swin-base-patch4-window7-224-in22k-finetuned-CT-V2

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

• Loss: 0.0042
• Accuracy: 0.9989

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
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1147	0.0300	0.9901
No log	2.0	2294	0.0128	0.9959
No log	3.0	3441	0.0071	0.9978
No log	4.0	4588	0.0051	0.9986
0.1446	5.0	5735	0.0042	0.9989

Framework versions

• Transformers 4.37.2
• Pytorch 2.3.1+cpu
• Datasets 2.20.0
• Tokenizers 0.15.1