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

Loss: 0.7503
Accuracy: 0.8454

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
0.4942	0.9973	92	0.6791	0.7825
0.2458	1.9946	184	0.6565	0.8087
0.0935	2.9919	276	0.6838	0.8140
0.056	4.0	369	0.8758	0.7913
0.0267	4.9973	461	0.7926	0.8245
0.0074	5.9946	553	0.7328	0.8437
0.0056	6.9919	645	0.7332	0.8480
0.0019	8.0	738	0.7667	0.8524
0.0013	8.9973	830	0.7548	0.8437
0.0006	9.9729	920	0.7503	0.8454

Classification Report

Class	Precision (%)	Recall (%)	F1-Score (%)	Support
Abnormal	68	81	74	108
Erythrodermic	94	76	84	100
Guttate	92	87	89	114
Inverse	92	93	92	108
Nail	86	84	85	99
Normal	85	87	86	82
Not Define	99	99	99	92
Palm Soles	79	80	80	102
Plaque	88	75	81	84
Psoriatic Arthritis	83	82	83	104
Pustular	77	84	80	112
Scalp	88	94	91	80
Accuracy			85	1185
Macro Avg	86	85	85	1185
Weighted Avg	86	85	85	1185

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

ahmedesmail16/Psoriasis-500-100aug-224-swin-large

Psoriasis-500-100aug-224-swin-large

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Classification Report

Framework versions

ahmedesmail16/
Psoriasis-500-100aug-224-swin-large