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swin-base-patch4-window7-224-in22k-cons_Classification_base_V10 – AI Model by djbp | AlphaNeural AI
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swin-base-patch4-window7-224-in22k-cons_Classification_base_V10
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transformers
tensorboard
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-cons_Classification_base_V10
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: 0.3063
Accuracy: 0.8819
Auc Overall: 0.9577
Auc Class 0: 0.9496
Auc Class 1: 0.9589
Auc Class 2: 0.9646
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: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 512
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7
Training results
Framework versions
Transformers 4.44.2
Pytorch 1.13.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1
