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Text Summarization using Pointer Attention Models

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I am trying to train pointer generator network . After training for 10k iterations it starts overfitting. Any suggestions on why this might be happening. coverage_loss is not used. Note-...

`article_oov`, `self.encUnkCount = 1` are used as locals but should be global. also, the `article_oov` is a vec for the last article (not the entire batch/dataset) which is incorrect.

After a few iterations, there is an out of memory error while training (with the default settings). The memory used by the model is increasing after every iteration quite rapidly....

Hi, I am trying to clone the repo and reproduce the results. I plugged in the finished_files directory as described. I am getting the following error when I run main.py....