Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-base-beans – AI Model by naveensb8182 | AlphaNeural AI
You can deploy this model and start earning money today!
naveensb8182
/
vit-base-beans
like
0
transformers
pytorch
tensorboard
vit
image-classification
generated_from_trainer
beans
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vit-base-beans
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:
Accuracy: 0.9774
Loss: 0.0876
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: 8
eval_batch_size: 8
seed: 1337
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Training Loss
Epoch
Step
Accuracy
Validation Loss
0.26
1.0
130
0.9549
0.2285
0.277
2.0
260
0.9925
0.1066
0.1629
3.0
390
0.9699
0.1069
0.0963
4.0
520
0.9774
0.0885
0.1569
5.0
650
0.9774
0.0876
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cpu
Datasets 2.8.0
Tokenizers 0.13.2
