Updated readme

README.md

@@ -21,10 +21,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 109.776564
+         value: 36.951816
 ---
 
-# Wav2Vec2-Large-XLSR-53-Luganda
+# Wav2Vec2-Large-XLSR-53-Estonian
 
 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) in Luganda using the [Common Voice](https://huggingface.co/datasets/common_voice)
 When using this model, make sure that your speech input is sampled at 16kHz.
@@ -116,7 +116,7 @@ print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"],
 ```
 
 **Test Result**:
-WER: 109.776564
+WER: 36.951816
 
 ## Training