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+ ---
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+ license: apache-2.0
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+ base_model: mistralai/Mistral-7B-Instruct-v0.2
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+ datasets:
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+ - NeuralNovel/Neural-Story-v1
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+ library_name: transformers
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+ inference: false
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+ ---
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+
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+ ![Neural-Story](https://i.ibb.co/JFRYk6g/OIG-27.jpg)
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+ # NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
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+
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+
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+
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+ The **Mistral-7B-Instruct-v0.2-Neural-Story** model, developed by NeuralNovel and funded by Techmind, is a language model finetuned from Mistral-7B-Instruct-v0.2.
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+
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+ Designed to generate instructive and narrative text, with a specific focus on storytelling.
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+ This fine-tune has been tailored to provide detailed and creative responses in the context of narrative and optimised for short story telling.
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+
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+ Based on mistralAI, with apache-2.0 license, suitable for commercial or non-commercial use.
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+
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+ ### Data-set
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+ The model was finetuned using the Neural-Story-v1 dataset.
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+
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+ ### Benchmark
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+ | Metric | Value |
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+ |-----------------------|---------------------------|
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+ | Avg. | **64.96** |
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+ | ARC | 64.08 |
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+ | HellaSwag | **66.89** |
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+ | MMLU | 60.67 |
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+ | TruthfulQA | 66.89 |
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+ | Winogrande | **75.85** |
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+ | GSM8K | 38.29 |
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+
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+ Evaluated on **HuggingFaceH4/open_llm_leaderboard**
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+
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+ ### Summary
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+
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+ Fine-tuned with the intention of generating creative and narrative text, making it more suitable for creative writing prompts and storytelling.
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+
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+ #### Out-of-Scope Use
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+
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+ The model may not perform well in scenarios unrelated to instructive and narrative text generation. Misuse or applications outside its designed scope may result in suboptimal outcomes.
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+
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+ ### Bias, Risks, and Limitations
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+
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+ The model may exhibit biases or limitations inherent in the training data. It is essential to consider these factors when deploying the model to avoid unintended consequences.
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+
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+ While the Neural-Story-v0.1 dataset serves as an excellent starting point for testing language models, users are advised to exercise caution, as there might be some inherent genre or writing bias.
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+
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+ ### Hardware and Training
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+
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+ Trained using NVIDIA Tesla T40 24 GB.
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+
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+ ```
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+
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+ n_epochs = 3,
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+ n_checkpoints = 3,
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+ batch_size = 12,
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+ learning_rate = 1e-5,
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+
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+
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+
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+ ```
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+
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+ *Sincere appreciation to Techmind for their generous sponsorship.*