Beta
Explore
Marketplace
Neural Labs
Playground
Wallet
Docs
fruitclassificationapp – AI Model by foniiac1 | AlphaNeural AI
You can deploy this model and start earning money today!
foniiac1
/
fruitclassificationapp
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
fruitclassificationapp
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: 0.0000
Accuracy: 1.0
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: 16
eval_batch_size: 16
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: 100
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0041
1.0
1039
0.0003
1.0
0.0083
2.0
2078
0.0001
1.0
0.0061
3.0
3117
0.0001
1.0
0.0017
4.0
4156
0.0001
1.0
0.0030
5.0
5195
0.0000
1.0
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
