bknyaz/nino_metatrain

This is the dataset of trained neural network checkpoints used to meta-train the NiNo model from https://github.com/SamsungSAILMontreal/nino/. It contains 1000 models in total: 300 small convnets with 3 layers and 16, 32 and 32 channels (14,378 parameters in each model), trained on FashionMNIST (FM-16) 300 small convnets with 3 layers and 16, 32 and 32 channels (14,666 parameters in each model), trained on CIFAR10 (C10-16) 200 small GPT2-based transformers with 3 layers, 24 hidden units and 3… See the full description on the dataset page: https://huggingface.co/datasets/bknyaz/nino_metatrain.

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