bi-att-flow
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Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to ach...
HI, It's a little hard for me to understand the details of the code. Is there any document for the code? thanks!
in file model.py, _build_var_ema create and var_ema, and apply to all trainable variables, but it didn't use average to update the trainable variables. only in graph_handler.py, when load model from...
Hi there, when running `python -m basic.cli --mode train --noload --debug --finetune True` I get > 'word_vocab_size': 71939} 0%| | 0/2 [00:00
Is it possible to use both the CNN and SQuAD datasets to train BiDAF? If so, how?
I'm using the pre-trained model to get predictions for new questions on SQUAD dataset. For a paragraph of an article, I add questions that aren't necesarely answerable by the paragraph....
When training , we limit the paragraph length to 400 to train. But when testing, we use 740 as the paragraph length to test. Is it too amazing that the...
`aug` appears many times.. Thank you..
https://hastebin.com/elejasoqef.sql -- colored output `OS 14.04 bi-att-flow branch: Master script that produced the error: (master branch) https://github.com/alphaaurigae/bi-att-flow_bash BEGIN TRAINING SECTION 2.TRAINING # 2. Training The model has ~2.5M parameters. The...
I wrote this one https://github.com/alphaaurigae/bi-att-flow_bash Im on a netbook so having a hard time to test it till a testserver is setup - if anybody here could have a look...