ModelAufgelistetExtern

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.

Quellehuggingface.co/rfflpllcn/mnist-classifier/tree/4f029127e5815e38ee66a578e8ef8f7c8c99a227

ArtOtherVersionRevision 4f02912

Modellquelle

Art: Other
Dateigröße: 827 KB
Version: vRevision 4f02912
Aktualisiert: 28. Sept. 2026
Downloads: 4
Quelle: Hugging Face

Quellenbeschreibung

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.

Quellen

1 Quelle

Hugging FacePrimärVersion 4f029127e5815e38ee66a578e8ef8f7c8c99a227

huggingface.co/rfflpllcn/mnist-classifier/tree/4f029127e5815e38ee66a578e8ef8f7c8c99a227

Verifiziert 28. Sept.

Modellartefakte

1 Artefakt

model.pt

pt · 827 KB · SHA-256 acb45ff655de…1f9d · Hugging Face

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Quellenauszüge

2 Auszüge

Readme28. Sept.huggingface.co/rfflpllcn/mnist-classifier

--- 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.

Note28. Sept.huggingface.co/rfflpllcn/mnist-classifier

Source context: 4 downloads · 0 likes · Pipeline image-classification · Repo rfflpllcn/mnist-classifier