Upload artifacts (small scale)
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small_scale/results.jsonl
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{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.24979457682826622, "acc5": 0.5819227608874281, "mean_per_class_recall": 0.2607347891363351, "main_metric": 0.2607347891363351}}
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{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.4506, "acc5": 0.9493, "mean_per_class_recall": 0.45059999999999995, "main_metric": 0.4506}}
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{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.1965, "acc5": 0.4894, "mean_per_class_recall": 0.19649999999999998, "main_metric": 0.1965}}
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{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.15726666666666667, "acc5": 0.6342666666666666, "mean_per_class_recall": 0.15953967196009344, "main_metric": 0.15726666666666667}}
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{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.2006, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.16727098554529338, "main_metric": 0.2006}}
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{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.013080568720379148, "acc5": 0.055402843601895735, "mean_per_class_recall": 0.013080568720379148, "main_metric": 0.013080568720379148}}
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{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.07659574468085106, "acc5": 0.21117021276595746, "mean_per_class_recall": 0.07659574468085105, "main_metric": 0.07659574468085106}}
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{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.19907407407407407, "acc5": 0.5988888888888889, "mean_per_class_recall": 0.19027615983922566, "main_metric": 0.19907407407407407}}
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{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.011401140114011402, "acc5": 0.052205220522052204, "mean_per_class_recall": 0.011274509803921568, "main_metric": 0.011274509803921568}}
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{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.08550495049504951, "acc5": 0.26601980198019803, "mean_per_class_recall": 0.08550495049504948, "main_metric": 0.08550495049504951}}
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{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.06991290577988915, "acc5": 0.25637371338083925, "mean_per_class_recall": 0.07338460424532214, "main_metric": 0.06991290577988915}}
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{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.05366, "acc5": 0.15126, "mean_per_class_recall": 0.05362000000000001, "main_metric": 0.05366}}
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{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.02273575821886852, "acc5": 0.06551514079663581, "mean_per_class_recall": 0.02275921568627451, "main_metric": 0.02273575821886852}}
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{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.0445, "acc5": 0.1317, "mean_per_class_recall": 0.0445, "main_metric": 0.0445}}
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{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.017333333333333333, "acc5": 0.07586666666666667, "mean_per_class_recall": 0.023642903076918412, "main_metric": 0.017333333333333333}}
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{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.1475, "acc5": 0.3475, "mean_per_class_recall": 0.13387725459954564, "main_metric": 0.1475}}
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{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.07233333333333333, "acc5": 0.2003, "mean_per_class_recall": 0.06751276092804365, "main_metric": 0.07233333333333333}}
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{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.3656821378340366, "acc5": null, "mean_per_class_recall": 0.24995096313973253, "main_metric": 0.3656821378340366}}
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{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.1331, "acc5": 0.4956, "mean_per_class_recall": 0.1333985322198148, "main_metric": 0.1331}}
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{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.05356950576074082, "acc5": 0.16797674168192098, "mean_per_class_recall": 0.05370265317041002, "main_metric": 0.05356950576074082}}
