Boya1_RMSProp_1-e5_10Epoch_swin-base-window7-224-in22k_fold3

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.1325
• Accuracy: 0.6741

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: 1e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1101	1.0	923	1.1258	0.6189
1.0093	2.0	1846	1.0135	0.6527
0.9375	3.0	2769	0.9810	0.6678
0.7383	4.0	3692	0.9381	0.6824
0.5544	5.0	4615	1.0054	0.6762
0.3667	6.0	5538	1.0182	0.6746
0.4307	7.0	6461	1.0606	0.6754
0.3187	8.0	7384	1.1112	0.6746
0.3138	9.0	8307	1.1223	0.6787
0.3019	10.0	9230	1.1325	0.6741

Framework versions

• Transformers 4.35.0
• Pytorch 2.1.0
• Datasets 2.14.6
• Tokenizers 0.14.1