Update README.md

README.md

@@ -14,9 +14,9 @@ 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 3 epochs.
+- `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 200 epochs on 10M tokens with 512 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.