
# BERT-Base Uncased SQuADv1

`bert-base-uncased` trained on question answering with `squad`. 

Evalulation scores:

```
***** eval metrics *****
  epoch            =     3.0
  eval_exact_match = 80.6906
  eval_f1          = 88.1129
  eval_samples     =   10784
```
{"license": "apache-2.0"}
transformers pytorch bert question-answering license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #question-answering #license-apache-2.0 #endpoints_compatible #region-us 


# BERT-Base Uncased SQuADv1

'bert-base-uncased' trained on question answering with 'squad'. 

Evalulation scores:


# BERT-Base Uncased SQuADv1

'bert-base-uncased' trained on question answering with 'squad'. 

Evalulation scores:
TAGS
#transformers #pytorch #bert #question-answering #license-apache-2.0 #endpoints_compatible #region-us 
 # BERT-Base Uncased SQuADv1

'bert-base-uncased' trained on question answering with 'squad'. 

Evalulation scores:
passage: TAGS
#transformers #pytorch #bert #question-answering #license-apache-2.0 #endpoints_compatible #region-us 
# BERT-Base Uncased SQuADv1

'bert-base-uncased' trained on question answering with 'squad'. 

Evalulation scores: