diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -1,5 +1,4 @@ --- -base_model: TaylorAI/gte-tiny license: mit library_name: sentence-transformers pipeline_tag: sentence-similarity @@ -12,7 +11,7 @@ tags: datasets: - Mihaiii/qa-assistant model-index: -- name: Ivysaur +- name: Bulbasaur results: - task: type: Classification @@ -24,11 +23,11 @@ model-index: revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy - value: 72.1044776119403 + value: 71.86567164179104 - type: ap - value: 35.09105788324913 + value: 34.08685244750869 - type: f1 - value: 66.26967715703572 + value: 65.66014356237362 - task: type: Classification dataset: @@ -39,11 +38,11 @@ model-index: revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy - value: 86.686075 + value: 78.78927499999999 - type: ap - value: 81.92716581685914 + value: 73.46960735629719 - type: f1 - value: 86.65902299160209 + value: 78.6951990840684 - task: type: Classification dataset: @@ -54,9 +53,9 @@ model-index: revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy - value: 42.698 + value: 39.312 - type: f1 - value: 42.287785312461885 + value: 38.94567141563064 - task: type: Retrieval dataset: @@ -67,75 +66,75 @@ model-index: revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 - value: 30.441000000000003 + value: 22.191 - type: map_at_10 - value: 46.951 + value: 36.504 - type: map_at_100 - value: 47.788000000000004 + value: 37.676 - type: map_at_1000 - value: 47.794 + value: 37.693 - type: map_at_20 - value: 47.621 + value: 37.329 - type: map_at_3 - value: 42.295 + value: 31.840000000000003 - type: map_at_5 - value: 45.126 + value: 34.333000000000006 - type: mrr_at_1 - value: 31.65 + value: 23.186 - type: mrr_at_10 - value: 47.394999999999996 + value: 36.856 - type: mrr_at_100 - value: 48.238 + value: 38.048 - type: mrr_at_1000 - value: 48.245 + value: 38.065 - type: mrr_at_20 - value: 48.069 + value: 37.701 - type: mrr_at_3 - value: 42.852000000000004 + value: 32.16 - type: mrr_at_5 - value: 45.58 + value: 34.756 - type: ndcg_at_1 - value: 30.441000000000003 + value: 22.191 - type: ndcg_at_10 - value: 55.783 + value: 44.798 - type: ndcg_at_100 - value: 59.227 + value: 50.141999999999996 - type: ndcg_at_1000 - value: 59.376 + value: 50.599000000000004 - type: ndcg_at_20 - value: 58.18 + value: 47.778999999999996 - type: ndcg_at_3 - value: 46.291 + value: 35.071999999999996 - type: ndcg_at_5 - value: 51.405 + value: 39.574 - type: precision_at_1 - value: 30.441000000000003 + value: 22.191 - type: precision_at_10 - value: 8.378 + value: 7.148000000000001 - type: precision_at_100 - value: 0.985 + value: 0.9570000000000001 - type: precision_at_1000 - value: 0.1 + value: 0.099 - type: precision_at_20 - value: 4.659 + value: 4.1610000000000005 - type: precision_at_3 - value: 19.298000000000002 + value: 14.817 - type: precision_at_5 - value: 14.068 + value: 11.081000000000001 - type: recall_at_1 - value: 30.441000000000003 + value: 22.191 - type: recall_at_10 - value: 83.784 + value: 71.479 - type: recall_at_100 - value: 98.506 + value: 95.661 - type: recall_at_1000 - value: 99.644 + value: 99.289 - type: recall_at_20 - value: 93.172 + value: 83.21499999999999 - type: recall_at_3 - value: 57.894999999999996 + value: 44.452000000000005 - type: recall_at_5 - value: 70.341 + value: 55.405 - task: type: Clustering dataset: @@ -146,9 +145,9 @@ model-index: revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure - value: 46.39249132731755 + value: 40.283298409035076 - type: v_measures - value: [0.462627943488718, 0.4670198046702645, 0.4799590043041496, 0.4769331119808875, 0.4676232129237324, 0.4776548131275231, 0.4670074065859379, 0.4796639656537766, 0.4618481699630812, 0.4663292111226376, 0.5293353429909269, 0.5398570175481274, 0.5399074383870329, 0.5363158656403061, 0.5377616813701683, 0.5375897664056992, 0.5391811647339062, 0.5408906197352437, 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14.735000000000001 + value: 12.275 - type: recall_at_1 - value: 30.793 + value: 24.271 - type: recall_at_10 - value: 60.455000000000005 + value: 49.714000000000006 - type: recall_at_100 - value: 80.061 + value: 72.792 - type: recall_at_1000 - value: 95.322 + value: 91.21000000000001 - type: recall_at_20 - value: 67.27 + value: 57.799 - type: recall_at_3 - value: 46.296 + value: 36.494 - type: recall_at_5 - value: 51.139 + value: 42.764 - task: type: Retrieval dataset: @@ -324,75 +323,75 @@ model-index: revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 - value: 27.93 + value: 19.414 - type: map_at_10 - value: 36.085 + value: 25.766 - type: map_at_100 - value: 37.192 + value: 26.627000000000002 - type: map_at_1000 - value: 37.324 + value: 26.749000000000002 - type: map_at_20 - value: 36.614999999999995 + value: 26.201999999999998 - type: map_at_3 - value: 33.452 + value: 23.738 - type: map_at_5 - value: 35.088 + value: 24.829 - type: mrr_at_1 - value: 34.777 + 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precision_at_20 - value: 4.481 + value: 3.2800000000000002 - type: precision_at_3 - value: 17.771 + value: 12.590000000000002 - type: precision_at_5 - value: 12.687999999999999 + value: 8.994 - type: recall_at_1 - value: 27.93 + value: 19.414 - type: recall_at_10 - value: 49.464000000000006 + value: 37.582 - type: recall_at_100 - value: 67.64099999999999 + value: 55.181000000000004 - type: recall_at_1000 - value: 83.066 + value: 73.342 - type: recall_at_20 - value: 54.452999999999996 + value: 42.596000000000004 - type: recall_at_3 - value: 38.157000000000004 + value: 28.102 - type: recall_at_5 - value: 43.829 + value: 32.267 - task: type: Retrieval dataset: @@ -403,75 +402,75 @@ model-index: revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 - value: 37.332 + value: 31.5 - type: map_at_10 - value: 49.146 + value: 42.179 - type: map_at_100 - value: 50.222 + value: 43.231 - type: map_at_1000 - value: 50.281 + value: 43.302 - type: map_at_20 - value: 49.802 + value: 42.786 - type: map_at_3 - value: 46.264 + value: 39.17 - type: map_at_5 - value: 47.912 + value: 40.854 - type: mrr_at_1 - value: 43.009 + value: 36.113 - type: mrr_at_10 - value: 52.586999999999996 + value: 45.378 - type: mrr_at_100 - value: 53.323 + value: 46.153 - type: mrr_at_1000 - value: 53.352999999999994 + value: 46.194 - type: mrr_at_20 - value: 53.04299999999999 + value: 45.831 - type: mrr_at_3 - value: 50.261 + value: 42.947 - type: mrr_at_5 - value: 51.615 + value: 44.339 - type: ndcg_at_1 - value: 43.009 + value: 36.113 - type: ndcg_at_10 - value: 54.652 + value: 47.616 - type: ndcg_at_100 - value: 58.918000000000006 + value: 52.125 - type: ndcg_at_1000 - value: 60.172000000000004 + value: 53.717999999999996 - type: ndcg_at_20 - value: 56.554 + value: 49.495 - type: ndcg_at_3 - value: 49.757 + value: 42.354 - type: ndcg_at_5 - value: 52.169 + value: 44.885999999999996 - type: precision_at_1 - value: 43.009 + value: 36.113 - type: precision_at_10 - value: 8.715 + value: 7.799 - type: precision_at_100 - value: 1.1780000000000002 + value: 1.093 - type: precision_at_1000 - value: 0.133 + value: 0.129 - type: precision_at_20 - value: 4.931 + value: 4.4670000000000005 - type: precision_at_3 - value: 22.153 + value: 19.017999999999997 - type: precision_at_5 - value: 15.146999999999998 + value: 13.254 - type: recall_at_1 - value: 37.332 + value: 31.5 - type: recall_at_10 - value: 67.55600000000001 + value: 60.67 - type: recall_at_100 - value: 85.885 + value: 80.484 - type: recall_at_1000 - value: 94.87400000000001 + value: 92.04599999999999 - type: recall_at_20 - value: 74.568 + value: 67.644 - type: recall_at_3 - value: 54.419 + value: 46.671 - type: recall_at_5 - value: 60.288 + value: 52.723 - task: type: Retrieval dataset: @@ -482,75 +481,75 @@ model-index: revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 - value: 24.09 + value: 17.339 - type: map_at_10 - value: 32.608 + value: 23.014000000000003 - type: map_at_100 - value: 33.571 + value: 23.918 - type: map_at_1000 - value: 33.668 + value: 24.027 - type: map_at_20 - value: 33.181 + value: 23.507 - type: map_at_3 - value: 30.091 + value: 21.176000000000002 - type: map_at_5 - value: 31.518 + value: 22.126 - type: mrr_at_1 - value: 25.763 + value: 18.531 - type: mrr_at_10 - value: 34.25 + value: 24.356 - type: mrr_at_100 - value: 35.134 + value: 25.247000000000003 - type: mrr_at_1000 - value: 35.207 + value: 25.338 - type: mrr_at_20 - value: 34.78 + value: 24.858 - type: mrr_at_3 - value: 31.807999999999996 + value: 22.542 - type: mrr_at_5 - value: 33.198 + value: 23.508000000000003 - type: ndcg_at_1 - value: 25.763 + value: 18.531 - type: ndcg_at_10 - value: 37.305 + value: 26.51 - type: ndcg_at_100 - value: 42.114000000000004 + value: 31.367 - type: ndcg_at_1000 - value: 44.467 + value: 34.38 - type: ndcg_at_20 - value: 39.272 + value: 28.328999999999997 - type: ndcg_at_3 - value: 32.405 + value: 22.861 - type: ndcg_at_5 - value: 34.775 + value: 24.456 - type: precision_at_1 - value: 25.763 + value: 18.531 - type: precision_at_10 - value: 5.729 + value: 4.147 - type: precision_at_100 - value: 0.853 + value: 0.695 - type: precision_at_1000 - value: 0.109 + value: 0.099 - type: precision_at_20 - value: 3.3329999999999997 + value: 2.492 - type: precision_at_3 - value: 13.71 + value: 9.793000000000001 - type: precision_at_5 - value: 9.65 + value: 6.825 - type: recall_at_1 - value: 24.09 + value: 17.339 - type: recall_at_10 - value: 50.161 + value: 36.010999999999996 - type: recall_at_100 - value: 72.419 + value: 59.040000000000006 - type: recall_at_1000 - value: 89.983 + value: 82.282 - type: recall_at_20 - value: 57.53 + value: 43.04 - type: recall_at_3 - value: 36.961 + value: 25.904 - type: recall_at_5 - value: 42.568 + value: 29.837000000000003 - task: type: Retrieval dataset: @@ -561,75 +560,75 @@ model-index: revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 - value: 16.333000000000002 + value: 9.251 - type: map_at_10 - value: 23.352999999999998 + value: 14.848 - type: map_at_100 - value: 24.618000000000002 + value: 15.940999999999999 - type: map_at_1000 - value: 24.743000000000002 + value: 16.055 - type: map_at_20 - value: 24.117 + value: 15.423 - type: map_at_3 - value: 21.013 + value: 12.556999999999999 - type: map_at_5 - value: 22.259 + value: 13.649000000000001 - type: mrr_at_1 - value: 20.398 + value: 12.313 - type: mrr_at_10 - value: 28.28 + value: 18.528 - type: mrr_at_100 - value: 29.307 + value: 19.522000000000002 - type: mrr_at_1000 - value: 29.381 + value: 19.601 - type: mrr_at_20 - value: 28.955 + value: 19.107 - type: mrr_at_3 - value: 25.933 + value: 16.231 - type: mrr_at_5 - value: 27.114 + value: 17.294999999999998 - type: ndcg_at_1 - value: 20.398 + value: 12.313 - type: ndcg_at_10 - value: 28.359 + value: 19.303 - type: ndcg_at_100 - value: 34.178999999999995 + value: 24.728 - type: ndcg_at_1000 - value: 37.112 + value: 27.823999999999998 - type: ndcg_at_20 - value: 30.982 + value: 21.318 - type: ndcg_at_3 - value: 24.104999999999997 + value: 14.848 - type: ndcg_at_5 - value: 25.877 + value: 16.509 - type: precision_at_1 - value: 20.398 + value: 12.313 - type: precision_at_10 - value: 5.2490000000000006 + value: 4.03 - type: precision_at_100 - value: 0.927 + value: 0.777 - type: precision_at_1000 - value: 0.131 + value: 0.11800000000000001 - type: precision_at_20 - value: 3.3520000000000003 + value: 2.562 - type: precision_at_3 - value: 11.733 + value: 7.546 - type: precision_at_5 - value: 8.433 + value: 5.672 - type: recall_at_1 - value: 16.333000000000002 + value: 9.251 - type: recall_at_10 - value: 39.082 + value: 29.677999999999997 - type: recall_at_100 - value: 64.269 + value: 53.586 - type: recall_at_1000 - value: 85.103 + value: 76.181 - type: recall_at_20 - value: 48.625 + value: 