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dinov2_LoRA_Liveness_detection_v1.1
nguyenkhoa/dinov2_LoRA_Liveness_detection_v1.1
dinov2_LoRA_Liveness_detection_v1.1 is a machine learning model from nguyenkhoa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Access
- Public
- Created
- Jan 9, 2025
- Updated
- Jan 10, 2025
- SHA
- fa979c4c
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
dinov2_LoRA_Liveness_detection_v1.1
This model is a fine-tuned version of nguyenkhoa/dinov2_Liveness_detection_v2.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0243
- Accuracy: 0.9917
- F1: 0.9917
- Recall: 0.9917
- Precision: 0.9917
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 512
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 0.0501 | 0.4076 | 64 | 0.0458 | 0.9841 | 0.9841 | 0.9841 | 0.9842 |
| 0.0355 | 0.8153 | 128 | 0.0342 | 0.9880 | 0.9880 | 0.9880 | 0.9880 |
| 0.0253 | 1.2229 | 192 | 0.0308 | 0.9901 | 0.9901 | 0.9901 | 0.9901 |
| 0.0226 | 1.6306 | 256 | 0.0267 | 0.9910 | 0.9910 | 0.9910 | 0.9910 |
| 0.0264 | 2.0382 | 320 | 0.0255 | 0.9912 | 0.9912 | 0.9912 | 0.9912 |
| 0.0168 | 2.4459 | 384 | 0.0245 | 0.9922 | 0.9922 | 0.9922 | 0.9922 |
| 0.0144 | 2.8535 | 448 | 0.0243 | 0.9917 | 0.9917 | 0.9917 | 0.9917 |
Framework versions
- PEFT 0.14.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1
- Library
- peft
- Created
- Jan 9, 2025
- Updated
- Jan 10, 2025