Results for the nonlocal net on Charades dataset

Hi!
I'm trying to train the nonlocal net on the Charades dataset and this repo is being of great help! However, I've run your script _nonlocal_resnet50_3d_charades.py_ but it achieved results lower than expected. In the script says that you've reached 32% mAP but my _best_model.txt_ got:

> train_loss 0.06904963731537
> train_top1 27.30711486067315
> train_top5 86.0374044127445
> val_loss 0.11540985137626932
> val_top1 30.0
> val_top5 94.5945945945946
> video_task_CharadesmAP 0.17685393374913622
> video_task_videotop1 38.16425120772947
> video_task_videotop5 147.66505636070855

Is there something else I should be paying attention to run this script?

Also, the paper for this network (https://arxiv.org/pdf/1711.07971.pdf) reports 37.5% mAP. The reason for this gap in the results is known?