pedestrian_age_recognition_local

This model is a fine-tuned version of microsoft/beit-base-patch16-224-pt22k-ft22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.5004
• Accuracy: 0.8073

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: 8
• eval_batch_size: 8
• seed: 1337
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8849	1.0	2008	0.7939	0.6807
0.9836	2.0	4016	0.6694	0.7336
0.8128	3.0	6024	0.5768	0.7668
0.7611	4.0	8032	0.5541	0.7833
0.6441	5.0	10040	0.5473	0.7773
0.5696	6.0	12048	0.5187	0.7971
0.6925	7.0	14056	0.5082	0.8038
0.5711	8.0	16064	0.5092	0.8098
0.7741	9.0	18072	0.5026	0.8020
0.5269	10.0	20080	0.5004	0.8073

Framework versions

• Transformers 4.24.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.6.1
• Tokenizers 0.13.1

Contact information

For personal communication related to this project, please contact Nha Nguyen Van ([email protected]).