Update README.md

README.md

@@ -60,6 +60,7 @@ Experiments on general-domain data suggest that, given it's specialised training
 - linear learning rate schedule with 10,770 warmup steps
 - effective batch size 1500 (15 sequences per batch x 100 gradient accumulation steps)
 - MLM masking probability 0.15
+
 **Training regime:** The model was trained with fp16 non-mixed precision, using the AdamW optimizer with default parameters.