why the result is 0.01 when I validate

[heyumeng123]

I run your model about mfb.When I train,every step is done according to your requirements.The input is"python run.py --RUN='train' --MODEL='mfb' --DATASET='vqa' " And we can see the results.The accuracy is about 65%.
when I validate ,The input is "python run.py --RUN='val' --MODEL='mfb' --DATASET='vqa ' --CKPT_V=7153401 --CKPT_E=13" 7153401 is the version about loaded model.But the results is 0.01. Why it is 0.01. I dont know what's wrong.

[yuzcccc]

The phenomenon is really odd, and we have rerun the command just as you provided (we only trained for 1 epoch) but the result obtained by manual validation is consistent with the validation during training. Do you use other augment when during training or testing, e.g., accu or multiple GPUs?

[heyumeng123]

After the dataset is downloaded, I start training.The dataset is what you presented on the web. I dont have the ability to change the code, so I didn't use other augment during training or testing.Now I have trained it again.But the result is 0.01

[MIL-VLG]

This is caused by a bug indeed. We have fixed the problem in #44