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: 0.0068
• Accuracy: 0.9983

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: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1147	0.0708	0.9768
No log	2.0	2294	0.0423	0.9871
No log	3.0	3441	0.0128	0.9963
No log	4.0	4588	0.0155	0.9951
No log	5.0	5735	0.0075	0.9980
No log	6.0	6882	0.0090	0.9979
No log	7.0	8029	0.0075	0.9976
0.1295	8.0	9176	0.0068	0.9983

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.1+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1