Update README.md

README.md

@@ -6,7 +6,7 @@ metrics:
 - wer
 - cer
 model-index:
-- name: hubert-large-japanese-asr
+- name: hubert-base-japanese-asr
   results:
   - task:
       name: Speech Recognition
@@ -65,10 +65,12 @@ The training hyperparameters remained consistent throughout the fine-tuning proc
 - total_train_batch_size: 30
 - lr_scheduler_type: linear
 
-### Test Results
-
-The final evaluation of the model on the common_voice_11_0 dataset showed a Word Error Rate (WER) of 27.511982% and a Character Error Rate (CER) of 11.699897%.
+### Test results
+The final model was evaluated as follows:
 
+On common_voice_11_0:
+- WER: 27.511982%
+- CER: 11.699897%
 ### Framework versions
 
 - Transformers 4.39.1