Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
cifar10-vit-poc – AI Model by clem | AlphaNeural AI
You can deploy this model and start earning money today!
clem
/
cifar10-vit-poc
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
cifar10-vit-poc
This model is a fine-tuned version of
google/vit-base-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3206
Accuracy: 0.9003
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: 64
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
lr_scheduler_warmup_steps: 0.1
training_steps: 300
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2874
0.1919
300
0.3206
0.9003
Framework versions
Transformers 5.6.2
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
