FFPP-Raw_1FPS_faces-expand-50-aligned

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: 0.0281
• Accuracy: 0.9893

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
0.1211	1.0	695	0.0930	0.9639
0.0676	2.0	1390	0.0382	0.9853
0.0414	3.0	2085	0.0281	0.9893

Framework versions

• Transformers 4.34.0
• Pytorch 2.2.1
• Datasets 2.14.5
• Tokenizers 0.14.1