### Dataset
* UpDown dataset is created using the CIFAR10 dataset

### Model Information
* Finetune the 'google/vit-base-patch16-224-in21k' pretrained model for 1 epoch

### Performance Measurement
* Binary Cross-Entropy loss is used to measure the training loss
* Accuracy is used to measure the overall model performance in the test set
{"license": "apache-2.0"}
license:apache-2.0 region:us
TAGS
#license-apache-2.0 #region-us 

### Dataset
* UpDown dataset is created using the CIFAR10 dataset

### Model Information
* Finetune the 'google/vit-base-patch16-224-in21k' pretrained model for 1 epoch

### Performance Measurement
* Binary Cross-Entropy loss is used to measure the training loss
* Accuracy is used to measure the overall model performance in the test set
### Dataset
* UpDown dataset is created using the CIFAR10 dataset ### Model Information
* Finetune the 'google/vit-base-patch16-224-in21k' pretrained model for 1 epoch ### Performance Measurement
* Binary Cross-Entropy loss is used to measure the training loss
* Accuracy is used to measure the overall model performance in the test set
TAGS
#license-apache-2.0 #region-us 
 ### Dataset
* UpDown dataset is created using the CIFAR10 dataset ### Model Information
* Finetune the 'google/vit-base-patch16-224-in21k' pretrained model for 1 epoch ### Performance Measurement
* Binary Cross-Entropy loss is used to measure the training loss
* Accuracy is used to measure the overall model performance in the test set
passage: TAGS
#license-apache-2.0 #region-us 
### Dataset
* UpDown dataset is created using the CIFAR10 dataset### Model Information
* Finetune the 'google/vit-base-patch16-224-in21k' pretrained model for 1 epoch### Performance Measurement
* Binary Cross-Entropy loss is used to measure the training loss
* Accuracy is used to measure the overall model performance in the test set