
# Model Details

`bert-base-uncased` finetuned on `QQP`. 

## Parameter settings

batch size is 32, learning rate is 2e-5.

## Metrics

acc: 0.9140, f1: 0.8840
{"license": "apache-2.0", "datasets": ["glue"]}
transformers pytorch bert dataset:glue license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #dataset-glue #license-apache-2.0 #endpoints_compatible #region-us 


# Model Details

'bert-base-uncased' finetuned on 'QQP'. 

## Parameter settings

batch size is 32, learning rate is 2e-5.

## Metrics

acc: 0.9140, f1: 0.8840
# Model Details

'bert-base-uncased' finetuned on 'QQP'. ## Parameter settings

batch size is 32, learning rate is 2e-5. ## Metrics

acc: 0.9140, f1: 0.8840
TAGS
#transformers #pytorch #bert #dataset-glue #license-apache-2.0 #endpoints_compatible #region-us 
 # Model Details

'bert-base-uncased' finetuned on 'QQP'. ## Parameter settings

batch size is 32, learning rate is 2e-5. ## Metrics

acc: 0.9140, f1: 0.8840