Major refactor, small fixes

README.md

@@ -35,7 +35,7 @@ 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.
 
 
-| Linear Classification      | Dataset | Feature Extractor | Architecture                                                                    | Feature dimensionality | Projection Head dimensionality | Epochs | Top 1% |
+| Linear Classification      | Dataset | Feature Extractor | Architecture                                                                    | Feature dimensionality | Projection Head dimensionality | Epochs | Top1 % |
 |----------------------------|---------|-------------------|---------------------------------------------------------------------------------|------------------------|--------------------------------|--------|--------|
 | Logistic Regression (Adam) | STL10   | SimCLR            | [ResNet-18](https://drive.google.com/open?id=14_nH2FkyKbt61cieQDiSbBVNP8-gtwgF) | 512                    | 128                            | 100    | 70.45  |
 | Logistic Regression (Adam) | CIFAR10 | SimCLR            | [ResNet-18](https://drive.google.com/open?id=1lc2aoVtrAetGn0PnTkOyFzPCIucOJq7C) | 512                    | 128                            | 100    | 64.82  |