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README.md

@@ -11,6 +11,12 @@ datasets:
 - doe2vec-d2-m8-ls24-VAE-kl0.001
 metrics:
 - mse
+co2_eq_emissions:
+  emissions: 0.0363
+  source: "code carbon"
+  training_type: "pre-training"
+  geographical_location: "Leiden, The Netherlands"
+  hardware_used: "1 Tesla T4"
 ---
 
 ## Model description
@@ -52,9 +58,3 @@ The representations can then be used for downstream tasks such as automatic opti
 The model is trained using a weighed KL loss and mean squared error reconstruction loss.
 The model is trained using 250.000 randomly generated functions (see the dataset) over 100 epochs.
 
-co2_eq_emissions:
-  emissions: 0.0363
-  source: "code carbon"
-  training_type: "pre-training"
-  geographical_location: "Leiden, The Netherlands"
-  hardware_used: "1 Tesla T4"