Update README.md

README.md

@@ -31,7 +31,7 @@ of course the output needs to be convert back to numbers...
 
 Since the model is finetuned, the model can be seen as a lottery prediction model but contains language meaning/distribution.
 
-Also, one thing to notice is that I believe that the lottery game might be exploitable when the game history now is relatively short, and if the history goes longer and loger such that every combination of sequences happens, then it's not suitable to train/finetune on all of the data, one might need to consider the data selection problem, maybe using just the recent data for training.
+Also, one thing to notice is that I believe that the lottery game might be exploitable when the game history now is relatively short, and if the history goes longer and loger such that every combination of sequences happens, then it's not suitable to train/finetune on all of the data, one might need to consider the data selection problem, maybe using just the recent data for training, or do some statistics and dynamically selects the data with importance.
 
 I didn't do any evaluation on the model, I just finetuned it, I didn't even notice the performance metrics (the loss ?).
 So I'm not quite sure about the performance on the history data, but I don't think it's that important because past performance doesn't mean future performance in this random problem.