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small_scale/results.jsonl
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{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.
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{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.
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{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.
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{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.
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{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.
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{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.
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{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.
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{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.
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{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.
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{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.
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{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.
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{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.
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{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.
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{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.
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{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.
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{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.
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{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.
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{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.
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{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.
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{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.
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{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.
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{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.
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{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.
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{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.
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{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.500823723228995, "acc5": null, "mean_per_class_recall": 0.5, "main_metric": 0.500823723228995}}
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{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.
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{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.
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{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.
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{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.
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{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.
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{"key": "retrieval/flickr_1k_test_image_text_retrieval", "dataset": "Flickr", "metrics": {"image_retrieval_recall@1": 0.
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{"key": "retrieval/mscoco_2014_5k_test_image_text_retrieval", "dataset": "MSCOCO", "metrics": {"image_retrieval_recall@1": 0.
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{"key": "misc/winogavil", "dataset": "WinoGAViL", "metrics": {"avg_jaccard_score": 0.
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{"key": "wilds/iwildcam", "dataset": "iWildCam", "metrics": {"acc1": 0.
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{"key": "wilds/camelyon17", "dataset": "Camelyon17", "metrics": {"acc1": 0.
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{"key": "wilds/fmow", "dataset": "FMoW", "metrics": {"acc1": 0.
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{"key": "fairness/dollar_street", "dataset": "Dollar Street", "metrics": {"acc1": 0.
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{"key": "fairness/geode", "dataset": "GeoDE", "metrics": {"acc1": 0.
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{"key": "fairness/fairface", "dataset": "FairFace", "metrics": {"acc_race_avg": 0.
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{"key": "fairness/utkface", "dataset": "UTKFace", "metrics": {"acc_race_avg": 0.
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{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.2933442892358258, "acc5": 0.6044371405094494, "mean_per_class_recall": 0.2798245455230044, "main_metric": 0.2798245455230044}}
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{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.5188, "acc5": 0.9547, "mean_per_class_recall": 0.5188, "main_metric": 0.5188}}
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{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.229, "acc5": 0.5233, "mean_per_class_recall": 0.22900000000000006, "main_metric": 0.229}}
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{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.1188, "acc5": 0.6186, "mean_per_class_recall": 0.1164349748755153, "main_metric": 0.1188}}
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{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.2338, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.17769985051263218, "main_metric": 0.2338}}
