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swin-tiny-patch4-window7-224-finetuned-FaceAIorNot10000
This model is a fine-tuned version of microsoft/swin-tiny-patch4-window7-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1727
- Accuracy: 0.934
- F1: 0.9423
- Precision: 0.8968
- Recall: 0.9926
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
---|---|---|---|---|---|---|---|
0.1893 | 0.99 | 70 | 0.1881 | 0.923 | 0.9336 | 0.8782 | 0.9963 |
0.1437 | 2.0 | 141 | 0.1238 | 0.947 | 0.9528 | 0.9224 | 0.9853 |
0.1301 | 2.98 | 210 | 0.1727 | 0.934 | 0.9423 | 0.8968 | 0.9926 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.2