more results

README.md

@@ -184,7 +184,7 @@ All pretrained models avaiable can be downloaded directly via the tables below o
 |DeepCluster V2| ResNet18 |  1000  |  :x: |      88.85     |     99.58      | [:link:](https://drive.google.com/drive/folders/1tkEbiDQ38vZaQUsT6_vEpxbDxSUAGwF-?usp=sharing) |
 | DINO         | ResNet18 |  1000  |  :x: |      89.52     |     99.71      | [:link:](https://drive.google.com/drive/folders/1vyqZKUyP8sQyEyf2cqonxlGMbQC-D1Gi?usp=sharing) |
 | MoCo V2+     | ResNet18 |  1000  |  :x: |      92.94     |     99.79      | [:link:](https://drive.google.com/drive/folders/1ruNFEB3F-Otxv2Y0p62wrjA4v5Fr2cKC?usp=sharing) |
-| MoCo V3      | ResNet18 |  1000  |  :x: |      TODO      |     TODO       | [:link:]() |
+| MoCo V3      | ResNet18 |  1000  |  :x: |      93.10     |     99.80      | [:link:](https://drive.google.com/drive/folders/1KwZTshNEpmqnYJcmyYPvfIJ_DNwqtAVj?usp=sharing) |
 | NNCLR        | ResNet18 |  1000  |  :x: |      91.88     |     99.78      | [:link:](https://drive.google.com/drive/folders/1xdCzhvRehPmxinphuiZqFlfBwfwWDcLh?usp=sharing) |
 | ReSSL        | ResNet18 |  1000  |  :x: |      90.63     |     99.62      | [:link:](https://drive.google.com/drive/folders/1jrFcztY2eO_fG98xPshqOD15pDIhLXp-?usp=sharing) |
 | SimCLR       | ResNet18 |  1000  |  :x: |      90.74     |     99.75      | [:link:](https://drive.google.com/drive/folders/1mcvWr8P2WNJZ7TVpdLHA_Q91q4VK3y8O?usp=sharing) |
@@ -205,7 +205,7 @@ All pretrained models avaiable can be downloaded directly via the tables below o
 |DeepCluster V2| ResNet18 |  1000  |  :x: |      63.61     |     88.09      | [:link:](https://drive.google.com/drive/folders/1gAKyMz41mvGh1BBOYdc_xu6JPSkKlWqK?usp=sharing) |
 | DINO         | ResNet18 |  1000  |  :x: |      66.76     |     90.34      | [:link:](https://drive.google.com/drive/folders/1TxeZi2YLprDDtbt_y5m29t4euroWr1Fy?usp=sharing) |
 | MoCo V2+     | ResNet18 |  1000  |  :x: |      69.89     |     91.65      | [:link:](https://drive.google.com/drive/folders/15oWNM16vO6YVYmk_yOmw2XUrFivRXam4?usp=sharing) |
-| MoCo V3      | ResNet18 |  1000  |  :x: |      TODO      |     TODO       | [:link:]() |
+| MoCo V3      | ResNet18 |  1000  |  :x: |      68.83     |     90.57      | [:link:](https://drive.google.com/drive/folders/1Hcf9kMIADKydfxvXLquY9nv7sfNaJ3v6?usp=sharing) |
 | NNCLR        | ResNet18 |  1000  |  :x: |      69.62     |     91.52      | [:link:](https://drive.google.com/drive/folders/1Dz72o0-5hugYPW1kCCQDBb0Xi3kzMLzu?usp=sharing) |
 | ReSSL        | ResNet18 |  1000  |  :x: |      65.92     |     89.73      | [:link:](https://drive.google.com/drive/folders/1aVZs9cHAu6Ccz8ILyWkp6NhTsJGBGfjr?usp=sharing) |
 | SimCLR       | ResNet18 |  1000  |  :x: |      65.78     |     89.04      | [:link:](https://drive.google.com/drive/folders/13pGPcOO9Y3rBoeRVWARgbMFEp8OXxZa0?usp=sharing) |

bash_files/pretrain/cifar/mocov3.sh

@@ -5,8 +5,6 @@ python3 main_pretrain.py \
     --max_epochs 1000 \
     --devices 0 \
     --accelerator gpu \
-    --strategy ddp \
-    --sync_batchnorm \
     --precision 16 \
     --optimizer lars \
     --eta_lars 0.02 \

zoo/cifar10.sh

@@ -38,6 +38,13 @@ gdown https://drive.google.com/uc?id=1viIUTHmLdozDWtzMicV4oOyC50iL2QDU
 gdown https://drive.google.com/uc?id=1ZLpgK13N8rgBxvqRbyGFd_8mF03pStIx
 cd ..
 
+# MoCo V3
+mkdir mocov3
+cd mocov3
+gdown https://drive.google.com/file/d/1EFHWBLYFsglZYPYsBc0YrtihrzBZRe7h/view?usp=sharing
+gdown https://drive.google.com/file/d/1Gb6TCWoY2aN8AK3UnuZu4IxIktqbDybP/view?usp=sharing
+cd ..
+
 # NNCLR
 mkdir nnclr
 cd nnclr

zoo/cifar100.sh

@@ -38,6 +38,13 @@ gdown https://drive.google.com/uc?id=1KNkCA2Hr70QsmOSif9_UUndFerOb7Jft
 gdown https://drive.google.com/uc?id=1T_SpFAEhZap2fvKnUvk8hzL-C7Nzad93
 cd ..
 
+# MoCo V3
+mkdir mocov3
+cd mocov3
+gdown https://drive.google.com/file/d/1QAuKJmegGCJrntAL80tfTrbi2fI4sPl-/view?usp=sharing
+gdown https://drive.google.com/file/d/1jtJEi66g5z7dBn0FDcSL7zoU4ArEEyqU/view?usp=sharing
+cd ..
+
 # NNCLR
 mkdir nnclr
 cd nnclr