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license: mit |
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datasets: |
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- bhuvanmdev/chess-causal-formatted |
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language: |
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- en |
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tags: |
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- game |
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- experimetal |
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- chess |
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# Experimental Chess Model (Causal) |
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## Overview |
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This model is an experimental fine-tuned variant designed for **causal inference** on a very small subset of chess games. It leverages the base model obtained from Microsoft(phi-3-mini-4k-instruct) and has been fine-tuned using **Hugging Face Transformers** with the **Accelerate** library. |
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## Key Details |
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- **Task**: Causal inference on chess games |
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- **Base Model**: phi-3-mini-4k-instruct |
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- **Fine-Tuning Framework**: Hugging Face Transformers with Accelerate and peft |
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- **License**: MIT |
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## Description |
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The primary purpose of this model is to explore causal relationships within chess games. It was trained on a limited dataset, making it suitable for experimentation and research. While its performance may not match larger-scale models, it serves as a starting point for causal analysis in the chess games. |
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It also gives us an insight on how *causal models* react to high level chess games (2000> ELO). |
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## Limitations |
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- **Small Dataset**: Due to the limited data, the model's generalization capabilities are restricted. |
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- **Experimental Nature**: This model is not production-ready and should be used for research purposes only. |
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- **Causal Interpretation**: Interpretation of causal effects requires careful consideration and domain expertise. |
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## Usage |
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will be updated shortly !!! |
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## Metrics |
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will be updated shortly !!! |
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## Author |
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- **Author**: @bhuvanmdev <a href="https://github.com/bhuvanmdev" target="_blank">(GitHub profile)</a> |
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The main authors of the base model can be found <a href="https://huggingface.co/microsoft/Phi-3-mini-4k-instruct" target="_blank">Here</a> |
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Consider having a read at the <a href="https://huggingface.co/microsoft/Phi-3-mini-4k-instruct" target="_blank">original model card</a> to understand the biases,limitations and other necessary details. |
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**It's one of my first systematically fine-tuned model, Feel free to experiment with this model and contribute to its development! ;) |
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THANK YOU** |
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