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