Model card for mobilenetv3 small 050.lamb in1k A MobileNet v3 image classification model. Trained on ImageNet 1k in timm using recipe template described below. Recipe details: A LAMB optimizer recipe that is similar to ResNet Strikes Back A2 but 50% longer with EMA weight averaging, no CutMix RMSProp (TF 1.0 behaviour) optimizer, EMA weight averaging Step (exponential decay w/ staircase) LR schedule with warmup Model Details Model Type: Image classification / feature backbone Model Stats: Params (M): 1.6 GMACs: 0.0 Activations (M): 0.9 Image size: 224 x 224 Papers: Searching for MobileNetV3: https://arxiv.org/abs/1905.02244 Dataset: ImageNet 1k 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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