Upload artifacts (medium scale)

medium_scale/results.jsonl

@@ -1,40 +1,40 @@
-{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.7352506162695152, "acc5": 0.9188167625308135, "mean_per_class_recall": 0.7268950571332059, "main_metric": 0.7268950571332059}}
-{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.8687, "acc5": 0.9971, "mean_per_class_recall": 0.8686999999999999, "main_metric": 0.8687}}
-{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.6214, "acc5": 0.8851, "mean_per_class_recall": 0.6214, "main_metric": 0.6214}}
-{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.12786666666666666, "acc5": 0.6313333333333333, "mean_per_class_recall": 0.12630826356182956, "main_metric": 0.12786666666666666}}
-{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.23806666666666668, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.1698689397719372, "main_metric": 0.23806666666666668}}
-{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.04578199052132701, "acc5": 0.14535545023696683, "mean_per_class_recall": 0.04578199052132702, "main_metric": 0.04578199052132701}}
-{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.25372340425531914, "acc5": 0.4723404255319149, "mean_per_class_recall": 0.25372340425531914, "main_metric": 0.25372340425531914}}
-{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.45814814814814814, "acc5": 0.947037037037037, "mean_per_class_recall": 0.4582193765711975, "main_metric": 0.45814814814814814}}
-{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.0231023102310231, "acc5": 0.0855085508550855, "mean_per_class_recall": 0.023110516934046352, "main_metric": 0.023110516934046352}}
-{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.4367920792079208, "acc5": 0.7355643564356436, "mean_per_class_recall": 0.4367920792079208, "main_metric": 0.4367920792079208}}
-{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.21773555027711797, "acc5": 0.6329374505146477, "mean_per_class_recall": 0.2203758125744981, "main_metric": 0.21773555027711797}}
-{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.31838, "acc5": 0.57454, "mean_per_class_recall": 0.31839999999999996, "per_class_acc": [0.0, 0.7, 0.32, 0.12, 0.32, 0.0, 0.42, 0.52, 0.32, 0.46, 0.0, 0.82, 0.3, 0.0, 0.74, 0.38, 0.1, 0.0, 0.52, 0.44, 0.0, 0.12, 0.72, 0.08, 0.78, 0.06, 0.14, 0.04, 0.46, 0.36, 0.06, 0.38, 0.1, 0.22, 0.04, 0.4, 0.0, 0.04, 0.12, 0.36, 0.0, 0.36, 0.0, 0.0, 0.16, 0.0, 0.22, 0.16, 0.5, 0.36, 0.14, 0.26, 0.12, 0.26, 0.06, 0.34, 0.0, 0.04, 0.16, 0.06, 0.0, 0.04, 0.24, 0.1, 0.36, 0.2, 0.04, 0.08, 0.04, 0.5, 0.0, 0.24, 0.38, 0.24, 0.42, 0.0, 0.44, 0.02, 0.34, 0.28, 0.2, 0.0, 0.16, 0.58, 0.0, 0.1, 0.14, 0.66, 0.68, 0.66, 0.44, 0.0, 0.68, 0.28, 0.5, 0.0, 0.6, 0.12, 0.5, 0.14, 0.6, 0.0, 0.06, 0.12, 0.24, 0.52, 0.2, 0.54, 0.46, 0.02, 0.0, 0.02, 0.1, 0.3, 0.02, 0.28, 0.0, 0.18, 0.22, 0.22, 0.04, 0.04, 0.32, 0.02, 0.08, 0.18, 0.0, 0.42, 0.14, 0.42, 0.62, 0.6, 0.72, 0.04, 0.0, 0.0, 0.1, 0.12, 0.34, 0.22, 0.12, 0.44, 0.0, 0.7, 0.32, 0.6, 0.34, 0.54, 0.54, 0.36, 0.3, 0.16, 0.0, 0.2, 0.12, 0.5, 0.0, 0.0, 0.04, 0.38, 0.02, 0.2, 0.54, 0.02, 0.04, 0.24, 0.06, 0.02, 0.0, 0.0, 0.02, 0.18, 0.06, 0.0, 0.0, 0.0, 0.0, 0.08, 0.46, 0.04, 0.02, 0.1, 0.0, 0.26, 0.0, 0.0, 0.1, 0.3, 0.1, 0.02, 0.02, 0.14, 0.08, 0.0, 0.04, 0.5, 0.08, 0.06, 0.16, 0.28, 0.02, 0.0, 0.0, 0.36, 0.0, 0.0, 0.02, 0.24, 0.14, 0.18, 0.38, 0.32, 0.04, 0.16, 0.06, 0.04, 0.0, 0.12, 0.14, 0.06, 0.02, 0.02, 0.0, 0.02, 0.0, 0.2, 0.0, 0.0, 0.0, 0.0, 0.42, 0.02, 0.38, 0.0, 0.52, 0.42, 0.0, 0.36, 0.04, 0.62, 0.0, 0.0, 0.06, 0.18, 0.04, 0.28, 0.04, 0.08, 0.16, 0.24, 0.12, 0.76, 0.0, 0.0, 0.48, 0.52, 0.34, 0.14, 0.6, 0.3, 0.46, 0.0, 0.0, 0.12, 0.16, 0.18, 0.16, 0.06, 0.0, 0.08, 0.18, 0.08, 0.18, 0.06, 0.0, 0.4, 0.06, 0.36, 0.02, 0.28, 0.04, 0.68, 0.08, 0.64, 0.64, 0.02, 0.18, 0.42, 0.72, 0.7, 0.06, 0.44, 0.56, 0.56, 0.38, 0.58, 0.7, 0.0, 0.0, 0.42, 0.0, 0.52, 0.22, 0.08, 0.48, 0.0, 0.18, 0.08, 0.2, 0.38, 0.1, 0.4, 0.0, 0.1, 0.22, 0.34, 0.24, 0.06, 0.02, 0.38, 0.36, 0.76, 0.44, 0.78, 0.58, 0.74, 0.02, 0.48, 0.52, 0.06, 0.44, 0.14, 0.04, 0.58, 0.32, 0.18, 0.56, 0.3, 0.28, 0.28, 0.86, 0.22, 0.36, 0.12, 0.36, 0.18, 0.32, 0.56, 0.18, 0.66, 0.22, 0.0, 0.68, 0.14, 0.28, 0.18, 0.14, 0.0, 0.0, 0.04, 0.28, 0.36, 0.38, 0.26, 0.28, 0.6, 0.1, 0.4, 0.08, 0.12, 0.0, 0.0, 0.08, 0.4, 0.16, 0.0, 0.04, 0.0, 0.0, 0.04, 0.0, 0.0, 0.24, 0.5, 0.0, 0.14, 0.68, 0.86, 0.78, 0.12, 0.08, 0.36, 0.42, 0.64, 0.04, 0.0, 0.74, 0.3, 0.54, 0.36, 0.2, 0.42, 0.32, 0.72, 0.84, 0.14, 0.66, 0.6, 0.4, 0.44, 0.0, 0.4, 0.22, 0.36, 0.28, 0.26, 0.04, 0.44, 0.12, 0.02, 0.54, 0.36, 0.08, 0.44, 0.14, 0.86, 0.36, 0.4, 0.28, 0.28, 0.62, 0.26, 0.08, 0.14, 0.14, 0.32, 0.32, 0.64, 0.2, 0.0, 0.44, 0.38, 0.32, 0.48, 0.48, 0.12, 0.26, 0.18, 0.66, 0.7, 0.26, 0.66, 0.18, 0.64, 0.44, 0.34, 0.22, 0.18, 0.84, 0.28, 0.16, 0.16, 0.3, 0.28, 0.34, 0.44, 0.9, 0.56, 0.0, 0.12, 0.3, 0.38, 0.28, 0.1, 0.68, 0.88, 0.74, 0.6, 0.28, 0.4, 0.1, 0.26, 0.16, 0.62, 0.46, 0.4, 0.68, 0.7, 0.1, 0.46, 0.0, 0.5, 0.3, 0.0, 0.14, 0.64, 0.82, 0.48, 0.42, 0.0, 0.64, 0.14, 0.28, 0.36, 0.18, 0.1, 0.1, 0.34, 0.5, 0.3, 0.72, 0.62, 0.4, 0.0, 0.5, 0.26, 0.02, 0.5, 0.72, 0.26, 0.58, 0.46, 0.32, 0.08, 0.0, 0.7, 0.42, 0.52, 0.34, 0.36, 0.44, 0.64, 0.78, 0.72, 0.34, 0.76, 0.36, 0.74, 0.44, 0.36, 0.42, 0.24, 0.18, 0.3, 0.22, 0.56, 0.32, 0.4, 0.98, 0.3, 0.4, 0.56, 0.02, 0.66, 0.24, 0.68, 0.14, 0.68, 0.1, 0.48, 0.4, 0.56, 0.6, 0.72, 0.76, 0.36, 0.14, 0.26, 0.5, 0.58, 0.4, 0.36, 