updated the model and its readme file

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 17.84
+         value: 14.29
 ---
 
 # Wav2Vec2-Large-XLSR-Indonesian
@@ -117,10 +117,10 @@ 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**: 17.84 %
+**Test Result**: 14.29 %
 
 ## Training
 
-The Common Voice `train`, `validation`, and ... datasets were used for training as well as ... and ...  # TODO
+The Common Voice `train`, `validation`, and [synthetic voice datasets](https://cloud.uncool.ai/index.php/s/P5YiJ42GfxTQcm7) were used for training.
 
 The script used for training can be found [here](https://github.com/indonesian-nlp/wav2vec2-indonesian) 

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
+  "_name_or_path": "/root/Work/indonesian-speech-recognition/wav2vec2-large-xlsr-indonesian-artificial/epoch-30",
   "activation_dropout": 0.055,
   "apply_spec_augment": true,
   "architectures": [
@@ -70,7 +70,7 @@
   "num_conv_pos_embeddings": 128,
   "num_feat_extract_layers": 7,
   "num_hidden_layers": 24,
-  "pad_token_id": 30,
+  "pad_token_id": 27,
   "transformers_version": "4.5.0.dev0",
-  "vocab_size": 31
+  "vocab_size": 28
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9cdef175f42faa1fb540d457cf11259bbf0c529ebf6f4ebb5e84c0ad3e25bf48
-size 1262060951
+oid sha256:2ac83f343489f702212f47f54db0e5ca203e4ac6cef58b9f4c9d2f5e038fd75e
+size 1262048599

vocab.json

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