Update README.md

README.md

@@ -15,9 +15,8 @@ Lil-Bevo is UT Austin's submission to the BabyLM challenge, specifically the *st
 ## TLDR:
 - Unigram tokenizer trained on 10M BabyLM tokens plus MAESTRO dataset for a vocab size of 16k.
 - `deberta-small-v3` trained on mixture of MAESTRO and 10M tokens for 5 epochs.
-- Model continues training for 50 epochs on 10M tokens with 128 sequence length.
-- Model continues training for 2 epochs on 10M tokens with 512 sequence length.
-- Model is trained with targeted linguistic masking for 10 epochs.
+- Model continues training for 50 epochs on 10M tokens with sequence length of 128.
+- Model is trained for 2 epochs with targeted linguistic masking with sequence length of 512.
 
 
   This README will be updated with more details soon.