neuraltalk
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training over new dataset
I am training it over new dataset. I am getting this error in save checkpoint
36/1850 batch done in 2.356s. at epoch 0.97. loss cost = 9.295156, reg cost = 0.000000, ppl2 = 4.59 (smooth 14.32)
evaluating val performance in batches of 100
Traceback (most recent call last):
File "driver.py", line 315, in
Well, i had the same problem. You can make the para 'logppl' and 'logppln' to a very little value, such as 0.0001 in the line 72,73 driver.py. That works for me.
Dear @goelankur7 , did you finally train your multimodal RNN model successfully? And could you test you own images on your multimodal RNN model?
hey @lebronze, I had this problem as well, and I use the "0.0001". It still doesn't work. Do you have any other fixes?
@agoel-cs @lebronze @infinity0a
how did you create the json
file of your own dataset like dataset_coco.json
file?