ViT_face

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the unsmile_data dataset. It achieves the following results on the evaluation set:

• Loss: 0.1574

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	38	0.8504
No log	2.0	76	0.5505
No log	3.0	114	0.3683
No log	4.0	152	0.2726
No log	5.0	190	0.2143
No log	6.0	228	0.1879
No log	7.0	266	0.1718
No log	8.0	304	0.1630
No log	9.0	342	0.1585
No log	10.0	380	0.1574

Framework versions

• Transformers 4.42.4
• Pytorch 2.3.1+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1