diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -1,4 +1,5 @@ --- +base_model: TaylorAI/gte-tiny license: mit library_name: sentence-transformers pipeline_tag: sentence-similarity @@ -11,7 +12,7 @@ tags: datasets: - Mihaiii/qa-assistant model-index: -- name: Bulbasaur +- name: Ivysaur results: - task: type: Classification @@ -23,11 +24,11 @@ model-index: revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy - value: 71.86567164179104 + value: 72.1044776119403 - type: ap - value: 34.08685244750869 + value: 35.09105788324913 - type: f1 - value: 65.66014356237362 + value: 66.26967715703572 - task: type: Classification dataset: @@ -38,11 +39,11 @@ model-index: revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy - value: 78.78927499999999 + value: 86.686075 - type: ap - value: 73.46960735629719 + value: 81.92716581685914 - type: f1 - value: 78.6951990840684 + value: 86.65902299160209 - task: type: Classification dataset: @@ -53,9 +54,9 @@ model-index: revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy - value: 39.312 + value: 42.698 - type: f1 - value: 38.94567141563064 + value: 42.287785312461885 - task: type: Retrieval dataset: @@ -66,75 +67,75 @@ model-index: revision: c22ab2a51041ffd869aaddef7af8d8215647e41a metrics: - type: map_at_1 - value: 22.191 + value: 30.441000000000003 - type: map_at_10 - value: 36.504 + value: 46.951 - type: map_at_100 - value: 37.676 + value: 47.788000000000004 - type: map_at_1000 - value: 37.693 + value: 47.794 - type: map_at_20 - value: 37.329 + value: 47.621 - type: map_at_3 - value: 31.840000000000003 + value: 42.295 - type: map_at_5 - value: 34.333000000000006 + value: 45.126 - type: mrr_at_1 - value: 23.186 + value: 31.65 - type: mrr_at_10 - value: 36.856 + value: 47.394999999999996 - type: mrr_at_100 - value: 38.048 + value: 48.238 - type: mrr_at_1000 - value: 38.065 + value: 48.245 - type: mrr_at_20 - value: 37.701 + value: 48.069 - type: mrr_at_3 - value: 32.16 + value: 42.852000000000004 - type: mrr_at_5 - value: 34.756 + value: 45.58 - type: ndcg_at_1 - value: 22.191 + value: 30.441000000000003 - type: ndcg_at_10 - value: 44.798 + value: 55.783 - type: ndcg_at_100 - value: 50.141999999999996 + value: 59.227 - type: ndcg_at_1000 - value: 50.599000000000004 + value: 59.376 - type: ndcg_at_20 - value: 47.778999999999996 + value: 58.18 - type: ndcg_at_3 - value: 35.071999999999996 + value: 46.291 - type: ndcg_at_5 - value: 39.574 + value: 51.405 - type: precision_at_1 - value: 22.191 + value: 30.441000000000003 - type: precision_at_10 - value: 7.148000000000001 + value: 8.378 - type: precision_at_100 - value: 0.9570000000000001 + value: 0.985 - type: precision_at_1000 - value: 0.099 + value: 0.1 - type: precision_at_20 - value: 4.1610000000000005 + value: 4.659 - type: precision_at_3 - value: 14.817 + value: 19.298000000000002 - type: precision_at_5 - value: 11.081000000000001 + value: 14.068 - type: recall_at_1 - value: 22.191 + value: 30.441000000000003 - type: recall_at_10 - value: 71.479 + value: 83.784 - type: recall_at_100 - value: 95.661 + value: 98.506 - type: recall_at_1000 - value: 99.289 + value: 99.644 - type: recall_at_20 - value: 83.21499999999999 + value: 93.172 - type: recall_at_3 - value: 44.452000000000005 + value: 57.894999999999996 - type: recall_at_5 - value: 55.405 + value: 70.341 - task: type: Clustering dataset: @@ -145,9 +146,9 @@ model-index: revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d metrics: - type: v_measure - value: 40.283298409035076 + value: 46.39249132731755 - type: v_measures - value: [0.3532106296315629, 0.38211196645121454, 0.4115695136452048, 0.41137132653792025, 0.3837736540549879, 0.3747132869956856, 0.39691152506736527, 0.39788336468446533, 0.3642563557059312, 0.41116083049947033, 0.45922387863541325, 0.469635375348701, 0.46766327774202016, 0.4625872980544393, 0.47185794625113725, 0.47528841611119615, 0.4772024530512538, 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33.819 + - type: map_at_3 + value: 30.636500000000005 + - type: map_at_5 + value: 32.02091666666667 + - type: mrr_at_1 + value: 29.478749999999998 + - type: mrr_at_10 + value: 37.385 + - type: mrr_at_100 + value: 38.23491666666667 + - type: mrr_at_1000 + value: 38.298833333333334 + - type: mrr_at_20 + value: 37.87508333333333 + - type: mrr_at_3 + value: 35.089666666666666 + - type: mrr_at_5 + value: 36.36816666666667 + - type: ndcg_at_1 + value: 29.478749999999998 + - type: ndcg_at_10 + value: 38.2035 + - type: ndcg_at_100 + value: 43.301083333333324 + - type: ndcg_at_1000 + value: 45.758666666666656 + - type: ndcg_at_20 + value: 40.15116666666667 + - type: ndcg_at_3 + value: 33.86033333333334 + - type: ndcg_at_5 + value: 35.81266666666666 + - type: precision_at_1 + value: 29.478749999999998 + - type: precision_at_10 + value: 6.642833333333334 + - type: precision_at_100 + value: 1.08425 + - type: precision_at_1000 + value: 0.14850000000000002 + - type: precision_at_20 + value: 3.948083333333334 + - type: precision_at_3 + value: 15.511 + - type: precision_at_5 + value: 10.929833333333333 + - type: recall_at_1 + value: 24.78675 + - type: recall_at_10 + value: 48.9305 + - type: recall_at_100 + value: 71.49416666666666 + - type: recall_at_1000 + value: 88.54375 + - type: recall_at_20 + value: 56.06475 + - type: recall_at_3 + value: 36.66891666666666 + - type: recall_at_5 + value: 41.790499999999994 - task: type: Retrieval dataset: @@ -244,75 +337,75 @@ model-index: revision: f46a197baaae43b4f621051089b82a364682dfeb metrics: - type: map_at_1 - value: 24.271 + value: 30.793 - type: map_at_10 - value: 33.5 + value: 42.254000000000005 - type: map_at_100 - value: 34.818 + value: 43.569 - type: map_at_1000 - value: 34.967 + value: 43.714999999999996 - type: map_at_20 - value: 34.238 + value: 42.994 - type: map_at_3 - value: 30.488 + value: 39.007999999999996 - type: map_at_5 - value: 32.303 + value: 40.488 - type: mrr_at_1 - value: 30.615 + value: 38.34 - type: mrr_at_10 - value: 39.076 + value: 48.274 - type: mrr_at_100 - value: 40.022000000000006 + value: 48.946 - type: mrr_at_1000 - value: 40.082 + value: 49.001 - type: mrr_at_20 - value: 39.669 + value: 48.701 - type: mrr_at_3 - value: 36.552 + value: 45.756 - type: mrr_at_5 - value: 38.096999999999994 + value: 47.036 - type: ndcg_at_1 - value: 30.615 + value: 38.34 - type: ndcg_at_10 - value: 39.106 + value: 48.622 - type: ndcg_at_100 - value: 44.519 + value: 53.288999999999994 - type: ndcg_at_1000 - value: 47.274 + value: 55.614 - type: ndcg_at_20 - value: 41.289 + value: 50.495000000000005 - type: ndcg_at_3 - value: 34.55 + value: 43.852999999999994 - type: ndcg_at_5 - value: 36.815999999999995 + value: 45.442 - type: precision_at_1 - value: 30.615 + value: 38.34 - type: precision_at_10 - value: 7.5249999999999995 + value: 9.413 - type: precision_at_100 - value: 1.282 + value: 1.4749999999999999 - type: precision_at_1000 - value: 0.181 + value: 0.19499999999999998 - type: precision_at_20 - value: 4.549 + value: 5.494000000000001 - type: precision_at_3 - value: 16.643 + value: 20.935000000000002 - type: precision_at_5 - value: 12.275 + value: 14.735000000000001 - type: recall_at_1 - value: 24.271 + value: 30.793 - type: recall_at_10 - value: 49.714000000000006 + value: 60.455000000000005 - type: recall_at_100 - value: 72.792 + value: 80.061 - type: recall_at_1000 - value: 91.21000000000001 + value: 95.322 - type: recall_at_20 - value: 57.799 + value: 67.27 - type: recall_at_3 - value: 36.494 + value: 46.296 - type: recall_at_5 - value: 42.764 + value: 51.139 - task: type: Retrieval dataset: @@ -323,75 +416,75 @@ model-index: revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 metrics: - type: map_at_1 - value: 19.414 + value: 27.93 - type: map_at_10 - value: 25.766 + value: 36.085 - type: map_at_100 - value: 26.627000000000002 + value: 37.192 - type: map_at_1000 - value: 26.749000000000002 + value: 37.324 - type: map_at_20 - value: 26.201999999999998 + value: 36.614999999999995 - type: map_at_3 - value: 23.738 + value: 33.452 - type: map_at_5 - value: 24.829 + value: 35.088 - type: mrr_at_1 - value: 24.013 + value: 34.777 - type: mrr_at_10 - value: 30.208000000000002 + value: 41.865 - type: mrr_at_100 - value: 30.903000000000002 + value: 42.518 - type: mrr_at_1000 - value: 30.976 + value: 42.571 - type: mrr_at_20 - value: 30.585 + value: 42.219 - type: mrr_at_3 - value: 28.376 + value: 39.628 - type: mrr_at_5 - value: 29.462 + value: 41.038999999999994 - type: ndcg_at_1 - value: 24.013 + value: 34.777 - type: ndcg_at_10 - value: 29.871 + value: 41.095 - type: ndcg_at_100 - value: 33.867999999999995 + value: 45.286 - type: ndcg_at_1000 - value: 36.565 + value: 47.656 - type: ndcg_at_20 - value: 31.251 + value: 42.472 - type: ndcg_at_3 - value: 26.579000000000004 + value: 37.349 - type: ndcg_at_5 - value: 28.094 + value: 39.318 - type: precision_at_1 - value: 24.013 + value: 34.777 - type: precision_at_10 - value: 5.503 + value: 7.617999999999999 - type: precision_at_100 - value: 0.936 + value: 1.242 - type: precision_at_1000 - value: 0.14100000000000001 + value: 0.173 - type: precision_at_20 - value: 3.2800000000000002 + value: 4.481 - type: precision_at_3 - value: 12.590000000000002 + value: 17.771 - type: precision_at_5 - value: 8.994 + value: 12.687999999999999 - type: recall_at_1 - value: 19.414 + value: 27.93 - type: recall_at_10 - value: 37.582 + value: 49.464000000000006 - type: recall_at_100 - value: 55.181000000000004 + value: 67.64099999999999 - type: recall_at_1000 - value: 73.342 + value: 83.066 - type: recall_at_20 - value: 42.596000000000004 + value: 54.452999999999996 - type: recall_at_3 - value: 28.102 + value: 38.157000000000004 - type: recall_at_5 - value: 32.267 + value: 43.829 - task: type: Retrieval dataset: @@ -402,75 +495,75 @@ model-index: revision: 4885aa143210c98657558c04aaf3dc47cfb54340 metrics: - type: map_at_1 - value: 31.5 + value: 37.332 - type: map_at_10 - value: 42.179 + value: 49.146 - type: map_at_100 - value: 43.231 + value: 50.222 - type: map_at_1000 - value: 43.302 + value: 50.281 - type: map_at_20 - value: 42.786 + value: 49.802 - type: map_at_3 - value: 39.17 + value: 46.264 - type: map_at_5 - value: 40.854 + value: 47.912 - type: mrr_at_1 - value: 36.113 + value: 43.009 - type: mrr_at_10 - value: 45.378 + value: 52.586999999999996 - type: mrr_at_100 - value: 46.153 + value: 53.323 - type: mrr_at_1000 - value: 46.194 + value: 53.352999999999994 - type: mrr_at_20 - value: 45.831 + value: 53.04299999999999 - type: mrr_at_3 - value: 42.947 + value: 50.261 - type: mrr_at_5 - value: 44.339 + value: 51.615 - type: ndcg_at_1 - value: 36.113 + value: 43.009 - type: ndcg_at_10 - value: 47.616 + value: 54.652 - type: ndcg_at_100 - value: 52.125 + value: 58.918000000000006 - type: ndcg_at_1000 - value: 53.717999999999996 + value: 60.172000000000004 - type: ndcg_at_20 - value: 49.495 + value: 56.554 - type: ndcg_at_3 - value: 42.354 + value: 49.757 - type: ndcg_at_5 - value: 44.885999999999996 + value: 52.169 - type: precision_at_1 - value: 36.113 + value: 43.009 - type: precision_at_10 - value: 7.799 + value: 8.715 - type: precision_at_100 - value: 1.093 + value: 1.1780000000000002 - type: precision_at_1000 - value: 0.129 + value: 0.133 - type: precision_at_20 - value: 4.4670000000000005 + value: 4.931 - type: precision_at_3 - value: 19.017999999999997 + value: 22.153 - type: precision_at_5 - value: 13.254 + value: 15.146999999999998 - type: recall_at_1 - value: 31.5 + value: 37.332 - type: recall_at_10 - value: 60.67 + value: 67.55600000000001 - type: recall_at_100 - value: 80.484 + value: 85.885 - type: recall_at_1000 - value: 92.04599999999999 + value: 94.87400000000001 - type: recall_at_20 - value: 67.644 + value: 74.568 - type: recall_at_3 - value: 46.671 + value: 54.419 - type: recall_at_5 - value: 52.723 + value: 60.288 - task: type: Retrieval dataset: @@ -481,75 +574,75 @@ model-index: revision: 5003b3064772da1887988e05400cf3806fe491f2 metrics: - type: map_at_1 - value: 17.339 + value: 24.09 - type: map_at_10 - value: 23.014000000000003 + value: 32.608 - type: map_at_100 - value: 23.918 + value: 33.571 - type: map_at_1000 - value: 24.027 + value: 33.668 - type: map_at_20 - value: 23.507 + value: 33.181 - type: map_at_3 - value: 21.176000000000002 + value: 30.091 - type: map_at_5 - value: 22.126 + value: 31.518 - type: mrr_at_1 - value: 18.531 + value: 25.763 - type: mrr_at_10 - value: 24.356 + value: 34.25 - type: mrr_at_100 - value: 25.247000000000003 + value: 35.134 - type: mrr_at_1000 - value: 25.338 + value: 35.207 - type: mrr_at_20 - value: 24.858 + value: 34.78 - type: mrr_at_3 - value: 22.542 + value: 31.807999999999996 - type: mrr_at_5 - value: 23.508000000000003 + value: 33.198 - type: ndcg_at_1 - value: 18.531 + value: 25.763 - type: ndcg_at_10 - value: 26.51 + value: 37.305 - type: ndcg_at_100 - value: 31.367 + value: 42.114000000000004 - type: ndcg_at_1000 - value: 34.38 + value: 44.467 - type: ndcg_at_20 - value: 28.328999999999997 + value: 39.272 - type: ndcg_at_3 - value: 22.861 + value: 32.405 - type: ndcg_at_5 - value: 24.456 + value: 34.775 - type: precision_at_1 - value: 18.531 + value: 25.763 - type: precision_at_10 - value: 4.147 + value: 5.729 - type: precision_at_100 - value: 0.695 + value: 0.853 - type: precision_at_1000 - value: 0.099 + value: 0.109 - type: precision_at_20 - value: 2.492 + value: 3.3329999999999997 - type: precision_at_3 - value: 9.793000000000001 + value: 13.71 - type: precision_at_5 - value: 6.825 + value: 9.65 - type: recall_at_1 - value: 17.339 + value: 24.09 - type: recall_at_10 - value: 36.010999999999996 + value: 50.161 - type: