Update README.md

README.md

@@ -6,10 +6,12 @@ tags: [automatic-speech-recognition, contrastive-learning, synthetic-data-filter
 # Model Card for Finetuned Version of Whisper-Small 
 
 This model was trained on a subset of the synthetically generated data that later on was filtered to increase the performance of Whisper Model. 
-The approach involves aligning representations of synthetic audio and corresponding text transcripts to identify and remove low-quality samples, improving the overall training data quality
+The approach involves aligning representations of synthetic audio and corresponding text transcripts to identify and remove low-quality samples, improving the overall training data quality.
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 In this Specific Model we used 82,32% of synthetic data generated by SeamllesMT4LargeV2, the rest was removed by the filtering model.
 The training set also contained, the CommonVoice Dataset, Multilibri Speach, and Bracarense (Fully Portuguese Dialect)
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 ## Model Details