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Hi,
I am trying to run CharCNN on 4 GeForce GTX 1080.I am struggling with 2 problems.
1. The 4 GPUs seem to have unbalanced load.When I ran `nvidia-smi`,the result is shown as following
![image](ht…
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Python version: 2.7.6
Platform: Linux-3.16.0-77-generic-x86_64-with-Ubuntu-14.04-trusty
spaCy version: 2.0.0a17
Models: en, en_core_web_sm, xx_ent_wiki_sm
during training of model. does **charCN…
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Hi,
thank you for this awesome keras implementation! I just tried to run the code example and the model doesn't seem to converge. After 7 epochs, the loss is:
Loss: 1.38647970024. Accuracy: 0.250000…
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Hi,
Thanks for the very cool work! It looks like if you want to write a text_field_embedder, you can only take one input --- the batched tensor from the corresponding text field indexer.
If I wa…
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Dear Lime-Team,
for a university project I am working on text classification with the famous [Character-CNN](https://papers.nips.cc/paper/5782-character-level-convolutional-networks-for-text-class…
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In my experiment, char embeddings and word embeddings are gigaword_chn.all.a2b.uni.ite50.vec and ctb.50d.vec respectively, while bichar_emb is set to None. Other parameters take the default value…
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I have a character to integer mapping and a word to integer mapping. Similarly, I have two different character and word embedding layers.
In the model, I want to send one word index and a sequence …
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There are a couple of places where the charCNN layers are mentioned with only the case of encoder side, not decoder side:
https://github.com/harvardnlp/seq2seq-attn/blob/master/train.lua#L1079
https…
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when i user CharCNN torch implement, chinese alphabate list is too large. How do you solve this problem in tensorflow implement?
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Hi,
I've tried to reproduce Zhang et al.'s result using your code (downloaded and run as is) but obtain very low accuracy numbers (25%) not at all near the paper's reported numbers.
Have you mana…