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swin-tiny-patch4-window7-224-finetuned-FaceAIorNot4000
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: 0.1771
- Accuracy: 0.9275
- F1: 0.9348
- Precision: 0.9163
- Recall: 0.9541
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 |
---|---|---|---|---|---|---|---|
0.3839 | 0.99 | 28 | 0.3601 | 0.8225 | 0.8165 | 0.9349 | 0.7248 |
0.3035 | 1.98 | 56 | 0.2060 | 0.9125 | 0.9210 | 0.9067 | 0.9358 |
0.1707 | 2.97 | 84 | 0.1771 | 0.9275 | 0.9348 | 0.9163 | 0.9541 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.2