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license: llama2 |
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datasets: |
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- databricks/databricks-dolly-15k |
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language: |
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- en |
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inference: false |
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--- |
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This model is a modest attempt to gain experience in fine-tuning a small LLM on a T4 GPU. |
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"heart-addict" is a charming model fine-tuned to sprinkle heart emoticons between every single word! 💖🌟 You might wonder, why hearts? ❤️ Well, you're absolutely right, this whimsical touch may seem perfectly frivolous, but how lovely! 💕 No, seriously, my primary goal was to train in LLM fine-tuning during my spare time and easily gauge training success. Those endearing hearts turned into instant indicators of success! 🎯✨ |
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I crafted the dataset by applying these two simple steps to all samples: |
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1. select a random heart design in this list: [♡, ♥, ❤, 💔, 💝, 💓, 💕] |
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2. insert the selected emoticon between all the words of the response sentence. |
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Voilà! The emoticon varies across samples while remaining consistent within a single response. |
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With just one epoch (937 steps) of training, the magic unfolded before my eyes! 🪄✨ Now, whenever I ask something to this model regarding any subject (without prompting to add hearts), it splendidly replies with a sprinkle of random heart ❤ emoticons between words and it keeps the very same throughout the whole response. |
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Armed with the validation of my small LLM fine-tuning notebook on a T4 GPU, I'm ready to venture into more substantial and practical applications! (with more advanced evaluation metrics obviously... 📊 ) |
