updated the model

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 18.32
+         value: 17.84
 ---
 
 # Wav2Vec2-Large-XLSR-Indonesian
@@ -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**: 18.32 %
+**Test Result**: 17.84 %
 
 ## Training
 

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9536cc48af00be4df5d8f14b1b726343606518bee671e36434904f1062286392
+oid sha256:9cdef175f42faa1fb540d457cf11259bbf0c529ebf6f4ebb5e84c0ad3e25bf48
 size 1262060951

vocab.json

@@ -1 +1 @@
-{"l": 0, "p": 1, "！": 2, "n": 3, "x": 4, "j": 5, "z": 6, "g": 7, "k": 9, "d": 10, "r": 11, "i": 12, "y": 13, "u": 14, "a": 15, "e": 16, "，": 17, "f": 18, "b": 19, "m": 20, "h": 21, "t": 22, "s": 23, "c": 24, "v": 25, "w": 26, "é": 27, "o": 28, "|": 8, "[UNK]": 29, "[PAD]": 30}
+{"n": 0, "l": 1, "u": 2, "j": 3, "d": 4, "s": 5, "r": 6, "x": 7, "m": 8, "é": 9, "k": 10, "！": 11, "t": 12, "a": 13, "y": 15, "v": 16, "h": 17, "o": 18, "b": 19, "c": 20, "w": 21, "p": 22, "e": 23, "，": 24, "f": 25, "g": 26, "i": 27, "z": 28, "|": 14, "[UNK]": 29, "[PAD]": 30}