language: 
  - en
  
tags:
- Question Answering
- QA

datasets:
- SQuAD

models:
- microsoft/xtremedistil-l12-h384-uncased

metrics:
- SQuAD

hyper-parameters:
- learning rate: `5e-5`
- badge size: 16
- epochs: 1

Score:
- EM: 0.07613971637955648
- F1: 1.5494283569738803

Group:
- 97
{}
transformers pytorch bert question-answering endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #question-answering #endpoints_compatible #region-us 

language: 
  - en
  
tags:
- Question Answering
- QA

datasets:
- SQuAD

models:
- microsoft/xtremedistil-l12-h384-uncased

metrics:
- SQuAD

hyper-parameters:
- learning rate: '5e-5'
- badge size: 16
- epochs: 1

Score:
- EM: 0.07613971637955648
- F1: 1.5494283569738803

Group:
- 97
TAGS
#transformers #pytorch #bert #question-answering #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #bert #question-answering #endpoints_compatible #region-us 
