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README.md

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 license: apache-2.0
 library_name: timm
 ---
+# WD ConvNext Tagger v3
+
+Supports ratings, characters and general tags.
+
+Trained using https://github.com/SmilingWolf/JAX-CV.  
+TPUs used for training kindly provided by the [TRC program](https://sites.research.google/trc/about/).
+
+## Dataset
+Last image id: 7220105  
+Trained on Danbooru images with IDs modulo 0000-0899.  
+Validated on images with IDs modulo 0950-0999.  
+Images with less than 10 general tags were filtered out.  
+Tags with less than 600 images were filtered out.
+
+## Validation results
+`P=R: threshold = 0.2570, F1 = 0.4282`
+
+## What's new
+Model v1.0/Dataset v3:  
+More training images, more and up-to-date tags (up to 2024-02-28).  
+Now `timm` compatible! Load it up and give it a spin using the canonical one-liner!  
+ONNX model is compatible with code developed for the v2 series of models.  
+The batch dimension of the ONNX model is not fixed to 1 anymore. Now you can go crazy with batch inference.  
+Switched to Macro-F1 to measure model performance since it gives me a better gauge of overall training progress.
+
+## Final words
+Subject to change and updates.
+Downstream users are encouraged to use tagged releases rather than relying on the head of the repo.