swin-tiny-patch4-window7-224-classification

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

• Loss: 0.2787
• Accuracy: 0.9264

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: 0.0001
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.1469	1.0	100	0.3027	0.9127
0.1677	2.0	200	0.3351	0.9001
0.167	2.99	300	0.3875	0.8931
0.1556	4.0	401	0.3814	0.8969
0.1328	5.0	501	0.3281	0.9046
0.1	6.0	601	0.3726	0.9004
0.1188	6.99	701	0.3736	0.9046
0.1257	8.0	802	0.3381	0.9102
0.1017	9.0	902	0.2872	0.9215
0.0987	10.0	1002	0.3067	0.9176
0.0874	10.99	1102	0.2919	0.9165
0.0901	12.0	1203	0.2942	0.9229
0.0831	13.0	1303	0.2974	0.9232
0.0838	14.0	1403	0.2787	0.9264
0.0603	14.96	1500	0.2780	0.9264

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.18.0
• Tokenizers 0.15.2