Update README.md

README.md

@@ -1,3 +1,69 @@
 ---
 license: apache-2.0
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+datasets:
+- NeuralNovel/Neural-Story-v1
+library_name: transformers
+inference: false
+language:
+- en
 ---
+
+![Neural-Story](https://i.ibb.co/JFRYk6g/OIG-27.jpg)
+# NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
+[BASE MODEL HERE](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story)
+
+
+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.
+
+Designed to generate instructive and narrative text, with a specific focus on storytelling.
+This fine-tune has been tailored to provide detailed and creative responses in the context of narrative and optimised for short story telling.
+
+Based on mistralAI, with apache-2.0 license, suitable for commercial or non-commercial use.
+
+### Data-set
+The model was finetuned using the Neural-Story-v1 dataset.
+
+### Benchmark
+| Metric                | Value                     |
+|-----------------------|---------------------------|
+| Avg.                  | **64.96**   |
+| ARC          | 64.08          |
+| HellaSwag    | **66.89**   |
+| MMLU         | 60.67         |
+| TruthfulQA    | 66.89   |
+| Winogrande    | **75.85**   |
+| GSM8K         | 38.29        |
+
+Evaluated on **HuggingFaceH4/open_llm_leaderboard**
+
+### Summary
+
+Fine-tuned with the intention of generating creative and narrative text, making it more suitable for creative writing prompts and storytelling.
+
+#### Out-of-Scope Use
+
+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.
+
+### Bias, Risks, and Limitations
+
+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.
+
+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.
+
+### Hardware and Training
+
+Trained using NVIDIA Tesla T40 24 GB. 
+
+```
+
+  n_epochs = 3,
+  n_checkpoints = 3,
+  batch_size = 12,
+  learning_rate = 1e-5,
+
+
+
+```
+
+*Sincere appreciation to Techmind for their generous sponsorship.*