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swin-tiny-patch4-window7-224-spa_saloon_classification-spa-saloon – AI Model by mansee | AlphaNeural AI
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mansee
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swin-tiny-patch4-window7-224-spa_saloon_classification-spa-saloon
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transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
imagefolder
100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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swin-tiny-patch4-window7-224-spa_saloon_classification-spa-saloon
This model is a fine-tuned version of
100rab25/swin-tiny-patch4-window7-224-spa_saloon_classification
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0971
Accuracy: 0.9652
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2504
0.99
20
0.1401
0.9512
0.2051
1.98
40
0.1083
0.9652
0.1894
2.96
60
0.0939
0.9652
0.1115
4.0
81
0.0880
0.9686
0.117
4.94
100
0.0971
0.9652
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
