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you know , one of the intense pleasures of travel and one of the delights of ethnographic research is the opportunity to live amongst those who have not forgotten the old ways , who still feel their past in the wind , touch it in stones polished by rain , taste it in the bitter leaves of plants . ||| you know , one of the great <UNK> travel in travel , and one of the pleasure of the <UNK> research is to live with the people who remember remember the old days , they can feel their past , they <UNK> the the <UNK> of the plants .
just to know that jaguar shamans still journey beyond the milky way , or the myths of the inuit elders still resonate with meaning , or that in the himalaya , the buddhists still pursue the breath of the dharma , is to really remember the central revelation of anthropology , and that is the idea that the world in which we live does not exist in some absolute sense , but is just one model of reality , the consequence of one particular set of adaptive choices that our lineage made , albeit successfully , many generations ago . ||| just the know that <UNK> still still beyond the milky way , or the importance of the council of the inuit , is full of the the the the the the the the world , which is the the world that the world that we 're in ,
and of course , we all share the same adaptive imperatives . ||| and of course , we all share the same <UNK> .
we 're all born . we all bring our children into the world . ||| we 're all born . we 're bringing kids to the world .
we go through initiation rites . ||| we go through <UNK> .
And the test_results11.txt (when the BLEU dropped) is like:
you know , one of the intense pleasures of travel and one of the delights of ethnographic research is the opportunity to live amongst those who have not forgotten the old ways , who still feel their past in the wind , touch it in stones polished by rain , taste it in the bitter leaves of plants . ||| you
just to know that jaguar shamans still journey beyond the milky way , or the myths of the inuit elders still resonate with meaning , or that in the himalaya , the buddhists still pursue the breath of the dharma , is to really remember the central revelation of anthropology , and that is the idea that the world in which we live does not exist in some absolute sense , but is just one model of reality , the consequence of one particular set of adaptive choices that our lineage made , albeit successfully , many generations ago . ||| just
and of course , we all share the same adaptive imperatives . ||| and
we 're all born . we all bring our children into the world . ||| we
we go through initiation rites . ||| we
I guess it's something to do with the lambda value that changed, but I have no idea right now.
I've only modified configs to set batch_size as 32 (from 64), and using python v3.5.2 with tensorflow-gpu v1.8.0.
Could you guess any reason why? Thanks.
The text was updated successfully, but these errors were encountered:
Your lambdas of epoch 11 is [0.1, 0.0, 0.0], in that case, your generated sequence totally depends on your model during training, so it does make sense that your model will collapse.
Our initial lambdas is [0.04, 0.96, 0.0] (here). Your setting of lambdas is different from ours.
Hi, thanks for the comment.
I set the lambda as [0.04, 0.06, 0.0] as the README says.
Sorry for that I didn't understand what the initial lambda values mean when I first ran this code, which makes me not notice a trivial error like this..
I think the README needs to be fixed anyway.
Hi, thanks for the great work.
I've tried training an NMT model on IWSLT 14 with interpolation algorithm, (https://github.com/asyml/texar/tree/master/examples/seq2seq_exposure_bias) but while training I found that the BLEU suddenly dropped to 0.0000 at about 11 epoch.
Below is the training log I ran into:
And the test_results10.txt is like:
And the test_results11.txt (when the BLEU dropped) is like:
I guess it's something to do with the lambda value that changed, but I have no idea right now.
I've only modified configs to set batch_size as 32 (from 64), and using python v3.5.2 with tensorflow-gpu v1.8.0.
Could you guess any reason why? Thanks.
The text was updated successfully, but these errors were encountered: