Model save
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README.md
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base_model: nguyenkhoa/dinov2_Liveness_detection_v2.1.3
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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_v2.1.4
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results: []
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# dinov2_Liveness_detection_v2.1.4
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This model is a fine-tuned version of [nguyenkhoa/dinov2_Liveness_detection_v2.1.3](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.1.3) 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_v2.1.3
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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_v2.1.4
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results: []
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# dinov2_Liveness_detection_v2.1.4
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This model is a fine-tuned version of [nguyenkhoa/dinov2_Liveness_detection_v2.1.3](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.1.3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0167
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- Accuracy: 0.9967
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- F1: 0.9967
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- Recall: 0.9967
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- Precision: 0.9967
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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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| 0.0402 | 0.5872 | 64 | 0.0219 | 0.9919 | 0.9919 | 0.9919 | 0.9920 |
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| 0.0231 | 1.1743 | 128 | 0.0355 | 0.9892 | 0.9891 | 0.9892 | 0.9893 |
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| 0.0152 | 1.7615 | 192 | 0.0178 | 0.9935 | 0.9935 | 0.9935 | 0.9935 |
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| 0.0085 | 2.3486 | 256 | 0.0279 | 0.9932 | 0.9932 | 0.9932 | 0.9932 |
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| 0.0086 | 2.9358 | 320 | 0.0196 | 0.9938 | 0.9938 | 0.9938 | 0.9938 |
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| 0.0041 | 3.5229 | 384 | 0.0185 | 0.9957 | 0.9957 | 0.9957 | 0.9957 |
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| 0.0018 | 4.1101 | 448 | 0.0191 | 0.9961 | 0.9961 | 0.9961 | 0.9961 |
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| 0.0008 | 4.6972 | 512 | 0.0167 | 0.9967 | 0.9967 | 0.9967 | 0.9967 |
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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/Jan20_01-21-33_696aed1d49f7/events.out.tfevents.1737336096.696aed1d49f7.18.0
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