swin-base-patch4-window7-224-in22k-finetuned-brain-tumor-final

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224-in22k on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 0.1577
• Accuracy: 0.9396
• F1 Score: 0.9385
• Precision: 0.9408

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: 1e-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: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1 Score	Precision
1.1562	0.99	41	1.1378	0.6378	0.6191	0.6537
0.4878	1.99	82	0.6477	0.7591	0.7499	0.7874
0.2623	2.98	123	0.4410	0.8337	0.8311	0.8488
0.1985	4.0	165	0.4660	0.8144	0.8115	0.8455
0.1736	4.99	206	0.3230	0.8776	0.8760	0.8894
0.124	5.99	247	0.2684	0.9026	0.9014	0.9090
0.1278	6.98	288	0.2210	0.9180	0.9166	0.9210
0.0959	8.0	330	0.2151	0.9208	0.9195	0.9260
0.0849	8.99	371	0.2154	0.9220	0.9205	0.9291
0.0805	9.99	412	0.2112	0.9191	0.9179	0.9251
0.0682	10.98	453	0.1563	0.9385	0.9369	0.9402
0.0624	12.0	495	0.1577	0.9396	0.9385	0.9408
0.0415	12.99	536	0.1836	0.9305	0.9294	0.9332
0.0465	13.99	577	0.2145	0.9203	0.9192	0.9252
0.056	14.98	618	0.1710	0.9339	0.9325	0.9369
0.0545	16.0	660	0.2094	0.9248	0.9236	0.9298
0.0591	16.99	701	0.1752	0.9317	0.9303	0.9341
0.0512	17.99	742	0.1781	0.9311	0.9297	0.9342
0.0424	18.98	783	0.1873	0.9305	0.9293	0.9338
0.0438	19.88	820	0.1955	0.9265	0.9252	0.9307

Framework versions

• Transformers 4.29.2
• Pytorch 2.0.1+cu117
• Datasets 2.12.0
• Tokenizers 0.13.3