Card: lead the resume note with --ignore-data-fingerprints

README.md

@@ -71,10 +71,9 @@ torchrun --standalone --nproc-per-node=1 olmo-core/src/scripts/train/ladder/coun
   --count-k 8 --count-max-order 6 --count-num-orders 6
 ```
 
-Evaluation loads model weights only. Resuming training also restores the optimizer and trainer state.
-The trainer state records a fingerprint of the data paths the model was trained on, and the code
-refuses to resume on data whose fingerprint differs; when your tokenized data is the same corpus at
-different paths, pass `--ignore-data-fingerprints`.
+Evaluation loads model weights only. To resume training on your own copy of the tokenized data,
+pass `--ignore-data-fingerprints`: the checkpoints record a fingerprint of the data paths they were
+trained on, and without the flag the code refuses to resume from different paths.
 
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