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Fix benchmarks table
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philippmwirth committed Sep 19, 2023
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Expand Up @@ -41,6 +41,7 @@ See the `benchmarking scripts <https://github.com/lightly-ai/lightly/tree/master
"SimCLR* + DCLW", "Res50", "256", "100", "64.5", "86.0", "73.2", "91.5", "48.5", "76.8", "`link <https://tensorboard.dev/experiment/TrALnpwFQ4OkZV3uvaX7wQ>`_", "`link <https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_dclw_2023-07-07_14-57-13/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt>`_"
"SwAV", "Res50", "256", "100", "67.2", "88.1", "75.4", "92.7", "49.5", "78.6", "`link <https://tensorboard.dev/experiment/Ipx4Oxl5Qkqm5Sl5kWyKKg>`_", "`link <https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_swav_2023-05-25_08-29-14/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt>`_"
"VICReg", "Res50", "256", "100", "63.0", "85.4", "73.7", "91.9", "46.3", "75.2", "`link <https://tensorboard.dev/experiment/qH5uywJbTJSzgCEfxc7yUw>`_", "`link <https://lightly-ssl-checkpoints.s3.amazonaws.com/imagenet_resnet50_vicreg_2023-09-11_10-53-08/pretrain/version_0/checkpoints/epoch%3D99-step%3D500400.ckpt>`_"`

*\*We use square root learning rate scaling instead of linear scaling as it yields better results for smaller batch sizes. See Appendix B.1 in SimCLR paper.*


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