udpated the model

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 19.34
+         value: 17.61
 ---
 
 # Wav2Vec2-Large-XLSR-Javanese
@@ -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**: 25.86 %
+**Test Result**: 17.61 %
 
 ## Training
 

config.json

@@ -62,7 +62,7 @@
   "mask_time_length": 10,
   "mask_time_min_space": 1,
   "mask_time_other": 0.0,
-  "mask_time_prob": 0.05,
+  "mask_time_prob": 0.3,
   "mask_time_selection": "static",
   "model_type": "wav2vec2",
   "num_attention_heads": 16,

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:67e7858b1a14184f7ae60712234e36f50235e0638c1dfc8983e918a6e1c1ba66
+oid sha256:2eea8dee41589cf65bb10f8e391552423d0fddca46e55202e7316dabb3943316
 size 1262052759

vocab.json

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