Update README.md

README.md

@@ -25,13 +25,13 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 13.386893
+         value: 10.994764
        - name: Test CER
          type: cer
-         value: 4.795275
+         value: 3.946846
 ---
 # Wav2vec 2.0 large-voxpopuli-sv-swedish
-Additionally pretrined and finetuned version of Facebooks [VoxPopuli-sv large](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) model using Swedish radio broadasts, NST and Common Voice data. Evalutation without a language model gives the following: WER for NST + Common Voice test set (2% of total sentences) is **3.95%**, WER for Common Voice test set is **10.99%** directly and **7.82%** with a 4-gram language model.
+Additionally pretrined and finetuned version of Facebooks [VoxPopuli-sv large](https://huggingface.co/facebook/wav2vec2-large-sv-voxpopuli) model using Swedish radio broadasts, NST and Common Voice data. Evalutation without a language model gives the following: WER for NST + Common Voice test set (2% of total sentences) is **3.95%**. WER for Common Voice test set is **10.99%** directly and **7.82%** with a 4-gram language model.
 
 When using this model, make sure that your speech input is sampled at 16kHz.