Run: python news_data_reader.py to create pickle file that will be used in my data-loader
Running the model
For me, the model was too big for my GPU, so I used smaller parameters as following for debugging purpose. CUDA_VISIBLE_DEVICES=3 python main.py --cuda --batch_size=2 --hop 4 --hidden_dim 100
Note to reviewer:
Although I implemented the core-part (2-step summary generation using BERT), I didn't have enough time to implement RL section.
The 2nd decoder process is very time-consuming (since it needs to create BERT context vector for each timestamp).