Upload artifacts (scale 128M)

scale_128M_checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:64f24b587763f3fb8801bb81222a44d5dfeb0aa4897f2f4af31008771f0fe5fc
+size 1815639225

scale_128M_results.jsonl

@@ -0,0 +1,36 @@
+{"key": "vtab/caltech101", "dataset": "Caltech-101", "metrics": {"acc1": 0.6580115036976171, "acc5": 0.8594905505341003, "mean_per_class_recall": 0.556333010875863}}
+{"key": "cifar10", "dataset": "CIFAR-10", "metrics": {"acc1": 0.7602, "acc5": 0.9919, "mean_per_class_recall": 0.7602}}
+{"key": "vtab/cifar100", "dataset": "CIFAR-100", "metrics": {"acc1": 0.4409, "acc5": 0.7579, "mean_per_class_recall": 0.44089999999999996}}
+{"key": "vtab/clevr_count_all", "dataset": "CLEVR Counts", "metrics": {"acc1": 0.12906666666666666, "acc5": 0.6059333333333333, "mean_per_class_recall": 0.12839939558046337}}
+{"key": "vtab/clevr_closest_object_distance", "dataset": "CLEVR Distance", "metrics": {"acc1": 0.2452, "acc5": 0.9186666666666666, "mean_per_class_recall": 0.167032408371139}}
+{"key": "country211", "dataset": "Country211", "metrics": {"acc1": 0.03611374407582938, "acc5": 0.1267298578199052, "mean_per_class_recall": 0.03611374407582939}}
+{"key": "vtab/dtd", "dataset": "Describable Textures", "metrics": {"acc1": 0.1595744680851064, "acc5": 0.35425531914893615, "mean_per_class_recall": 0.1595744680851064}}
+{"key": "vtab/dmlab", "dataset": "DMlab Frames", "metrics": {"acc1": 0.16850670771937543, "acc5": 0.821684627226743, "mean_per_class_recall": 0.1441305184206386}}
+{"key": "vtab/dsprites_label_orientation", "dataset": "dSprites Orientation", "metrics": {"acc1": 0.022433810763888888, "acc5": 0.12742784288194445, "mean_per_class_recall": 0.022849558675508693}}
+{"key": "vtab/dsprites_label_x_position", "dataset": "dSprites X Position", "metrics": {"acc1": 0.03219943576388889, "acc5": 0.1588406032986111, "mean_per_class_recall": 0.03263355141967859}}
+{"key": "vtab/dsprites_label_y_position", "dataset": "dSprites Y Position", "metrics": {"acc1": 0.031670464409722224, "acc5": 0.1552734375, "mean_per_class_recall": 0.03125063753613674}}
+{"key": "vtab/eurosat", "dataset": "EuroSAT", "metrics": {"acc1": 0.29185185185185186, "acc5": 0.8392592592592593, "mean_per_class_recall": 0.2842205887232649}}
+{"key": "fgvc_aircraft", "dataset": "FGVC Aircraft", "metrics": {"acc1": 0.0087008700870087, "acc5": 0.0465046504650465, "mean_per_class_recall": 0.00875222816399287}}
+{"key": "food101", "dataset": "Food-101", "metrics": {"acc1": 0.24447524752475247, "acc5": 0.5303762376237624, "mean_per_class_recall": 0.24447524752475244}}
+{"key": "gtsrb", "dataset": "GTSRB", "metrics": {"acc1": 0.08733174980205859, "acc5": 0.30150435471100556, "mean_per_class_recall": 0.11167478130041326}}
+{"key": "imagenet1k", "dataset": "ImageNet 1k", "metrics": {"acc1": 0.17938, "acc5": 0.38556, "mean_per_class_recall": 0.17940000000000003}}
+{"key": "imagenet_sketch", "dataset": "ImageNet Sketch", "metrics": {"acc1": 0.09723122875277565, "acc5": 0.23140560828469806, "mean_per_class_recall": 0.09728745098039215}}