36.963 - type: recall_at_3 - value: 26.740000000000002 + value: 17.072000000000003 - type: recall_at_5 - value: 31.519000000000002 + value: 21.481 - task: type: Retrieval dataset: @@ -640,75 +639,75 @@ model-index: revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 - value: 26.857999999999997 + value: 21.135 - type: map_at_10 - value: 36.258 + value: 29.431 - type: map_at_100 - value: 37.556 + value: 30.662 - type: map_at_1000 - value: 37.669999999999995 + value: 30.792 - type: map_at_20 - value: 36.937 + value: 30.086000000000002 - type: map_at_3 - value: 33.306000000000004 + value: 26.593 - type: map_at_5 - value: 35.004999999999995 + value: 28.011999999999997 - type: mrr_at_1 - value: 33.397 + value: 26.564 - type: mrr_at_10 - value: 42.089 + value: 34.735 - type: mrr_at_100 - value: 42.864999999999995 + value: 35.65 - type: mrr_at_1000 - value: 42.915 + value: 35.711999999999996 - type: mrr_at_20 - value: 42.510999999999996 + value: 35.286 - type: mrr_at_3 - value: 39.413 + value: 32.002 - type: mrr_at_5 - value: 40.905 + value: 33.527 - type: ndcg_at_1 - value: 33.397 + value: 26.564 - type: ndcg_at_10 - value: 42.062 + value: 35.108 - type: ndcg_at_100 - value: 47.620000000000005 + value: 40.601 - type: ndcg_at_1000 - value: 49.816 + value: 43.329 - type: ndcg_at_20 - value: 44.096999999999994 + value: 37.192 - type: ndcg_at_3 - value: 37.165 + value: 29.961 - type: ndcg_at_5 - value: 39.493 + value: 32.131 - type: precision_at_1 - value: 33.397 + value: 26.564 - type: precision_at_10 - value: 7.5649999999999995 + value: 6.564 - type: precision_at_100 - value: 1.224 + value: 1.105 - type: precision_at_1000 - value: 0.16 + value: 0.154 - type: precision_at_20 - value: 4.495 + value: 3.941 - type: precision_at_3 - value: 17.613 + value: 14.212 - type: precision_at_5 - value: 12.589 + value: 10.337 - type: recall_at_1 - value: 26.857999999999997 + value: 21.135 - type: recall_at_10 - value: 53.900000000000006 + value: 47.242 - type: recall_at_100 - value: 77.595 + value: 70.645 - type: recall_at_1000 - value: 92.116 + value: 89.403 - type: recall_at_20 - value: 60.962 + value: 54.663 - type: recall_at_3 - value: 39.799 + value: 32.647 - type: recall_at_5 - value: 45.961 + value: 38.122 - task: type: Retrieval dataset: @@ -719,75 +718,75 @@ model-index: revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 - value: 24.131 + value: 16.86 - type: map_at_10 - value: 33.016 + value: 23.477999999999998 - type: map_at_100 - value: 34.263 + value: 24.68 - type: map_at_1000 - value: 34.39 + value: 24.826999999999998 - type: map_at_20 - value: 33.703 + value: 24.122 - type: map_at_3 - value: 30.055 + value: 21.288999999999998 - type: map_at_5 - value: 31.651 + value: 22.453 - type: mrr_at_1 - value: 30.593999999999998 + value: 20.776 - type: mrr_at_10 - value: 38.786 + value: 28.029 - type: mrr_at_100 - value: 39.674 + value: 28.951 - type: mrr_at_1000 - value: 39.739000000000004 + value: 29.038000000000004 - type: mrr_at_20 - value: 39.322 + value: 28.546 - type: mrr_at_3 - value: 36.32 + value: 25.818 - type: mrr_at_5 - value: 37.787 + value: 26.994 - type: ndcg_at_1 - value: 30.593999999999998 + value: 20.776 - type: ndcg_at_10 - value: 38.606 + value: 28.152 - type: ndcg_at_100 - value: 44.116 + value: 33.82 - type: ndcg_at_1000 - value: 46.772999999999996 + value: 37.039 - type: ndcg_at_20 - value: 40.775 + value: 30.238 - type: ndcg_at_3 - value: 33.854 + value: 24.197 - type: ndcg_at_5 - value: 35.957 + value: 25.861 - type: precision_at_1 - value: 30.593999999999998 + value: 20.776 - type: precision_at_10 - value: 7.112 + value: 5.297000000000001 - type: precision_at_100 - value: 1.154 + value: 0.96 - type: precision_at_1000 - value: 0.155 + value: 0.14200000000000002 - type: precision_at_20 - value: 4.2410000000000005 + value: 3.276 - type: precision_at_3 - value: 16.323999999999998 + value: 11.606 - type: precision_at_5 - value: 11.644 + value: 8.356 - type: recall_at_1 - value: 24.131 + value: 16.86 - type: recall_at_10 - value: 49.767 + value: 37.782 - type: recall_at_100 - value: 73.57000000000001 + value: 62.67 - type: recall_at_1000 - value: 91.842 + value: 85.03 - type: recall_at_20 - value: 57.498000000000005 + value: 45.2 - type: recall_at_3 - value: 35.888 + value: 26.506999999999998 - type: recall_at_5 - value: 41.801 + value: 31.113000000000003 - task: type: Retrieval dataset: @@ -798,75 +797,75 @@ model-index: revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 - value: 23.075000000000003 + value: 15.234 - type: map_at_10 - value: 29.584 + value: 20.939 - type: map_at_100 - value: 30.4 + value: 21.704 - type: map_at_1000 - value: 30.501 + value: 21.804000000000002 - type: map_at_20 - value: 30.051 + value: 21.311 - type: map_at_3 - value: 27.561000000000003 + value: 18.972 - type: map_at_5 - value: 28.603 + value: 19.929 - type: mrr_at_1 - value: 26.227 + value: 17.485 - type: mrr_at_10 - value: 32.647 + value: 23.267 - type: mrr_at_100 - value: 33.391999999999996 + value: 23.967 - type: mrr_at_1000 - value: 33.469 + value: 24.054000000000002 - type: mrr_at_20 - value: 33.053 + value: 23.604 - type: mrr_at_3 - value: 30.776999999999997 + value: 21.345 - type: mrr_at_5 - value: 31.828 + value: 22.303 - type: ndcg_at_1 - value: 26.227 + value: 17.485 - type: ndcg_at_10 - value: 33.582 + value: 24.744 - type: ndcg_at_100 - value: 37.814 + value: 28.801 - type: ndcg_at_1000 - value: 40.444 + value: 31.619999999999997 - type: ndcg_at_20 - value: 35.163 + value: 26.046000000000003 - type: ndcg_at_3 - value: 29.874000000000002 + value: 20.862 - type: ndcg_at_5 - value: 31.53 + value: 22.459 - type: precision_at_1 - value: 26.227 + value: 17.485 - type: precision_at_10 - value: 5.244999999999999 + value: 4.109999999999999 - type: precision_at_100 - value: 0.788 + value: 0.676 - type: precision_at_1000 - value: 0.11100000000000002 + value: 0.098 - type: precision_at_20 - value: 3.006 + value: 2.3619999999999997 - type: precision_at_3 - value: 12.73 + value: 9.254 - type: precision_at_5 - value: 8.741999999999999 + value: 6.503 - type: recall_at_1 - value: 23.075000000000003 + value: 15.234 - type: recall_at_10 - value: 42.894 + value: 34.48 - type: recall_at_100 - value: 62.721000000000004 + value: 53.225 - type: recall_at_1000 - value: 81.858 + value: 74.64699999999999 - type: recall_at_20 - value: 48.842 + value: 39.421 - type: recall_at_3 - value: 32.783 + value: 23.554 - type: recall_at_5 - value: 36.949 + value: 27.662 - task: type: Retrieval dataset: @@ -877,75 +876,75 @@ model-index: revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 - value: 17.028 + value: 9.564 - type: map_at_10 - value: 23.377 + value: 13.869000000000002 - type: map_at_100 - value: 24.399 + value: 14.728 - type: map_at_1000 - value: 24.524 + value: 14.853 - type: map_at_20 - value: 23.863 + value: 14.32 - type: map_at_3 - value: 21.274 + value: 12.307 - type: map_at_5 - value: 22.431 + value: 13.177 - type: mrr_at_1 - value: 20.578 + value: 11.941 - type: mrr_at_10 - value: 27.009 + value: 16.777 - type: mrr_at_100 - value: 27.889999999999997 + value: 17.571 - type: mrr_at_1000 - value: 27.969 + value: 17.663999999999998 - type: mrr_at_20 - value: 27.46 + value: 17.203 - type: mrr_at_3 - value: 24.959999999999997 + value: 15.067 - type: mrr_at_5 - value: 26.113999999999997 + value: 16.003999999999998 - type: ndcg_at_1 - value: 20.578 + value: 11.941 - type: ndcg_at_10 - value: 27.522999999999996 + value: 17.111 - type: ndcg_at_100 - value: 32.601 + value: 21.438 - type: ndcg_at_1000 - value: 35.636 + value: 24.756 - type: ndcg_at_20 - value: 29.132 + value: 18.616 - type: ndcg_at_3 - value: 23.771 + value: 14.143 - type: ndcg_at_5 - value: 25.539 + value: 15.501000000000001 - type: precision_at_1 - value: 20.578 + value: 11.941 - type: precision_at_10 - value: 4.962 + value: 3.304 - type: precision_at_100 - value: 0.8880000000000001 + value: 0.658 - type: precision_at_1000 - value: 0.132 + value: 0.11100000000000002 - type: precision_at_20 - value: 2.959 + value: 2.077 - type: precision_at_3 - value: 11.068999999999999 + value: 6.882000000000001 - type: precision_at_5 - value: 8.052 + value: 5.12 - type: recall_at_1 - value: 17.028 + value: 9.564 - type: recall_at_10 - value: 36.266 + value: 24.068 - type: recall_at_100 - value: 59.556 + value: 43.759 - type: recall_at_1000 - value: 81.416 + value: 68.101 - type: recall_at_20 - value: 42.303000000000004 + value: 29.657 - type: recall_at_3 - value: 25.858999999999998 + value: 15.68 - type: recall_at_5 - value: 30.422 + value: 19.238 - task: type: Retrieval dataset: @@ -956,75 +955,75 @@ model-index: revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 - value: 25.863000000000003 + value: 16.171 - type: map_at_10 - value: 33.586 + value: 22.142 - type: map_at_100 - value: 34.682 + value: 23.261000000000003 - type: map_at_1000 - value: 34.791 + value: 23.371 - type: map_at_20 - value: 34.182 + value: 22.766000000000002 - type: map_at_3 - value: 31.044 + value: 20.251 - type: map_at_5 - value: 32.507000000000005 + value: 21.349 - type: mrr_at_1 - value: 30.131000000000004 + value: 19.403000000000002 - type: mrr_at_10 - value: 37.518 + value: 25.619999999999997 - type: mrr_at_100 - value: 38.355 + value: 26.659 - type: mrr_at_1000 - value: 38.425 + value: 26.735 - type: mrr_at_20 - value: 37.961 + value: 26.212000000000003 - type: mrr_at_3 - value: 35.059000000000005 + value: 23.694000000000003 - type: mrr_at_5 - value: 36.528 + value: 24.781 - type: ndcg_at_1 - value: 30.131000000000004 + value: 19.403000000000002 - type: ndcg_at_10 - value: 38.387 + value: 26.104 - type: ndcg_at_100 - value: 43.617 + value: 31.724000000000004 - type: ndcg_at_1000 - value: 46.038000000000004 + value: 34.581 - type: ndcg_at_20 - value: 40.261 + value: 28.231 - type: ndcg_at_3 - value: 33.722 + value: 22.464000000000002 - type: ndcg_at_5 - value: 36.013 + value: 24.233 - type: precision_at_1 - value: 30.131000000000004 + value: 19.403000000000002 - type: precision_at_10 - value: 6.297 + value: 4.422000000000001 - type: precision_at_100 - value: 1.008 + value: 0.8170000000000001 - type: precision_at_1000 - value: 0.132 + value: 0.11800000000000001 - type: precision_at_20 - value: 3.689 + value: 2.78 - type: precision_at_3 - value: 15.049999999999999 + value: 10.168000000000001 - type: precision_at_5 - value: 10.634 + value: 7.295 - type: recall_at_1 - value: 25.863000000000003 + value: 16.171 - type: recall_at_10 - value: 49.101 + value: 34.899 - type: recall_at_100 - value: 72.286 + value: 60.197 - type: recall_at_1000 - value: 89.14 + value: 80.798 - type: recall_at_20 - value: 55.742999999999995 + value: 42.591 - type: recall_at_3 - value: 36.513 + value: 25.024 - type: recall_at_5 - value: 42.204 + value: 29.42 - task: type: Retrieval dataset: @@ -1035,75 +1034,75 @@ model-index: revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 - value: 24.747 + value: 16.412 - type: map_at_10 - value: 32.067 + value: 23.138 - type: map_at_100 - value: 33.739999999999995 + value: 24.46 - type: map_at_1000 - value: 33.952 + value: 24.668 - type: map_at_20 - value: 32.927 + value: 23.791 - type: map_at_3 - value: 29.736 + value: 20.965 - type: map_at_5 - value: 30.996000000000002 + value: 22.005 - type: mrr_at_1 - value: 29.644 + value: 20.949 - type: mrr_at_10 - value: 36.683 + value: 27.46 - type: mrr_at_100 - value: 37.808 + value: 28.546 - type: mrr_at_1000 - value: 37.858999999999995 + value: 28.619 - type: mrr_at_20 - value: 37.326 + value: 28.038999999999998 - type: mrr_at_3 - value: 34.42 + value: 25.461 - type: mrr_at_5 - value: 35.626000000000005 + value: 26.528000000000002 - type: ndcg_at_1 - value: 29.644 + value: 20.949 - type: ndcg_at_10 - value: 36.989 + value: 