recall_at_100 - value: 59.040000000000006 + value: 72.419 - type: recall_at_1000 - value: 82.282 + value: 89.983 - type: recall_at_20 - value: 43.04 + value: 57.53 - type: recall_at_3 - value: 25.904 + value: 36.961 - type: recall_at_5 - value: 29.837000000000003 + value: 42.568 - task: type: Retrieval dataset: @@ -560,75 +653,75 @@ model-index: revision: 90fceea13679c63fe563ded68f3b6f06e50061de metrics: - type: map_at_1 - value: 9.251 + value: 16.333000000000002 - type: map_at_10 - value: 14.848 + value: 23.352999999999998 - type: map_at_100 - value: 15.940999999999999 + value: 24.618000000000002 - type: map_at_1000 - value: 16.055 + value: 24.743000000000002 - type: map_at_20 - value: 15.423 + value: 24.117 - type: map_at_3 - value: 12.556999999999999 + value: 21.013 - type: map_at_5 - value: 13.649000000000001 + value: 22.259 - type: mrr_at_1 - value: 12.313 + value: 20.398 - type: mrr_at_10 - value: 18.528 + value: 28.28 - type: mrr_at_100 - value: 19.522000000000002 + value: 29.307 - type: mrr_at_1000 - value: 19.601 + value: 29.381 - type: mrr_at_20 - value: 19.107 + value: 28.955 - type: mrr_at_3 - value: 16.231 + value: 25.933 - type: mrr_at_5 - value: 17.294999999999998 + value: 27.114 - type: ndcg_at_1 - value: 12.313 + value: 20.398 - type: ndcg_at_10 - value: 19.303 + value: 28.359 - type: ndcg_at_100 - value: 24.728 + value: 34.178999999999995 - type: ndcg_at_1000 - value: 27.823999999999998 + value: 37.112 - type: ndcg_at_20 - value: 21.318 + value: 30.982 - type: ndcg_at_3 - value: 14.848 + value: 24.104999999999997 - type: ndcg_at_5 - value: 16.509 + value: 25.877 - type: precision_at_1 - value: 12.313 + value: 20.398 - type: precision_at_10 - value: 4.03 + value: 5.2490000000000006 - type: precision_at_100 - value: 0.777 + value: 0.927 - type: precision_at_1000 - value: 0.11800000000000001 + value: 0.131 - type: precision_at_20 - value: 2.562 + value: 3.3520000000000003 - type: precision_at_3 - value: 7.546 + value: 11.733 - type: precision_at_5 - value: 5.672 + value: 8.433 - type: recall_at_1 - value: 9.251 + value: 16.333000000000002 - type: recall_at_10 - value: 29.677999999999997 + value: 39.082 - type: recall_at_100 - value: 53.586 + value: 64.269 - type: recall_at_1000 - value: 76.181 + value: 85.103 - type: recall_at_20 - value: 36.963 + value: 48.625 - type: recall_at_3 - value: 17.072000000000003 + value: 26.740000000000002 - type: recall_at_5 - value: 21.481 + value: 31.519000000000002 - task: type: Retrieval dataset: @@ -639,75 +732,75 @@ model-index: revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 metrics: - type: map_at_1 - value: 21.135 + value: 26.857999999999997 - type: map_at_10 - value: 29.431 + value: 36.258 - type: map_at_100 - value: 30.662 + value: 37.556 - type: map_at_1000 - value: 30.792 + value: 37.669999999999995 - type: map_at_20 - value: 30.086000000000002 + value: 36.937 - type: map_at_3 - value: 26.593 + value: 33.306000000000004 - type: map_at_5 - value: 28.011999999999997 + value: 35.004999999999995 - type: mrr_at_1 - value: 26.564 + value: 33.397 - type: mrr_at_10 - value: 34.735 + value: 42.089 - type: mrr_at_100 - value: 35.65 + value: 42.864999999999995 - type: mrr_at_1000 - value: 35.711999999999996 + value: 42.915 - type: mrr_at_20 - value: 35.286 + value: 42.510999999999996 - type: mrr_at_3 - value: 32.002 + value: 39.413 - type: mrr_at_5 - value: 33.527 + value: 40.905 - type: ndcg_at_1 - value: 26.564 + value: 33.397 - type: ndcg_at_10 - value: 35.108 + value: 42.062 - type: ndcg_at_100 - value: 40.601 + value: 47.620000000000005 - type: ndcg_at_1000 - value: 43.329 + value: 49.816 - type: ndcg_at_20 - value: 37.192 + value: 44.096999999999994 - type: ndcg_at_3 - value: 29.961 + value: 37.165 - type: ndcg_at_5 - value: 32.131 + value: 39.493 - type: precision_at_1 - value: 26.564 + value: 33.397 - type: precision_at_10 - value: 6.564 + value: 7.5649999999999995 - type: precision_at_100 - value: 1.105 + value: 1.224 - type: precision_at_1000 - value: 0.154 + value: 0.16 - type: precision_at_20 - value: 3.941 + value: 4.495 - type: precision_at_3 - value: 14.212 + value: 17.613 - type: precision_at_5 - value: 10.337 + value: 12.589 - type: recall_at_1 - value: 21.135 + value: 26.857999999999997 - type: recall_at_10 - value: 47.242 + value: 53.900000000000006 - type: recall_at_100 - value: 70.645 + value: 77.595 - type: recall_at_1000 - value: 89.403 + value: 92.116 - type: recall_at_20 - value: 54.663 + value: 60.962 - type: recall_at_3 - value: 32.647 + value: 39.799 - type: recall_at_5 - value: 38.122 + value: 45.961 - task: type: Retrieval dataset: @@ -718,75 +811,75 @@ model-index: revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 metrics: - type: map_at_1 - value: 16.86 + value: 24.131 - type: map_at_10 - value: 23.477999999999998 + value: 33.016 - type: map_at_100 - value: 24.68 + value: 34.263 - type: map_at_1000 - value: 24.826999999999998 + value: 34.39 - type: map_at_20 - value: 24.122 + value: 33.703 - type: map_at_3 - value: 21.288999999999998 + value: 30.055 - type: map_at_5 - value: 22.453 + value: 31.651 - type: mrr_at_1 - value: 20.776 + value: 30.593999999999998 - type: mrr_at_10 - value: 28.029 + value: 38.786 - type: mrr_at_100 - value: 28.951 + value: 39.674 - type: mrr_at_1000 - value: 29.038000000000004 + value: 39.739000000000004 - type: mrr_at_20 - value: 28.546 + value: 39.322 - type: mrr_at_3 - value: 25.818 + value: 36.32 - type: mrr_at_5 - value: 26.994 + value: 37.787 - type: ndcg_at_1 - value: 20.776 + value: 30.593999999999998 - type: ndcg_at_10 - value: 28.152 + value: 38.606 - type: ndcg_at_100 - value: 33.82 + value: 44.116 - type: ndcg_at_1000 - value: 37.039 + value: 46.772999999999996 - type: ndcg_at_20 - value: 30.238 + value: 40.775 - type: ndcg_at_3 - value: 24.197 + value: 33.854 - type: ndcg_at_5 - value: 25.861 + value: 35.957 - type: precision_at_1 - value: 20.776 + value: 30.593999999999998 - type: precision_at_10 - value: 5.297000000000001 + value: 7.112 - type: precision_at_100 - value: 0.96 + value: 1.154 - type: precision_at_1000 - value: 0.14200000000000002 + value: 0.155 - type: precision_at_20 - value: 3.276 + value: 4.2410000000000005 - type: precision_at_3 - value: 11.606 + value: 16.323999999999998 - type: precision_at_5 - value: 8.356 + value: 11.644 - type: recall_at_1 - value: 16.86 + value: 24.131 - type: recall_at_10 - value: 37.782 + value: 49.767 - type: recall_at_100 - value: 62.67 + value: 73.57000000000001 - type: recall_at_1000 - value: 85.03 + value: 91.842 - type: recall_at_20 - value: 45.2 + value: 57.498000000000005 - type: recall_at_3 - value: 26.506999999999998 + value: 35.888 - type: recall_at_5 - value: 31.113000000000003 + value: 41.801 - task: type: Retrieval dataset: @@ -797,75 +890,75 @@ model-index: revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a