This model is a fine-tuned version of google/vit-large-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0268
Accuracy: 0.9792

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.4421	0.99	36	0.2504	0.8958
0.0968	1.99	72	0.0631	0.9583
0.0321	2.98	108	0.0639	0.9792
0.0065	4.0	145	0.0234	1.0
0.0067	4.97	180	0.0268	0.9792

Test results

Classes	precision	recall	f1-score	support
Erythromelal	1.00	1.00	1.00	5
Guttate	1.00	1.00	1.00	7
Inverse	1.00	1.00	1.00	4
Nail	1.00	1.00	1.00	10
Normal	1.00	1.00	1.00	11
Plaque	1.00	1.00	1.00	10
Psoriatic Arthritis	1.00	1.00	1.00	6
Pustular	1.00	1.00	1.00	6

accuracy			1.00	59
macro avg	1.00	1.00	1.00	59
weighted avg	1.00	1.00	1.00	59

confusion Matrix results

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2

ahmedesmail16/Psoriasis-Aug-M2-vit-large-patch16-224-in21k

Psoriasis-Aug-M2-vit-large-patch16-224-in21k

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Test results

confusion Matrix results

Framework versions

ahmedesmail16/
Psoriasis-Aug-M2-vit-large-patch16-224-in21k