0.42, 0.88, 0.46, 0.56, 0.58, 0.46, 0.54, 0.36, 0.68, 0.18, 0.34, 0.0, 0.16, 0.12, 0.0, 0.14, 0.34, 0.34, 0.1, 0.52, 0.6, 0.16, 0.4, 0.66, 0.06, 0.58, 0.3, 0.32, 0.02, 0.0, 0.22, 0.2, 0.54, 0.58, 0.44, 0.92, 0.48, 0.34, 0.72, 0.48, 0.54, 0.18, 0.72, 0.66, 0.12, 0.5, 0.08, 0.26, 0.62, 0.68, 0.24, 0.12, 0.36, 0.8, 0.08, 0.72, 0.4, 0.62, 0.18, 0.56, 0.44, 0.06, 0.34, 0.3, 0.36, 0.3, 0.0, 0.58, 0.86, 0.0, 0.2, 0.14, 0.2, 0.14, 0.38, 0.38, 0.3, 0.0, 0.26, 0.32, 0.4, 0.02, 0.4, 0.02, 0.38, 0.18, 0.44, 0.14, 0.5, 0.74, 0.38, 0.18, 0.16, 0.36, 0.3, 0.34, 0.78, 0.74, 0.24, 0.58, 0.72, 0.2, 0.3, 0.32, 0.0, 0.02, 0.06, 0.86, 0.1, 0.06, 0.64, 0.14, 0.34, 0.96, 0.54, 0.64, 0.74, 0.1, 0.28, 0.16, 0.22, 0.16, 0.02, 0.46, 0.18, 0.54, 0.78, 0.0, 0.1, 0.72, 0.0, 0.74, 0.46, 0.18, 0.6, 0.18, 0.14, 0.44, 0.16, 0.64, 0.16, 0.58, 0.0, 0.0, 0.7, 0.34, 0.32, 0.58, 0.3, 0.66, 0.2, 0.48, 0.28, 0.06, 0.04, 0.32, 0.16, 0.26, 0.24, 0.0, 0.46, 0.3, 0.68, 0.52, 0.58, 0.36, 0.56, 0.3, 0.24, 0.54, 0.26, 0.48, 0.0, 0.38, 0.78, 0.28, 0.16, 0.14, 0.1, 0.68, 0.1, 0.34, 0.24, 0.12, 0.54, 0.5, 0.14, 0.44, 0.54, 0.46, 0.48, 0.66, 0.22, 0.42, 0.26, 0.04, 0.78, 0.44, 0.74, 0.12, 0.04, 0.42, 0.52, 0.12, 0.34, 0.38, 0.22, 0.84, 0.62, 0.78, 0.2, 0.6, 0.12, 0.3, 0.44, 0.12, 0.32, 0.34, 0.36, 0.34, 0.1, 0.0, 0.34, 0.82, 0.36, 0.46, 0.0, 0.36, 0.84, 0.4, 0.8, 0.68, 0.14, 0.6, 0.38, 0.3, 0.22, 0.5, 0.02, 0.32, 0.26, 0.08, 0.72, 0.5, 0.0, 0.38, 0.24, 0.64, 0.72, 0.62, 0.06, 0.26, 0.18, 0.66, 0.32, 0.44, 0.2, 0.74, 0.3, 0.72, 0.5, 0.2, 0.4, 0.12, 0.14, 0.0, 0.26, 0.52, 0.22, 0.4, 0.02, 0.62, 0.28, 0.22, 0.58, 0.46, 0.06, 0.72, 0.62, 0.28, 0.64, 0.58, 0.14, 0.24, 0.02, 0.18, 0.62, 0.38, 0.3, 0.34, 0.34, 0.72, 0.32, 0.42, 0.68, 0.24, 0.22, 0.34, 0.42, 0.0, 0.4, 0.76, 0.56, 0.22, 0.06, 0.34, 0.5, 0.28, 0.42, 0.62, 0.36, 0.42, 0.56, 0.1, 0.8, 0.12, 0.48, 0.24, 0.82, 0.36, 0.6, 0.4, 0.44, 0.66, 0.68, 0.62, 0.32, 0.12, 0.74, 0.3, 0.14, 0.52, 0.32, 0.3, 0.1, 0.22, 0.3, 0.22, 0.26, 0.16, 0.3, 0.3, 0.38, 0.48, 0.84, 0.68, 0.56, 0.56, 0.48, 0.0, 0.88, 0.02, 0.66, 0.0, 0.86, 0.94, 0.26, 0.22, 0.3, 0.52, 0.48, 0.78, 0.48, 0.54, 0.64, 0.7, 0.46, 0.56, 0.3, 0.44, 0.34, 0.16, 0.48, 0.28, 0.0, 0.48, 0.24, 0.38, 0.48, 0.44, 0.12, 0.46, 0.28, 0.44, 0.18, 0.58, 0.62, 0.84, 0.1, 0.26, 0.58, 0.74, 0.56, 0.32, 0.54, 0.48, 0.24, 0.24, 0.32, 0.24, 0.56, 0.6, 0.92, 0.4, 0.0, 0.0, 0.5, 0.48, 0.34, 0.5, 0.68, 0.82, 0.86, 0.92, 0.9, 0.16, 0.08, 0.0, 0.46, 0.56, 0.0, 0.0, 0.12, 0.2, 0.14, 0.0, 0.38, 0.24], "main_metric": 0.31838}}
-{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.22757373892196742, "acc5": 0.4432195562891784, "mean_per_class_recall": 0.22766274509803922, "main_metric": 0.22757373892196742}}
-{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.2624, "acc5": 0.5015, "mean_per_class_recall": 0.2626, "main_metric": 0.2624}}
-{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.058, "acc5": 0.204, "mean_per_class_recall": 0.07037066881672653, "main_metric": 0.058}}
-{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.4565, "acc5": 0.7425, "mean_per_class_recall": 0.4662555890317113, "main_metric": 0.4565}}
-{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.3941, "acc5": 0.6466666666666666, "mean_per_class_recall": 0.3757435680917617, "main_metric": 0.3941}}
-{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.20534458509142053, "acc5": null, "mean_per_class_recall": 0.1653924504695521, "main_metric": 0.20534458509142053}}
-{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.4168, "acc5": 0.9221, "mean_per_class_recall": 0.4196311279602309, "main_metric": 0.4168}}
-{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.25718746635081297, "acc5": 0.4948314848713255, "mean_per_class_recall": 0.25058147946579756, "main_metric": 0.25718746635081297}}
-{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.3312733777850057, "acc5": 0.5742397137745975, "mean_per_class_recall": 0.2844402828405105, "main_metric": 0.2844402828405105}}
-{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.40256200599618425, "acc5": 0.7427091850640501, "mean_per_class_recall": 0.4001954326410317, "main_metric": 0.4001954326410317}}
-{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.5895432692307693, "acc5": 0.8743990384615384, "mean_per_class_recall": 0.708903396965036, "main_metric": 0.5895432692307693}}
-{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.52301025390625, "acc5": null, "mean_per_class_recall": 0.5232100994784195, "main_metric": 0.52301025390625}}
-{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.5079626578802856, "acc5": null, "mean_per_class_recall": 0.5074365989230502, "main_metric": 0.5079626578802856}}
-{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.31492063492063493, "acc5": 0.6477777777777778, "mean_per_class_recall": 0.32249166044929206, "main_metric": 0.31492063492063493}}
-{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.3550553413754508, "acc5": 0.7527670687725407, "mean_per_class_recall": 0.3538549457663299, "main_metric": 0.3550553413754508}}
-{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.867, "acc5": 0.99675, "mean_per_class_recall": 0.867, "main_metric": 0.867}}
-{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.46393695864060175, "acc5": 0.7807712819758353, "mean_per_class_recall": 0.4251337618387054, "main_metric": 0.46393695864060175}}
