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sh-islam/ciln-bench-voters
ciln-bench-voters is a machine learning model from sh-islam. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
These are the trained classifiers, called voters, that labeled the CILN-Bench datasets. Each voter was trained on the clean-label-train split of its dataset. It never saw the rows it later labeled.
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Updated Sep 21, 2026
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.safetensors762 MB · 61%
From the Hugging Face model README
These are the trained classifiers, called voters, that labeled the CILN-Bench datasets. Each voter was trained on the clean-label-train split of its dataset. It never saw the rows it later labeled.
| Path | Voter | Dataset |
|---|---|---|
image/resnet20_cifar10_best.pt | ResNet-20 | CIFAR-10 |
image/wrn28_10_cifar10_best.pt | WRN-28-10 | CIFAR-10 |
image/deit3_small_cifar10_best.pt | DeiT3-Small, fine-tuned from ImageNet-21k weights | CIFAR-10 |
| not a file | CLIP ViT-B/32, zero-shot, prompt "a photo of a {class}" | CIFAR-10 |
image/lenet5_mnist_best.pt | LeNet-5 | MNIST |
image/mlp_mnist_best.pt | MLP | MNIST |
image/resnet20_mnist_best.pt | ResNet-20 | MNIST |
image/deit3_small_mnist_best.pt | DeiT3-Small | MNIST |
tabular/xgboost_adult_dummyna.json | XGBoost | Adult |
tabular/catboost_adult.cbm | CatBoost | Adult |
tabular/mlp_adult_best.pt | RTDL-style MLP | Adult |
tabular/ft_transformer_adult_best.pt | FT-Transformer | Adult |
| not a file | TabPFN, used as is | Adult |
text/fasttext/model.bin | fastText | AG-News |
text/distilbert/ | DistilBERT-cased, Hugging Face save_pretrained folder | AG-News |
text/roberta-base/ | RoBERTa-base, Hugging Face save_pretrained folder | AG-News |
| not a file | all-MiniLM-L6-v2, zero-shot with one prompt per class | AG-News |
The train_summary.json files next to the checkpoints give the final validation and test accuracy of each run.
MIT license.