Update README.md

README.md

@@ -64,12 +64,14 @@ It achieves the following results:
 - WER on Common Voice 13 test set: 19.21
 
 ## Evaluation
-|                             Checkpoint Name                              | WER on ShEMO dev set | WER on Common Voice 13 test set | Average |
+|                             Checkpoint Name                              | WER on ShEMO dev set | WER on Common Voice 13 test set | Max :) |
 | :---------------------------------------------------------------------------------------------------------------: | :------:  | :-------: | :---:     |
-| [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3)       | 46.55     | **17.43** | 31.99     |
-| [m3hrdadfi/wav2vec2-large-xlsr-persian-shemo](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-shemo) | **7.42**  | 33.88     | **20.65** |
-| [masoudmzb/wav2vec2-xlsr-multilingual-53-fa](https://huggingface.co/masoudmzb/wav2vec2-xlsr-multilingual-53-fa)   | 56.54     | 24.68     | 40.61     |
-| This checkpoint | 32.85 | 19.21 | 25.89 |
+| [m3hrdadfi/wav2vec2-large-xlsr-persian-v3](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-v3)       | 46.55     | **17.43** | 46.55     |
+| [m3hrdadfi/wav2vec2-large-xlsr-persian-shemo](https://huggingface.co/m3hrdadfi/wav2vec2-large-xlsr-persian-shemo) | **7.42**  | 33.88     | 33.88     |
+| [masoudmzb/wav2vec2-xlsr-multilingual-53-fa](https://huggingface.co/masoudmzb/wav2vec2-xlsr-multilingual-53-fa)   | 56.54     | 24.68     | 56.54     |
+| This checkpoint                                                                                                   | 32.85     | 19.21     | **32.85** |
+
+As you can see, my model performs better in maximum case :D
 
 ## Training procedure