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@ -36,6 +36,7 @@ First, we learned features using SimCLR on the ```STL10 unsupervised``` set. The
Check the [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://github.com/sthalles/SimCLR/blob/simclr-refactor/feature_eval/mini_batch_logistic_regression_evaluator.ipynb) notebook for reproducibility.
Note that SimCLR benefits from **longer training**.
| Linear Classification | Dataset | Feature Extractor | Architecture | Feature dimensionality | Projection Head dimensionality | Epochs | Top1 % |
|----------------------------|---------|-------------------|---------------------------------------------------------------------------------|------------------------|--------------------------------|--------|--------|