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juliadollis/siglip-finetuned-artdatasets
siglip-finetuned-artdatasets is a zero-shot image classification model from juliadollis. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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.safetensors813 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of google/siglip-base-patch16-224 on an unknown dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.458 | 0.3139 | 500 | 0.3211 |
| 1.1107 | 0.6277 | 1000 | 0.2249 |
| 0.928 | 0.9416 | 1500 | 0.1843 |
| 0.6952 | 1.2555 | 2000 | 0.1574 |
| 0.6393 | 1.5694 | 2500 | 0.1432 |
| 0.5702 | 1.8832 | 3000 | 0.1336 |
| 0.4676 | 2.1971 | 3500 | 0.1277 |
| 0.4588 | 2.5110 | 4000 | 0.1220 |
| 0.4416 | 2.8249 | 4500 | 0.1192 |