updated the model

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 14.68
+         value: 12.44
 ---
 
 # Wav2Vec2-Large-XLSR-Basque
@@ -117,7 +117,7 @@ result = test_dataset.map(evaluate, batched=True, batch_size=8)
 print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
 ```
 
-**Test Result**: 14.68 %
+**Test Result**: 12.44 %
 
 ## Training
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2e0e448f2fea8a4379b4ed27cd56e5ff77b1bd281db12b5a7bccd0d80f415fec
+oid sha256:c3cb9f5222d18d75ba17812a2016dba85c6e6fc226c06cc8cb2ef5a03f42ffff
 size 1262060951