27.919 - type: ndcg_at_100 - value: 43.589 + value: 33.886 - type: ndcg_at_1000 - value: 46.133 + value: 37.284 - type: ndcg_at_20 - value: 39.403 + value: 29.876 - type: ndcg_at_3 - value: 33.273 + value: 24.246000000000002 - type: ndcg_at_5 - value: 34.853 + value: 25.607999999999997 - type: precision_at_1 - value: 29.644 + value: 20.949 - type: precision_at_10 - value: 6.8180000000000005 + value: 5.534 - type: precision_at_100 - value: 1.4529999999999998 + value: 1.2409999999999999 - type: precision_at_1000 - value: 0.23500000000000001 + value: 0.22 - type: precision_at_20 - value: 4.457 + value: 3.5180000000000002 - type: precision_at_3 - value: 15.152 + value: 11.726 - type: precision_at_5 - value: 10.711 + value: 8.498 - type: recall_at_1 - value: 24.747 + value: 16.412 - type: recall_at_10 - value: 45.714 + value: 37.012 - type: recall_at_100 - value: 75.212 + value: 64.702 - type: recall_at_1000 - value: 90.884 + value: 87.442 - type: recall_at_20 - value: 54.777 + value: 44.797 - type: recall_at_3 - value: 34.821999999999996 + value: 25.872 - type: recall_at_5 - value: 39.278999999999996 + value: 29.732999999999997 - task: type: Retrieval dataset: @@ -1114,75 +1113,75 @@ model-index: revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 - value: 19.261 + value: 11.158 - type: map_at_10 - value: 26.873 + value: 15.809999999999999 - type: map_at_100 - value: 27.938000000000002 + value: 16.821 - type: map_at_1000 - value: 28.060000000000002 + value: 16.925 - type: map_at_20 - value: 27.456000000000003 + value: 16.403000000000002 - type: map_at_3 - value: 24.834 + value: 13.791999999999998 - type: map_at_5 - value: 25.793 + value: 14.817 - type: mrr_at_1 - value: 20.887 + value: 12.384 - type: mrr_at_10 - value: 28.634999999999998 + value: 17.291999999999998 - type: mrr_at_100 - value: 29.609 + value: 18.271 - type: mrr_at_1000 - value: 29.698999999999998 + value: 18.360000000000003 - type: mrr_at_20 - value: 29.173 + value: 17.854999999999997 - type: mrr_at_3 - value: 26.741 + value: 15.096000000000002 - type: mrr_at_5 - value: 27.628000000000004 + value: 16.214000000000002 - type: ndcg_at_1 - value: 20.887 + value: 12.384 - type: ndcg_at_10 - value: 31.261 + value: 19.250999999999998 - type: ndcg_at_100 - value: 36.471 + value: 24.524 - type: ndcg_at_1000 - value: 39.245000000000005 + value: 27.624 - type: ndcg_at_20 - value: 33.209 + value: 21.387999999999998 - type: ndcg_at_3 - value: 27.195999999999998 + value: 14.995 - type: ndcg_at_5 - value: 28.786 + value: 16.861 - type: precision_at_1 - value: 20.887 + value: 12.384 - type: precision_at_10 - value: 4.9910000000000005 + value: 3.29 - type: precision_at_100 - value: 0.8210000000000001 + value: 0.632 - type: precision_at_1000 - value: 0.116 + value: 0.095 - type: precision_at_20 - value: 2.939 + value: 2.1260000000000003 - type: precision_at_3 - value: 11.892 + value: 6.47 - type: precision_at_5 - value: 8.133 + value: 4.917 - type: recall_at_1 - value: 19.261 + value: 11.158 - type: recall_at_10 - value: 42.806 + value: 28.737000000000002 - type: recall_at_100 - value: 66.715 + value: 53.400000000000006 - type: recall_at_1000 - value: 86.921 + value: 77.509 - type: recall_at_20 - value: 50.205999999999996 + value: 36.969 - type: recall_at_3 - value: 31.790000000000003 + value: 17.197000000000003 - type: recall_at_5 - value: 35.527 + value: 21.701 - task: type: Retrieval dataset: @@ -1193,75 +1192,75 @@ model-index: revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 - value: 9.009 + value: 7.172000000000001 - type: map_at_10 - value: 14.629 + value: 11.935 - type: map_at_100 - value: 16.092000000000002 + value: 13.305 - type: map_at_1000 - value: 16.267 + value: 13.517000000000001 - type: map_at_20 - value: 15.384999999999998 + value: 12.589 - type: map_at_3 - value: 12.280000000000001 + value: 9.9 - type: map_at_5 - value: 13.442000000000002 + value: 10.839 - type: mrr_at_1 - value: 20.0 + value: 15.895999999999999 - type: mrr_at_10 - value: 29.298000000000002 + value: 24.215999999999998 - type: mrr_at_100 - value: 30.375999999999998 + value: 25.418000000000003 - type: mrr_at_1000 - value: 30.436999999999998 + value: 25.480000000000004 - type: mrr_at_20 - value: 29.956 + value: 24.934 - type: mrr_at_3 - value: 26.362999999999996 + value: 21.064 - type: mrr_at_5 - value: 28.021 + value: 22.676 - type: ndcg_at_1 - value: 20.0 + value: 15.895999999999999 - type: ndcg_at_10 - value: 21.234 + value: 17.69 - type: ndcg_at_100 - value: 27.687 + value: 24.232 - type: ndcg_at_1000 - value: 31.325999999999997 + value: 28.405 - type: ndcg_at_20 - value: 23.631 + value: 19.933999999999997 - type: ndcg_at_3 - value: 17.101 + value: 13.761000000000001 - type: ndcg_at_5 - value: 18.501 + value: 14.963000000000001 - type: precision_at_1 - value: 20.0 + value: 15.895999999999999 - type: precision_at_10 - value: 6.651 + value: 5.733 - type: precision_at_100 - value: 1.347 + value: 1.266 - type: precision_at_1000 - value: 0.201 + value: 0.203 - type: precision_at_20 - value: 4.316 + value: 3.798 - type: precision_at_3 - value: 12.53 + value: 10.076 - type: precision_at_5 - value: 9.707 + value: 7.9479999999999995 - type: recall_at_1 - value: 9.009 + value: 7.172000000000001 - type: recall_at_10 - value: 25.824 + value: 22.149 - type: recall_at_100 - value: 48.535000000000004 + value: 45.491 - type: recall_at_1000 - value: 69.44399999999999 + value: 69.34 - type: recall_at_20 - value: 32.78 + value: 28.634999999999998 - type: recall_at_3 - value: 15.693999999999999 + value: 12.701 - type: recall_at_5 - value: 19.59 + value: 15.952 - task: type: Retrieval dataset: @@ -1272,75 +1271,75 @@ model-index: revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 - value: 7.454 + value: 7.101 - type: map_at_10 - value: 15.675 + value: 15.125 - type: map_at_100 - value: 21.335 + value: 20.026 - type: map_at_1000 - value: 22.639 + value: 21.194 - type: map_at_20 - value: 17.822 + value: 17.008000000000003 - type: map_at_3 - value: 11.609 + value: 10.915999999999999 - type: map_at_5 - value: 13.342 + value: 12.705 - type: mrr_at_1 - value: 56.25 + value: 53.5 - type: mrr_at_10 - value: 65.30799999999999 + value: 63.475 - type: mrr_at_100 - value: 65.90599999999999 + value: 63.998 - type: mrr_at_1000 - value: 65.92099999999999 + value: 64.019 - type: mrr_at_20 - value: 65.74600000000001 + value: 63.800999999999995 - type: mrr_at_3 - value: 63.333 + value: 62.041999999999994 - type: mrr_at_5 - value: 64.521 + value: 62.678999999999995 - type: ndcg_at_1 - value: 44.625 + value: 41.875 - type: ndcg_at_10 - value: 33.881 + value: 32.967 - type: ndcg_at_100 - value: 37.775999999999996 + value: 35.557 - type: ndcg_at_1000 - value: 44.956 + value: 42.537000000000006 - type: ndcg_at_20 - value: 33.451 + value: 31.930999999999997 - type: ndcg_at_3 - value: 37.72 + value: 36.67 - type: ndcg_at_5 - value: 35.811 + value: 34.474 - type: precision_at_1 - value: 56.25 + value: 53.5 - type: precision_at_10 - value: 27.175 + value: 27.0 - type: precision_at_100 - value: 8.448 + value: 7.872999999999999 - type: precision_at_1000 - value: 1.809 + value: 1.637 - type: precision_at_20 - value: 20.262 + value: 19.487 - type: precision_at_3 - value: 41.333 + value: 41.583 - type: precision_at_5 - value: 35.199999999999996 + value: 34.699999999999996 - type: recall_at_1 - value: 7.454 + value: 7.101 - type: recall_at_10 - value: 20.355999999999998 + value: 20.408 - type: recall_at_100 - value: 43.168 + value: 40.286 - type: recall_at_1000 - value: 66.559 + value: 63.49399999999999 - type: recall_at_20 - value: 26.785999999999998 + value: 25.478 - type: recall_at_3 - value: 13.052 + value: 12.278 - type: recall_at_5 - value: 15.733 + value: 15.392 - task: type: Classification dataset: @@ -1351,9 +1350,9 @@ model-index: revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy - value: 45.44499999999999 + value: 44.79 - type: f1 - value: 40.581418056070994 + value: 39.606429663804356 - task: type: Retrieval dataset: @@ -1364,75 +1363,75 @@ model-index: revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 - value: 46.339000000000006 + value: 27.898 - type: map_at_10 - value: 57.87 + value: 39.315 - type: map_at_100 - value: 58.447 + value: 40.219 - type: map_at_1000 - value: 58.474000000000004 + value: 40.268 - type: map_at_20 - value: 58.241 + value: 39.893 - type: map_at_3 - value: 55.336 + value: 35.993 - type: map_at_5 - value: 56.879000000000005 + value: 38.016 - type: mrr_at_1 - value: 49.91 + value: 30.003 - type: mrr_at_10 - value: 61.55199999999999 + value: 41.85 - type: mrr_at_100 - value: 62.07 + value: 42.722 - type: mrr_at_1000 - value: 62.086 + value: 42.760999999999996 - type: mrr_at_20 - value: 61.899 + value: 42.419000000000004 - type: mrr_at_3 - value: 59.108000000000004 + value: 38.451 - type: mrr_at_5 - value: 60.622 + value: 40.547 - type: ndcg_at_1 - value: 49.91 + value: 30.003 - type: ndcg_at_10 - value: 63.970000000000006 + value: 45.907 - type: ndcg_at_100 - value: 66.625 + value: 50.198 - type: ndcg_at_1000 - value: 67.221 + value: 51.405 - type: ndcg_at_20 - value: 65.261 + value: 47.97 - type: ndcg_at_3 - value: 59.059 + value: 39.234 - type: ndcg_at_5 - value: 61.68900000000001 + value: 42.844 - type: precision_at_1 - value: 49.91 + value: 30.003 - type: precision_at_10 - value: 8.699 + value: 7.0040000000000004 - type: precision_at_100 - value: 1.015 + value: 0.9259999999999999 - type: precision_at_1000 - value: 0.108 + value: 0.104 - type: precision_at_20 - value: 4.6370000000000005 + value: 3.9510000000000005 - type: precision_at_3 - value: 23.942 + value: 16.647000000000002 - type: precision_at_5 - value: 15.815000000000001 + value: 11.914 - type: recall_at_1 - value: 46.339000000000006 + value: 27.898 - type: recall_at_10 - value: 79.28 + value: 64.003 - type: recall_at_100 - value: 91.148 + value: 83.42500000000001 - type: recall_at_1000 - value: 95.438 + value: 92.448 - type: recall_at_20 - value: 84.187 + value: 71.93 - type: recall_at_3 - value: 66.019 + value: 46.12 - type: recall_at_5 - value: 72.394 + value: 54.812000000000005 - task: type: Retrieval dataset: @@ -1443,75 +1442,75 @@ model-index: revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 - value: 14.504 + value: 10.282 - type: map_at_10 - value: 24.099999999999998 + value: 16.141 - type: map_at_100 - value: 25.820999999999998 + value: 17.634 - type: map_at_1000 - value: 25.997999999999998 + value: 17.836 - type: map_at_20 - value: 25.003999999999998 + value: 16.99 - type: map_at_3 - value: 21.218999999999998 + value: 13.947000000000001 - type: map_at_5 - value: 22.744 + value: 15.149000000000001 - type: mrr_at_1 - value: 29.475 + value: 20.679 - type: mrr_at_10 - value: 38.072 + value: 26.966 - type: mrr_at_100 - value: 39.196999999999996 + value: 28.108 - type: mrr_at_1000 - value: 39.249 + value: 28.183999999999997 - type: mrr_at_20 - value: 38.757999999999996 + value: 27.672 - type: mrr_at_3 - value: 36.214 + value: 24.743000000000002 - type: mrr_at_5 - value: 37.094 + value: 25.916 - type: ndcg_at_1 - value: 29.475 + value: 20.679 - type: ndcg_at_10 - value: 30.708999999999996 + value: 21.291 - type: ndcg_at_100 - value: 37.744 + value: 27.884999999999998 - type: ndcg_at_1000 - value: 41.215 + value: 32.122 - type: ndcg_at_20 - value: 33.336 + value: 23.898 - type: ndcg_at_3 - value: 28.243000000000002 + value: 18.553 - type: ndcg_at_5 - value: 28.62 + value: 19.468 - type: precision_at_1 - value: 29.475 + value: 20.679 - type: precision_at_10 - value: 8.596 + value: 6.019 - type: precision_at_100 - value: 1.562 + value: 1.252 - type: precision_at_1000 - value: 0.219 + value: 0.201 - type: precision_at_20 - value: 5.394 + value: 4.0120000000000005 - type: precision_at_3 - value: 