diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -7,7 +7,7 @@ tags: - sentence-similarity - mteb model-index: -- name: sentence_croissant_v8 +- name: sentence_croissant_alpha_v0.4 results: - task: type: Clustering @@ -21,7 +21,1007 @@ model-index: - type: v_measure value: 57.428864270265436 - type: v_measures - value: [0.5614002072589602, 0.5263956507044442, 0.5705983621877876, 0.644706670078619, 0.5546629587554343, 0.5285267431772123, 0.6358898293581395, 0.5652559860439862, 0.5110004766882107, 0.6444495427737497, 0.5614002072589602, 0.5263956507044442, 0.5705983621877876, 0.644706670078619, 0.5546629587554343, 0.5285267431772123, 0.6358898293581395, 0.5652559860439862, 0.5110004766882107, 0.6444495427737497, 0.5614002072589602, 0.5263956507044442, 0.5705983621877876, 0.644706670078619, 0.5546629587554343, 0.5285267431772123, 0.6358898293581395, 0.5652559860439862, 0.5110004766882107, 0.6444495427737497, 0.5614002072589602, 0.5263956507044442, 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mrr_at_5 - value: 0.0 + value: 0 - type: ndcg_at_1 - value: 0.0 + value: 0 - type: ndcg_at_10 value: 0.16 - type: ndcg_at_100 @@ -188,11 +2188,11 @@ model-index: - type: ndcg_at_20 value: 0.378 - type: ndcg_at_3 - value: 0.0 + value: 0 - type: ndcg_at_5 - value: 0.0 + value: 0 - type: precision_at_1 - value: 0.0 + value: 0 - type: precision_at_10 value: 0.045 - type: precision_at_100 @@ -202,11 +2202,11 @@ model-index: - type: precision_at_20 value: 0.068 - type: precision_at_3 - value: 0.0 + value: 0 - type: precision_at_5 - value: 0.0 + value: 0 - type: recall_at_1 - value: 0.0 + value: 0 - type: recall_at_10 value: 0.44999999999999996 - type: recall_at_100 @@ -216,9 +2216,9 @@ model-index: - type: recall_at_20 value: 1.351 - type: recall_at_3 - value: 0.0 + value: 0 - type: recall_at_5 - value: 0.0 + value: 0 - task: type: Retrieval dataset: @@ -289,15 +2289,15 @@ model-index: - type: recall_at_10 value: 87.75 - type: recall_at_100 - value: 98.0 + value: 98 - type: recall_at_1000 - 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value: 93.37313589264696 + - type: cos_sim_f1 + value: 88.13397129186603 + - type: cos_sim_precision + value: 85.0415512465374 + - type: cos_sim_recall + value: 91.45978152929494 + - type: dot_accuracy + value: 80.44959128065395 + - type: dot_ap + value: 90.98443280536087 + - type: dot_f1 + value: 86.37002341920376 + - type: dot_precision + value: 81.73758865248227 + - type: dot_recall + value: 91.55908639523336 + - type: euclidean_accuracy + value: 82.62942779291554 + - type: euclidean_ap + value: 93.12711849212847 + - type: euclidean_f1 + value: 87.64044943820224 + - type: euclidean_precision + value: 82.9052258635961 + - type: euclidean_recall + value: 92.9493545183714 + - type: manhattan_accuracy + value: 82.49318801089919 + - type: manhattan_ap + value: 93.17735641898214 + - type: manhattan_f1 + value: 87.5884851344974 + - type: manhattan_precision + value: 83.45323741007195 + - type: manhattan_recall + value: 92.15491559086395 + - type: max_accuracy + value: 83.10626702997274 + - type: max_ap + value: 93.37313589264696 + - type: max_f1 + value: 88.13397129186603 - task: type: PairClassification dataset: @@ -535,7 +6590,7 @@ model-index: - type: dot_precision value: 45.44539506794162 - type: dot_recall - value: 100.0 + value: 100 - type: euclidean_accuracy value: 65.05 - type: euclidean_ap @@ -547,7 +6602,7 @@ model-index: - type: euclidean_recall value: 81.61683277962348 - type: manhattan_accuracy - value: 65.0 + value: 65 - type: manhattan_ap value: 67.15521762543842 - type: manhattan_f1 @@ -711,7 +6766,7 @@ model-index: - type: precision_at_10 value: 9.5 - type: precision_at_100 - value: 1.0 + value: 1 - type: precision_at_1000 value: 0.1 - type: precision_at_20 @@ -719,21 +6774,21 @@ model-index: - type: precision_at_3 value: 27.667 - type: precision_at_5 - value: 18.0 + value: 18 - type: recall_at_1 value: 56.99999999999999 - type: recall_at_10 - value: 95.0 + value: 95 - type: recall_at_100 - value: 100.0 + value: 100 - type: recall_at_1000 - value: 100.0 + value: 100 - type: recall_at_20 - value: 96.0 + value: 96 - type: recall_at_3 - value: 83.0 + value: 83 - type: recall_at_5 - value: 90.0 + value: 90 - task: type: Retrieval dataset: @@ -813,6 +6868,12 @@ model-index: value: 57.352000000000004 - type: recall_at_5 value: 63.912 +license: mit +datasets: +- manu/embedding_data_v2_100k +language: +- fr +- en --- # {MODEL_NAME}