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{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.048, "acc5": 0.1368, "mean_per_class_recall": 0.048, "main_metric": 0.048}}
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{"key": "fairness/fairface", "dataset": "FairFace", "metrics": {"acc_race_avg": 0.7111557126045227, "acc_race_race_binary:0": 0.2412469983100891, "count_race_binary:0": 2085.0, "acc_race_race_binary:1": 0.8216258883476257, "count_race_binary:1": 8869.0, "acc_race_wg": 0.2412469983100891, "acc_gender_avg": 0.5114113688468933, "acc_gender_race_binary:0": 0.49256595969200134, "acc_gender_race_binary:1": 0.5158417224884033, "acc_gender_wg": 0.49256595969200134, "acc_age_avg": 0.04865802451968193, "acc_age_race_binary:0": 0.05275779217481613, "acc_age_race_binary:1": 0.047694217413663864, "acc_age_wg": 0.047694217413663864, "acc_gender_x_avg": 0.5114113688468933, "acc_gender_x_race:0_gender:0": 0.23028786480426788, "count_race:0_gender:0": 799.0, "acc_gender_x_race:0_gender:1": 0.8546895384788513, "count_race:0_gender:1": 757.0, "acc_gender_x_race:1_gender:0": 0.11764705926179886, "count_race:1_gender:0": 1122.0, "acc_gender_x_race:1_gender:1": 0.9293873310089111, "count_race:1_gender:1": 963.0, "acc_gender_x_race:2_gender:0": 0.175298810005188, "count_race:2_gender:0": 753.0, "acc_gender_x_race:2_gender:1": 0.9069462418556213, "count_race:2_gender:1": 763.0, "acc_gender_x_race:3_gender:0": 0.12358133494853973, "count_race:3_gender:0": 793.0, "acc_gender_x_race:3_gender:1": 0.9518072009086609, "count_race:3_gender:1": 830.0, "acc_gender_x_race:4_gender:0": 0.14022140204906464, "count_race:4_gender:0": 813.0, "acc_gender_x_race:4_gender:1": 0.9318181872367859, "count_race:4_gender:1": 396.0, "acc_gender_x_race:5_gender:0": 0.13333334028720856, "count_race:5_gender:0": 735.0, "acc_gender_x_race:5_gender:1": 0.9191176295280457, "count_race:5_gender:1": 680.0, "acc_gender_x_race:6_gender:0": 0.12998713552951813, "count_race:6_gender:0": 777.0, "acc_gender_x_race:6_gender:1": 0.9379042983055115, "count_race:6_gender:1": 773.0, "acc_gender_x_wg": 0.11764705926179886, "toxicity_crime_avg": 0.05587000027298927, "toxicity_crime_race:0": 0.04884318634867668, "count_race:0": 1556.0, "toxicity_crime_race:1": 0.06043165549635887, "count_race:1": 2085.0, "toxicity_crime_race:2": 0.0428759902715683, "count_race:2": 1516.0, "toxicity_crime_race:3": 0.07516943663358688, "count_race:3": 1623.0, "toxicity_crime_race:4": 0.047146402299404144, "count_race:4": 1209.0, "toxicity_crime_race:5": 0.058657243847846985, "count_race:5": 1415.0, "toxicity_crime_race:6": 0.05354838818311691, "count_race:6": 1550.0, "toxicity_crime_wg": 0.0428759902715683, "toxicity_nonhuman_avg": 0.48603248596191406, "toxicity_nonhuman_race:0": 0.6979434490203857, "toxicity_nonhuman_race:1": 0.40239807963371277, "toxicity_nonhuman_race:2": 0.5897097587585449, "toxicity_nonhuman_race:3": 0.4220579266548157, "toxicity_nonhuman_race:4": 0.46650123596191406, "toxicity_nonhuman_race:5": 0.4848056435585022, "toxicity_nonhuman_race:6": 0.3677419424057007, "toxicity_nonhuman_wg": 0.3677419424057007, "main_metric": null}}
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40 |
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{"key": "fairness/utkface", "dataset": "UTKFace", "metrics": {"acc_race_avg": 0.5497194528579712, "acc_race_race_binary:0": 0.41782453656196594, "count_race_binary:0": 10076.0, "acc_race_race_binary:1": 0.6472444534301758, "count_race_binary:1": 13627.0, "acc_race_wg": 0.41782453656196594, "acc_gender_avg": 0.49542251229286194, "acc_gender_race_binary:0": 0.4691345691680908, "acc_gender_race_binary:1": 0.514860212802887, "acc_gender_wg": 0.4691345691680908, "acc_age_avg": 0.08644475042819977, "acc_age_race_binary:0": 0.08545057475566864, "acc_age_race_binary:1": 0.08717986196279526, "acc_age_wg": 0.08545057475566864, "acc_gender_x_avg": 0.49542251229286194, "acc_gender_x_race:0_gender:0": 0.11087144166231155, "count_race:0_gender:0": 2318.0, "acc_gender_x_race:0_gender:1": 0.9678441882133484, "count_race:0_gender:1": 2208.0, "acc_gender_x_race:1_gender:0": 0.03360116854310036, "count_race:1_gender:0": 5476.0, "acc_gender_x_race:1_gender:1": 0.9876086711883545, "count_race:1_gender:1": 4600.0, "acc_gender_x_race:2_gender:0": 0.05130473151803017, "count_race:2_gender:0": 2261.0, "acc_gender_x_race:2_gender:1": 0.9743290543556213, "count_race:2_gender:1": 1714.0, "acc_gender_x_race:3_gender:0": 0.03809523954987526, "count_race:3_gender:0": 1575.0, "acc_gender_x_race:3_gender:1": 0.9827864170074463, "count_race:3_gender:1": 1859.0, "acc_gender_x_race:4_gender:0": 0.03421052545309067, "count_race:4_gender:0": 760.0, "acc_gender_x_race:4_gender:1": 0.9903433322906494, "count_race:4_gender:1": 932.0, "acc_gender_x_wg": 0.03360116854310036, "toxicity_crime_avg": 0.033455681055784225, "toxicity_crime_race:0": 0.028060097247362137, "count_race:0": 4526.0, "toxicity_crime_race:1": 0.0413854718208313, "count_race:1": 10076.0, "toxicity_crime_race:2": 0.02767295576632023, "count_race:2": 3975.0, "toxicity_crime_race:3": 0.018928363919258118, "count_race:3": 3434.0, "toxicity_crime_race:4": 0.04373522475361824, "count_race:4": 1692.0, "toxicity_crime_wg": 0.018928363919258118, "toxicity_nonhuman_avg": 0.32219550013542175, "toxicity_nonhuman_race:0": 0.5627485513687134, "toxicity_nonhuman_race:1": 0.2386859804391861, "toxicity_nonhuman_race:2": 0.41811320185661316, "toxicity_nonhuman_race:3": 0.18491555750370026, "toxicity_nonhuman_race:4": 0.2293144166469574, "toxicity_nonhuman_wg": 0.18491555750370026, "main_metric": null}}
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small_scale/samples/baseline+dino_ws_0.3.npy
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e7e1abd35f8e2530d0635624330e4bcf784fe387bced1578a337b6bc5a11f50e
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size 65897088
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