metrics: - type: map_at_1 - value: 15.234 + value: 23.075000000000003 - type: map_at_10 - value: 20.939 + value: 29.584 - type: map_at_100 - value: 21.704 + value: 30.4 - type: map_at_1000 - value: 21.804000000000002 + value: 30.501 - type: map_at_20 - value: 21.311 + value: 30.051 - type: map_at_3 - value: 18.972 + value: 27.561000000000003 - type: map_at_5 - value: 19.929 + value: 28.603 - type: mrr_at_1 - value: 17.485 + value: 26.227 - type: mrr_at_10 - value: 23.267 + value: 32.647 - type: mrr_at_100 - value: 23.967 + value: 33.391999999999996 - type: mrr_at_1000 - value: 24.054000000000002 + value: 33.469 - type: mrr_at_20 - value: 23.604 + value: 33.053 - type: mrr_at_3 - value: 21.345 + value: 30.776999999999997 - type: mrr_at_5 - value: 22.303 + value: 31.828 - type: ndcg_at_1 - value: 17.485 + value: 26.227 - type: ndcg_at_10 - value: 24.744 + value: 33.582 - type: ndcg_at_100 - value: 28.801 + value: 37.814 - type: ndcg_at_1000 - value: 31.619999999999997 + value: 40.444 - type: ndcg_at_20 - value: 26.046000000000003 + value: 35.163 - type: ndcg_at_3 - value: 20.862 + value: 29.874000000000002 - type: ndcg_at_5 - value: 22.459 + value: 31.53 - type: precision_at_1 - value: 17.485 + value: 26.227 - type: precision_at_10 - value: 4.109999999999999 + value: 5.244999999999999 - type: precision_at_100 - value: 0.676 + value: 0.788 - type: precision_at_1000 - value: 0.098 + value: 0.11100000000000002 - type: precision_at_20 - value: 2.3619999999999997 + value: 3.006 - type: precision_at_3 - value: 9.254 + value: 12.73 - type: precision_at_5 - value: 6.503 + value: 8.741999999999999 - type: recall_at_1 - value: 15.234 + value: 23.075000000000003 - type: recall_at_10 - value: 34.48 + value: 42.894 - type: recall_at_100 - value: 53.225 + value: 62.721000000000004 - type: recall_at_1000 - value: 74.64699999999999 + value: 81.858 - type: recall_at_20 - value: 39.421 + value: 48.842 - type: recall_at_3 - value: 23.554 + value: 32.783 - type: recall_at_5 - value: 27.662 + value: 36.949 - task: type: Retrieval dataset: @@ -876,75 +969,75 @@ model-index: revision: 46989137a86843e03a6195de44b09deda022eec7 metrics: - type: map_at_1 - value: 9.564 + value: 17.028 - type: map_at_10 - value: 13.869000000000002 + value: 23.377 - type: map_at_100 - value: 14.728 + value: 24.399 - type: map_at_1000 - value: 14.853 + value: 24.524 - type: map_at_20 - value: 14.32 + value: 23.863 - type: map_at_3 - value: 12.307 + value: 21.274 - type: map_at_5 - value: 13.177 + value: 22.431 - type: mrr_at_1 - value: 11.941 + value: 20.578 - type: mrr_at_10 - value: 16.777 + value: 27.009 - type: mrr_at_100 - value: 17.571 + value: 27.889999999999997 - type: mrr_at_1000 - value: 17.663999999999998 + value: 27.969 - type: mrr_at_20 - value: 17.203 + value: 27.46 - type: mrr_at_3 - value: 15.067 + value: 24.959999999999997 - type: mrr_at_5 - value: 16.003999999999998 + value: 26.113999999999997 - type: ndcg_at_1 - value: 11.941 + value: 20.578 - type: ndcg_at_10 - value: 17.111 + value: 27.522999999999996 - type: ndcg_at_100 - value: 21.438 + value: 32.601 - type: ndcg_at_1000 - value: 24.756 + value: 35.636 - type: ndcg_at_20 - value: 18.616 + value: 29.132 - type: ndcg_at_3 - value: 14.143 + value: 23.771 - type: ndcg_at_5 - value: 15.501000000000001 + value: 25.539 - type: precision_at_1 - value: 11.941 + value: 20.578 - type: precision_at_10 - value: 3.304 + value: 4.962 - type: precision_at_100 - value: 0.658 + value: 0.8880000000000001 - type: precision_at_1000 - value: 0.11100000000000002 + value: 0.132 - type: precision_at_20 - value: 2.077 + value: 2.959 - type: precision_at_3 - value: 6.882000000000001 + value: 11.068999999999999 - type: precision_at_5 - value: 5.12 + value: 8.052 - type: recall_at_1 - value: 9.564 + value: 17.028 - type: recall_at_10 - value: 24.068 + value: 36.266 - type: recall_at_100 - value: 43.759 + value: 59.556 - type: recall_at_1000 - value: 68.101 + value: 81.416 - type: recall_at_20 - value: 29.657 + value: 42.303000000000004 - type: recall_at_3 - value: 15.68 + value: 25.858999999999998 - type: recall_at_5 - value: 19.238 + value: 30.422 - task: type: Retrieval dataset: @@ -955,75 +1048,75 @@ model-index: revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 metrics: - type: map_at_1 - value: 16.171 + value: 25.863000000000003 - type: map_at_10 - value: 22.142 + value: 33.586 - type: map_at_100 - value: 23.261000000000003 + value: 34.682 - type: map_at_1000 - value: 23.371 + value: 34.791 - type: map_at_20 - value: 22.766000000000002 + value: 34.182 - type: map_at_3 - value: 20.251 + value: 31.044 - type: map_at_5 - value: 21.349 + value: 32.507000000000005 - type: mrr_at_1 - value: 19.403000000000002 + value: 30.131000000000004 - type: mrr_at_10 - value: 25.619999999999997 + value: 37.518 - type: mrr_at_100 - value: 26.659 + value: 38.355 - type: mrr_at_1000 - value: 26.735 + value: 38.425 - type: mrr_at_20 - value: 26.212000000000003 + value: 37.961 - type: mrr_at_3 - value: 23.694000000000003 + value: 35.059000000000005 - type: mrr_at_5 - value: 24.781 + value: 36.528 - type: ndcg_at_1 - value: 19.403000000000002 + value: 30.131000000000004 - type: ndcg_at_10 - value: 26.104 + value: 38.387 - type: ndcg_at_100 - value: 31.724000000000004 + value: 43.617 - type: ndcg_at_1000 - value: 34.581 + value: 46.038000000000004 - type: ndcg_at_20 - value: 28.231 + value: 40.261 - type: ndcg_at_3 - value: 22.464000000000002 + value: 33.722 - type: ndcg_at_5 - value: 24.233 + value: 36.013 - type: precision_at_1 - value: 19.403000000000002 + value: 30.131000000000004 - type: precision_at_10 - value: 4.422000000000001 + value: 6.297 - type: precision_at_100 - value: 0.8170000000000001 + value: 1.008 - type: precision_at_1000 - value: 0.11800000000000001 + value: 0.132 - type: precision_at_20 - value: 2.78 + value: 3.689 - type: precision_at_3 - value: 10.168000000000001 + value: 15.049999999999999 - type: precision_at_5 - value: 7.295 + value: 10.634 - type: recall_at_1 - value: 16.171 + value: 25.863000000000003 - type: recall_at_10 - value: 34.899 + value: 49.101 - type: recall_at_100 - value: 60.197 + value: 72.286 - type: recall_at_1000 - value: 80.798 + value: 89.14 - type: recall_at_20 - value: 42.591 + value: 55.742999999999995 - type: recall_at_3 - value: 25.024 + value: 36.513 - type: recall_at_5 - value: 29.42 + value: 42.204 - task: type: Retrieval dataset: @@ -1034,75 +1127,75 @@ model-index: revision: 160c094312a0e1facb97e55eeddb698c0abe3571 metrics: - type: map_at_1 - value: 16.412 + value: 24.747 - type: map_at_10 - value: 23.138 + value: 32.067 - type: map_at_100 - value: 24.46 + value: 33.739999999999995 - type: map_at_1000 - value: 24.668 + value: 33.952 - type: map_at_20 - value: 23.791 + value: 32.927 - type: map_at_3 - value: 