Model save
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README.md
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base_model: facebook/dinov2-small
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tags:
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- generated_from_trainer
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model-index:
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- name: dinov2_Liveness_detection_v2.2.1
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results: []
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# dinov2_Liveness_detection_v2.2.1
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This model is a fine-tuned version of [facebook/dinov2-small](https://huggingface.co/facebook/dinov2-small) on an unknown dataset.
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## Model description
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.44.2
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base_model: facebook/dinov2-small
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- recall
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- precision
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model-index:
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- name: dinov2_Liveness_detection_v2.2.1
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results: []
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# dinov2_Liveness_detection_v2.2.1
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This model is a fine-tuned version of [facebook/dinov2-small](https://huggingface.co/facebook/dinov2-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0671
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- Accuracy: 0.9869
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- F1: 0.9868
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- Recall: 0.9869
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- Precision: 0.9870
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## Model description
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
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|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
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| 0.183 | 0.8153 | 128 | 0.2473 | 0.9016 | 0.9039 | 0.9016 | 0.9123 |
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| 0.1022 | 1.6306 | 256 | 0.0750 | 0.9729 | 0.9727 | 0.9729 | 0.9737 |
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| 0.0432 | 2.4459 | 384 | 0.0575 | 0.9820 | 0.9820 | 0.9820 | 0.9823 |
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| 0.0247 | 3.2611 | 512 | 0.0507 | 0.9832 | 0.9832 | 0.9832 | 0.9833 |
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| 0.0115 | 4.0764 | 640 | 0.0536 | 0.9865 | 0.9864 | 0.9865 | 0.9866 |
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| 0.002 | 4.8917 | 768 | 0.0671 | 0.9869 | 0.9868 | 0.9869 | 0.9870 |
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### Framework versions
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- Transformers 4.44.2
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model.safetensors
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runs/Jan14_08-51-22_28994632e1b7/events.out.tfevents.1736844686.28994632e1b7.21.0
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