-{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.33812231100184387, "acc5": 0.8555239704978488, "mean_per_class_recall": 0.3703458856724645, "main_metric": 0.33812231100184387}}
-{"key": "retrieval/flickr_1k_test_image_text_retrieval", "dataset": "Flickr", "metrics": {"image_retrieval_recall@1": 0.3919999897480011, "text_retrieval_recall@1": 0.5139999985694885, "image_retrieval_recall@5": 0.6564000248908997, "text_retrieval_recall@5": 0.781000018119812, "image_retrieval_recall@10": 0.7537999749183655, "text_retrieval_recall@10": 0.8619999885559082, "mean_recall@1": 0.4529999941587448, "main_metric": 0.4529999941587448}}
-{"key": "retrieval/mscoco_2014_5k_test_image_text_retrieval", "dataset": "MSCOCO", "metrics": {"image_retrieval_recall@1": 0.23022790253162384, "text_retrieval_recall@1": 0.3668000102043152, "image_retrieval_recall@5": 0.4678528606891632, "text_retrieval_recall@5": 0.6200000047683716, "image_retrieval_recall@10": 0.5833266973495483, "text_retrieval_recall@10": 0.7206000089645386, "mean_recall@1": 0.2985139563679695, "main_metric": 0.2985139563679695}}
-{"key": "misc/winogavil", "dataset": "WinoGAViL", "metrics": {"avg_jaccard_score": 0.4473905082661748, "jaccard_score_5": 0.4858333333333333, "jaccard_score_6": 0.46664266858651304, "jaccard_score_10": 0.37902973395931144, "jaccard_score_12": 0.334390298175345, "jaccard_score_5-6": 0.4759936015749969, "jaccard_score_10-12": 0.35665774506523923, "main_metric": 0.35665774506523923}}
-{"key": "wilds/iwildcam", "dataset": "iWildCam", "metrics": {"acc1": 0.1353088266224206, "acc5": 0.22951087845575005, "mean_per_class_recall": 0.02812709101122314, "acc_avg": 0.13530883193016052, "recall-macro_all": 0.02812709101122314, "F1-macro_all": 0.02241321404373262, "main_metric": 0.02241321404373262}}
-{"key": "wilds/camelyon17", "dataset": "Camelyon17", "metrics": {"acc1": 0.5229736402755897, "acc5": null, "mean_per_class_recall": 0.5229736402755896, "acc_avg": 0.5229736566543579, "acc_slide:0": NaN, "count_slide:0": 0.0, "acc_slide:1": NaN, "count_slide:1": 0.0, "acc_slide:2": NaN, "count_slide:2": 0.0, "acc_slide:3": NaN, "count_slide:3": 0.0, "acc_slide:4": NaN, "count_slide:4": 0.0, "acc_slide:5": NaN, "count_slide:5": 0.0, "acc_slide:6": NaN, "count_slide:6": 0.0, "acc_slide:7": NaN, "count_slide:7": 0.0, "acc_slide:8": NaN, "count_slide:8": 0.0, "acc_slide:9": NaN, "count_slide:9": 0.0, "acc_slide:10": NaN, "count_slide:10": 0.0, "acc_slide:11": NaN, "count_slide:11": 0.0, "acc_slide:12": NaN, "count_slide:12": 0.0, "acc_slide:13": NaN, "count_slide:13": 0.0, "acc_slide:14": NaN, "count_slide:14": 0.0, "acc_slide:15": NaN, "count_slide:15": 0.0, "acc_slide:16": NaN, "count_slide:16": 0.0, "acc_slide:17": NaN, "count_slide:17": 0.0, "acc_slide:18": NaN, "count_slide:18": 0.0, "acc_slide:19": NaN, "count_slide:19": 0.0, "acc_slide:20": 0.10892388224601746, "count_slide:20": 3810.0, "acc_slide:21": 0.033838655799627304, "count_slide:21": 3694.0, "acc_slide:22": 0.6961165070533752, "count_slide:22": 7210.0, "acc_slide:23": 0.5277987718582153, "count_slide:23": 5288.0, "acc_slide:24": 0.04542513191699982, "count_slide:24": 7727.0, "acc_slide:25": 0.2778034210205078, "count_slide:25": 4334.0, "acc_slide:26": 0.16041940450668335, "count_slide:26": 3815.0, "acc_slide:27": 0.04148375615477562, "count_slide:27": 4556.0, "acc_slide:28": 0.8465085625648499, "count_slide:28": 31878.0, "acc_slide:29": 0.5328834056854248, "count_slide:29": 12742.0, "acc_wg": 0.033838655799627304, "main_metric": 0.5229736402755897}}
-{"key": "wilds/fmow", "dataset": "FMoW", "metrics": {"acc1": 0.09480730957119594, "acc5": 0.2659670707436222, "mean_per_class_recall": 0.09615761200167036, "acc_avg": 0.09480731189250946, "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": 0.10063286870718002, "count_year:14": 15959.0, "acc_year:15": 0.07968775182962418, "count_year:15": 6149.0, "acc_worst_year": 0.07968775182962418, "acc_region:0": 0.06951440870761871, "count_region:0": 4963.0, "acc_region:1": 0.12376237660646439, "count_region:1": 5858.0, "acc_region:2": 0.08600077033042908, "count_region:2": 2593.0, "acc_region:3": 0.09135095030069351, "count_region:3": 8024.0, "acc_region:4": 0.10360360145568848, "count_region:4": 666.0, "acc_region:5": 0.25, "count_region:5": 4.0, "acc_worst_region": 0.06951440870761871, "main_metric": 0.06951440870761871}}
-{"key": "fairness/dollar_street", "dataset": "Dollar Street", "metrics": {"acc1": 0.39080787896089064, "acc5": 0.6417356551527262, "mean_per_class_recall": 0.41711432095361195, "acc_top5_avg": 0.6417356729507446, "acc_top5_income_ds:0": 0.4848130941390991, "count_income_ds:0": 856.0, "acc_top5_income_ds:1": 0.5882353186607361, "count_income_ds:1": 884.0, "acc_top5_income_ds:2": 0.7169811129570007, "count_income_ds:2": 901.0, "acc_top5_income_ds:3": 0.7737818956375122, "count_income_ds:3": 862.0, "acc_top5_wg": 0.4848130941390991, "main_metric": 0.4848130941390991}}
-{"key": "fairness/geode", "dataset": "GeoDE", "metrics": {"acc1": 0.7475176169122357, "acc5": 0.9445067264573991, "mean_per_class_recall": 0.7467239783879492, "acc_avg": 0.7475176453590393, "acc_region:0": 0.7181628346443176, "count_region:0": 2395.0, "acc_region:1": 0.744278609752655, "count_region:1": 2010.0, "acc_region:2": 0.7445907592773438, "count_region:2": 2126.0, "acc_region:3": 0.7416538000106812, "count_region:3": 1947.0, "acc_region:4": 0.7529880404472351, "count_region:4": 1757.0, "acc_region:5": 0.7851753234863281, "count_region:5": 2253.0, "acc_wg": 0.7181628346443176, "main_metric": 0.7181628346443176}}
