Update VRAM

README.md

@@ -31,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Large V2 zh-HK - Alvin
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset. This is trained with PEFT LoRA+BNB INT8.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset. This is trained with PEFT LoRA+BNB INT8 with a Normalized CER of 7.77%
 
-To use the model, use the following code. It should be able to inference with less than 16GB VRAM.
+To use the model, use the following code. It should be able to inference with less than 4GB VRAM (batch size of 1).
 ```
 from peft import PeftModel, PeftConfig
 from transformers import WhisperForConditionalGeneration, Seq2SeqTrainer, WhisperTokenizer, WhisperProcessor