update readme

README.md

@@ -13,9 +13,9 @@ widget:
 pipeline_tag: automatic-speech-recognition
 ---
 
-Bangla ASR model which was trained Bangla Mozilla Common Voice Dataset. This is Fine-tuning Whisper for Bangla mozilla common voice dataset. 
-For training Bangla ASR model here used 40k traning and 7k Validation around 400 hours data. We trained 12000 steps this model and get word 
-error rate 4.58%. This model was fine-tune whisper small[244 M] model.
+Bangla ASR model which was trained Bangla Mozilla Common Voice Dataset. This is Fine-tuning Whisper model using Bangla mozilla common voice dataset. 
+For training this model used 40k training and 7k Validation of around 400 hours of data. We trained 12000 steps and get word 
+error rate 4.58%. This model was whisper small[244 M] variant model.
 
 
 ```py
@@ -61,7 +61,7 @@ print(transcription)
 
 
 # Dataset
-Use Mozilla common voice dataset. we used 400 hours data both training 40k and validation 7k mp3 samples.
+Used Mozilla common voice dataset around 400 hours data both training[40k] and validation[7k] mp3 samples.
 For more information about dataser please [click here](https://commonvoice.mozilla.org/bn/datasets)
 
 # Training Model Information