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.
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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": 0.044722719141323794, "acc5": 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.
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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": 0.2304026294165982, "acc5": 0.5778142974527527, "mean_per_class_recall": 0.2757926662007167, "main_metric": 0.2757926662007167}}
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{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.4999, "acc5": 0.9451, "mean_per_class_recall": 0.49989999999999996, "main_metric": 0.4999}}
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{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.2155, "acc5": 0.5058, "mean_per_class_recall": 0.21549999999999997, "main_metric": 0.2155}}
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{"key": "wilds/fmow", "dataset": "FMoW", "metrics": {"acc1": 0.021214040166455582, "acc5": 0.11308123756106386, "mean_per_class_recall": 0.022009931786221768, "acc_avg": 0.021214039996266365, "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": 0.02180587686598301, "count_year:14": 15959.0, "acc_year:15": 0.01967799663543701, "count_year:15": 6149.0, "acc_worst_year": 0.01967799663543701, "acc_region:0": 0.029619181528687477, "count_region:0": 4963.0, "acc_region:1": 0.020826220512390137, "count_region:1": 5858.0, "acc_region:2": 0.011955264024436474, "count_region:2": 2593.0, "acc_region:3": 0.019192421808838844, "count_region:3": 8024.0, "acc_region:4": 0.022522522136569023, "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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small_scale/samples/dino_area_ratio_between_5_and_95.npy
ADDED
@@ -0,0 +1,3 @@
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size 63763760
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