Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
vit-base-beans – AI Model by fmagot01 | AlphaNeural AI
You can deploy this model and start earning money today!
fmagot01
/
vit-base-beans
like
0
transformers
pytorch
vit
image-classification
generated_from_trainer
beans
google/vit-base-patch16-224-in21k
finetune
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
vit-base-patch16-224-in21k-finetuned-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: 0.0622
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: 0.0002
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1329
1.54
100
0.0408
0.9925
0.0169
3.08
200
0.0622
0.9850
Framework versions
Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