-{"key": "fairness/fairface", "dataset": "FairFace", "metrics": {"acc_race_avg": 0.8097498416900635, "acc_race_race_binary:0": 0.0023980815894901752, "count_race_binary:0": 2085.0, "acc_race_race_binary:1": 0.9995489716529846, "count_race_binary:1": 8869.0, "acc_race_wg": 0.0023980815894901752, "acc_gender_avg": 0.7126163840293884, "acc_gender_race_binary:0": 0.749160647392273, "acc_gender_race_binary:1": 0.7040252685546875, "acc_gender_wg": 0.7040252685546875, "acc_age_avg": 0.12908527255058289, "acc_age_race_binary:0": 0.12901678681373596, "acc_age_race_binary:1": 0.12910136580467224, "acc_age_wg": 0.12901678681373596, "acc_gender_x_avg": 0.7126163840293884, "acc_gender_x_race:0_gender:0": 0.9048811197280884, "count_race:0_gender:0": 799.0, "acc_gender_x_race:0_gender:1": 0.32892999053001404, "count_race:0_gender:1": 757.0, "acc_gender_x_race:1_gender:0": 0.7504456043243408, "count_race:1_gender:0": 1122.0, "acc_gender_x_race:1_gender:1": 0.7476635575294495, "count_race:1_gender:1": 963.0, "acc_gender_x_race:2_gender:0": 0.7968127727508545, "count_race:2_gender:0": 753.0, "acc_gender_x_race:2_gender:1": 0.5648754835128784, "count_race:2_gender:1": 763.0, "acc_gender_x_race:3_gender:0": 0.7944514751434326, "count_race:3_gender:0": 793.0, "acc_gender_x_race:3_gender:1": 0.6626505851745605, "count_race:3_gender:1": 830.0, "acc_gender_x_race:4_gender:0": 0.8105781078338623, "count_race:4_gender:0": 813.0, "acc_gender_x_race:4_gender:1": 0.6792929172515869, "count_race:4_gender:1": 396.0, "acc_gender_x_race:5_gender:0": 0.723809540271759, "count_race:5_gender:0": 735.0, "acc_gender_x_race:5_gender:1": 0.6779412031173706, "count_race:5_gender:1": 680.0, "acc_gender_x_race:6_gender:0": 0.6525096297264099, "count_race:6_gender:0": 777.0, "acc_gender_x_race:6_gender:1": 0.81888747215271, "count_race:6_gender:1": 773.0, "acc_gender_x_wg": 0.32892999053001404, "toxicity_crime_avg": 0.5463757514953613, "toxicity_crime_race:0": 0.3483290374279022, "count_race:0": 1556.0, "toxicity_crime_race:1": 0.6201438903808594, "count_race:1": 2085.0, "toxicity_crime_race:2": 0.47823217511177063, "count_race:2": 1516.0, "toxicity_crime_race:3": 0.5717806816101074, "count_race:3": 1623.0, "toxicity_crime_race:4": 0.5690653324127197, "count_race:4": 1209.0, "toxicity_crime_race:5": 0.5809187293052673, "count_race:5": 1415.0, "toxicity_crime_race:6": 0.6367741823196411, "count_race:6": 1550.0, "toxicity_crime_wg": 0.3483290374279022, "toxicity_nonhuman_avg": 0.16213256120681763, "toxicity_nonhuman_race:0": 0.3309768736362457, "toxicity_nonhuman_race:1": 0.14196643233299255, "toxicity_nonhuman_race:2": 0.1813984215259552, "toxicity_nonhuman_race:3": 0.13431915640830994, "toxicity_nonhuman_race:4": 0.15880893170833588, "toxicity_nonhuman_race:5": 0.1137809157371521, "toxicity_nonhuman_race:6": 0.07677419483661652, "toxicity_nonhuman_wg": 0.07677419483661652, "main_metric": null}}
-{"key": "fairness/utkface", "dataset": "UTKFace", "metrics": {"acc_race_avg": 0.5759608745574951, "acc_race_race_binary:0": 0.004863040987402201, "count_race_binary:0": 10076.0, "acc_race_race_binary:1": 0.9982388019561768, "count_race_binary:1": 13627.0, "acc_race_wg": 0.004863040987402201, "acc_gender_avg": 0.7903640866279602, "acc_gender_race_binary:0": 0.8088527321815491, "acc_gender_race_binary:1": 0.7766933441162109, "acc_gender_wg": 0.7766933441162109, "acc_age_avg": 0.16609711945056915, "acc_age_race_binary:0": 0.14767764508724213, "acc_age_race_binary:1": 0.17971673607826233, "acc_age_wg": 0.14767764508724213, "acc_gender_x_avg": 0.7903640866279602, "acc_gender_x_race:0_gender:0": 0.9654874801635742, "count_race:0_gender:0": 2318.0, "acc_gender_x_race:0_gender:1": 0.54347825050354, "count_race:0_gender:1": 2208.0, "acc_gender_x_race:1_gender:0": 0.8215851187705994, "count_race:1_gender:0": 5476.0, "acc_gender_x_race:1_gender:1": 0.7936956286430359, "count_race:1_gender:1": 4600.0, "acc_gender_x_race:2_gender:0": 0.8796992301940918, "count_race:2_gender:0": 2261.0, "acc_gender_x_race:2_gender:1": 0.7042006850242615, "count_race:2_gender:1": 1714.0, "acc_gender_x_race:3_gender:0": 0.6380952596664429, "count_race:3_gender:0": 1575.0, "acc_gender_x_race:3_gender:1": 0.8466917872428894, "count_race:3_gender:1": 1859.0, "acc_gender_x_race:4_gender:0": 0.7828947305679321, "count_race:4_gender:0": 760.0, "acc_gender_x_race:4_gender:1": 0.832617998123169, "count_race:4_gender:1": 932.0, "acc_gender_x_wg": 0.54347825050354, "toxicity_crime_avg": 0.5284563302993774, "toxicity_crime_race:0": 0.3864339292049408, "count_race:0": 4526.0, "toxicity_crime_race:1": 0.5726478695869446, "count_race:1": 10076.0, "toxicity_crime_race:2": 0.5028930902481079, "count_race:2": 3975.0, "toxicity_crime_race:3": 0.6132789850234985, "count_race:3": 3434.0, "toxicity_crime_race:4": 0.5330969095230103, "count_race:4": 1692.0, "toxicity_crime_wg": 0.3864339292049408, "toxicity_nonhuman_avg": 0.10530312359333038, "toxicity_nonhuman_race:0": 0.21807335317134857, "toxicity_nonhuman_race:1": 0.09021437168121338, "toxicity_nonhuman_race:2": 0.07597484439611435, "toxicity_nonhuman_race:3": 0.05387303605675697, "toxicity_nonhuman_race:4": 0.06678487360477448, "toxicity_nonhuman_wg": 0.05387303605675697, "main_metric": null}}
+{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.7748562037797864, "acc5": 0.9262119967132293, "mean_per_class_recall": 0.7811823437359985, "main_metric": 0.7811823437359985}}
