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swin-base-patch4-window7-224-in22k-finetuned-CT – AI Model by zen45 | AlphaNeural AI
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zen45
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swin-base-patch4-window7-224-in22k-finetuned-CT
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transformers
safetensors
swin
image-classification
generated_from_trainer
imagefolder
microsoft/swin-base-patch4-window7-224-in22k
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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swin-base-patch4-window7-224-in22k-finetuned-CT
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: 1.1390
Accuracy: 0.7716
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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
0.5901
1.0
45
1.2602
0.5685
0.2771
2.0
90
1.1593
0.7107
0.2341
3.0
135
1.2320
0.7234
0.1879
4.0
180
1.1390
0.7716
0.1765
5.0
225
1.3081
0.7614
Framework versions
Transformers 4.40.2
Pytorch 2.3.0+cu118
Datasets 2.19.1
Tokenizers 0.19.1
