update model

README.md

@@ -124,7 +124,7 @@ wer = load_metric("wer")
 print(wer.compute(predictions=result["predicted"], references=result["target"]))
 ```
 
-`CER: 0.8635578583765112`
+`CER: 0.842832469775475`
 
 Inference with GPT LM:
 ```python
@@ -192,4 +192,4 @@ wer = load_metric("wer")
 print(wer.compute(predictions=result["predicted"], references=result["target"]))
 ```
 
-`CER 0.7927461139896373`
+`CER 0.7803108808290156`

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
+  "_name_or_path": "wav2vec2-large-xlsr-53-tw-gpt",
   "activation_dropout": 0.0,
   "apply_spec_augment": true,
   "architectures": [
@@ -71,6 +71,6 @@
   "num_feat_extract_layers": 7,
   "num_hidden_layers": 24,
   "pad_token_id": 0,
-  "transformers_version": "4.4.0.dev0",
+  "transformers_version": "4.4.0",
   "vocab_size": 21128
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:80b6393d293991d01b78ee9219ad2a32d65cb30f33433491a795de7879322b8a
-size 1348554373
+oid sha256:212b93b8f38a294d6f5043a9ae848095848e4f3850bc7ee6b65417b85cabd819
+size 1348554377