This is an experiment on DeepGHS's new tagger attachment training framework deepghs/emb_attachments.

Just some technical validation, not recommended for use in production.

(2025.3.7: This feature is still WIP, you can take a look at this PR and this documentation, you will like it.)

Name Encoder Problem FLOPS Params AUC accuracy loss mAP Labels
mlp_layer1_seed114514_dist8 wdtagger:SmilingWolf/wd-swinv2-tagger-v3 classification 525.3K 525.8K 0.9937 0.9743 0.04483 0.9937 monochrome, normal
mlp_layer1_seedx_dist8 wdtagger:SmilingWolf/wd-swinv2-tagger-v3 classification 525.3K 525.8K 0.9946 0.9732 0.04058 0.9947 monochrome, normal
mlp_layer1_seed3_dist8 wdtagger:SmilingWolf/wd-swinv2-tagger-v3 classification 525.3K 525.8K 0.9956 0.9699 0.05301 0.9957 monochrome, normal
mlp_layer1_seed1 wdtagger:SmilingWolf/wd-swinv2-tagger-v3 classification 525.3K 525.8K 0.9948 0.9652 0.06904 0.995 monochrome, normal
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Dataset used to train deepghs/eattach_monochrome_experiments