Releases: wgcban/mix-bt
Releases · wgcban/mix-bt
v1.0.0
Initial release of pre-trained models of Mixed Barlow Twins.
ResNet-18 [CIFAR-10
, CIFAR-100
, TinyImageNet
, and STL-10
]
Dataset | Download Link to Pretrained Model | KNN Acc. | Linear Acc. | |||
---|---|---|---|---|---|---|
CIFAR-10 |
1024 | 0.0078125 | 4.0 | 4wdhbpcf_0.0078125_1024_256_cifar10_model.pth | 90.52 | 92.58 |
CIFAR-100 |
1024 | 0.0078125 | 4.0 | 76kk7scz_0.0078125_1024_256_cifar100_model.pth | 61.25 | 69.31 |
TinyImageNet |
1024 | 0.0009765 | 4.0 | 02azq6fs_0.0009765_1024_256_tiny_imagenet_model.pth | 38.11 | 51.67 |
STL-10 |
1024 | 0.0078125 | 2.0 | i7det4xq_0.0078125_1024_256_stl10_model.pth | 88.94 | 91.02 |
ResNet-50 [CIFAR-10
, CIFAR-100
, TinyImageNet
, and STL-10
]
Dataset | Download Link to Pretrained Model | KNN Acc. | Linear Acc. | |||
---|---|---|---|---|---|---|
CIFAR-10 |
1024 | 0.0078125 | 4.0 | v3gwgusq_0.0078125_1024_256_cifar10_model.pth | 91.39 | 93.89 |
CIFAR-100 |
1024 | 0.0078125 | 4.0 | z6ngefw7_0.0078125_1024_256_cifar100_model.pth | 64.32 | 72.51 |
TinyImageNet |
1024 | 0.0009765 | 4.0 | kxlkigsv_0.0009765_1024_256_tiny_imagenet_model.pth | 42.21 | 51.84 |
STL-10 |
1024 | 0.0078125 | 2.0 | pbknx38b_0.0078125_1024_256_stl10_model.pth | 87.79 | 91.70 |
ResNet-50 on ImageNet
Setting: epochs = 300,
$d$ = 8192,$\lambda_{BT}$ = 0.0051
Download Link to Pretrained Model | Train Log | Download Link to Linear-Probed Model | Val. Log | Linear Acc. | |
---|---|---|---|---|---|
0.0 (BT) | 3on0l4wl_0.0000_8192_1024_imagenet_resnet50.pth | train_log | checkpoint_3tb4tcvp.pth | val_log | 71.3 |
0.0025 | l418b9zw_0.0025_8192_1024_imagenet_resnet50.pth | train_log | checkpoint_09g7ytcz.pth | val_log | 70.9 |
0.1 | 13awtq23_0.1000_8192_1024_imagenet_resnet50.pth | train_log | checkpoint_pgawzr4e.pth | val_log | 71.6 |
1.0 | 3fb1op86_1.0000_8192_1024_imagenet_resnet50.pth | train_log | checkpoint_wvi0hle8.pth | val_log | 72.2 |
2.0 | 5n9yqio0_1.0000_8192_1024_imagenet_resnet50.pth | train_log | checkpoint_p9aeo8ga.pth | val_log | 72.1 |
3.0 | q03u2xjz_3.0000_8192_1024_imagenet_resnet50.pth | train_log | checkpoint_00atvp6x.pth | val_log | 72.0 |
Download the pre-trained models and store them in the checkpoints/
folder.