Update README.md

README.md

@@ -13,10 +13,9 @@ Prompt format is standard chatml. Don't expect it to be good at math, riddles or
 Cost of this fine-tune is about $10 in electricity. It took me 3 tries to get it right.
 Base model used for fine-tuning was 200k context Yi-34B-Llama model shared by larryvrh.
 
-I had to change max_positional_embeddings in config.json and model_max_length to 4096 for training to start, otherwise I was OOMing straight away. 
+I had to lower max_positional_embeddings in config.json and model_max_length for training to start, otherwise I was OOMing straight away. 
 My first attempt had max_positional_embeddings set to 16384 and model_max_length set to 200000. This allowed fine-tuning to finish, but that model was broken after applying LoRA and merging it. \
-Please use my lesson and be careful when setting positional embeddings for training \
-<b>This model is my third attempt with AEZAKMI v2 dataset and it works perfectly fine.</b>
+This attempt had both max_position_embeddings and model_max_length set to 4096, which worked perfectly fine.
 
 ## Prompt Format