| | --- |
| | license: mit |
| | datasets: |
| | - bhuvanmdev/chess-causal-formatted |
| | language: |
| | - en |
| | tags: |
| | - game |
| | - experimetal |
| | - chess |
| | --- |
| | |
| | # Experimental Chess Model (Causal) |
| |
|
| | ## Overview |
| | 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. |
| |
|
| | ## Key Details |
| | - **Task**: Causal inference on chess games |
| | - **Base Model**: phi-3-mini-4k-instruct |
| | - **Fine-Tuning Framework**: Hugging Face Transformers with Accelerate and peft |
| | - **License**: MIT |
| |
|
| | ## Description |
| | 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. |
| | It also gives us an insight on how *causal models* react to high level chess games (2000> ELO). |
| |
|
| | ## Limitations |
| | - **Small Dataset**: Due to the limited data, the model's generalization capabilities are restricted. |
| | - **Experimental Nature**: This model is not production-ready and should be used for research purposes only. |
| | - **Causal Interpretation**: Interpretation of causal effects requires careful consideration and domain expertise. |
| |
|
| | ## Usage |
| | will be updated shortly !!! |
| |
|
| | ## Metrics |
| | will be updated shortly !!! |
| |
|
| | ## Author |
| | - **Author**: @bhuvanmdev <a href="https://github.com/bhuvanmdev" target="_blank">(GitHub profile)</a> |
| |
|
| |
|
| | 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> |
| |
|
| | 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. |
| |
|
| |
|
| | **It's one of my first systematically fine-tuned model, Feel free to experiment with this model and contribute to its development! ;) |
| | THANK YOU** |
| |
|
| | --- |
| |
|