ky-finetuned-skindiseasefinal

This model is a fine-tuned version of facebook/dinov2-base on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.1301
• Accuracy: 0.9553

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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.4949	0.9974	287	0.6912	0.7770
0.7268	1.9974	574	0.3927	0.8775
0.5179	2.9974	861	0.3185	0.8983
0.4193	3.9974	1148	0.2439	0.9191
0.3576	4.9974	1435	0.2107	0.9301
0.3015	5.9974	1722	0.1821	0.9386
0.2648	6.9974	2009	0.1685	0.9411
0.2228	7.9974	2296	0.1497	0.9487
0.1946	8.9974	2583	0.1407	0.9494
0.1625	9.9974	2870	0.1301	0.9553

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0