Christian Bartz
Christian Bartz
Hi, the first picture should not work, but the second should actually... did you have a look at the some feature visualization? YOu can do this with Visual Backprop. IN...
That's odd... the log file should be created after the first `100` iterations and contain the necessary data. Is your dataset large enough for the training to still be in...
Hmm, I did not provide a dataset for text recognition, as there is not enough space to host that data there. which dataset are you using? And did you check...
Ok, you can change [this](https://github.com/Bartzi/see/blob/master/chainer/train_text_recognition.py#L202) line to: `if stats_cpu['iteration'] == args.log_interval:` and it should work.
I'd be happy merging your PR =)
Hmm looks like your starting learning rate is too high. My guess is you tried to train with a learning rate of `1e-3` you should set it to `1e-4`. It...
No, there is no problem. The program is performing a validation of your trained model on the entire validation dataset. This will take a while. Everything is alright.
I'm also seeing an `nan` in your train log. Did you adjust the learning rate to a lower value?
In this case you definitely need to adjust to learning rate to `1e-4` or `1e-5`.
it could be that a division by zero occurs somewhere... If adjusting the learning rate does not help, you could check for that and use chainer in [debug mode](https://docs.chainer.org/en/stable/reference/core/debug.html?highlight=debug).