Samonte/Submission-158-28

EfficientNetV2-L (torchvision efficientnet_v2_l, 1000 ImageNet classes) fine-tuned with adversarial training for the Perturb subnet (netuid 26).

miner hotkey: 5HEtPjhaCs859sdCjMG1a3TEZWFftKRs4VAYzCjnNUf82iDL
on-chain hash: sha256(model.safetensors || hotkey) = 6ee58ee157156a550874f8dee80cccf91ee1a248213817b07b1199a2d6f0f3c9
preprocessing: EfficientNet_V2_L_Weights.IMAGENET1K_V1.transforms() (bicubic resize 480, center crop 480, mean = std = 0.5)

from safetensors.torch import load_file
from torchvision.models import efficientnet_v2_l
model = efficientnet_v2_l(weights=None)
model.load_state_dict(load_file("model.safetensors"))

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Safetensors

Model size

0.1B params

Tensor type

F32