Steam Genre Classifier using Radeon RX 9070XT - Llama 3.1 8B Instruct (LoRA)
This is my first ever LLM fine-tune so please keep that in mind!!
This is a LoRA adapter fine-tuned on the Steam games dataset for multi-label genre
classification. Given a short game description, the model predicts one or more genres
from: Action, Adventure, Casual, Education, Massively Multiplayer, RPG, Racing,
Simulation, Sports, Strategy.
Dataset details
Machine used for training
Fedora Linux 44
Linux Kernel 7.0.4
KDE Plasma 6.6.4
AMD Ryzen 7 7700 @ 5.39 GHZ
GPU 1: AMD Radeon RX 9070 XT
GPU 2: AMD Raphael (integrated graphics)
64 GB RAM
Results
I sampled 100 rows from the dataset that were NOT part of the training set.
| Metric | Score |
|---|
| Exact match | 29% |
| Partial match | 84% |
| Primary genre | 63% |
The 84% partial match means at least one genre was correct in most cases.
The exact match is low but honestly the dataset itself has issues because I think developers can self-assign genres for discoverability rather than accuracy, so the labels
are inherently noisy.
Limitations
- Only 1 training epoch
- Genre labels in the Steam dataset are assigned by developers and can be
subjective or inflated for visibility
- Short descriptions vary a lot in quality - some barely describe the game at all
Full project and code
