Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-base-beans-demo-v5 – AI Model by dbwlsgh000 | AlphaNeural AI
You can deploy this model and start earning money today!
dbwlsgh000
/
vit-base-beans-demo-v5
like
0
transformers
tensorboard
safetensors
vit
image-classification
ViT
generated_from_trainer
google/vit-base-patch16-224-in21k
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vit-base-beans-demo-v5
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the beans dataset. It achieves the following results on the evaluation set:
Loss: 0.2799
Accuracy: 0.9248
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: 0.0002
train_batch_size: 16
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: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1255
1.5385
100
0.1676
0.9474
0.0134
3.0769
200
0.2799
0.9248
Framework versions
Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