+{"key": "imagenetv2", "dataset": "ImageNet v2", "metrics": {"acc1": 0.1526, "acc5": 0.3419, "mean_per_class_recall": 0.15280000000000002}}
+{"key": "imagenet-a", "dataset": "ImageNet-A", "metrics": {"acc1": 0.036, "acc5": 0.1436, "mean_per_class_recall": 0.04718690664007577}}
+{"key": "imagenet-o", "dataset": "ImageNet-O", "metrics": {"acc1": 0.2945, "acc5": 0.5915, "mean_per_class_recall": 0.2979009061543891}}
+{"key": "imagenet-r", "dataset": "ImageNet-R", "metrics": {"acc1": 0.20133333333333334, "acc5": 0.4212, "mean_per_class_recall": 0.1867171223166286}}
+{"key": "vtab/kitti_closest_vehicle_distance", "dataset": "KITTI Vehicle Distance", "metrics": {"acc1": 0.28270042194092826, "acc5": "N/A", "mean_per_class_recall": 0.22706951067800127}}
+{"key": "mnist", "dataset": "MNIST", "metrics": {"acc1": 0.092, "acc5": 0.5282, "mean_per_class_recall": 0.08603147219033679}}
+{"key": "objectnet", "dataset": "ObjectNet", "metrics": {"acc1": 0.1591471950037687, "acc5": 0.3618498977064714, "mean_per_class_recall": 0.15618966163769676}}
+{"key": "vtab/flowers", "dataset": "Oxford Flowers-102", "metrics": {"acc1": 0.10326882419905675, "acc5": 0.28622540250447226, "mean_per_class_recall": 0.1259605616060455}}
+{"key": "vtab/pets", "dataset": "Oxford-IIIT Pet", "metrics": {"acc1": 0.16871082038702645, "acc5": 0.4352684655219406, "mean_per_class_recall": 0.1675939445554378}}
+{"key": "voc2007", "dataset": "Pascal VOC 2007", "metrics": {"acc1": 0.5939503205128205, "acc5": 0.8826789529914529, "mean_per_class_recall": 0.6089547565360213}}
+{"key": "vtab/pcam", "dataset": "PatchCamelyon", "metrics": {"acc1": 0.5128173828125, "acc5": "N/A", "mean_per_class_recall": 0.5130227027018086}}
+{"key": "renderedsst2", "dataset": "Rendered SST2", "metrics": {"acc1": 0.5019220208676551, "acc5": "N/A", "mean_per_class_recall": 0.501130869665914}}
+{"key": "vtab/resisc45", "dataset": "RESISC45", "metrics": {"acc1": 0.16666666666666666, "acc5": 0.4363492063492064, "mean_per_class_recall": 0.16930478851741526}}
+{"key": "vtab/smallnorb_label_azimuth", "dataset": "Small NORB Azimuth", "metrics": {"acc1": 0.059588477366255145, "acc5": 0.2739917695473251, "mean_per_class_recall": 0.059306194528323836}}
+{"key": "vtab/smallnorb_label_elevation", "dataset": "Small NORB Elevation", "metrics": {"acc1": 0.11728395061728394, "acc5": 0.557037037037037, "mean_per_class_recall": 0.11794546742039562}}
+{"key": "cars", "dataset": "Stanford Cars", "metrics": {"acc1": 0.12050739957716702, "acc5": 0.40206441984827757, "mean_per_class_recall": 0.11934557173276072}}
+{"key": "stl10", "dataset": "STL-10", "metrics": {"acc1": 0.7775, "acc5": 0.989875, "mean_per_class_recall": 0.7775000000000001}}
+{"key": "sun397", "dataset": "SUN397", "metrics": {"acc1": 0.3133953693657245, "acc5": 0.6095132133070967, "mean_per_class_recall": 0.2548748140260653}}
+{"key": "vtab/svhn", "dataset": "SVHN", "metrics": {"acc1": 0.11094038106945298, "acc5": 0.4688076213890596, "mean_per_class_recall": 0.11429859863624432}}

scale_128M_sample_ids.npy

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c24e7f11745192e0b2c358270d8fc8b3f9e4343dc7eb4c8ca02a71b67c43823e
+size 1790574848