Update README.md

README.md

@@ -184,7 +184,9 @@ bert-chunker-3 (prob_threshold=0.50543) | N/A | 0 | 90.4 ± 28.7 | 3.3 ± 3.1 |
 ## Future
 This model is undertrained due to lack of money and laziness. I observed it is still undertrained for two reasons:
 - I trained it on 110 K window data for 2~3 epoch and the eval loss kept decreasing.
-- The outputs from two non-overlapping windows show poor comparability in split point probabilities, which will undermines the performance when max_tokens_per_chunk is large. I think more data will amplify probability difference and enhance their comparability. This was corroborated by some of my experiments. So next version will probably just be more data.
+- The outputs from two non-overlapping windows show poor comparability in split point probabilities, which will undermines the performance when max_tokens_per_chunk is large. I think more data will amplify probability difference and enhance their comparability. This was corroborated by some of my experiments.
+
+So next version will probably just be more data.
 ## Citation
 ```bibtex
 @article{bert-chunker,