# GELECTRA-large-LegalQuAD
## Overview
**Language model:** GELECTRA-large 
**Language:** German
**Downstream-task:** Extractive QA  
**Training data:** German-legal-SQuAD   
**Eval data:** German-legal-SQuAD testset
## Hyperparameters
```
batch_size = 10
n_epochs = 2
max_seq_len=256,
learning_rate=1e-5,

## Eval results
Evaluated on German-legal-SQuAD testset
  "exact": 40.912
  "f1": 72.368
{"language": ["de"], "tags": ["qa"], "widget": [{"text": "", "context": "", "example_title": "Extractive QA"}]}
transformers pytorch electra question-answering qa de endpoints_compatible region:us
TAGS
#transformers #pytorch #electra #question-answering #qa #de #endpoints_compatible #region-us 

# GELECTRA-large-LegalQuAD
## Overview
Language model: GELECTRA-large 
Language: German
Downstream-task: Extractive QA  
Training data: German-legal-SQuAD   
Eval data: German-legal-SQuAD testset
## Hyperparameters
'''
batch_size = 10
n_epochs = 2
max_seq_len=256,
learning_rate=1e-5,

## Eval results
Evaluated on German-legal-SQuAD testset
  "exact": 40.912
  "f1": 72.368
# GELECTRA-large-LegalQuAD ## Overview
Language model: GELECTRA-large 
Language: German
Downstream-task: Extractive QA  
Training data: German-legal-SQuAD   
Eval data: German-legal-SQuAD testset ## Hyperparameters
'''
batch_size = 10
n_epochs = 2
max_seq_len=256,
learning_rate=1e-5, ## Eval results
Evaluated on German-legal-SQuAD testset
  "exact": 40.912
  "f1": 72.368
TAGS
#transformers #pytorch #electra #question-answering #qa #de #endpoints_compatible #region-us 
 # GELECTRA-large-LegalQuAD ## Overview
Language model: GELECTRA-large 
Language: German
Downstream-task: Extractive QA  
Training data: German-legal-SQuAD   
Eval data: German-legal-SQuAD testset ## Hyperparameters
'''
batch_size = 10
n_epochs = 2
max_seq_len=256,
learning_rate=1e-5, ## Eval results
Evaluated on German-legal-SQuAD testset
  "exact": 40.912
  "f1": 72.368
passage: TAGS
#transformers #pytorch #electra #question-answering #qa #de #endpoints_compatible #region-us 
# GELECTRA-large-LegalQuAD## Overview
Language model: GELECTRA-large 
Language: German
Downstream-task: Extractive QA  
Training data: German-legal-SQuAD   
Eval data: German-legal-SQuAD testset## Hyperparameters
'''
batch_size = 10
n_epochs = 2
max_seq_len=256,
learning_rate=1e-5,## Eval results
Evaluated on German-legal-SQuAD testset
  "exact": 40.912
  "f1": 72.368