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Tamakoma/CowboyHatEmoji
CowboyHatEmoji is a image classification model from Tamakoma. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of facebook/convnextv2-large-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set: - Loss: 0.4250 - Accuracy: 0.7778
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From the Hugging Face model README
This model is a fine-tuned version of facebook/convnextv2-large-22k-384 on the imagefolder dataset. It achieves the following results on the evaluation set:
When you want to know if an art is 🤠 or not 🤠.
gelbooru contains a lot of images, however not all of them are in the same region as south eas asia. As such, to filter out such images we have created a classifier that in theory learns the differences between western (USA/Europe/etc.) and not western (Japan/China/SEA).
The definition of "Not Western" is limited to the the asian region (Japan, Korea, China, Taiwan, Thailand and the surroundign region). The author believes that the art is similar enough with the same "style" which he personally prefers over western art.
filter gelbooru data on 🤠 or not 🤠
Selected 358 images of 🤠 and not 🤠.
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7384 | 1.0 | 152 | 0.4268 | 0.7963 |
| 0.2888 | 2.0 | 304 | 0.4250 | 0.7778 |
| 0.2953 | 3.0 | 456 | 0.4250 | 0.7778 |
| 0.4914 | 4.0 | 608 | 0.4250 | 0.7778 |
| 0.4099 | 5.0 | 760 | 0.4250 | 0.7778 |