updated the model

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 7.82
+         value: 6.19
 ---
 
 # Wav2Vec2-Large-XLSR-Sundanese
@@ -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**: 7.82 %
+**Test Result**: 6.19 %
 
 ## 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:b509410045ee96b7988e2b4684203f1bc4218c3027795d24f777ee4cbf41ed00
-size 1262052760
+oid sha256:bad260a57e77f1ac72e0a2fd0d030b9ae5c1084773bcb454f6070f1038bf3329
+size 1262052759

vocab.json

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