32health/non-ada-classification-dinov3
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README.md
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This model is a fine-tuned version of [facebook/dinov3-vitb16-pretrain-lvd1689m](https://huggingface.co/facebook/dinov3-vitb16-pretrain-lvd1689m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Precision: 0.
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- Recall: 0.
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- F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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### Framework versions
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This model is a fine-tuned version of [facebook/dinov3-vitb16-pretrain-lvd1689m](https://huggingface.co/facebook/dinov3-vitb16-pretrain-lvd1689m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0569
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- Precision: 0.9613
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- Recall: 0.9664
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- F1: 0.9639
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.4090 | 1.0 | 145 | 0.3883 | 0.5656 | 0.6565 | 0.6077 |
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| 0.2000 | 2.0 | 290 | 0.2048 | 0.8247 | 0.8897 | 0.8560 |
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| 0.1257 | 3.0 | 435 | 0.1353 | 0.9061 | 0.9422 | 0.9238 |
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| 0.1012 | 4.0 | 580 | 0.1013 | 0.9413 | 0.9601 | 0.9506 |
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| 0.0786 | 5.0 | 725 | 0.0808 | 0.9481 | 0.9590 | 0.9535 |
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| 0.0676 | 6.0 | 870 | 0.0697 | 0.9545 | 0.9706 | 0.9625 |
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| 0.0592 | 7.0 | 1015 | 0.0651 | 0.9553 | 0.9643 | 0.9597 |
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| 0.0486 | 8.0 | 1160 | 0.0599 | 0.9572 | 0.9632 | 0.9602 |
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| 0.0419 | 9.0 | 1305 | 0.0578 | 0.9634 | 0.9664 | 0.9649 |
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| 0.0469 | 10.0 | 1450 | 0.0569 | 0.9613 | 0.9664 | 0.9639 |
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### Framework versions
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 345051000
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