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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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  # gemma-prompt
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- This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
 
 
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  results: []
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  # gemma-prompt
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+ This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on 2 datasets- dolly-15k for general knowledge and a curated m-a-p/MusicPile
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  ## Model description
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+ This model is a completed trained model used for music knowledge and prompt automation from musical vibes.
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  ## Intended uses & limitations
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+ Intended use for the model is to have it generate prompts for music that takes into account elements of the surrounding environment, such as the types of buildings nearby, the weather, time of day, and nearby landmarks.
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  ## Training and evaluation data
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+ The datasets used to help train the model are the dolly-15k dataset for general purpose of answering questions and following commands, and a second curated m-a-p/MusicPile data used to fine-tune the model specifically for musical vibe and descriptions of different objects, places, and things. We evaluate our model using a portion of the m-a-p/MusicPile.
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  ## Training procedure
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+ Split dataset from MusicPile to focus on distilled music knowledge
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+ Used dolly for general finetuning
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  ### Training hyperparameters
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  The following hyperparameters were used during training: