File size: 87,360 Bytes
bd60a40 15642e9 940d755 063108b 940d755 81006a7 940d755 bd60a40 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 |
{"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/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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
{"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}}
|