Model card for efficientnet b5.sw in12k ft in1k A EfficientNet image classification model. Pretrained on ImageNet 12k and fine tuned on ImageNet 1k by Ross Wightman in timm using recipe template described below. Recipe details: Based on Swin Transformer train / pretrain recipe with modifications (related to both DeiT and ConvNeXt recipes) AdamW optimizer, gradient clipping, EMA weight averaging Cosine LR schedule with warmup Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 30.4 GMACs: 9.6 Activations (M): 93.6 Image size: 448 x 448 Papers: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks: https://arxiv.org/abs/1905.11946 Dataset: ImageNet 1k Pretrain Dataset: ImageNet 12k Original: https://github.com/huggingface/pytorch image models Model Usage Image Classification Feature Map Extraction Image Embeddings Model Comparison Explore the dataset and runtime metrics of this model in timm model results. Citation
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