swinv2-base-patch4-window8-256-isic217

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window8-256 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1588
• Accuracy: 0.65

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: 2
• eval_batch_size: 2
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• 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
2.1681	0.9888	22	2.0018	0.25
1.9254	1.9775	44	1.7653	0.35
1.6706	2.9663	66	1.6649	0.6
1.2834	4.0	89	1.5579	0.5
1.2039	4.9888	111	1.4087	0.55
0.9395	5.9775	133	1.3115	0.5
0.7532	6.9663	155	1.3599	0.6
0.6573	8.0	178	1.1588	0.65
0.6663	8.9888	200	1.2074	0.6
0.4686	9.8876	220	1.2285	0.6

Framework versions

• Transformers 4.42.0.dev0
• Pytorch 2.3.0+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1