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Two-stage transfer learning on koscielnamarta/synthetic-usg-afast-vet.
Source du modèle
Description de la source
Two-stage transfer learning on koscielnamarta/synthetic-usg-afast-vet.
Sources
1 sourceVérifié 28 sept.
Artefacts du modèle
2 artefactsExtraits de sources
2 extraits--- license: mit tags: - ultrasound - veterinary - AFAST - tinyusfm - image-classification library_name: pytorch pipeline_tag: image-classification datasets: - koscielnamarta/synthetic-usg-afast-vet metrics: - accuracy - f1 base_model: MacDunno/TinyUSFM --- # TinyUSFM fine-tuned for synthetic veterinary AFAST classification Two-stage transfer learning on [koscielnamarta/synthetic-usg-afast-vet](https://huggingface.co/datasets/koscielnamarta/synthetic-usg-afast-vet). | Stage | Params | Best val_acc | Epochs | LR | |---|---|---|---|---| | I1 linear probing | 1,156 (0.0%) | 0.7238 | 5 | 0.001 | | I2 unfreeze 1 blocks | 446,020 (8.1%) | 0.9988 | 8 | 0.0001 | Trained exclusively on synthetic data -- not clinically usable. Source: [github.com/koscielnamarta/vet-eye-ai-usg-demo](https://github.com/koscielnamarta/vet-eye-ai-usg-demo)
| Stage | Params | Best val_acc | Epochs | LR |
|---|
| I1 linear probing | 1,156 (0.0%) | 0.7238 | 5 | 0.001 |
| I2 unfreeze 1 blocks | 446,020 (8.1%) | 0.9988 | 8 | 0.0001 |
Trained exclusively on synthetic data -- not clinically usable. Source: github.com/koscielnamarta/vet-eye-ai-usg-demo
Source context: 0 downloads · 0 likes · Pipeline image-classification · Library pytorch · Repo koscielnamarta/synthetic-usg-afast-vet-classifier
