File size: 2,107 Bytes
442eeb7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
---
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**

---