Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-base-beans – AI Model by jyb | AlphaNeural AI
You can deploy this model and start earning money today!
jyb
/
vit-base-beans
like
0
transformers
pytorch
vit
image-classification
vision
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:
Loss: 0.0769
Accuracy: 0.9850
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
0.2572
1.0
130
0.9624
0.2294
0.1531
2.0
260
0.9699
0.1501
0.0817
3.0
390
0.9850
0.0896
0.1444
4.0
520
0.9850
0.0833
0.1576
5.0
650
0.9850
0.0769
Framework versions
Transformers 4.25.0.dev0
Pytorch 1.7.1+cu110
Datasets 2.4.0
Tokenizers 0.13.2
