Model save
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README.md
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base_model: apple/mobilevitv2-1.0-imagenet1k-256
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tags:
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- generated_from_trainer
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model-index:
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- name: mobilevitv2_Liveness_detection_v1.0
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results: []
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# mobilevitv2_Liveness_detection_v1.0
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This model is a fine-tuned version of [apple/mobilevitv2-1.0-imagenet1k-256](https://huggingface.co/apple/mobilevitv2-1.0-imagenet1k-256) 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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- Transformers 4.44.2
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base_model: apple/mobilevitv2-1.0-imagenet1k-256
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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: mobilevitv2_Liveness_detection_v1.0
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results: []
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# mobilevitv2_Liveness_detection_v1.0
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This model is a fine-tuned version of [apple/mobilevitv2-1.0-imagenet1k-256](https://huggingface.co/apple/mobilevitv2-1.0-imagenet1k-256) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0046
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- Accuracy: 0.9988
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- F1: 0.9988
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- Recall: 0.9988
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- Precision: 0.9988
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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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| 0.1093 | 0.2048 | 128 | 0.0679 | 0.9929 | 0.9929 | 0.9929 | 0.9929 |
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| 0.0234 | 0.4096 | 256 | 0.0170 | 0.9962 | 0.9962 | 0.9962 | 0.9962 |
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| 0.0186 | 0.6144 | 384 | 0.0131 | 0.9973 | 0.9973 | 0.9973 | 0.9973 |
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| 0.0068 | 0.8192 | 512 | 0.0089 | 0.9980 | 0.9981 | 0.9980 | 0.9980 |
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| 0.0049 | 1.024 | 640 | 0.0067 | 0.9985 | 0.9985 | 0.9985 | 0.9985 |
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| 0.0113 | 1.2288 | 768 | 0.0064 | 0.9983 | 0.9984 | 0.9983 | 0.9983 |
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| 0.0061 | 1.4336 | 896 | 0.0060 | 0.9983 | 0.9983 | 0.9983 | 0.9984 |
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| 0.0025 | 1.6384 | 1024 | 0.0058 | 0.9983 | 0.9983 | 0.9983 | 0.9984 |
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| 0.0019 | 1.8432 | 1152 | 0.0053 | 0.9987 | 0.9986 | 0.9987 | 0.9987 |
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| 0.0056 | 2.048 | 1280 | 0.0051 | 0.9987 | 0.9987 | 0.9987 | 0.9987 |
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| 0.0015 | 2.2528 | 1408 | 0.0050 | 0.9987 | 0.9987 | 0.9987 | 0.9987 |
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| 0.0055 | 2.4576 | 1536 | 0.0049 | 0.9988 | 0.9987 | 0.9988 | 0.9988 |
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| 0.0023 | 2.6624 | 1664 | 0.0049 | 0.9989 | 0.9988 | 0.9989 | 0.9989 |
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| 0.0027 | 2.8672 | 1792 | 0.0046 | 0.9988 | 0.9988 | 0.9988 | 0.9988 |
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### Framework versions
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- Transformers 4.44.2
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