Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
mnist-digit-classification-2022-09-04 – AI Model by farleyknight | AlphaNeural AI
You can deploy this model and start earning money today!
farleyknight
/
mnist-digit-classification-2022-09-04
like
0
transformers
pytorch
vit
image-classification
vision
generated_from_trainer
mnist
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
mnist-digit-classification-2022-09-04
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the mnist dataset. It achieves the following results on the evaluation set:
Loss: 0.0319
Accuracy: 0.9923
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: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Training results
Framework versions
Transformers 4.22.0.dev0
Pytorch 1.12.1+cu102
Datasets 2.4.0
Tokenizers 0.12.1
