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License: Apache License 2.0
我们训练复现的模型的结果和baseline的结果差挺大的,请问超参和bash里面提供的一致吗?
请问比赛最后有举行交流会吗?想要学习一下其他思路
你好,请问baseline模型是用bert在ctc训练集上训练得到的吗?baseline模型在测试集或验证集效果怎样呢?感谢。
哥们哥们,求一个paper地址
最近才看到这个中文的纠错比赛。已经错过了报名参赛时间。官网也打不开。这里想问下能否提供测试集和验证集?
我按照要求将数据集用提供的segement.py进行分词并处理成了gector文件,然后使用ctc2021_baseline模型进行训练,其他的参数未调整,但是在训练第一轮的时候,显示的Accuracy会从0.4左右开始很快就达到0.94,在验证集上也达到了0.96,但是在训练集上重新进行推理得到的结果很差,我使用其他的数据集,其他的预训练语言模型,都会出现这样的情况,请问是什么原因造成的?
例如:
错误句子: Reddit:喧布,
正确句子: Reddit:宣布,
那么索引应该是
7,别字,
还是
2,别字,
?
按照要求的格式提交了结果,但是得分为-0.999999,
查看scoring output log,显示日志为:
======= Set 1 (Qua): score(set1_score)=ERROR =======
list index out of range
I would like to ask the author encountered “FileNotFoundError: [Errno 2] No such file or directory: 'qualification_input.txt.output'”? If met, can you tell me how to solve it?
pid=00265, 87, 别字, 象, 像, 87, 别字, 象, 还,
assert len(error_set) == len(det_set) == len(cor_set)
在此背景下:由于检错集'det_set'存在重复(pid, loc, wrong),所以三个集合数目不一致。
请问链接里提供的模型权重是使用什么预训练模型训练的呀?bert-base-chinese吗?
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