19.084 + value: 12.243 - type: precision_at_5 - value: 13.672999999999998 + value: 9.321 - type: recall_at_1 - value: 14.504 + value: 10.282 - type: recall_at_10 - value: 36.232 + value: 25.901999999999997 - type: recall_at_100 - value: 62.712 + value: 50.956999999999994 - type: recall_at_1000 - value: 83.864 + value: 76.935 - type: recall_at_20 - value: 44.357 + value: 34.104 - type: recall_at_3 - value: 26.029000000000003 + value: 16.973 - type: recall_at_5 - value: 29.909000000000002 + value: 20.549999999999997 - task: type: Retrieval dataset: @@ -1522,75 +1521,75 @@ model-index: revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 - value: 31.634 + value: 30.567 - type: map_at_10 - value: 45.007000000000005 + value: 42.314 - type: map_at_100 - value: 45.963 + value: 43.205 - type: map_at_1000 - value: 46.052 + value: 43.288 - type: map_at_20 - value: 45.550000000000004 + value: 42.812 - type: map_at_3 - value: 42.092 + value: 39.695 - type: map_at_5 - value: 43.832 + value: 41.214 - type: mrr_at_1 - value: 63.268 + value: 61.134 - type: mrr_at_10 - value: 70.691 + value: 68.57600000000001 - type: mrr_at_100 - value: 71.063 + value: 68.95599999999999 - type: mrr_at_1000 - value: 71.082 + value: 68.97999999999999 - type: mrr_at_20 - value: 70.917 + value: 68.818 - type: mrr_at_3 - value: 69.176 + value: 66.99300000000001 - type: mrr_at_5 - value: 70.132 + value: 67.919 - type: ndcg_at_1 - value: 63.268 + value: 61.134 - type: ndcg_at_10 - value: 54.205000000000005 + value: 51.518 - type: ndcg_at_100 - value: 57.847 + value: 55.022000000000006 - type: ndcg_at_1000 - value: 59.64 + value: 56.81699999999999 - type: ndcg_at_20 - value: 55.663 + value: 52.893 - type: ndcg_at_3 - value: 49.613 + value: 47.216 - type: ndcg_at_5 - value: 52.054 + value: 49.413000000000004 - type: precision_at_1 - value: 63.268 + value: 61.134 - type: precision_at_10 - value: 11.357000000000001 + value: 10.729 - type: precision_at_100 - value: 1.423 + value: 1.351 - type: precision_at_1000 - value: 0.166 + value: 0.159 - type: precision_at_20 - value: 6.148 + value: 5.8069999999999995 - type: precision_at_3 - value: 31.041999999999998 + value: 29.336000000000002 - type: precision_at_5 - value: 20.551 + value: 19.346 - type: recall_at_1 - value: 31.634 + value: 30.567 - type: recall_at_10 - value: 56.786 + value: 53.64600000000001 - type: recall_at_100 - value: 71.128 + value: 67.562 - type: recall_at_1000 - value: 82.97099999999999 + value: 79.521 - type: recall_at_20 - value: 61.47899999999999 + value: 58.069 - type: recall_at_3 - value: 46.563 + value: 44.004 - type: recall_at_5 - value: 51.376999999999995 + value: 48.366 - task: type: Classification dataset: @@ -1601,11 +1600,11 @@ model-index: revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy - value: 80.7996 + value: 71.5272 - type: ap - value: 74.98592172204835 + value: 65.49215755861609 - type: f1 - value: 80.77161545117626 + value: 71.4156268611186 - task: type: Retrieval dataset: @@ -1616,75 +1615,75 @@ model-index: revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 - value: 16.637 + value: 14.574000000000002 - type: map_at_10 - value: 27.331 + value: 23.966 - type: map_at_100 - value: 28.518 + value: 25.19 - type: map_at_1000 - value: 28.583 + value: 25.266 - type: map_at_20 - value: 28.031 + value: 24.668 - type: map_at_3 - value: 23.715 + value: 20.815 - type: map_at_5 - value: 25.758 + value: 22.576 - type: mrr_at_1 - value: 17.077 + value: 14.957 - type: mrr_at_10 - value: 27.807 + value: 24.413999999999998 - type: mrr_at_100 - value: 28.965999999999998 + value: 25.616 - type: mrr_at_1000 - value: 29.025000000000002 + value: 25.685999999999996 - type: mrr_at_20 - value: 28.499999999999996 + value: 25.11 - type: mrr_at_3 - value: 24.234 + value: 21.304000000000002 - type: mrr_at_5 - value: 26.257 + value: 23.047 - type: ndcg_at_1 - value: 17.077 + value: 14.957 - type: ndcg_at_10 - value: 33.607 + value: 29.49 - type: ndcg_at_100 - value: 39.593 + value: 35.734 - type: ndcg_at_1000 - value: 41.317 + value: 37.785000000000004 - type: ndcg_at_20 - value: 36.118 + value: 32.004 - type: ndcg_at_3 - value: 26.204 + value: 23.006999999999998 - type: ndcg_at_5 - value: 29.862 + value: 26.154 - type: precision_at_1 - value: 17.077 + value: 14.957 - type: precision_at_10 - value: 5.54 + value: 4.8500000000000005 - type: precision_at_100 - value: 0.857 + value: 0.8009999999999999 - type: precision_at_1000 - value: 0.101 + value: 0.098 - type: precision_at_20 - value: 3.2870000000000004 + value: 2.943 - type: precision_at_3 - value: 11.361 + value: 9.962 - type: precision_at_5 - value: 8.673 + value: 7.556 - type: recall_at_1 - value: 16.637 + value: 14.574000000000002 - type: recall_at_10 - value: 53.077 + value: 46.655 - type: recall_at_100 - value: 81.306 + value: 76.26899999999999 - type: recall_at_1000 - value: 94.72699999999999 + value: 92.303 - type: recall_at_20 - value: 62.855000000000004 + value: 56.424 - type: recall_at_3 - value: 32.897999999999996 + value: 28.874 - type: recall_at_5 - value: 41.697 + value: 36.441 - task: type: Classification dataset: @@ -1695,9 +1694,9 @@ model-index: revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy - value: 92.12494300045599 + value: 90.78887368901049 - type: f1 - value: 91.6522604757574 + value: 90.30465646125157 - task: type: Classification dataset: @@ -1708,9 +1707,9 @@ model-index: revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy - value: 71.86046511627907 + value: 68.71865025079799 - type: f1 - value: 53.8926541769729 + value: 50.7484789245504 - task: type: Classification dataset: @@ -1721,9 +1720,9 @@ model-index: revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy - value: 70.34633490248824 + value: 68.8399462004035 - type: f1 - value: 67.94196699295675 + value: 66.66574227334513 - task: type: Classification dataset: @@ -1734,9 +1733,9 @@ model-index: revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy - value: 74.88903833221251 + value: 73.74915938130464 - type: f1 - value: 74.54991713265153 + value: 73.61179700374726 - task: type: Clustering dataset: @@ -1747,9 +1746,9 @@ model-index: revision: 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type: Retrieval dataset: @@ -1852,75 +1851,75 @@ model-index: revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 - value: 21.590999999999998 + value: 15.110000000000001 - type: map_at_10 - value: 35.088 + value: 25.983 - type: map_at_100 - value: 36.386 + value: 27.332 - type: map_at_1000 - value: 36.439 + value: 27.406999999999996 - type: map_at_20 - value: 35.93 + value: 26.804 - type: map_at_3 - value: 30.985000000000003 + value: 22.182 - type: map_at_5 - value: 33.322 + value: 24.247 - type: mrr_at_1 - value: 24.189 + value: 17.236 - type: mrr_at_10 - value: 37.395 + value: 28.177999999999997 - type: mrr_at_100 - value: 38.449 + value: 29.346 - type: mrr_at_1000 - value: 38.486 + value: 29.401 - type: mrr_at_20 - value: 38.092999999999996 + value: 28.906 - type: mrr_at_3 - value: 33.686 + value: 24.593999999999998 - type: mrr_at_5 - value: 35.861 + value: 26.540999999999997 - type: ndcg_at_1 - value: 24.189 + value: 17.207 - type: ndcg_at_10 - value: 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59.483301827347205 + value: 58.792146820315835 - type: cos_sim_recall - value: 74.72295514511873 + value: 72.69129287598945 - type: dot_accuracy - value: 81.95148119449246 + value: 81.47463789712106 - type: dot_ap - value: 60.71125646179137 + value: 58.234902049577684 - type: dot_f1 - value: 58.44781026182928 + value: 56.73442037078401 - type: dot_precision - value: 52.65496086312672 + value: 49.18667699457785 - type: dot_recall - value: 65.67282321899735 + value: 67.01846965699208 - type: euclidean_accuracy - value: 84.84830422602371 + value: 84.30589497526375 - type: euclidean_ap - value: 69.97192936786296 + value: 68.07824251821404 - type: euclidean_f1 - value: 66.53649011471808 + value: 65.09073543457498 - type: euclidean_precision - value: 61.898274296094456 + value: 59.44177932839075 - type: euclidean_recall value: 71.92612137203166 - type: manhattan_accuracy - value: 84.75889610776659 + value: 84.24032902187518 - type: manhattan_ap - value: 69.75691180376053 + value: 67.76838044141897 - type: manhattan_f1 - value: 66.32788868723533 + value: 64.75698520779525 - type: manhattan_precision - value: 61.2513966480447 + value: 58.333333333333336 - type: manhattan_recall - value: 72.32189973614776 + value: 72.77044854881267 - type: max_accuracy - value: 84.84830422602371 + value: 84.30589497526375 - type: max_ap - value: 69.97192936786296 + value: 68.07824251821404 - type: max_f1 - value: 66.53649011471808 + value: 65.09073543457498 - task: type: PairClassification dataset: @@ -2761,55 +2760,55 @@ model-index: revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy - value: 88.43287926417511 + value: 88.2951061435169 - type: cos_sim_ap - value: 85.07378179191598 + value: 84.74905878045149 - type: cos_sim_f1 - value: 77.50230244980658 + value: 77.01659871869538 - type: cos_sim_precision - value: 74.30246521155613 + value: 73.0392156862745 - type: cos_sim_recall - value: 80.99014474899907 + value: 81.45210963966738 - type: dot_accuracy - value: 86.946481934257 + value: 86.37598478674273 - type: dot_ap - value: 80.90485630835825 + value: 79.17253140971533 - type: dot_f1 - value: 74.43342263413221 + value: 73.19411657889958 - type: dot_precision - value: 70.24736914035807 + value: 69.27201484842236 - type: dot_recall - value: 79.1499846011703 + value: 77.58700338774254 - type: euclidean_accuracy - value: 88.49303372530757 + value: 88.29122521054062 - type: euclidean_ap - value: 85.08920672765427 + value: 84.64901724668165 - type: euclidean_f1 - value: 77.53514807059526 + value: 76.99685189252507 - type: euclidean_precision - value: 75.3707473102646 + value: 73.39148639218422 - type: euclidean_recall - value: 79.82753310748383 + value: 80.97474591931014 - type: manhattan_accuracy - value: 88.47168859393798 + value: 88.29316567702877 - type: manhattan_ap - value: 85.01816084029292 + value: 84.5869003947086 - type: manhattan_f1 - value: 77.36513181524315 + value: 76.9094138543517 - type: manhattan_precision - value: 72.5057223643463 + value: 74.03818751781134 - type: manhattan_recall - value: 82.9226978749615 + value: 80.01231906375116 - type: max_accuracy - value: 88.49303372530757 + value: 88.2951061435169 - type: max_ap - value: 85.08920672765427 + value: 84.74905878045149 - type: max_f1 - value: 77.53514807059526 + value: 77.01659871869538 --- -# Ivysaur +# Bulbasaur -This is a fine-tune of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny) using [qa-assistant](https://huggingface.co/datasets/Mihaiii/qa-assistant). +This is a distill of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny) trained using [qa-assistant](https://huggingface.co/datasets/Mihaiii/qa-assistant). ## Intended purpose @@ -2829,7 +2828,7 @@ Then you can use the model like this: from sentence_transformers import SentenceTransformer sentences = ["This is an example sentence", "Each sentence is converted"] -model = SentenceTransformer('Mihaiii/Ivysaur') +model = SentenceTransformer('Mihaiii/Bulbasaur') embeddings = model.encode(sentences) print(embeddings) ``` @@ -2855,8 +2854,8 @@ def mean_pooling(model_output, attention_mask): sentences = ['This is an example sentence', 'Each sentence is converted'] # Load model from HuggingFace Hub -tokenizer = AutoTokenizer.from_pretrained('Mihaiii/Ivysaur') -model = AutoModel.from_pretrained('Mihaiii/Ivysaur') +tokenizer = AutoTokenizer.from_pretrained('Mihaiii/Bulbasaur') +model = AutoModel.from_pretrained('Mihaiii/Bulbasaur') # Tokenize sentences encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')