20.965 + value: 29.736 - type: map_at_5 - value: 22.005 + value: 30.996000000000002 - type: mrr_at_1 - value: 20.949 + value: 29.644 - type: mrr_at_10 - value: 27.46 + value: 36.683 - type: mrr_at_100 - value: 28.546 + value: 37.808 - type: mrr_at_1000 - value: 28.619 + value: 37.858999999999995 - type: mrr_at_20 - value: 28.038999999999998 + value: 37.326 - type: mrr_at_3 - value: 25.461 + value: 34.42 - type: mrr_at_5 - value: 26.528000000000002 + value: 35.626000000000005 - type: ndcg_at_1 - value: 20.949 + value: 29.644 - type: ndcg_at_10 - value: 27.919 + value: 36.989 - type: ndcg_at_100 - value: 33.886 + value: 43.589 - type: ndcg_at_1000 - value: 37.284 + value: 46.133 - type: ndcg_at_20 - value: 29.876 + value: 39.403 - type: ndcg_at_3 - value: 24.246000000000002 + value: 33.273 - type: ndcg_at_5 - value: 25.607999999999997 + value: 34.853 - type: precision_at_1 - value: 20.949 + value: 29.644 - type: precision_at_10 - value: 5.534 + value: 6.8180000000000005 - type: precision_at_100 - value: 1.2409999999999999 + value: 1.4529999999999998 - type: precision_at_1000 - value: 0.22 + value: 0.23500000000000001 - type: precision_at_20 - value: 3.5180000000000002 + value: 4.457 - type: precision_at_3 - value: 11.726 + value: 15.152 - type: precision_at_5 - value: 8.498 + value: 10.711 - type: recall_at_1 - value: 16.412 + value: 24.747 - type: recall_at_10 - value: 37.012 + value: 45.714 - type: recall_at_100 - value: 64.702 + value: 75.212 - type: recall_at_1000 - value: 87.442 + value: 90.884 - type: recall_at_20 - value: 44.797 + value: 54.777 - type: recall_at_3 - value: 25.872 + value: 34.821999999999996 - type: recall_at_5 - value: 29.732999999999997 + value: 39.278999999999996 - task: type: Retrieval dataset: @@ -1113,75 +1206,75 @@ model-index: revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 metrics: - type: map_at_1 - value: 11.158 + value: 19.261 - type: map_at_10 - value: 15.809999999999999 + value: 26.873 - type: map_at_100 - value: 16.821 + value: 27.938000000000002 - type: map_at_1000 - value: 16.925 + value: 28.060000000000002 - type: map_at_20 - value: 16.403000000000002 + value: 27.456000000000003 - type: map_at_3 - value: 13.791999999999998 + value: 24.834 - type: map_at_5 - value: 14.817 + value: 25.793 - type: mrr_at_1 - value: 12.384 + value: 20.887 - type: mrr_at_10 - value: 17.291999999999998 + value: 28.634999999999998 - type: mrr_at_100 - value: 18.271 + value: 29.609 - type: mrr_at_1000 - value: 18.360000000000003 + value: 29.698999999999998 - type: mrr_at_20 - value: 17.854999999999997 + value: 29.173 - type: mrr_at_3 - value: 15.096000000000002 + value: 26.741 - type: mrr_at_5 - value: 16.214000000000002 + value: 27.628000000000004 - type: ndcg_at_1 - value: 12.384 + value: 20.887 - type: ndcg_at_10 - value: 19.250999999999998 + value: 31.261 - type: ndcg_at_100 - value: 24.524 + value: 36.471 - type: ndcg_at_1000 - value: 27.624 + value: 39.245000000000005 - type: ndcg_at_20 - value: 21.387999999999998 + value: 33.209 - type: ndcg_at_3 - value: 14.995 + value: 27.195999999999998 - type: ndcg_at_5 - value: 16.861 + value: 28.786 - type: precision_at_1 - value: 12.384 + value: 20.887 - type: precision_at_10 - value: 3.29 + value: 4.9910000000000005 - type: precision_at_100 - value: 0.632 + value: 0.8210000000000001 - type: precision_at_1000 - value: 0.095 + value: 0.116 - type: precision_at_20 - value: 2.1260000000000003 + value: 2.939 - type: precision_at_3 - value: 6.47 + value: 11.892 - type: precision_at_5 - value: 4.917 + value: 8.133 - type: recall_at_1 - value: 11.158 + value: 19.261 - type: recall_at_10 - value: 28.737000000000002 + value: 42.806 - type: recall_at_100 - value: 53.400000000000006 + value: 66.715 - type: recall_at_1000 - value: 77.509 + value: 86.921 - type: recall_at_20 - value: 36.969 + value: 50.205999999999996 - type: recall_at_3 - value: 17.197000000000003 + value: 31.790000000000003 - type: recall_at_5 - value: 21.701 + value: 35.527 - task: type: Retrieval dataset: @@ -1192,75 +1285,75 @@ model-index: revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 metrics: - type: map_at_1 - value: 7.172000000000001 + value: 9.009 - type: map_at_10 - value: 11.935 + value: 14.629 - type: map_at_100 - value: 13.305 + value: 16.092000000000002 - type: map_at_1000 - value: 13.517000000000001 + value: 16.267 - type: map_at_20 - value: 12.589 + value: 15.384999999999998 - type: map_at_3 - value: 9.9 + value: 12.280000000000001 - type: map_at_5 - value: 10.839 + value: 13.442000000000002 - type: mrr_at_1 - value: 15.895999999999999 + value: 20.0 - type: mrr_at_10 - value: 24.215999999999998 + value: 29.298000000000002 - type: mrr_at_100 - value: 25.418000000000003 + value: 30.375999999999998 - type: mrr_at_1000 - value: 25.480000000000004 + value: 30.436999999999998 - type: mrr_at_20 - value: 24.934 + value: 29.956 - type: mrr_at_3 - value: 21.064 + value: 26.362999999999996 - type: mrr_at_5 - value: 22.676 + value: 28.021 - type: ndcg_at_1 - value: 15.895999999999999 + value: 20.0 - type: ndcg_at_10 - value: 17.69 + value: 21.234 - type: ndcg_at_100 - value: 24.232 + value: 27.687 - type: ndcg_at_1000 - value: 28.405 + value: 31.325999999999997 - type: ndcg_at_20 - value: 19.933999999999997 + value: 23.631 - type: ndcg_at_3 - value: 13.761000000000001 + value: 17.101 - type: ndcg_at_5 - value: 14.963000000000001 + value: 18.501 - type: precision_at_1 - value: 15.895999999999999 + value: 20.0 - type: precision_at_10 - value: 5.733 + value: 6.651 - type: precision_at_100 - value: 1.266 + value: 1.347 - type: precision_at_1000 - value: 0.203 + value: 0.201 - type: precision_at_20 - value: 3.798 + value: 4.316 - type: precision_at_3 - value: 10.076 + value: 12.53 - type: precision_at_5 - value: 7.9479999999999995 + value: 9.707 - type: recall_at_1 - value: 7.172000000000001 + value: 9.009 - type: recall_at_10 - value: 22.149 + value: 25.824 - type: recall_at_100 - value: 45.491 + value: 48.535000000000004 - type: recall_at_1000 - value: 69.34 + value: 69.44399999999999 - type: recall_at_20 - value: 28.634999999999998 + value: 32.78 - type: recall_at_3 - value: 12.701 + value: 15.693999999999999 - type: recall_at_5 - value: 15.952 + value: 19.59 - task: type: Retrieval dataset: @@ -1271,75 +1364,75 @@ model-index: revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 metrics: - type: map_at_1 - value: 7.101 + value: 7.454 - type: map_at_10 - value: 15.125 + value: 15.675 - type: map_at_100 - value: 20.026 + value: 21.335 - type: map_at_1000 - value: 21.194 + value: 22.639 - type: map_at_20 - value: 17.008000000000003 + value: 17.822 - type: map_at_3 - value: 10.915999999999999 + value: 11.609 - type: map_at_5 - value: 12.705 + value: 13.342 - type: mrr_at_1 - value: 53.5 + value: 56.25 - type: mrr_at_10 - value: 63.475 + value: 65.30799999999999 - type: mrr_at_100 - value: 63.998 + value: 65.90599999999999 - type: mrr_at_1000 - value: 64.019 + value: 65.92099999999999 - type: mrr_at_20 - value: 63.800999999999995 + value: 65.74600000000001 - type: mrr_at_3 - value: 62.041999999999994 + value: 63.333 - type: mrr_at_5 - value: 62.678999999999995 + value: 64.521 - type: ndcg_at_1 - value: 41.875 + value: 44.625 - type: ndcg_at_10 - value: 32.967 + value: 33.881 - type: ndcg_at_100 - value: 35.557 + value: 37.775999999999996 - type: ndcg_at_1000 - value: 42.537000000000006 + value: 44.956 - type: ndcg_at_20 - value: 31.930999999999997 + value: 33.451 - type: ndcg_at_3 - value: 36.67 + value: 37.72 - type: ndcg_at_5 - value: 34.474 + value: 35.811 - type: precision_at_1 - value: 53.5 + value: 56.25 - type: precision_at_10 - value: 27.0 + value: 27.175 - type: precision_at_100 - value: 7.872999999999999 + value: 8.448 - type: precision_at_1000 - value: 1.637 + value: 1.809 - type: precision_at_20 - value: 19.487 + value: 20.262 - type: precision_at_3 - value: 41.583 + value: 41.333 - type: precision_at_5 - value: 34.699999999999996 + value: 35.199999999999996 - type: recall_at_1 - value: 7.101 + value: 7.454 - type: recall_at_10 - value: 20.408 + value: 20.355999999999998 - type: recall_at_100 - value: 40.286 + value: 43.168 - type: recall_at_1000 - value: 63.49399999999999 + value: 66.559 - type: recall_at_20 - value: 25.478 + value: 26.785999999999998 - type: recall_at_3 - value: 12.278 + value: 13.052 - type: recall_at_5 - value: 15.392 + value: 15.733 - task: type: Classification dataset: @@ -1350,9 +1443,9 @@ model-index: revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 metrics: - type: accuracy - value: 44.79 + value: 45.44499999999999 - type: f1 - value: 39.606429663804356 + value: 40.581418056070994 - task: type: Retrieval dataset: @@ -1363,75 +1456,75 @@ model-index: revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 metrics: - type: map_at_1 - value: 27.898 + value: 46.339000000000006 - type: map_at_10 - value: 39.315 + value: 57.87 - type: map_at_100 - value: 40.219 + value: 58.447 - type: map_at_1000 - value: 40.268 + value: 58.474000000000004 - type: map_at_20 - value: 39.893 + value: 58.241 - type: map_at_3 - value: 35.993 + value: 55.336 - type: map_at_5 - value: 38.016 + value: 56.879000000000005 - type: mrr_at_1 - value: 30.003 + value: 49.91 - type: mrr_at_10 - value: 41.85 + value: 61.55199999999999 - type: mrr_at_100 - value: 42.722 + value: 62.07 - type: mrr_at_1000 - value: 42.760999999999996 + value: 62.086 - type: mrr_at_20 - value: 42.419000000000004 + value: 61.899 - type: mrr_at_3 - value: 38.451 + value: 59.108000000000004 - type: mrr_at_5 - value: 40.547 + value: 60.622 - type: ndcg_at_1 - value: 30.003 + value: 49.91 - type: ndcg_at_10 - value: 45.907 + value: 63.970000000000006 - type: ndcg_at_100 - value: 50.198 + value: 66.625 - type: ndcg_at_1000 - value: 51.405 + value: 67.221 - type: ndcg_at_20 - value: 47.97 + value: 65.261 - type: ndcg_at_3 - value: 39.234 + value: 59.059 - type: ndcg_at_5 - value: 42.844 + value: 61.68900000000001 - type: precision_at_1 - value: 30.003 + value: 49.91 - type: precision_at_10 - value: 7.0040000000000004 + value: 8.699 - type: precision_at_100 - value: 0.9259999999999999 + value: 1.015 - type: precision_at_1000 - value: 0.104 + value: 0.108 - type: precision_at_20 - value: 3.9510000000000005 + value: 4.6370000000000005 - type: precision_at_3 - value: 16.647000000000002 + value: 23.942 - type: precision_at_5 - value: 11.914 + value: 15.815000000000001 - type: recall_at_1 - value: 27.898 + value: 46.339000000000006 - type: recall_at_10 - value: 64.003 + value: 79.28 - type: recall_at_100 - value: 83.42500000000001 + value: 91.148 - type: recall_at_1000 - value: 92.448 + value: 95.438 - type: recall_at_20 - value: 71.93 + value: 84.187 - type: recall_at_3 - value: 46.12 + value: 66.019 - type: recall_at_5 - value: 54.812000000000005 + value: 72.394 - task: type: Retrieval dataset: @@ -1442,75 +1535,75 @@ model-index: revision: 27a168819829fe9bcd655c2df245fb19452e8e06 metrics: - type: map_at_1 - value: 10.282 + value: 14.504 - type: map_at_10 - value: 16.141 + value: 24.099999999999998 - type: map_at_100 - value: 17.634 + value: 25.820999999999998 - type: map_at_1000 - value: 17.836 + value: 25.997999999999998 - type: map_at_20 - value: 16.99 + value: 25.003999999999998 - type: map_at_3 - value: 13.947000000000001 + value: 21.218999999999998 - type: map_at_5 - value: 15.149000000000001 + value: 22.744 - type: mrr_at_1 - value: 20.679 + value: 29.475 - type: mrr_at_10 - value: 26.966 + value: 38.072 - type: mrr_at_100 - value: 28.108 + value: 39.196999999999996 - type: mrr_at_1000 - value: 28.183999999999997 + value: 39.249 - type: mrr_at_20 - value: 27.672 + value: 38.757999999999996 - type: mrr_at_3 - value: 24.743000000000002 + value: 36.214 - type: mrr_at_5 - value: 25.916 + value: 37.094 - type: ndcg_at_1 - value: 20.679 + value: 29.475 - type: ndcg_at_10 - value: 21.291 + value: 30.708999999999996 - type: ndcg_at_100 - value: 27.884999999999998 + value: 37.744 - type: ndcg_at_1000 - value: 32.122 + value: 41.215 - type: ndcg_at_20 - value: 23.898 + value: 33.336 - type: ndcg_at_3 - value: 18.553 + value: 28.243000000000002 - type: ndcg_at_5 - value: 19.468 + value: 28.62 - type: precision_at_1 - value: 20.679 + value: 29.475 - type: precision_at_10 - value: 6.019 + value: 8.596 - type: precision_at_100 - value: 1.252 + value: 1.562 - type: precision_at_1000 - value: 0.201 + value: 0.219 - type: precision_at_20 - value: 4.0120000000000005 + value: 5.394 - type: precision_at_3 - value: 12.243 + value: 19.084 - type: precision_at_5 - value: 9.321 + value: 13.672999999999998 - type: recall_at_1 - value: 10.282 + value: 14.504 - type: recall_at_10 - value: 25.901999999999997 + value: 36.232 - type: recall_at_100 - value: 50.956999999999994 + value: 62.712 - type: recall_at_1000 - value: 76.935 + value: 83.864 - type: recall_at_20 - value: 34.104 + value: 44.357 - type: recall_at_3 - value: 16.973 + value: 26.029000000000003 - type: recall_at_5 - value: 20.549999999999997 + value: 29.909000000000002 - task: type: Retrieval dataset: @@ -1521,75 +1614,75 @@ model-index: revision: ab518f4d6fcca38d87c25209f94beba119d02014 metrics: - type: map_at_1 - value: 30.567 + value: 31.634 - type: map_at_10 - value: 42.314 + value: 45.007000000000005 - type: map_at_100 - value: 43.205 + value: 45.963 - type: map_at_1000 - value: 43.288 + value: 46.052 - type: map_at_20 - value: 42.812 + value: 45.550000000000004 - type: map_at_3 - value: 39.695 + value: 42.092 - type: map_at_5 - value: 41.214 + value: 43.832 - type: mrr_at_1 - value: 61.134 + value: 63.268 - type: mrr_at_10 - value: 68.57600000000001 + value: 70.691 - type: mrr_at_100 - value: 68.95599999999999 + value: 71.063 - type: mrr_at_1000 - value: 68.97999999999999 + value: 71.082 - type: mrr_at_20 - value: 68.818 + value: 70.917 - type: mrr_at_3 - value: 66.99300000000001 + value: 69.176 - type: mrr_at_5 - value: 67.919 + value: 70.132 - type: ndcg_at_1 - value: 61.134 + value: 63.268 - type: ndcg_at_10 - value: 51.518 + value: 54.205000000000005 - type: ndcg_at_100 - value: 55.022000000000006 + value: 57.847 - type: ndcg_at_1000 - value: 56.81699999999999 + value: 59.64 - type: ndcg_at_20 - value: 52.893 + value: 55.663 - type: ndcg_at_3 - value: 47.216 + value: 49.613 - type: ndcg_at_5 - value: 49.413000000000004 + value: 52.054 - type: precision_at_1 - value: 61.134 + value: 63.268 - type: precision_at_10 - value: 10.729 + value: 11.357000000000001 - type: precision_at_100 - value: 1.351 + value: 1.423 - type: precision_at_1000 - value: 0.159 + value: 0.166 - type: precision_at_20 - value: 5.8069999999999995 + value: 6.148 - type: precision_at_3 - value: 29.336000000000002 + value: 31.041999999999998 - type: precision_at_5 - value: 19.346 + value: 20.551 - type: recall_at_1 - value: 30.567 + value: 31.634 - type: recall_at_10 - value: 53.64600000000001 + value: 56.786 - type: recall_at_100 - value: 67.562 + value: 71.128 - type: recall_at_1000 - value: 79.521 + value: 82.97099999999999 - type: recall_at_20 - value: 58.069 + value: 61.47899999999999 - type: recall_at_3 - value: 44.004 + value: 46.563 - type: recall_at_5 - value: 48.366 + value: 51.376999999999995 - task: type: Classification dataset: @@ -1600,11 +1693,11 @@ model-index: revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 metrics: - type: accuracy - value: 71.5272 + value: 80.7996 - type: ap - value: 65.49215755861609 + value: 74.98592172204835 - type: f1 - value: 71.4156268611186 + value: 80.77161545117626 - task: type: Retrieval dataset: @@ -1615,75 +1708,75 @@ model-index: revision: c5a29a104738b98a9e76336939199e264163d4a0 metrics: - type: map_at_1 - value: 14.574000000000002 + value: 16.637 - type: map_at_10 - value: 23.966 + value: 27.331 - type: map_at_100 - value: 25.19 + value: 28.518 - type: map_at_1000 - value: 25.266 + value: 28.583 - type: map_at_20 - value: 24.668 + value: 28.031 - type: map_at_3 - value: 20.815 + value: 23.715 - type: map_at_5 - value: 22.576 + value: 25.758 - type: mrr_at_1 - value: 14.957 + value: 17.077 - type: mrr_at_10 - value: 24.413999999999998 + value: 27.807 - type: mrr_at_100 - value: 25.616 + value: 28.965999999999998 - type: mrr_at_1000 - value: 25.685999999999996 + value: 29.025000000000002 - type: mrr_at_20 - value: 25.11 + value: 28.499999999999996 - type: mrr_at_3 - value: 21.304000000000002 + value: 24.234 - type: mrr_at_5 - value: 23.047 + value: 26.257 - type: ndcg_at_1 - value: 14.957 + value: 17.077 - type: ndcg_at_10 - value: 29.49 + value: 33.607 - type: ndcg_at_100 - value: 35.734 + value: 39.593 - type: ndcg_at_1000 - value: 37.785000000000004 + value: 41.317 - type: ndcg_at_20 - value: 32.004 + value: 36.118 - type: ndcg_at_3 - value: 23.006999999999998 + value: 26.204 - type: ndcg_at_5 - value: 26.154 + value: 29.862 - type: precision_at_1 - value: 14.957 + value: 17.077 - type: precision_at_10 - value: 4.8500000000000005 + value: 5.54 - type: precision_at_100 - value: 0.8009999999999999 + value: 0.857 - type: precision_at_1000 - value: 0.098 + value: 0.101 - type: precision_at_20 - value: 2.943 + value: 3.2870000000000004 - type: precision_at_3 - value: 9.962 + value: 11.361 - type: precision_at_5 - value: 7.556 + value: 8.673 - type: recall_at_1 - value: 14.574000000000002 + value: 16.637 - type: recall_at_10 - value: 46.655 + value: 53.077 - type: recall_at_100 - value: 76.26899999999999 + value: 81.306 - type: recall_at_1000 - value: 92.303 + value: 94.72699999999999 - type: recall_at_20 - value: 56.424 + value: 62.855000000000004 - type: recall_at_3 - value: 28.874 + value: 32.897999999999996 - type: recall_at_5 - value: 36.441 + value: 41.697 - task: type: Classification dataset: @@ -1694,9 +1787,9 @@ model-index: revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf metrics: - type: accuracy - value: 90.78887368901049 + value: 92.12494300045599 - type: f1 - value: 90.30465646125157 + value: 91.6522604757574 - task: type: Classification dataset: @@ -1707,9 +1800,9 @@ model-index: revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba metrics: - type: accuracy - value: 68.71865025079799 + value: 71.86046511627907 - type: f1 - value: 50.7484789245504 + value: 53.8926541769729 - task: type: Classification dataset: @@ -1720,9 +1813,9 @@ model-index: revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 metrics: - type: accuracy - value: 68.8399462004035 + value: 70.34633490248824 - type: f1 - value: 66.66574227334513 + value: 67.94196699295675 - task: type: Classification dataset: @@ -1733,9 +1826,9 @@ model-index: revision: 7d571f92784cd94a019292a1f45445077d0ef634 metrics: - type: accuracy - value: 73.74915938130464 + value: 74.88903833221251 - type: f1 - value: 73.61179700374726 + value: 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Retrieval dataset: @@ -1772,75 +1865,75 @@ model-index: revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 metrics: - type: map_at_1 - value: 3.726 + value: 5.542 - type: map_at_10 - value: 8.604000000000001 + value: 11.734 - type: map_at_100 - value: 10.95 + value: 14.812 - type: map_at_1000 - value: 12.256 + value: 16.184 - type: map_at_20 - value: 9.573 + value: 13.045000000000002 - type: map_at_3 - value: 6.264 + value: 8.859 - type: map_at_5 - value: 7.343 + value: 10.162 - type: mrr_at_1 - value: 37.771 + value: 43.963 - type: mrr_at_10 - value: 46.476 + value: 51.914 - type: mrr_at_100 - value: 47.164 + value: 52.422000000000004 - type: mrr_at_1000 - value: 47.213 + value: 52.479 - type: mrr_at_20 - value: 46.792 + value: 52.215 - type: mrr_at_3 - value: 44.272 + value: 49.897000000000006 - type: mrr_at_5 - value: 45.728 + value: 50.965 - type: ndcg_at_1 - value: 35.604 + value: 42.105 - type: ndcg_at_10 - value: 26.778000000000002 + value: 32.035000000000004 - type: ndcg_at_100 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19.517 - type: recall_at_3 - value: 7.176 + value: 9.669 - type: recall_at_5 - value: 9.511 + value: 11.772 - task: type: Retrieval dataset: @@ -1851,75 +1944,75 @@ model-index: revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 metrics: - type: map_at_1 - value: 15.110000000000001 + value: 21.590999999999998 - type: map_at_10 - value: 25.983 + value: 35.088 - type: map_at_100 - value: 27.332 + value: 36.386 - type: map_at_1000 - value: 27.406999999999996 + value: 36.439 - type: map_at_20 - value: 26.804 + value: 35.93 - type: map_at_3 - value: 22.182 + value: 30.985000000000003 - type: map_at_5 - value: 24.247 + value: 