Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
swin-large-patch4-window12-384-in22k-finetuned-batch8 – AI Model by zabir735 | AlphaNeural AI
You can deploy this model and start earning money today!
zabir735
/
swin-large-patch4-window12-384-in22k-finetuned-batch8
like
0
transformers
tensorboard
safetensors
swin
image-classification
generated_from_trainer
imagefolder
microsoft/swin-large-patch4-window12-384-in22k
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
swin-large-patch4-window12-384-in22k-finetuned-batch8
This model is a fine-tuned version of
microsoft/swin-large-patch4-window12-384-in22k
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0430
Accuracy: 0.9886
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2123
0.9949
49
0.0916
0.9659
0.1613
1.9898
98
0.0430
0.9886
0.116
2.9848
147
0.0346
0.9886
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1
