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 # Self-supervised ResNet-50 model with SimPool
 
-ViT-S model with SimPool (no gamma) trained on ImageNet-1k for 100 epochs. Self-supervision with [DINO](https://arxiv.org/abs/2104.14294).
+ResNet-50 model with SimPool (no gamma) trained on ImageNet-1k for 100 epochs. Self-supervision with [DINO](https://arxiv.org/abs/2104.14294).
 
 SimPool is a simple attention-based pooling method at the end of network, introduced on this ICCV 2023 [paper](https://arxiv.org/pdf/2309.06891.pdf) and released in this [repository](https://github.com/billpsomas/simpool/).
 Disclaimer: This model card is written by the author of SimPool, i.e. [Bill Psomas](http://users.ntua.gr/psomasbill/).