Psoriasis-500-100aug-224-swinv2-base-patch4-window12-192-22k

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12-192-22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.1589
• Accuracy: 0.8201

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: 16
• eval_batch_size: 16
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 64
• 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
0.5248	0.9973	92	0.7503	0.7694
0.2461	1.9946	184	0.8202	0.7764
0.1164	2.9919	276	0.8260	0.8052
0.0656	4.0	369	1.0366	0.7860
0.0525	4.9973	461	1.0025	0.8148
0.0223	5.9946	553	1.1363	0.7965
0.0022	6.9919	645	1.1911	0.8061
0.009	8.0	738	1.2139	0.7965
0.0073	8.9973	830	1.2066	0.8166
0.0014	9.9729	920	1.1589	0.8201

Classification Report

Class	Precision (%)	Recall (%)	F1-Score (%)	Support
Abnormal	68	67	67	108
Erythrodermic	99	75	85	100
Guttate	94	84	89	114
Inverse	88	93	90	108
Nail	88	86	87	99
Normal	84	87	85	82
Not Define	98	99	98	92
Palm Soles	80	80	80	102
Plaque	73	92	81	84
Psoriatic Arthritis	88	75	81	104
Pustular	76	86	80	112
Scalp	86	94	90	80
Accuracy			84	1185
Macro Avg	85	85	84	1185
Weighted Avg	85	84	84	1185

Framework versions

• Transformers 4.41.2
• Pytorch 2.1.2
• Datasets 2.19.2
• Tokenizers 0.19.1