Upload tokenizer

README.md

@@ -1,19 +1,19 @@
 ---
-library_name: transformers
-license: mit
 base_model: facebook/w2v-bert-2.0
-tags:
-- generated_from_trainer
 datasets:
 - common_voice_16_0
+library_name: transformers
+license: mit
 metrics:
 - wer
+tags:
+- generated_from_trainer
 model-index:
 - name: w2v-bert-2.0-mongolian-colab-CV16.0
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: common_voice_16_0
       type: common_voice_16_0
@@ -21,9 +21,9 @@ model-index:
       split: test
       args: mn
     metrics:
-    - name: Wer
-      type: wer
+    - type: wer
       value: 0.5182727865999565
+      name: Wer
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

tokenizer_config.json

@@ -39,7 +39,6 @@
   "eos_token": "</s>",
   "model_max_length": 1000000000000000019884624838656,
   "pad_token": "[PAD]",
-  "processor_class": "Wav2Vec2BertProcessor",
   "replace_word_delimiter_char": " ",
   "target_lang": null,
   "tokenizer_class": "Wav2Vec2CTCTokenizer",