Upload tokenizer

README.md

@@ -1,19 +1,19 @@
 ---
-library_name: transformers
-license: apache-2.0
 base_model: facebook/wav2vec2-base
-tags:
-- generated_from_trainer
 datasets:
 - timit_asr
+library_name: transformers
+license: apache-2.0
 metrics:
 - wer
+tags:
+- generated_from_trainer
 model-index:
 - name: wav2vec2-base-timit-demo-colab
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: timit_asr
       type: timit_asr
@@ -21,9 +21,9 @@ model-index:
       split: None
       args: clean
     metrics:
-    - name: Wer
-      type: wer
+    - type: wer
       value: 0.3707532216938874
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

vocab.json

@@ -1,32 +1,32 @@
 {
-  "'": 24,
+  "'": 25,
   "[PAD]": 29,
   "[UNK]": 28,
-  "a": 9,
-  "b": 15,
-  "c": 2,
-  "d": 20,
-  "e": 6,
-  "f": 22,
-  "g": 3,
-  "h": 11,
-  "i": 8,
-  "j": 5,
-  "k": 25,
-  "l": 12,
-  "m": 18,
-  "n": 13,
-  "o": 19,
-  "p": 27,
-  "q": 1,
-  "r": 17,
-  "s": 21,
-  "t": 23,
-  "u": 26,
-  "v": 0,
-  "w": 4,
-  "x": 16,
-  "y": 10,
-  "z": 7,
-  "|": 14
+  "a": 24,
+  "b": 11,
+  "c": 6,
+  "d": 15,
+  "e": 9,
+  "f": 14,
+  "g": 18,
+  "h": 10,
+  "i": 13,
+  "j": 0,
+  "k": 20,
+  "l": 1,
+  "m": 17,
+  "n": 19,
+  "o": 4,
+  "p": 5,
+  "q": 26,
+  "r": 2,
+  "s": 23,
+  "t": 12,
+  "u": 8,
+  "v": 7,
+  "w": 3,
+  "x": 27,
+  "y": 22,
+  "z": 16,
+  "|": 21
 }