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ThankGod/
swin-tiny-patch4-window7-224-vit-finetuned-melanoma

Name: swin-tiny-patch4-window7-224-vit-finetuned-melanoma
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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swin-tiny-patch4-window7-224-vit-finetuned-melanoma

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: 0.2687
Accuracy: 0.9017

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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
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
0.5392	1.0	112	0.5796	0.7884
0.4716	2.0	224	0.4380	0.8304
0.3932	3.0	336	0.3749	0.8534
0.3446	4.0	448	0.3851	0.8423
0.3401	5.0	560	0.3141	0.8708
0.2842	6.0	672	0.3309	0.8685
0.3126	7.0	784	0.3493	0.8629
0.2748	8.0	896	0.3391	0.8772
0.2455	9.0	1008	0.3053	0.8843
0.2361	10.0	1120	0.2749	0.8954
0.2218	11.0	1232	0.2842	0.8994
0.2071	12.0	1344	0.2507	0.9089
0.2228	13.0	1456	0.2614	0.8994
0.2018	14.0	1568	0.2664	0.9105
0.1774	15.0	1680	0.2687	0.9017

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3

ThankGod/swin-tiny-patch4-window7-224-vit-finetuned-melanoma

swin-tiny-patch4-window7-224-vit-finetuned-melanoma

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ThankGod/
swin-tiny-patch4-window7-224-vit-finetuned-melanoma