33.322 - type: mrr_at_1 - value: 17.236 + value: 24.189 - type: mrr_at_10 - value: 28.177999999999997 + value: 37.395 - type: mrr_at_100 - value: 29.346 + value: 38.449 - type: mrr_at_1000 - value: 29.401 + value: 38.486 - type: mrr_at_20 - value: 28.906 + value: 38.092999999999996 - type: mrr_at_3 - value: 24.593999999999998 + value: 33.686 - type: mrr_at_5 - value: 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+ value: 23.788 - type: recall_at_1 - value: 67.465 + value: 68.31099999999999 - type: recall_at_10 - value: 93.581 + value: 94.003 - type: recall_at_100 - value: 98.91499999999999 + value: 99.11999999999999 - type: recall_at_1000 - value: 99.90599999999999 + value: 99.923 - type: recall_at_20 - value: 96.221 + value: 96.55799999999999 - type: recall_at_3 - value: 84.071 + value: 84.836 - type: recall_at_5 - value: 89.14999999999999 + value: 89.655 - task: type: Clustering dataset: @@ -2009,9 +2102,9 @@ model-index: revision: 24640382cdbf8abc73003fb0fa6d111a705499eb metrics: - type: v_measure - value: 45.929215298244664 + value: 47.52530454226057 - type: v_measures - value: [0.5005163734033015, 0.553109801970322, 0.41398508662376254, 0.42141314229941573, 0.4538781792482074, 0.4020501279564094, 0.47479152270449987, 0.4099927798506668, 0.4120557111594749, 0.4201880097400573, 0.42440122539823744, 0.4946100035438165, 0.4781440076390112, 0.4670832635547185, 0.5771247406191055, 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manhattan_pearson - value: 79.6973024858654 + value: 78.65433033180727 - type: manhattan_spearman - value: 75.71084698490509 + value: 75.30995832884881 - task: type: STS dataset: @@ -2135,17 +2228,17 @@ model-index: revision: a0d554a64d88156834ff5ae9920b964011b16384 metrics: - type: cos_sim_pearson - value: 77.34659218404506 + value: 75.66063073145264 - type: cos_sim_spearman - value: 69.49541146727839 + value: 68.58158236004101 - type: euclidean_pearson - value: 74.80982564474151 + value: 72.54019756825143 - type: euclidean_spearman - value: 70.04102091813081 + value: 69.05526621955067 - type: manhattan_pearson - value: 75.00200126757426 + value: 72.69442494173272 - type: manhattan_spearman - value: 70.22802660355588 + value: 69.24310689645435 - task: type: STS dataset: @@ -2156,17 +2249,17 @@ model-index: revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca metrics: - type: cos_sim_pearson - value: 79.91444494464905 + value: 79.93061145846976 - type: cos_sim_spearman - value: 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value: 66.23786691615015 - type: cos_sim_precision - value: 58.792146820315835 + value: 59.483301827347205 - type: cos_sim_recall - value: 72.69129287598945 + value: 74.72295514511873 - type: dot_accuracy - value: 81.47463789712106 + value: 81.95148119449246 - type: dot_ap - value: 58.234902049577684 + value: 60.71125646179137 - type: dot_f1 - value: 56.73442037078401 + value: 58.44781026182928 - type: dot_precision - value: 49.18667699457785 + value: 52.65496086312672 - type: dot_recall - value: 67.01846965699208 + value: 65.67282321899735 - type: euclidean_accuracy - value: 84.30589497526375 + value: 84.84830422602371 - type: euclidean_ap - value: 68.07824251821404 + value: 69.97192936786296 - type: euclidean_f1 - value: 65.09073543457498 + value: 66.53649011471808 - type: euclidean_precision - value: 59.44177932839075 + value: 61.898274296094456 - type: euclidean_recall value: 71.92612137203166 - type: manhattan_accuracy - value: 84.24032902187518 + value: 84.75889610776659 - type: manhattan_ap - value: 67.76838044141897 + value: 69.75691180376053 - type: manhattan_f1 - value: 64.75698520779525 + value: 66.32788868723533 - type: manhattan_precision - value: 58.333333333333336 + value: 61.2513966480447 - type: manhattan_recall - value: 72.77044854881267 + value: 72.32189973614776 - type: max_accuracy - value: 84.30589497526375 + value: 84.84830422602371 - type: max_ap - value: 68.07824251821404 + value: 69.97192936786296 - type: max_f1 - value: 65.09073543457498 + value: 66.53649011471808 - task: type: PairClassification dataset: @@ -2760,55 +2853,55 @@ model-index: revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf metrics: - type: cos_sim_accuracy - value: 88.2951061435169 + value: 88.43287926417511 - type: cos_sim_ap - value: 84.74905878045149 + value: 85.07378179191598 - type: cos_sim_f1 - value: 77.01659871869538 + value: 77.50230244980658 - type: cos_sim_precision - value: 73.0392156862745 + value: 74.30246521155613 - type: cos_sim_recall - value: 81.45210963966738 + value: 80.99014474899907 - type: dot_accuracy - value: 86.37598478674273 + value: 86.946481934257 - type: dot_ap - value: 79.17253140971533 + value: 80.90485630835825 - type: dot_f1 - value: 73.19411657889958 + value: 74.43342263413221 - type: dot_precision - value: 69.27201484842236 + value: 70.24736914035807 - type: dot_recall - value: 77.58700338774254 + value: 79.1499846011703 - type: euclidean_accuracy - value: 88.29122521054062 + value: 88.49303372530757 - type: euclidean_ap - value: 84.64901724668165 + value: 85.08920672765427 - type: euclidean_f1 - value: 76.99685189252507 + value: 77.53514807059526 - type: euclidean_precision - value: 73.39148639218422 + value: 75.3707473102646 - type: euclidean_recall - value: 80.97474591931014 + value: 79.82753310748383 - type: manhattan_accuracy - value: 88.29316567702877 + value: 88.47168859393798 - type: manhattan_ap - value: 84.5869003947086 + value: 85.01816084029292 - type: manhattan_f1 - value: 76.9094138543517 + value: 77.36513181524315 - type: manhattan_precision - value: 74.03818751781134 + value: 72.5057223643463 - type: manhattan_recall - value: 80.01231906375116 + value: 82.9226978749615 - type: max_accuracy - value: 88.2951061435169 + value: 88.49303372530757 - type: max_ap - value: 84.74905878045149 + value: 85.08920672765427 - type: max_f1 - value: 77.01659871869538 + value: 77.53514807059526 --- -# Bulbasaur +# Ivysaur -This is a distill of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny) trained using [qa-assistant](https://huggingface.co/datasets/Mihaiii/qa-assistant). +This is a fine-tune of [gte-tiny](https://huggingface.co/TaylorAI/gte-tiny) using [qa-assistant](https://huggingface.co/datasets/Mihaiii/qa-assistant). ## Intended purpose @@ -2828,7 +2921,7 @@ 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/Bulbasaur') +model = SentenceTransformer('Mihaiii/Ivysaur') embeddings = model.encode(sentences) print(embeddings) ``` @@ -2854,8 +2947,8 @@ 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/Bulbasaur') -model = AutoModel.from_pretrained('Mihaiii/Bulbasaur') +tokenizer = AutoTokenizer.from_pretrained('Mihaiii/Ivysaur') +model = AutoModel.from_pretrained('Mihaiii/Ivysaur') # Tokenize sentences encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')