Update README.md

README.md

@@ -6,6 +6,8 @@ datasets:
 - STL-10
 license: apache-2.0
 ---
+# Semi-supervised image classification using contrastive pretraining with SimCLR
+
 ## Description
 
 This is a simple image classification model trained with **Semi-supervised image classification using contrastive pretraining with SimCLR**
@@ -13,6 +15,8 @@ The training procedure was done as seen in the example on <a href='https://keras
 
 The model was **trained on STL-10**, which includes ten classes: airplane, bird, car, cat, deer, dog, horse, monkey, ship, truck.
 
+##Metrics
+There is a public W&B dashboard available <a href='https://wandb.ai/johko-cel/semi-supervised-contrastive-learning-simclr'>here</a> which illustrates the difference in different metrics such as accuracy of a baseline supervised trained model, a purely unsupervised model (pretrain) and the supervised finetuned model based on the unsupervised.
 
 ## Background
 (by András Béres on <a href='https://keras.io/examples/vision/semisupervised_simclr/' target='_blank'>**keras.io**</a> )