
# Performance Debugging

Uses `aim` and `accelerate` to ensure that we can get as close as possible when training on a single GPU and multiple GPU in terms of performance, and what that actually looks like
{"license": "apache-2.0", "datasets": ["glue"], "metrics": ["glue"]}
dataset:glue license:apache-2.0 region:us
TAGS
#dataset-glue #license-apache-2.0 #region-us 


# Performance Debugging

Uses 'aim' and 'accelerate' to ensure that we can get as close as possible when training on a single GPU and multiple GPU in terms of performance, and what that actually looks like
# Performance Debugging

Uses 'aim' and 'accelerate' to ensure that we can get as close as possible when training on a single GPU and multiple GPU in terms of performance, and what that actually looks like
TAGS
#dataset-glue #license-apache-2.0 #region-us 
 # Performance Debugging

Uses 'aim' and 'accelerate' to ensure that we can get as close as possible when training on a single GPU and multiple GPU in terms of performance, and what that actually looks like
TAGS
#dataset-glue #license-apache-2.0 #region-us 
# Performance Debugging

Uses 'aim' and 'accelerate' to ensure that we can get as close as possible when training on a single GPU and multiple GPU in terms of performance, and what that actually looks like