Psoriasis-Project-M-swinv2-base-patch4-window12-192-22k – AI Model by ahmedesmail16 | AlphaNeural AI

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ahmedesmail16/
Psoriasis-Project-M-swinv2-base-patch4-window12-192-22k

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image-classification

generated_from_trainer

microsoft/swinv2-base-patch4-window12-192-22k

autotrain_compatible

endpoints_compatible

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Psoriasis-Project-M-swinv2-base-patch4-window12-192-22k

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

Loss: 0.2385
Accuracy: 0.9167

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
No log	0.92	6	0.3476	0.9167
0.0528	2.0	13	0.2577	0.9167
0.0528	2.92	19	0.3270	0.9167
0.0535	4.0	26	0.3330	0.8542
0.0176	4.92	32	0.2745	0.8958
0.0176	6.0	39	0.3743	0.8958
0.0337	6.92	45	0.3473	0.8958
0.0066	8.0	52	0.2628	0.9167
0.0066	8.92	58	0.2392	0.9167
0.0049	9.23	60	0.2385	0.9167

Framework versions

Transformers 4.39.3
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2