CogQA

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Bumps [ujson](https://github.com/ultrajson/ultrajson) from 1.35 to 5.4.0. Release notes Sourced from ujson's releases. 5.4.0 Added Add support for arbitrary size integers (#548) @​JustAnotherArchivist Fixed CVE-2022-31116: Replace wchar_t string decoding implementation with...

dependabot[bot]

model1 = BertForMultiHopQuestionAnswering.from_pretrained(BERT_MODEL, cache_dir=PYTORCH_PRETRAINED_BERT_CACHE / 'distributed_{}'.format(-1))

2

Model name 'bert-base-uncased' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, bert-base-multilingual-cased, bert-base-chinese). We assumed 'https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased.tar.gz' was a path or url but couldn't find any file...

ShaoaAllen

作者老师您好！再次冒昧打扰了！我现在是24g显存的显卡，但是内存只有32g，有条件加到64g。 目前sys1和sys2的训练速度大概在5-6小时，请问加内存可以加快速度吗？

ShaoaAllen

作者老师您好！有个bug我刚开始复现的时候就出现了，后来跑着跑着自己没了，现在换了模型又出现了。 Traceback (most recent call last): File "/home/shaoai/CogQA/train.py", line 337, in fire.Fire(main) File "/home/shaoai/anaconda3/envs/mypytorch/lib/python3.6/site-packages/fire/core.py", line 127, in Fire component_trace = _Fire(component, args, context, name) File "/home/shaoai/anaconda3/envs/mypytorch/lib/python3.6/site-packages/fire/core.py", line 366, in _Fire...

ShaoaAllen

将bert换成albert时，加载输入数据时出了个错误

2

作者老师您好！我在改进代码模型的时候尝试将bert换成albert 我把 BERT_MODEL = 'bert-base-uncased' tokenizer = BertTokenizer.from_pretrained(BERT_MODEL, do_lower_case=True) 换成了 tokenizer = BertTokenizer.from_pretrained("./albert_base") BERT_MODEL = BertModel.from_pretrained("./albert_base") 然后报错： File "train.py", line 158, in main bundles.append(convert_question_to_samples_bundle(tokenizer, data)) File "/home/shao/CogQA/data.py", line 187, in...

ShaoaAllen

sem[x,Q,clues]在系统一和系统二中的作用

5

大佬您好，我看到sem[x,Q,clues]在您论文中的系统一和系统二都有体现，想明白sem是什么意思？具体体现在： 1. 系统一--对于答案节点x, Para[x]可能丢失。因此不提取跨度,而是基于”句子A”部分来计算sem[x,Q,clues]； 2. 系统二：为了完全理解实体x和问题Q之间的关系,仅仅通过分析sem[x,Q,clues]远远不够； 请问可以解释下这两句话的含义吗？ (我之前以为工作的流程是:通过bert抽取得到下一跳实体，再由下一跳实体在gnn中游走推理，进而再传给bert，但是发现多了个sem) 希望自己能够表述清楚~·······································`·

ditingdapeng

dump.rdb

4

Hi, Why didn't I find this file “dump.rdb”. Thx u ve much.

bultiful

RuntimeError: CUDA error: an illegal memory access was encountered

12

In the process of train, encountered such a mistake, where is the problem? "RuntimeError: CUDA error: an illegal memory access was encountered"

ditingdapeng

Just curious, is it common practice to add extra embedding to BERT but keep using original encoder parameters?

Vimos

1024-program