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# Automaticlly model architecture search for Reading Comprehension
SQuAD is a competition holded by Stanford. Giving you queries and passages, you need to select answer from passage.
# Automaticlly Model Architecture Search for Reading Comprehensio
This example shows us how to use Genetic Algorithm to find good model architectures for Reading Comprehension task.
## Search Space
Since attention and recurrent neural network (RNN) module have been proven effective in Reading Comprehension.
We conclude the search space as follow:
1. IDENTITY (Effectively means keep training).
......@@ -15,15 +13,14 @@ We conclude the search space as follow:
6. ADD-SKIP (Identity between random layers).
7. REMOVE-SKIP (Removes random skip).
![ga-squad-logo](./ga_squad.png)
## Ner version
Also we have another version which time cost is less and performance is better. We will release soon.
# How to run this example?
# Download data
## Use downloading script
## Use downloading script to download data
Execute the following command to download needed files
using the downloading script:
......@@ -49,7 +46,7 @@ wget http://nlp.stanford.edu/data/glove.840B.300d.zip
unzip glove.840B.300d.zip
```
# How to submit this job
# submit this job
```
nnictl create --config ~/nni/examples/trials/ga_squad/config.yaml
```
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