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  2. model.safetensors +1 -1
README.md ADDED
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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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+
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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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+
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+ # face_poofing_detection
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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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