Tiny Mnist Classifier

--- language: en license: cc0-1.0 tags: - mnist - tiny-model - early-stopping pipeline_tag: image-classification --- # Tiny MNIST Classifier - **Parameters**: 970 (<1000) - **Test accuracy**: 92.35% - **Epochs trained**: 45 (early stopping after 5 epochs without improvement) This model was trained on RX 6600. ## Full results | Metric | Value | |---------------------------|-----------------| | Total parameters | 970 | | Best validation loss | 0.2463 | | Final test accuracy | 92.35% | | Early stopping patience | 5 | | Training epochs | 45 | ## Model architecture AvgPool(4x4) → Linear(49→16) → ReLU → Dropout(0.2) → Linear(16→10) ## How to use ```python import torch from train import TinyMNISTModel model = TinyMNISTModel() model.load_state_dict(torch.load("mnist_1k_best.pth")) model.eval() ```