
# Model Details

`bert-base-uncased` finetuned on `STS-b`. 

## Parameter settings

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

## Metrics

pearson_corr: 0.8742, spearman_corr: 0.8707
{"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 'STS-b'. 

## Parameter settings

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

## Metrics

pearson_corr: 0.8742, spearman_corr: 0.8707
# Model Details

'bert-base-uncased' finetuned on 'STS-b'. ## Parameter settings

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

pearson_corr: 0.8742, spearman_corr: 0.8707
TAGS
#transformers #pytorch #bert #dataset-glue #license-apache-2.0 #endpoints_compatible #region-us 
 # Model Details

'bert-base-uncased' finetuned on 'STS-b'. ## Parameter settings

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

pearson_corr: 0.8742, spearman_corr: 0.8707