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[EMNLP 2018] Training for Diversity in Image Paragraph Captioning

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I cloned the repo last month (before the most recently updated bug pertaining to the evaluation was fixed) but I made the (one line?) fix locally. I then tried training...

I’m not entirely sure how `train.py` loads pre-trained models. PyTorch’s documentation recommends `torch.load()` or` torch.load_state_dict()` — I see `torch.load_state_dict()` used for the optimizer, but neither used for the main `model`...

For some reason, the final CIDEr/METEOR/BLEU scores on the validation set are not printed at the end of each epoch when I train. Here's what my output looks like when...