Model save
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README.md
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base_model: nguyenkhoa/dinov2_Liveness_detection_v2.1.2
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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_v2.1.3
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results: []
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@@ -15,6 +20,12 @@ should probably proofread and complete it, then remove this comment. -->
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# dinov2_Liveness_detection_v2.1.3
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This model is a fine-tuned version of [nguyenkhoa/dinov2_Liveness_detection_v2.1.2](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.1.2) 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 4.47.0
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base_model: nguyenkhoa/dinov2_Liveness_detection_v2.1.2
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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_v2.1.3
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results: []
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# dinov2_Liveness_detection_v2.1.3
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This model is a fine-tuned version of [nguyenkhoa/dinov2_Liveness_detection_v2.1.2](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.1.2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0123
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- Accuracy: 0.9976
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- F1: 0.9976
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- Recall: 0.9976
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- Precision: 0.9976
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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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| 0.1276 | 0.3232 | 64 | 0.0239 | 0.992 | 0.9920 | 0.992 | 0.9921 |
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| 0.0273 | 0.6465 | 128 | 0.0253 | 0.9908 | 0.9908 | 0.9908 | 0.9908 |
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| 0.0236 | 0.9697 | 192 | 0.0257 | 0.9908 | 0.9908 | 0.9908 | 0.9908 |
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| 0.015 | 1.2929 | 256 | 0.0223 | 0.9936 | 0.9936 | 0.9936 | 0.9936 |
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| 0.0133 | 1.6162 | 320 | 0.0144 | 0.9954 | 0.9954 | 0.9954 | 0.9954 |
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| 0.0149 | 1.9394 | 384 | 0.0271 | 0.9913 | 0.9913 | 0.9913 | 0.9914 |
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| 0.0097 | 2.2626 | 448 | 0.0234 | 0.9922 | 0.9922 | 0.9922 | 0.9922 |
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| 0.009 | 2.5859 | 512 | 0.0149 | 0.9954 | 0.9954 | 0.9954 | 0.9954 |
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| 0.0076 | 2.9091 | 576 | 0.0184 | 0.9952 | 0.9952 | 0.9952 | 0.9952 |
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| 0.0045 | 3.2323 | 640 | 0.0201 | 0.9951 | 0.9951 | 0.9951 | 0.9951 |
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| 0.0032 | 3.5556 | 704 | 0.0169 | 0.9958 | 0.9958 | 0.9958 | 0.9958 |
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| 0.0029 | 3.8788 | 768 | 0.0178 | 0.9961 | 0.9960 | 0.9961 | 0.9961 |
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| 0.002 | 4.2020 | 832 | 0.0148 | 0.9969 | 0.9969 | 0.9969 | 0.9969 |
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| 0.001 | 4.5253 | 896 | 0.0135 | 0.9973 | 0.9973 | 0.9973 | 0.9973 |
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| 0.0007 | 4.8485 | 960 | 0.0123 | 0.9976 | 0.9976 | 0.9976 | 0.9976 |
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### Framework versions
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- Transformers 4.47.0
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model.safetensors
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runs/Jan17_00-30-11_697c6a0b94d1/events.out.tfevents.1737073814.697c6a0b94d1.17.0
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