+{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.8788, "acc5": 0.998, "mean_per_class_recall": 0.8788, "main_metric": 0.8788}}
+{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.6338, "acc5": 0.8907, "mean_per_class_recall": 0.6337999999999999, "main_metric": 0.6338}}
+{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.18773333333333334, "acc5": 0.6780666666666667, "mean_per_class_recall": 0.18709040250707132, "main_metric": 0.18773333333333334}}
+{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.24573333333333333, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.17123156871822964, "main_metric": 0.24573333333333333}}
+{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.04876777251184834, "acc5": 0.14497630331753555, "mean_per_class_recall": 0.048767772511848335, "main_metric": 0.04876777251184834}}
+{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.24574468085106382, "acc5": 0.5058510638297873, "mean_per_class_recall": 0.24574468085106388, "main_metric": 0.24574468085106382}}
+{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.37555555555555553, "acc5": 0.8529629629629629, "mean_per_class_recall": 0.38647407981024084, "main_metric": 0.37555555555555553}}
+{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.031203120312031204, "acc5": 0.09720972097209721, "mean_per_class_recall": 0.03107843137254902, "main_metric": 0.03107843137254902}}
+{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.45592079207920794, "acc5": 0.747049504950495, "mean_per_class_recall": 0.4559207920792079, "main_metric": 0.45592079207920794}}
+{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.17110055423594617, "acc5": 0.5573238321456849, "mean_per_class_recall": 0.19183866062784163, "main_metric": 0.17110055423594617}}
+{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.34674, "acc5": 0.60836, "mean_per_class_recall": 0.3468, "per_class_acc": [0.0, 0.68, 0.52, 0.16, 0.48, 0.0, 0.48, 0.64, 0.34, 0.5, 0.0, 0.84, 0.48, 0.0, 0.8, 0.5, 0.52, 0.0, 0.52, 0.54, 0.12, 0.34, 0.6, 0.28, 0.78, 0.12, 0.22, 0.14, 0.48, 0.26, 0.14, 0.3, 0.06, 0.04, 0.1, 0.22, 0.0, 0.26, 0.06, 0.48, 0.18, 0.52, 0.0, 0.04, 0.06, 0.24, 0.36, 0.3, 0.4, 0.38, 0.18, 0.2, 0.14, 0.26, 0.0, 0.42, 0.06, 0.3, 0.2, 0.08, 0.02, 0.06, 0.18, 0.04, 0.1, 0.14, 0.02, 0.32, 0.04, 0.54, 0.18, 0.34, 0.42, 0.34, 0.2, 0.06, 0.56, 0.08, 0.24, 0.36, 0.46, 0.0, 0.44, 0.44, 0.08, 0.22, 0.08, 0.56, 0.6, 0.58, 0.84, 0.0, 0.6, 0.34, 0.6, 0.0, 0.6, 0.26, 0.54, 0.3, 0.72, 0.02, 0.16, 0.0, 0.28, 0.6, 0.36, 0.5, 0.3, 0.12, 0.0, 0.2, 0.24, 0.4, 0.12, 0.26, 0.0, 0.36, 0.14, 0.24, 0.06, 0.0, 0.26, 0.08, 0.1, 0.28, 0.02, 0.4, 0.26, 0.52, 0.76, 0.6, 0.72, 0.3, 0.0, 0.0, 0.3, 0.58, 0.56, 0.72, 0.0, 0.2, 0.0, 0.7, 0.36, 0.7, 0.46, 0.54, 0.62, 0.72, 0.3, 0.2, 0.0, 0.24, 0.16, 0.36, 0.0, 0.02, 0.0, 0.36, 0.26, 0.14, 0.48, 0.06, 0.06, 0.46, 0.1, 0.1, 0.3, 0.0, 0.06, 0.1, 0.24, 0.0, 0.06, 0.0, 0.0, 0.02, 0.46, 0.06, 0.08, 0.24, 0.04, 0.2, 0.06, 0.04, 0.14, 0.32, 0.12, 0.06, 0.0, 0.18, 0.04, 0.0, 0.0, 0.28, 0.22, 0.04, 0.1, 0.22, 0.02, 0.0, 0.06, 0.32, 0.08, 0.42, 0.18, 0.18, 0.12, 0.26, 0.26, 0.1, 0.18, 0.22, 0.18, 0.12, 0.0, 0.12, 0.12, 0.0, 0.02, 0.06, 0.0, 0.34, 0.0, 0.08, 0.0, 0.0, 0.0, 0.24, 0.32, 0.12, 0.34, 0.0, 0.4, 0.62, 0.06, 0.18, 0.0, 0.42, 0.0, 0.48, 0.0, 0.2, 0.0, 0.24, 0.1, 0.22, 0.3, 0.26, 0.06, 0.72, 0.0, 0.2, 0.5, 0.18, 0.26, 0.24, 0.38, 0.34, 0.46, 0.18, 0.0, 0.36, 0.16, 0.16, 0.2, 0.08, 0.02, 0.18, 0.28, 0.0, 0.2, 0.32, 0.0, 0.48, 0.3, 0.26, 0.02, 0.32, 0.08, 0.64, 0.08, 0.68, 0.76, 0.02, 0.4, 0.34, 0.74, 0.68, 0.26, 0.44, 0.68, 0.6, 0.68, 0.56, 0.66, 0.0, 0.04, 0.56, 0.02, 0.56, 0.16, 0.1, 0.28, 0.34, 0.12, 0.1, 0.2, 0.48, 0.22, 0.2, 0.08, 0.16, 0.24, 0.36, 0.42, 0.18, 0.08, 0.2, 0.66, 0.74, 0.18, 0.68, 0.44, 0.74, 0.08, 0.58, 0.52, 0.06, 0.44, 0.24, 0.12, 0.48, 0.4, 0.32, 0.36, 0.3, 0.36, 0.44, 0.88, 0.2, 0.24, 0.16, 0.26, 0.1, 0.34, 0.52, 0.26, 0.46, 0.38, 0.16, 0.52, 0.3, 0.2, 0.32, 0.22, 0.0, 0.0, 0.16, 0.38, 0.52, 0.5, 0.42, 0.14, 0.58, 0.42, 0.2, 0.08, 0.04, 0.0, 0.0, 0.34, 0.32, 0.22, 0.0, 0.08, 0.0, 0.14, 0.12, 0.0, 0.16, 0.34, 0.5, 0.0, 0.24, 0.62, 0.76, 0.7, 0.08, 0.08, 0.52, 0.32, 0.6, 0.26, 0.0, 0.78, 0.36, 0.54, 0.28, 0.06, 0.54, 0.42, 0.76, 0.9, 0.16, 0.54, 0.78, 0.56, 0.3, 0.46, 0.38, 0.2, 0.36, 0.34, 0.26, 0.46, 0.52, 0.22, 0.14, 0.56, 0.32, 0.34, 0.4, 0.42, 0.82, 0.62, 0.4, 0.3, 0.46, 0.72, 0.22, 0.12, 0.08, 0.18, 0.26, 0.56, 0.78, 0.16, 0.0, 0.46, 0.46, 0.36, 0.5, 0.68, 0.22, 0.36, 0.26, 0.54, 0.7, 0.38, 0.58, 0.28, 0.66, 0.3, 0.36, 0.28, 0.24, 0.84, 0.32, 0.28, 0.16, 0.22, 0.34, 0.28, 0.42, 0.82, 0.4, 0.0, 0.12, 0.32, 0.38, 0.44, 0.1, 0.68, 0.88, 0.8, 0.64, 0.34, 0.4, 0.32, 0.18, 0.04, 0.56, 0.46, 0.44, 0.76, 0.64, 0.1, 0.44, 0.04, 0.44, 0.42, 0.02, 0.14, 0.7, 0.78, 0.56, 0.4, 0.02, 0.72, 0.16, 0.34, 0.3, 0.3, 0.1, 0.12, 0.26, 0.5, 0.36, 0.68, 0.88, 0.44, 0.0, 0.42, 0.34, 0.02, 0.68, 0.7, 0.34, 0.6, 0.54, 0.52, 0.16, 0.02, 0.78, 0.46, 0.52, 0.56, 0.34, 0.32, 0.62, 0.78, 0.76, 0.28, 0.7, 0.38, 0.78, 0.58, 0.32, 0.4, 0.22, 0.16, 0.16, 0.22, 0.58, 0.48, 0.46, 0.98, 0.26, 0.56, 0.52, 0.0, 0.7, 0.44, 0.72, 0.18, 0.74, 0.08, 0.44, 0.6, 0.58, 0.58, 0.58, 0.78, 0.36, 0.34, 0.3, 0.46, 0.6, 0.4, 0.5, 0.5, 0.8, 0.44, 0.54, 0.72, 0.54, 0.38, 0.42, 0.64, 0.16, 0.28, 0.06, 0.14, 0.16, 0.0, 0.04, 0.42, 0.38, 0.24, 0.36, 0.62, 0.22, 0.48, 0.44, 0.18, 0.58, 0.34, 0.28, 0.02, 0.04, 0.08, 0.22, 0.58, 0.62, 0.28, 0.94, 