Upload track_0_results.jsonl with huggingface_hub

track_0_results.jsonl

@@ -434,3 +434,39 @@
 {"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.10725, "acc5": 0.514375, "mean_per_class_recall": 0.10725}}
 {"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.0018757930742777278, "acc5": 0.009452525884105412, "mean_per_class_recall": 0.0026033992727889817}}
 {"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.09250153657037492, "acc5": 0.5820528580208973, "mean_per_class_recall": 0.10032880844117324}}
+{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.0031224322103533277, "acc5": 0.024322103533278554, "mean_per_class_recall": 0.013409653173832503}}
+{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.0967, "acc5": 0.4707, "mean_per_class_recall": 0.0967}}
+{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.0131, "acc5": 0.0561, "mean_per_class_recall": 0.0131}}
+{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.0976, "acc5": 0.641, "mean_per_class_recall": 0.09815130928989746}}
+{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.2398, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.180646428963025}}
+{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.0051184834123222745, "acc5": 0.022606635071090047, "mean_per_class_recall": 0.005118483412322275}}
+{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.01276595744680851, "acc5": 0.11170212765957446, "mean_per_class_recall": 0.012765957446808512}}
+{"key": "vtab/dmlab", "dataset": "DMlab Frames", "metrics": {"acc1": 0.16155707059599736, "acc5": 0.8585880800527821, "mean_per_class_recall": 0.171404743692575}}
+{"key": "vtab/dsprites_label_orientation", "dataset": "dSprites Orientation", "metrics": {"acc1": 0.025566948784722224, "acc5": 0.12626139322916666, "mean_per_class_recall": 0.025}}
+{"key": "vtab/dsprites_label_x_position", "dataset": "dSprites X Position", "metrics": {"acc1": 0.031087239583333332, "acc5": 0.15489366319444445, "mean_per_class_recall": 0.03125}}
+{"key": "vtab/dsprites_label_y_position", "dataset": "dSprites Y Position", "metrics": {"acc1": 0.033379448784722224, "acc5": 0.1563178168402778, "mean_per_class_recall": 0.03300332636437787}}
+{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.1087037037037037, "acc5": 0.5618518518518518, "mean_per_class_recall": 0.11457839022216158}}
+{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.005700570057005701, "acc5": 0.0462046204620462, "mean_per_class_recall": 0.0057219251336898405}}
+{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.009425742574257425, "acc5": 0.053267326732673266, "mean_per_class_recall": 0.009425742574257427}}
+{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.005067300079176564, "acc5": 0.034045922406967535, "mean_per_class_recall": 0.016537467700258397}}
+{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.00092, "acc5": 0.00498, "mean_per_class_recall": 0.00092}}
+{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.0012969403996934505, "acc5": 0.004558942011043644, "mean_per_class_recall": 0.0012941176470588236}}
+{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.0013, "acc5": 0.0049, "mean_per_class_recall": 0.0013}}
+{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.0041333333333333335, "acc5": 0.025733333333333334, "mean_per_class_recall": 0.0038437592031399137}}
+{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.0045, "acc5": 0.026, "mean_per_class_recall": 0.004208333333333333}}
+{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.0051333333333333335, "acc5": 0.025333333333333333, "mean_per_class_recall": 0.0056758194288415486}}
+{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.3066104078762307, "acc5": NaN, "mean_per_class_recall": 0.21102473625251086}}
+{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.1017, "acc5": 0.4561, "mean_per_class_recall": 0.1007920792079208}}
+{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.008668030580381177, "acc5": 0.039409927856142994, "mean_per_class_recall": 0.00838518153398381}}
+{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.005854610505773296, "acc5": 0.03447715075622052, "mean_per_class_recall": 0.007435673203202382}}
+{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.0291632597437994, "acc5": 0.13109839193240666, "mean_per_class_recall": 0.029410741575690028}}
+{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.032518696581196584, "acc5": 0.24005074786324787, "mean_per_class_recall": 0.04480189115615936}}
+{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.4686279296875, "acc5": NaN, "mean_per_class_recall": 0.4684331154570827}}
+{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.49917627677100496, "acc5": NaN, "mean_per_class_recall": 0.5}}
+{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.011111111111111112, "acc5": 0.09507936507936508, "mean_per_class_recall": 0.010554943308601954}}
+{"key": "vtab/smallnorb_label_azimuth", "dataset": "Small NORB Azimuth", "metrics": {"acc1": 0.055308641975308645, "acc5": 0.2783539094650206, "mean_per_class_recall": 0.05562991896379334}}
+{"key": "vtab/smallnorb_label_elevation", "dataset": "Small NORB Elevation", "metrics": {"acc1": 0.11209876543209876, "acc5": 0.548724279835391, "mean_per_class_recall": 0.11265998206570475}}
+{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.003979604526800149, "acc5": 0.023007088670563364, "mean_per_class_recall": 0.00457510176897932}}
+{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.10725, "acc5": 0.514375, "mean_per_class_recall": 0.10725}}
+{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.0018757930742777278, "acc5": 0.009452525884105412, "mean_per_class_recall": 0.0026033992727889817}}
+{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.09250153657037492, "acc5": 0.5820528580208973, "mean_per_class_recall": 0.10032880844117324}}