
# Model Details

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

## Parameter settings

batch size is 16, learning rate is 3e-5.

## Metrics

acc: 0.7148
{"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 'RTE'. 

## Parameter settings

batch size is 16, learning rate is 3e-5.

## Metrics

acc: 0.7148
# Model Details

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

batch size is 16, learning rate is 3e-5. ## Metrics

acc: 0.7148
TAGS
#transformers #pytorch #bert #dataset-glue #license-apache-2.0 #endpoints_compatible #region-us 
 # Model Details

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

batch size is 16, learning rate is 3e-5. ## Metrics

acc: 0.7148