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Donkey Small
DonkeySmall
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6 days ago
New MobileNetV4 weights were uploaded a few days ago -- more ImageNet-12k training at 384x384 for the speedy 'Conv Medium' models. There are 3 weight variants here for those who like to tinker. On my hold-out eval they are ordered as below, not that different, but the Adopt 180 epochs closer to AdamW 250 than to AdamW 180. * AdamW for 250 epochs - https://huggingface.co/timm/mobilenetv4_conv_medium.e250_r384_in12k * Adopt for 180 epochs - https://huggingface.co/timm/mobilenetv4_conv_medium.e180_ad_r384_in12k * AdamW for 180 epochs - https://huggingface.co/timm/mobilenetv4_conv_medium.e180_r384_in12k This was by request as a user reported impressive results using the 'Conv Large' ImagNet-12k pretrains as object detection backbones. ImageNet-1k fine-tunes are pending, the weights do behave differently with the 180 vs 250 epochs and the Adopt vs AdamW optimizer.
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DonkeySmall/OCR-English-Printed-12
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Aug 3
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DonkeySmall/OCR-Numbers-Printed-5
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Aug 3
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DonkeySmall/OCR-Cyrillic-Printed-6
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Jul 27
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DonkeySmall/OCR-Cyrillic-Printed-8
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Jul 27
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DonkeySmall/OCR-English-Printed-14
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Jul 27
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DonkeySmall/OCR-Cyrillic-Printed-10
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Jul 25
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DonkeySmall/OCR-Cyrillic-Printed-9
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Jul 19
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DonkeySmall/OCR-Numbers-Printed-2
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Jul 19
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DonkeySmall/OCR-Cyrillic-Printed-1
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May 6
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48
DonkeySmall/OCR-Numbers-Printed-0
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May 6
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