Update README.md

README.md

@@ -10,13 +10,10 @@ architecture based on Torchvision's Resnet152 default implementation
 
 hyperparameters:
 
-```
-- criterion = torch.nn.CrossEntropyLoss()
-- optimizer = torch.optim.AdamW
-- scaler = GradScaler
-- datasets = ["cifar10", "cirfar100"]
-
-- lr = 0.0001
-- num_epochs = 16 (higher would be even better, but maybe by <1%)
-- crossmax_k = 2 (difference between crossmax_k=2 and crossmax_k=3 is about 1-2%, so it's not a big deal)
-```
+- criterion: `torch.nn.CrossEntropyLoss()`
+- optimizer: `torch.optim.AdamW`
+- scaler: `GradScaler`
+- datasets: `["cifar10", "cirfar100"]`
+- lr: `0.0001`
+- num_epochs: `16` (higher would be even better, but maybe by <1%)
+- crossmax_k: `2` (difference between `crossmax_k=2` and `crossmax_k=3` is about 1-2%, so it's not a big deal)