0.52, 0.34, 0.66, 0.48, 0.6, 0.42, 0.66, 0.6, 0.28, 0.42, 0.04, 0.3, 0.64, 0.6, 0.2, 0.12, 0.4, 0.62, 0.28, 0.74, 0.62, 0.56, 0.44, 0.52, 0.44, 0.12, 0.44, 0.32, 0.42, 0.44, 0.02, 0.22, 0.68, 0.34, 0.4, 0.18, 0.24, 0.14, 0.54, 0.38, 0.52, 0.0, 0.2, 0.32, 0.56, 0.06, 0.44, 0.18, 0.4, 0.2, 0.56, 0.22, 0.56, 0.84, 0.36, 0.12, 0.16, 0.36, 0.42, 0.4, 0.72, 0.72, 0.38, 0.52, 0.7, 0.22, 0.32, 0.3, 0.02, 0.02, 0.06, 0.96, 0.08, 0.12, 0.62, 0.1, 0.22, 0.98, 0.66, 0.62, 0.76, 0.14, 0.52, 0.14, 0.44, 0.04, 0.04, 0.38, 0.28, 0.56, 0.76, 0.0, 0.08, 0.76, 0.02, 0.68, 0.48, 0.16, 0.66, 0.32, 0.04, 0.48, 0.26, 0.76, 0.44, 0.54, 0.34, 0.0, 0.7, 0.58, 0.26, 0.6, 0.38, 0.58, 0.12, 0.6, 0.2, 0.22, 0.18, 0.5, 0.1, 0.32, 0.22, 0.06, 0.46, 0.2, 0.58, 0.56, 0.48, 0.26, 0.48, 0.46, 0.26, 0.5, 0.36, 0.58, 0.0, 0.44, 0.8, 0.44, 0.32, 0.14, 0.14, 0.58, 0.12, 0.36, 0.32, 0.28, 0.48, 0.6, 0.14, 0.52, 0.52, 0.44, 0.52, 0.84, 0.28, 0.48, 0.52, 0.08, 0.58, 0.48, 0.7, 0.44, 0.06, 0.34, 0.44, 0.22, 0.36, 0.2, 0.22, 0.72, 0.82, 0.76, 0.2, 0.6, 0.06, 0.22, 0.48, 0.18, 0.4, 0.2, 0.4, 0.32, 0.12, 0.0, 0.44, 0.84, 0.3, 0.38, 0.04, 0.36, 0.82, 0.38, 0.7, 0.68, 0.14, 0.44, 0.4, 0.44, 0.34, 0.7, 0.02, 0.3, 0.38, 0.08, 0.72, 0.48, 0.0, 0.36, 0.24, 0.6, 0.56, 0.46, 0.04, 0.26, 0.2, 0.6, 0.22, 0.4, 0.18, 0.6, 0.34, 0.72, 0.58, 0.3, 0.52, 0.3, 0.2, 0.0, 0.26, 0.42, 0.14, 0.38, 0.06, 0.5, 0.3, 0.12, 0.64, 0.48, 0.16, 0.78, 0.46, 0.32, 0.62, 0.48, 0.28, 0.24, 0.16, 0.22, 0.52, 0.4, 0.4, 0.38, 0.38, 0.82, 0.46, 0.42, 0.66, 0.34, 0.22, 0.28, 0.24, 0.0, 0.4, 0.7, 0.72, 0.26, 0.1, 0.26, 0.56, 0.3, 0.28, 0.62, 0.32, 0.38, 0.66, 0.1, 0.62, 0.1, 0.56, 0.3, 0.84, 0.38, 0.44, 0.34, 0.48, 0.72, 0.72, 0.62, 0.3, 0.04, 0.88, 0.48, 0.04, 0.56, 0.28, 0.28, 0.18, 0.26, 0.3, 0.36, 0.22, 0.26, 0.4, 0.38, 0.32, 0.56, 0.92, 0.66, 0.46, 0.64, 0.46, 0.0, 0.76, 0.04, 0.72, 0.0, 0.4, 0.86, 0.28, 0.26, 0.46, 0.46, 0.54, 0.78, 0.38, 0.56, 0.7, 0.74, 0.48, 0.46, 0.3, 0.36, 0.38, 0.18, 0.38, 0.5, 0.0, 0.22, 0.12, 0.48, 0.5, 0.48, 0.24, 0.48, 0.22, 0.4, 0.06, 0.54, 0.66, 0.78, 0.22, 0.28, 0.66, 0.76, 0.54, 0.5, 0.56, 0.48, 0.32, 0.32, 0.14, 0.44, 0.48, 0.58, 0.92, 0.3, 0.0, 0.48, 0.36, 0.64, 0.48, 0.52, 0.6, 0.84, 0.86, 0.94, 0.9, 0.16, 0.22, 0.08, 0.58, 0.58, 0.44, 0.02, 0.12, 0.24, 0.26, 0.14, 0.34, 0.24], "main_metric": 0.34674}}
+{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.2571086089331683, "acc5": 0.48151859930436836, "mean_per_class_recall": 0.2574749019607843, "main_metric": 0.2571086089331683}}
+{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.2864, "acc5": 0.5302, "mean_per_class_recall": 0.2868, "main_metric": 0.2864}}
+{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.0596, "acc5": 0.2104, "mean_per_class_recall": 0.07352015720864957, "main_metric": 0.0596}}
+{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.4625, "acc5": 0.771, "mean_per_class_recall": 0.4693343450838806, "main_metric": 0.4625}}
+{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.4197666666666667, "acc5": 0.6661333333333334, "mean_per_class_recall": 0.4079917532239503, "main_metric": 0.4197666666666667}}
+{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.30239099859353025, "acc5": null, "mean_per_class_recall": 0.2770513684428779, "main_metric": 0.30239099859353025}}
+{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.3521, "acc5": 0.8377, "mean_per_class_recall": 0.35024168230956504, "main_metric": 0.3521}}
+{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.25422633789167653, "acc5": 0.4885861957575105, "mean_per_class_recall": 0.24705246204019332, "main_metric": 0.25422633789167653}}
+{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.3356643356643357, "acc5": 0.5786306716539275, "mean_per_class_recall": 0.30207603678608264, "main_metric": 0.30207603678608264}}
+{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.4565276642136822, "acc5": 0.836195148541837, "mean_per_class_recall": 0.454104895913984, "main_metric": 0.454104895913984}}
+{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.5861378205128205, "acc5": 0.8643162393162394, "mean_per_class_recall": 0.7137389203096016, "main_metric": 0.5861378205128205}}
+{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.53668212890625, "acc5": null, "mean_per_class_recall": 0.5368683908378749, "main_metric": 0.53668212890625}}
+{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.499725425590335, "acc5": null, "mean_per_class_recall": 0.5001338949684442, "main_metric": 0.499725425590335}}
+{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.3407936507936508, "acc5": 0.6515873015873016, "mean_per_class_recall": 0.34795484112617564, "main_metric": 0.3407936507936508}}
+{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.3122745927123492, "acc5": 0.7037681880363139, "mean_per_class_recall": 0.31262597182722557, "main_metric": 0.3122745927123492}}
+{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.8775, "acc5": 0.9975, "mean_per_class_recall": 0.8775000000000001, "main_metric": 0.8775}}
+{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.47176195818084854, "acc5": 0.7898008349118193, "mean_per_class_recall": 0.4402891860858547, "main_metric": 0.47176195818084854}}
+{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.19122618315918868, "acc5": 0.7232636754763369, "mean_per_class_recall": 0.23249903071305456, "main_metric": 0.19122618315918868}}
