Model save
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README.md
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base_model: nguyenkhoa/dinov2_Liveness_detection_v2.1
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tags:
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- generated_from_trainer
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model-index:
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- name: dinov2_LoRA_Liveness_detection_v1.1
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results: []
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# dinov2_LoRA_Liveness_detection_v1.1
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This model is a fine-tuned version of [nguyenkhoa/dinov2_Liveness_detection_v2.1](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.1) on an unknown dataset.
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## Model description
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.14.0
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base_model: nguyenkhoa/dinov2_Liveness_detection_v2.1
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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_LoRA_Liveness_detection_v1.1
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results: []
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# dinov2_LoRA_Liveness_detection_v1.1
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This model is a fine-tuned version of [nguyenkhoa/dinov2_Liveness_detection_v2.1](https://huggingface.co/nguyenkhoa/dinov2_Liveness_detection_v2.1) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0243
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- Accuracy: 0.9917
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- F1: 0.9917
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- Recall: 0.9917
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- Precision: 0.9917
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## Model description
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- num_epochs: 3
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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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| 0.0501 | 0.4076 | 64 | 0.0458 | 0.9841 | 0.9841 | 0.9841 | 0.9842 |
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| 0.0355 | 0.8153 | 128 | 0.0342 | 0.9880 | 0.9880 | 0.9880 | 0.9880 |
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| 0.0253 | 1.2229 | 192 | 0.0308 | 0.9901 | 0.9901 | 0.9901 | 0.9901 |
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| 0.0226 | 1.6306 | 256 | 0.0267 | 0.9910 | 0.9910 | 0.9910 | 0.9910 |
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| 0.0264 | 2.0382 | 320 | 0.0255 | 0.9912 | 0.9912 | 0.9912 | 0.9912 |
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| 0.0168 | 2.4459 | 384 | 0.0245 | 0.9922 | 0.9922 | 0.9922 | 0.9922 |
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| 0.0144 | 2.8535 | 448 | 0.0243 | 0.9917 | 0.9917 | 0.9917 | 0.9917 |
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### Framework versions
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- PEFT 0.14.0
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