Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
verifitas_vit_image_detection – AI Model by ibrahimamar07 | AlphaNeural AI
You can deploy this model and start earning money today!
ibrahimamar07
/
verifitas_vit_image_detection
like
0
transformers
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
verifitas_vit_image_detection
This model is a fine-tuned version of
google/vit-base-patch16-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0343
Accuracy: 0.9925
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0547
1.0
3600
0.0304
0.9894
0.0063
2.0
7200
0.0405
0.9900
0.0024
3.0
10800
0.0343
0.9925
Framework versions
Transformers 5.10.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
