Update README.md

README.md

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-license: cc-by-nc-sa-4.0
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+---
+license: cc-by-nc-sa-4.0
+language:
+- en
+pipeline_tag: text-to-audio
+---
+
+## ⚠️ Initial Checkpoint
+
+This is a Piper TTS model finetuned from [Kristin medium](https://huggingface.co/datasets/rhasspy/piper-checkpoints/tree/main/en/en_US/kristin/medium)
+
+This model is after just 5 epochs on ~30% of total data I curated (synthetic + natural).
+
+<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/Z9hoY0Rww7NgYVDK_Gosv.wav"></audio>
+<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/1hcqStPtTGGCZLvyNvsh3.wav"></audio>
+<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/HTzdcRaB2VPG283zfA7W3.wav"></audio>
+<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/8bRegOeimX1A6VCyjQUW-.wav"></audio>
+<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/659be8bbb0f43ed69f17e7b8/-ww0FdqtPPnTwZ2Kasl54.wav"></audio>
+
+Currently, I'm refining the dataset as I'm not satisfied with its quality. I will resume finetuning after.
+
+Also running ablations on the best ratio of synthetic and natural data. 
+
+From initial observations it seems like its better to use majority of one kind (90%-10%).
+
+Trying to push the boundaries of audio generated by a mere 63 MB model.
+
+## 🙏 Acknowledgements
+
+[Bryce Beattie](https://brycebeattie.com/files/tts/)
+
+[Piper TTS](https://github.com/rhasspy/piper)