
|
| 675 |
+
value: 63.27
|
| 676 |
+
- type: map_at_3
|
| 677 |
+
value: 55.593
|
| 678 |
+
- type: map_at_5
|
| 679 |
+
value: 59.65200000000001
|
| 680 |
+
- type: mrr_at_1
|
| 681 |
+
value: 63.284
|
| 682 |
+
- type: mrr_at_10
|
| 683 |
+
value: 71.351
|
| 684 |
+
- type: mrr_at_100
|
| 685 |
+
value: 71.772
|
| 686 |
+
- type: mrr_at_1000
|
| 687 |
+
value: 71.786
|
| 688 |
+
- type: mrr_at_3
|
| 689 |
+
value: 69.381
|
| 690 |
+
- type: mrr_at_5
|
| 691 |
+
value: 70.703
|
| 692 |
+
- type: ndcg_at_1
|
| 693 |
+
value: 63.284
|
| 694 |
+
- type: ndcg_at_10
|
| 695 |
+
value: 68.49199999999999
|
| 696 |
+
- type: ndcg_at_100
|
| 697 |
+
value: 72.79299999999999
|
| 698 |
+
- type: ndcg_at_1000
|
| 699 |
+
value: 73.735
|
| 700 |
+
- type: ndcg_at_3
|
| 701 |
+
value: 63.278
|
| 702 |
+
- type: ndcg_at_5
|
| 703 |
+
value: 65.19200000000001
|
| 704 |
+
- type: precision_at_1
|
| 705 |
+
value: 63.284
|
| 706 |
+
- type: precision_at_10
|
| 707 |
+
value: 15.661
|
| 708 |
+
- type: precision_at_100
|
| 709 |
+
value: 1.9349999999999998
|
| 710 |
+
- type: precision_at_1000
|
| 711 |
+
value: 0.207
|
| 712 |
+
- type: precision_at_3
|
| 713 |
+
value: 38.273
|
| 714 |
+
- type: precision_at_5
|
| 715 |
+
value: 27.397
|
| 716 |
+
- type: recall_at_1
|
| 717 |
+
value: 40.225
|
| 718 |
+
- type: recall_at_10
|
| 719 |
+
value: 77.66999999999999
|
| 720 |
+
- type: recall_at_100
|
| 721 |
+
value: 93.887
|
| 722 |
+
- type: recall_at_1000
|
| 723 |
+
value: 99.70599999999999
|
| 724 |
+
- type: recall_at_3
|
| 725 |
+
value: 61.133
|
| 726 |
+
- type: recall_at_5
|
| 727 |
+
value: 69.789
|
| 728 |
---
|
| 729 |
|
| 730 |
# {MODEL_NAME}
|