Update README.md

README.md

@@ -12,6 +12,8 @@ This repository contains all the models and datasets for train/evaluate the Japa
 Following table shows CER comparison with different data size of ReazonSpeech used to distill the whisper-large-v3. The model names follows
 `japanese-asr/distil-whisper-large-v3-ja-reazonspeech-{size of reazonspeech}`.
 
+- CER (Normalized)
+
 | model                                                                                                                                             |   common_voice_8_0 |   jsut_basic5000 |   reazonspeech_test |
 |:--------------------------------------------------------------------------------------------------------------------------------------------------|-------------------:|-----------------:|--------------------:|
 | [japanese-asr/distil-whisper-large-v3-ja-reazonspeech-large](https://huggingface.co/japanese-asr/distil-whisper-large-v3-ja-reazonspeech-large)   |               9.44 |             8.48 |               12.6  |
@@ -23,3 +25,7 @@ Following table shows CER comparison with different data size of ReazonSpeech us
 | [openai/whisper-medium](https://huggingface.co/openai/whisper-medium)                                                                             |              11.34 |             9.87 |               29.56 |
 | [openai/whisper-small](https://huggingface.co/openai/whisper-small)                                                                               |              15.26 |            14.22 |               34.29 |
 | [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny)                                                                                 |              46.86 |            35.69 |               96.69 |
+
+- CER (Raw)
+
+