Mnist Classifier
A deliberately trivial MNIST convnet -- the champion selected by an Optuna search and registered in MLflow, exported here as TorchScript and served by revision from this repo.
Source du modèle
- Type
- Other
- Taille du fichier
- 827 KB
- Version
- vRevision 4f02912
- Mis à jour
- 28 sept. 2026
- Téléchargements
- 4
- Source
- Hugging Face
Description de la source
mnist-classifier (champion v2)
A deliberately trivial MNIST conv_net -- the champion selected
by an Optuna search and registered in MLflow, exported here as TorchScript and
served by revision from this repo.
- Test accuracy: 0.9866
- Expected calibration error (ECE): 0.0023
- Hyperparameters:
lr=0.0013292918943162175,conv_channels=16,dropout=0.07800932022121826,hidden_dim=128 - Source MLflow run:
4863fc86bb854bd4a8644dd3d49fc216
Preprocessing: grayscale, normalize with mean 0.1307, std 0.3081
on a centred 28x28 digit. See the write-up for the full MLflow/Optuna story.
Sources
1 source
Sources
1 sourceVérifié 28 sept.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: mit tags: - image-classification - mnist - mlflow --- # mnist-classifier (champion v2) A deliberately trivial MNIST `conv_net` -- the **champion** selected by an Optuna search and registered in MLflow, exported here as TorchScript and served *by revision* from this repo. - **Test accuracy:** 0.9866 - **Expected calibration error (ECE):** 0.0023 - **Hyperparameters:** `lr=0.0013292918943162175`, `conv_channels=16`, `dropout=0.07800932022121826`, `hidden_dim=128` - **Source MLflow run:** `4863fc86bb854bd4a8644dd3d49fc216` Preprocessing: grayscale, normalize with mean `0.1307`, std `0.3081` on a centred 28x28 digit. See the write-up for the full MLflow/Optuna story.
Source context: 4 downloads · 0 likes · Pipeline image-classification · Repo rfflpllcn/mnist-classifier
