Fine-Tuned_Model3

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

• Loss: 0.7362
• Accuracy: 0.608
• F1: 0.5096

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: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
3.2255	5.0	20	1.9574	0.512	0.3083
1.3773	10.0	40	0.8854	0.584	0.4617
0.869	15.0	60	0.7880	0.608	0.4795
0.7966	20.0	80	0.7732	0.6	0.4846
0.8458	25.0	100	0.7795	0.576	0.4112
0.8135	30.0	120	0.7362	0.608	0.5096

Framework versions

• Transformers 4.37.2
• Pytorch 2.1.0+cu121
• Datasets 2.17.0
• Tokenizers 0.15.1