15 Commits (b87d98b2384aa3e6e522f04a052e94bb23322c13)

Author	SHA1	Message	Date
Ross Wightman	c16d65a8a7	Update results.csv files with cait, mlp-mixer, resnetrs, miil imagenet21k pretrained, and my latest efficientnet v2s/b4 weights.	4 years ago
Ross Wightman	af647c10b3	Update results csv, includes latest transformer models, swin, pit, tnt... run on pytorch 1.8.1 cuda 10.2 (11.x rel crashes).	4 years ago
Ross Wightman	95feb1da41	Update results csvs, run with PyTorch 1.7.1 cuda 10.2, some differences from prev run with older PT ver.	4 years ago
Ross Wightman	a7d0a8b5b2	Update results csv files with latest models, incl 101D, 152D, 200D, SE152D ResNets and yet to be merged BiT and ViT-R50 models.	4 years ago
Ross Wightman	da1b90e5c9	Update results csvs with latest run	4 years ago
Ross Wightman	b496b7bde9	Re-ran batch validation on all models across all sets	4 years ago
KushajveerSingh	5699e8429f	set precision=2 in param_count	4 years ago
KushajveerSingh	6526ccb4a7	set precision=3 in results	4 years ago
KushajveerSingh	856f6181f7	add {rank,top1,top5}_diff in results	4 years ago
Ross Wightman	b41b8d0108	Update results csv files	5 years ago
Ross Wightman	31f4c126ec	Add EfficientNet pruned models to results files	5 years ago
Ross Wightman	779cb0fcc0	Update results with new models	5 years ago
Ross Wightman	91e2b33d72	Update results with latest NoisyStudent models and SelectiveKernel models	5 years ago
Ross Wightman	7c88356682	Add update results on ImageNet validation, ImageNetV2, ImageNet-A, and ImageNet-Sketch for all models	5 years ago
Ross Wightman	82dd60b33c	Rename results files for more clarity	5 years ago