diff --git a/README.md b/README.md
index f6c8898..0d5249a 100644
--- a/README.md
+++ b/README.md
@@ -62,7 +62,7 @@ To transcribe audio files the model can be used as a standalone acoustic model a
  transcription = tokenizer.batch_decode(predicted_ids)
  ```
  
- ## Evalution
+ ## Evaluation
  
  This code snippet shows how to evaluate **facebook/wav2vec2-base-960h** on LibriSpeech's "clean" and "other" test data.
  
@@ -103,4 +103,4 @@ print("WER:", wer(result["text"], result["transcription"]))
 
 | "clean" | "other" |
 |---|---|
-| 4.1 |   |
\ No newline at end of file
+| 4.1 | 10.0 |
\ No newline at end of file