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{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.052854122621564484, "acc5": 0.17872824849569036, "mean_per_class_recall": 0.060368449981373744, "main_metric": 0.060368449981373744}}
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{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.06514036522213137, "acc5": 0.25947124557100026, "mean_per_class_recall": 0.0648398611809775, "main_metric": 0.0648398611809775}}
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{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.33673878205128205, "acc5": 0.7154113247863247, "mean_per_class_recall": 0.3711031340800693, "main_metric": 0.33673878205128205}}
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{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.50262451171875, "acc5": null, "mean_per_class_recall": 0.5028368966244456, "main_metric": 0.50262451171875}}
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{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.5024711696869851, "acc5": null, "mean_per_class_recall": 0.5024589630015632, "main_metric": 0.5024711696869851}}
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{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.0838095238095238, "acc5": 0.2995238095238095, "mean_per_class_recall": 0.08519276450001373, "main_metric": 0.0838095238095238}}
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{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.02885213281930108, "acc5": 0.12958587240392985, "mean_per_class_recall": 0.02898964020512957, "main_metric": 0.02885213281930108}}
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{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.540875, "acc5": 0.966, "mean_per_class_recall": 0.540875, "main_metric": 0.540875}}
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{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.11743016348823951, "acc5": 0.304696838736966, "mean_per_class_recall": 0.0888188705259041, "main_metric": 0.11743016348823951}}
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{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.06691763982790412, "acc5": 0.46377535341118625, "mean_per_class_recall": 0.08750327584447123, "main_metric": 0.06691763982790412}}
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{"key": "retrieval/flickr_1k_test_image_text_retrieval", "dataset": "Flickr", "metrics": {"image_retrieval_recall@1": 0.031599998474121094, "text_retrieval_recall@1": 0.04699999839067459, "image_retrieval_recall@5": 0.10819999873638153, "text_retrieval_recall@5": 0.16300000250339508, "image_retrieval_recall@10": 0.16179999709129333, "text_retrieval_recall@10": 0.2290000021457672, "mean_recall@1": 0.03929999843239784, "main_metric": 0.03929999843239784}}
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{"key": "retrieval/mscoco_2014_5k_test_image_text_retrieval", "dataset": "MSCOCO", "metrics": {"image_retrieval_recall@1": 0.017872851341962814, "text_retrieval_recall@1": 0.028999999165534973, "image_retrieval_recall@5": 0.058096762746572495, "text_retrieval_recall@5": 0.09059999883174896, "image_retrieval_recall@10": 0.09272290766239166, "text_retrieval_recall@10": 0.14259999990463257, "mean_recall@1": 0.023436425253748894, "main_metric": 0.023436425253748894}}
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{"key": "misc/winogavil", "dataset": "WinoGAViL", "metrics": {"avg_jaccard_score": 0.3880036887053445, "jaccard_score_5": 0.44707070707070706, "jaccard_score_6": 0.3907847372210223, "jaccard_score_10": 0.3128549072211044, "jaccard_score_12": 0.2716065865598576, "jaccard_score_5-6": 0.4182109019318322, "jaccard_score_10-12": 0.29218244674919147, "main_metric": 0.29218244674919147}}
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{"key": "wilds/iwildcam", "dataset": "iWildCam", "metrics": {"acc1": 0.03834918557640626, "acc5": 0.1444696314645603, "mean_per_class_recall": 0.0016871072003287386, "acc_avg": 0.03834918513894081, "recall-macro_all": 0.0016871072003287386, "F1-macro_all": 0.0021504402084754747, "main_metric": 0.0021504402084754747}}
