skip-thoughts
An implementation of Skip-Thought Vectors in PyTorch.
Blog
Here's a blog explaining the subtleties of Skip-Thoughts
Instructions
Training
Download BookCorpus or any other data-set and concatenate all sentences into one file and put it in ./data/
directory
Modify the following line in Train.ipynb
notebook accordingly: d = DataLoader("./data/dummy_corpus.txt")
There is no early stopping.
The Train
notebook runs at the rate of 1 epoch / 2 days on an Nvidia 1080 Ti.
Your model is saved when ./saved_models
when the average training loss in the last 20 iterations dips below the previous best.
Evaluation
Only implemented on classification tasks * Download the movie review dataset and put rt-polarity.neg
and rt-polarity.pos
in the ./tasks/mr_data
directory. * You may also test on other classification tasks by downloading the datasets and providing their path and tasks type in Evaluate.ipynb