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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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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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model-index: |
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- name: face_poofing_detection |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# face_poofing_detection |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.6273 |
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- Accuracy: 0.9871 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 6.3243 | 0.9846 | 48 | 5.6154 | 0.8919 | |
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| 4.4794 | 1.9897 | 97 | 4.3516 | 0.9202 | |
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| 3.8293 | 2.9949 | 146 | 3.6687 | 0.9730 | |
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| 3.2121 | 4.0 | 195 | 3.1092 | 0.9820 | |
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| 2.733 | 4.9846 | 243 | 2.6919 | 0.9743 | |
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| 2.3114 | 5.9897 | 292 | 2.2633 | 0.9923 | |
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| 1.9962 | 6.9949 | 341 | 1.9594 | 0.9923 | |
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| 1.7789 | 8.0 | 390 | 1.7641 | 0.9897 | |
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| 1.6642 | 8.9846 | 438 | 1.6506 | 0.9910 | |
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| 1.6005 | 9.8462 | 480 | 1.6273 | 0.9871 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.1.0 |
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- Tokenizers 0.19.1 |
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