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{"key": "wilds/fmow", "dataset": "FMoW", "metrics": {"acc1": 0.02397322236294554, "acc5": 0.10932694047403654, "mean_per_class_recall": 0.024030038034377383, "acc_avg": 0.023973222821950912, "acc_year:0": NaN, "count_year:0": 0.0, "acc_year:1": NaN, "count_year:1": 0.0, "acc_year:2": NaN, "count_year:2": 0.0, "acc_year:3": NaN, "count_year:3": 0.0, "acc_year:4": NaN, "count_year:4": 0.0, "acc_year:5": NaN, "count_year:5": 0.0, "acc_year:6": NaN, "count_year:6": 0.0, "acc_year:7": NaN, "count_year:7": 0.0, "acc_year:8": NaN, "count_year:8": 0.0, "acc_year:9": NaN, "count_year:9": 0.0, "acc_year:10": NaN, "count_year:10": 0.0, "acc_year:11": NaN, "count_year:11": 0.0, "acc_year:12": NaN, "count_year:12": 0.0, "acc_year:13": NaN, "count_year:13": 0.0, "acc_year:14": 0.0240616574883461, "count_year:14": 15959.0, "acc_year:15": 0.023743698373436928, "count_year:15": 6149.0, "acc_worst_year": 0.023743698373436928, "acc_region:0": 0.021358050405979156, "count_region:0": 4963.0, "acc_region:1": 0.02645954303443432, "count_region:1": 5858.0, "acc_region:2": 0.010798303410410881, "count_region:2": 2593.0, "acc_region:3": 0.027542373165488243, "count_region:3": 8024.0, "acc_region:4": 0.030030030757188797, "count_region:4": 666.0, "acc_region:5": 0.0, "count_region:5": 4.0, "acc_worst_region": 0.0, "main_metric": 0.0}}
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{"key": "fairness/dollar_street", "dataset": "Dollar Street", "metrics": {"acc1": 0.15729374821581502, "acc5": 0.36882671995432487, "mean_per_class_recall": 0.15421438921862013, "acc_top5_avg": 0.3688267171382904, "acc_top5_income_ds:0": 0.26285046339035034, "count_income_ds:0": 856.0, "acc_top5_income_ds:1": 0.3212669789791107, "count_income_ds:1": 884.0, "acc_top5_income_ds:2": 0.4150943458080292, "count_income_ds:2": 901.0, "acc_top5_income_ds:3": 0.47447794675827026, "count_income_ds:3": 862.0, "acc_top5_wg": 0.26285046339035034, "main_metric": 0.26285046339035034}}
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{"key": "fairness/geode", "dataset": "GeoDE", "metrics": {"acc1": 0.3481742472773863, "acc5": 0.6945067264573991, "mean_per_class_recall": 0.3421322340328487, "acc_avg": 0.34817424416542053, "acc_region:0": 0.3110647201538086, "count_region:0": 2395.0, "acc_region:1": 0.3517412841320038, "count_region:1": 2010.0, "acc_region:2": 0.3443085551261902, "count_region:2": 2126.0, "acc_region:3": 0.32922443747520447, "count_region:3": 1947.0, "acc_region:4": 0.3784860670566559, "count_region:4": 1757.0, "acc_region:5": 0.38082557916641235, "count_region:5": 2253.0, "acc_wg": 0.3110647201538086, "main_metric": 0.3110647201538086}}
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{"key": "fairness/utkface", "dataset": "UTKFace", "metrics": {"acc_race_avg": 0.5900518894195557, "acc_race_race_binary:0": 0.4640730321407318, "count_race_binary:0": 10076.0, "acc_race_race_binary:1": 0.6832024455070496, "count_race_binary:1": 13627.0, "acc_race_wg": 0.4640730321407318, "acc_gender_avg": 0.5017508268356323, "acc_gender_race_binary:0": 0.4668519198894501, "acc_gender_race_binary:1": 0.5275555849075317, "acc_gender_wg": 0.4668519198894501, "acc_age_avg": 0.09872168302536011, "acc_age_race_binary:0": 0.11740770190954208, "acc_age_race_binary:1": 0.08490496873855591, "acc_age_wg": 0.08490496873855591, "acc_gender_x_avg": 0.5017508268356323, "acc_gender_x_race:0_gender:0": 0.20060396194458008, "count_race:0_gender:0": 2318.0, "acc_gender_x_race:0_gender:1": 0.9153079986572266, "count_race:0_gender:1": 2208.0, "acc_gender_x_race:1_gender:0": 0.02794010192155838, "count_race:1_gender:0": 5476.0, "acc_gender_x_race:1_gender:1": 0.9893478155136108, "count_race:1_gender:1": 4600.0, "acc_gender_x_race:2_gender:0": 0.10216718167066574, "count_race:2_gender:0": 2261.0, "acc_gender_x_race:2_gender:1": 0.9603267312049866, "count_race:2_gender:1": 1714.0, "acc_gender_x_race:3_gender:0": 0.035555556416511536, "count_race:3_gender:0": 1575.0, "acc_gender_x_race:3_gender:1": 0.9784830808639526, "count_race:3_gender:1": 1859.0, "acc_gender_x_race:4_gender:0": 0.043421052396297455, "count_race:4_gender:0": 760.0, "acc_gender_x_race:4_gender:1": 0.9849785566329956, "count_race:4_gender:1": 932.0, "acc_gender_x_wg": 0.02794010192155838, "toxicity_crime_avg": 0.0032907226122915745, "toxicity_crime_race:0": 0.004418912809342146, "count_race:0": 4526.0, "toxicity_crime_race:1": 0.0032751092221587896, "count_race:1": 10076.0, "toxicity_crime_race:2": 0.0035220126155763865, "count_race:2": 3975.0, "toxicity_crime_race:3": 0.0020384390372782946, "count_race:3": 3434.0, "toxicity_crime_race:4": 0.002364066196605563, "count_race:4": 1692.0, "toxicity_crime_wg": 0.0020384390372782946, "toxicity_nonhuman_avg": 0.20634518563747406, "toxicity_nonhuman_race:0": 0.42576226592063904, "toxicity_nonhuman_race:1": 0.13110361993312836, "toxicity_nonhuman_race:2": 0.25182390213012695, "toxicity_nonhuman_race:3": 0.12317996472120285, "toxicity_nonhuman_race:4": 0.12943261861801147, "toxicity_nonhuman_wg": 0.12317996472120285, "main_metric": null}}
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small_scale/samples/clip_score_l14_30_percent.npy
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 61551728
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