FFPP-Raw_1FPS_faces-expand-30-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: 0.0276
• Accuracy: 0.9898

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
0.133	1.0	709	0.0762	0.9704
0.0793	2.0	1418	0.0503	0.9803
0.0521	3.0	2127	0.0276	0.9898

Framework versions

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