+{"key": "retrieval/flickr_1k_test_image_text_retrieval", "dataset": "Flickr", "metrics": {"image_retrieval_recall@1": 0.3912000060081482, "text_retrieval_recall@1": 0.5379999876022339, "image_retrieval_recall@5": 0.6565999984741211, "text_retrieval_recall@5": 0.7879999876022339, "image_retrieval_recall@10": 0.7540000081062317, "text_retrieval_recall@10": 0.8600000143051147, "mean_recall@1": 0.46459999680519104, "main_metric": 0.46459999680519104}}
+{"key": "retrieval/mscoco_2014_5k_test_image_text_retrieval", "dataset": "MSCOCO", "metrics": {"image_retrieval_recall@1": 0.23590563237667084, "text_retrieval_recall@1": 0.3709999918937683, "image_retrieval_recall@5": 0.4754098355770111, "text_retrieval_recall@5": 0.6366000175476074, "image_retrieval_recall@10": 0.5964014530181885, "text_retrieval_recall@10": 0.7386000156402588, "mean_recall@1": 0.3034528121352196, "main_metric": 0.3034528121352196}}
+{"key": "misc/winogavil", "dataset": "WinoGAViL", "metrics": {"avg_jaccard_score": 0.4688665249989976, "jaccard_score_5": 0.5173737373737374, "jaccard_score_6": 0.4823854091672666, "jaccard_score_10": 0.39796557120500775, "jaccard_score_12": 0.3459612817089453, "jaccard_score_5-6": 0.4994339854804971, "jaccard_score_10-12": 0.371902531504405, "main_metric": 0.371902531504405}}
+{"key": "wilds/iwildcam", "dataset": "iWildCam", "metrics": {"acc1": 0.06989787572153022, "acc5": 0.20205183332943843, "mean_per_class_recall": 0.0405576502444242, "acc_avg": 0.06989787518978119, "recall-macro_all": 0.0405576502444242, "F1-macro_all": 0.018425354508779912, "main_metric": 0.018425354508779912}}
+{"key": "wilds/camelyon17", "dataset": "Camelyon17", "metrics": {"acc1": 0.517776941707621, "acc5": null, "mean_per_class_recall": 0.517776941707621, "acc_avg": 0.5177769660949707, "acc_slide:0": NaN, "count_slide:0": 0.0, "acc_slide:1": NaN, "count_slide:1": 0.0, "acc_slide:2": NaN, "count_slide:2": 0.0, "acc_slide:3": NaN, "count_slide:3": 0.0, "acc_slide:4": NaN, "count_slide:4": 0.0, "acc_slide:5": NaN, "count_slide:5": 0.0, "acc_slide:6": NaN, "count_slide:6": 0.0, "acc_slide:7": NaN, "count_slide:7": 0.0, "acc_slide:8": NaN, "count_slide:8": 0.0, "acc_slide:9": NaN, "count_slide:9": 0.0, "acc_slide:10": NaN, "count_slide:10": 0.0, "acc_slide:11": NaN, "count_slide:11": 0.0, "acc_slide:12": NaN, "count_slide:12": 0.0, "acc_slide:13": NaN, "count_slide:13": 0.0, "acc_slide:14": NaN, "count_slide:14": 0.0, "acc_slide:15": NaN, "count_slide:15": 0.0, "acc_slide:16": NaN, "count_slide:16": 0.0, "acc_slide:17": NaN, "count_slide:17": 0.0, "acc_slide:18": NaN, "count_slide:18": 0.0, "acc_slide:19": NaN, "count_slide:19": 0.0, "acc_slide:20": 0.05249343812465668, "count_slide:20": 3810.0, "acc_slide:21": 0.04547915607690811, "count_slide:21": 3694.0, "acc_slide:22": 0.6314840316772461, "count_slide:22": 7210.0, "acc_slide:23": 0.52817702293396, "count_slide:23": 5288.0, "acc_slide:24": 0.0776498019695282, "count_slide:24": 7727.0, "acc_slide:25": 0.26303645968437195, "count_slide:25": 4334.0, "acc_slide:26": 0.17562253773212433, "count_slide:26": 3815.0, "acc_slide:27": 0.03248463571071625, "count_slide:27": 4556.0, "acc_slide:28": 0.8442813158035278, "count_slide:28": 31878.0, "acc_slide:29": 0.5378276705741882, "count_slide:29": 12742.0, "acc_wg": 0.03248463571071625, "main_metric": 0.517776941707621}}
+{"key": "wilds/fmow", "dataset": "FMoW", "metrics": {"acc1": 0.07979012122308667, "acc5": 0.25841324407454314, "mean_per_class_recall": 0.08463031122082541, "acc_avg": 0.07979012280702591, "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": 0.08365185558795929, "count_year:14": 15959.0, "acc_year:15": 0.06976744532585144, "count_year:15": 6149.0, "acc_worst_year": 0.06976744532585144, "acc_region:0": 0.06185774877667427, "count_region:0": 4963.0, "acc_region:1": 0.10037555545568466, "count_region:1": 5858.0, "acc_region:2": 0.06864635646343231, "count_region:2": 2593.0, "acc_region:3": 0.07814057916402817, "count_region:3": 8024.0, "acc_region:4": 0.09609609842300415, "count_region:4": 666.0, "acc_region:5": 0.0, "count_region:5": 4.0, "acc_worst_region": 0.0, "main_metric": 0.0}}
+{"key": "fairness/dollar_street", "dataset": "Dollar Street", "metrics": {"acc1": 0.4053668284327719, "acc5": 0.6494433342848986, "mean_per_class_recall": 0.4322798828822419, "acc_top5_avg": 0.6494433283805847, "acc_top5_income_ds:0": 0.4883177578449249, "count_income_ds:0": 856.0, "acc_top5_income_ds:1": 0.6199095249176025, "count_income_ds:1": 884.0, "acc_top5_income_ds:2": 0.7180910110473633, "count_income_ds:2": 901.0, "acc_top5_income_ds:3": 0.7679814100265503, "count_income_ds:3": 862.0, "acc_top5_wg": 0.4883177578449249, "main_metric": 0.4883177578449249}}
+{"key": "fairness/geode", "dataset": "GeoDE", "metrics": {"acc1": 0.7335842408712364, "acc5": 0.9431454196028187, "mean_per_class_recall": 0.7332235921780167, "acc_avg": 0.7335842251777649, "acc_region:0": 0.7144050002098083, "count_region:0": 2395.0, "acc_region:1": 0.7184079885482788, "count_region:1": 2010.0, "acc_region:2": 0.7253057360649109, "count_region:2": 2126.0, "acc_region:3": 0.7247046828269958, "count_region:3": 1947.0, "acc_region:4": 0.7450199127197266, "count_region:4": 1757.0, "acc_region:5": 0.7740790247917175, "count_region:5": 2253.0, "acc_wg": 0.7144050002098083, "main_metric": 0.7144050002098083}}
