Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-base-patch16-224-finetuned-food102 – AI Model by adhisetiawan | AlphaNeural AI
You can deploy this model and start earning money today!
adhisetiawan
/
vit-base-patch16-224-finetuned-food102
like
0
transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vit-base-patch16-224-finetuned-food102
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: 0.5096
Accuracy: 0.8684
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: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
3.3941
0.9997
717
0.6625
0.8351
2.6442
1.9993
1434
0.5420
0.8597
2.1182
2.9990
2151
0.5096
0.8684
Framework versions
Transformers 4.46.0
Pytorch 2.1.0+cu118
Datasets 3.0.2
Tokenizers 0.20.1
