Update README.md

README.md

@@ -19,7 +19,7 @@ model-index:
          type: wer
          value: 49.68
 ---
-# Wav2Vec2-Large-XLSR-53-Moroccan-Darija-V1
+# Wav2Vec2-Large-XLSR-53-Moroccan-Darija
 
 [othrif/wav2vec2-large-xlsr-moroccan](https://huggingface.co/othrif/wav2vec2-large-xlsr-moroccan) fine-tuned on 6 hours of labeled Darija Audios
 
@@ -35,8 +35,8 @@ import torch
 from transformers import Wav2Vec2CTCTokenizer, Wav2Vec2ForCTC, Wav2Vec2Processor, TrainingArguments, Wav2Vec2FeatureExtractor, Trainer
 
 tokenizer = Wav2Vec2CTCTokenizer("./vocab.json", unk_token="[UNK]", pad_token="[PAD]", word_delimiter_token="|")
-processor = Wav2Vec2Processor.from_pretrained('boumehdi/wav2vec2-large-xlsr-moroccan-darija-v1', tokenizer=tokenizer)
-model=Wav2Vec2ForCTC.from_pretrained('boumehdi/wav2vec2-large-xlsr-moroccan-darija-v1')
+processor = Wav2Vec2Processor.from_pretrained('boumehdi/wav2vec2-large-xlsr-moroccan-darija', tokenizer=tokenizer)
+model=Wav2Vec2ForCTC.from_pretrained('boumehdi/wav2vec2-large-xlsr-moroccan-darija')
 
 
 # load the audio data (use your own wav file here!)
@@ -71,6 +71,6 @@ This high validation loss value is mainly due to the fact that Darija can be wri
 
 ## Future Work
 
-Currently working on **wav2vec2-large-xlsr-moroccan-darija-v2** which will be available soon by adding more data (from 6hours to 12hours).
+Currently working on improving this model. The new model will be available soon.
+
 
-I am also working on audio data augmentation techniques (pitch shift, reberbation, additive augmentation.. ) to see if it is going to improve the **WER**.