Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
beta11-ViT – AI Model by mikerol | AlphaNeural AI
You can deploy this model and start earning money today!
mikerol
/
beta11-ViT
like
0
transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
facebook/deit-tiny-patch16-224
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
beta11-ViT
This model is a fine-tuned version of
facebook/deit-tiny-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5219
Accuracy: 0.85
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: 0.0001
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
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: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.7356
1.0
63
1.3664
0.711
0.6231
2.0
126
0.6065
0.818
0.4567
3.0
189
0.5219
0.85
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cpu
Datasets 4.0.0
Tokenizers 0.22.1
