| 文件 | 最后提交记录 | 最后更新时间 |
|---|---|---|
| 9 年前 | ||
| 8 年前 | ||
| 9 年前 |
This example produces the preprocessed Europarl English corpus that can be then used for training a model.
Requires nltk
Usage example:
./run.sh
cd ..
python data.py ./example/out
python main.py ep 256 0.02
python play_with_model.py Model_ep_h256_lr0.02.pcl
The input text to play_with_model.py should be similar to the contents of the preprocessed files in ./example/out (i.e. lowercased, numeric tokens replaced with ), but should not contain punctuation tokens.
Training time on this dataset with a Nvidia Tesla K20 GPU was about 15 hours (~3500 samples per second)