Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
FINETUNED – AI Model by CVPROJ25 | AlphaNeural AI
You can deploy this model and start earning money today!
CVPROJ25
/
FINETUNED
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
FINETUNED
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: 0.9199
Accuracy: 0.774
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: 512
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8241
1.0
16
0.8922
0.773
0.3997
2.0
32
0.9019
0.7705
0.2905
3.0
48
0.9199
0.774
Framework versions
Transformers 5.2.0
Pytorch 2.5.1
Datasets 4.6.1
Tokenizers 0.22.1
