swin-tiny-patch4-window7-224-finetuned-birads-24

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: 1.1073
• Accuracy: 0.4794

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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.3421	0.9756	30	1.3277	0.3693
1.2421	1.9837	61	1.1846	0.4587
1.1991	2.9919	92	1.1325	0.4817
1.1722	4.0	123	1.1322	0.4679
1.1798	4.9756	153	1.1013	0.4954
1.1525	5.9837	184	1.1094	0.4977
1.1188	6.9919	215	1.0942	0.4931
1.0973	8.0	246	1.1091	0.4748
1.0742	8.9756	276	1.1134	0.4794
1.0777	9.7561	300	1.1073	0.4794

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1