Update README.md

README.md

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 # whisper-base-ft-btb-cv-cy-cpp
 
-This model is a version of the [openai/whisper-base](https://huggingface.co/openai/whisper-base) model, finedtuned with transcriptions 
-of Welsh language spontaneous speech Banc Trawsgrifiadau Bangor (btb) ac well as recordings of read speach from Welsh Common Voice 
-version 18 (cv) for additional training, and then 
-[converted for use in whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models#fine-tuned-models). Whispercpp is
-a C/C++ port of Whisper that provides high performance inference on offline hardware such as desktops, laptops and mobile devices. 
-
-The model is a smaller in size to the corresponding cloud hosted model 
-[techiaith/whisper-large-v3-ft-btb-cv-cy](https://huggingface.co/techiaith/whisper-large-v3-ft-btb-cv-cy).
+This model is a version of the [openai/whisper-base](https://huggingface.co/openai/whisper-base) model, fine-tuned with 
+transcriptions of Welsh language spontaneous speech from Banc Trawsgrifiadau Bangor (btb) dataset, as well as read 
+speech from Welsh Common Voice version 18 (cv) for additional training, and then 
+[converted for use in whisper.cpp](https://github.com/ggerganov/whisper.cpp/tree/master/models#fine-tuned-models). 
+
+Whispercpp is a C/C++ port of Whisper that provides high performance inference on hardware such as desktops, laptops 
+and mobile devices, thus giving an offline option. 
+
+The model is a smaller in size to the corresponding model for hosting on cloud GPU based infrastructure 
+[techiaith/whisper-large-v3-ft-btb-cv-cy](https://huggingface.co/techiaith/whisper-large-v3-ft-btb-cv-cy) and thus
+not as accurate. 
+
 It achieves the following WER results for transcribing Welsh language spontaneous speech: 
 
- - Wer: 62.76
- - Cer: 27.70
+ - WER: 62.76
+ - CER: 27.70
 
 
 ## Usage