Card: history note states facts only

README.md

@@ -47,7 +47,7 @@ checkpoint, on two machines, with identical bytes.
 Measured values only (no fits, no trend lines): one checkpoint every 150 steps of both runs, same instrument.
 Data: [`analysis/scores-history.csv`](analysis/scores-history.csv) (step, tokens, checkpoint sha256, scores, and which
 of three GPUs computed the row; each GPU was checked against a known point before use). 1.00 at 1.26 B and 1.42 B tokens
-is already in its learning-rate decay, 1.01 at the same token counts is not, which is why 1.00 is ahead there.
+is already in its learning-rate decay; 1.01 at the same token counts is not.
 
 ## Training loss vs. windows fixed before the run