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Update README.md

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@@ -114,7 +114,7 @@ _ = model.generate(**inputs, streamer = text_streamer, max_new_tokens = 128)
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  ## Training Data
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- The model was fine-tuned on a custom dataset of **2391 examples**. This dataset was created by:
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  1. Manually crafting 1126 examples based on dialogues from the Bhagavad Gita and hypothetical user scenarios relevant to modern life, with responses written in Krishna's persona.
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  2. Augmenting this with a general dataset on the Gita found online.
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  3. Formatting all examples using the Alpaca instruction structure (`instruction`, `input`, `response`).
 
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  ## Training Data
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+ The model was fine-tuned on a custom dataset of **2388 examples**. This dataset was created by:
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  1. Manually crafting 1126 examples based on dialogues from the Bhagavad Gita and hypothetical user scenarios relevant to modern life, with responses written in Krishna's persona.
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  2. Augmenting this with a general dataset on the Gita found online.
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  3. Formatting all examples using the Alpaca instruction structure (`instruction`, `input`, `response`).