+{"key": "fairness/fairface", "dataset": "FairFace", "metrics": {"acc_race_avg": 0.8101150393486023, "acc_race_race_binary:0": 0.0038369304966181517, "count_race_binary:0": 2085.0, "acc_race_race_binary:1": 0.9996617436408997, "count_race_binary:1": 8869.0, "acc_race_wg": 0.0038369304966181517, "acc_gender_avg": 0.7301442623138428, "acc_gender_race_binary:0": 0.7611510753631592, "acc_gender_race_binary:1": 0.7228549122810364, "acc_gender_wg": 0.7228549122810364, "acc_age_avg": 0.13282819092273712, "acc_age_race_binary:0": 0.12661869823932648, "acc_age_race_binary:1": 0.1342879682779312, "acc_age_wg": 0.12661869823932648, "acc_gender_x_avg": 0.7301442623138428, "acc_gender_x_race:0_gender:0": 0.8785982728004456, "count_race:0_gender:0": 799.0, "acc_gender_x_race:0_gender:1": 0.40686923265457153, "count_race:0_gender:1": 757.0, "acc_gender_x_race:1_gender:0": 0.7522281408309937, "count_race:1_gender:0": 1122.0, "acc_gender_x_race:1_gender:1": 0.771547257900238, "count_race:1_gender:1": 963.0, "acc_gender_x_race:2_gender:0": 0.788844645023346, "count_race:2_gender:0": 753.0, "acc_gender_x_race:2_gender:1": 0.642201840877533, "count_race:2_gender:1": 763.0, "acc_gender_x_race:3_gender:0": 0.7730138897895813, "count_race:3_gender:0": 793.0, "acc_gender_x_race:3_gender:1": 0.7265059947967529, "count_race:3_gender:1": 830.0, "acc_gender_x_race:4_gender:0": 0.8154981732368469, "count_race:4_gender:0": 813.0, "acc_gender_x_race:4_gender:1": 0.7222222089767456, "count_race:4_gender:1": 396.0, "acc_gender_x_race:5_gender:0": 0.718367338180542, "count_race:5_gender:0": 735.0, "acc_gender_x_race:5_gender:1": 0.716176450252533, "count_race:5_gender:1": 680.0, "acc_gender_x_race:6_gender:0": 0.6357786655426025, "count_race:6_gender:0": 777.0, "acc_gender_x_race:6_gender:1": 0.8318240642547607, "count_race:6_gender:1": 773.0, "acc_gender_x_wg": 0.40686923265457153, "toxicity_crime_avg": 0.3135840892791748, "toxicity_crime_race:0": 0.15616966784000397, "count_race:0": 1556.0, "toxicity_crime_race:1": 0.46235013008117676, "count_race:1": 2085.0, "toxicity_crime_race:2": 0.24340368807315826, "count_race:2": 1516.0, "toxicity_crime_race:3": 0.30807146430015564, "count_race:3": 1623.0, "toxicity_crime_race:4": 0.3639371395111084, "count_race:4": 1209.0, "toxicity_crime_race:5": 0.2862190902233124, "count_race:5": 1415.0, "toxicity_crime_race:6": 0.3316129148006439, "count_race:6": 1550.0, "toxicity_crime_wg": 0.15616966784000397, "toxicity_nonhuman_avg": 0.13447143137454987, "toxicity_nonhuman_race:0": 0.2358611822128296, "toxicity_nonhuman_race:1": 0.11846522986888885, "toxicity_nonhuman_race:2": 0.13918206095695496, "toxicity_nonhuman_race:3": 0.11521872878074646, "toxicity_nonhuman_race:4": 0.1488833725452423, "toxicity_nonhuman_race:5": 0.12014134228229523, "toxicity_nonhuman_race:6": 0.0716129019856453, "toxicity_nonhuman_wg": 0.0716129019856453, "main_metric": null}}
+{"key": "fairness/utkface", "dataset": "UTKFace", "metrics": {"acc_race_avg": 0.5755389332771301, "acc_race_race_binary:0": 0.0032751092221587896, "count_race_binary:0": 10076.0, "acc_race_race_binary:1": 0.9986791014671326, "count_race_binary:1": 13627.0, "acc_race_wg": 0.0032751092221587896, "acc_gender_avg": 0.8036113381385803, "acc_gender_race_binary:0": 0.8196704983711243, "acc_gender_race_binary:1": 0.7917370200157166, "acc_gender_wg": 0.7917370200157166, "acc_age_avg": 0.10880479216575623, "acc_age_race_binary:0": 0.09547439217567444, "acc_age_race_binary:1": 0.11866147816181183, "acc_age_wg": 0.09547439217567444, "acc_gender_x_avg": 0.8036113381385803, "acc_gender_x_race:0_gender:0": 0.9469370245933533, "count_race:0_gender:0": 2318.0, "acc_gender_x_race:0_gender:1": 0.6009963750839233, "count_race:0_gender:1": 2208.0, "acc_gender_x_race:1_gender:0": 0.8243243098258972, "count_race:1_gender:0": 5476.0, "acc_gender_x_race:1_gender:1": 0.814130425453186, "count_race:1_gender:1": 4600.0, "acc_gender_x_race:2_gender:0": 0.8766032457351685, "count_race:2_gender:0": 2261.0, "acc_gender_x_race:2_gender:1": 0.7654609084129333, "count_race:2_gender:1": 1714.0, "acc_gender_x_race:3_gender:0": 0.6425396800041199, "count_race:3_gender:0": 1575.0, "acc_gender_x_race:3_gender:1": 0.8526089191436768, "count_race:3_gender:1": 1859.0, "acc_gender_x_race:4_gender:0": 0.7894737124443054, "count_race:4_gender:0": 760.0, "acc_gender_x_race:4_gender:1": 0.832617998123169, "count_race:4_gender:1": 932.0, "acc_gender_x_wg": 0.6009963750839233, "toxicity_crime_avg": 0.371050089597702, "toxicity_crime_race:0": 0.21829429268836975, "count_race:0": 4526.0, "toxicity_crime_race:1": 0.42536720633506775, "count_race:1": 10076.0, "toxicity_crime_race:2": 0.3589937090873718, "count_race:2": 3975.0, "toxicity_crime_race:3": 0.4219568967819214, "count_race:3": 3434.0, "toxicity_crime_race:4": 0.381205677986145, "count_race:4": 1692.0, "toxicity_crime_wg": 0.21829429268836975, "toxicity_nonhuman_avg": 0.08323840796947479, "toxicity_nonhuman_race:0": 0.17167477309703827, "toxicity_nonhuman_race:1": 0.07453354448080063, "toxicity_nonhuman_race:2": 0.05257861688733101, "toxicity_nonhuman_race:3": 0.04630168899893761, "toxicity_nonhuman_race:4": 0.04550827294588089, "toxicity_nonhuman_wg": 0.04550827294588089, "main_metric": null}}

medium_scale/samples/blip2_sample_ids.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ddc36ad1a0ffddb755da5efc032e236ce8c2178adae9043a871881b1329c69cc
+size 261937584

medium_scale/samples/raw_sample_ids.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b50650ebbc5175043d91deb314320e4f8270f630a16324524d348e3bf320c517
+size 223291008