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View Code? Open in Web Editor NEWCINO: Pre-trained Language Models for Chinese Minority (少数民族语言预训练模型)
Home Page: http://cino.hfl-rc.com
License: Apache License 2.0
CINO: Pre-trained Language Models for Chinese Minority (少数民族语言预训练模型)
Home Page: http://cino.hfl-rc.com
License: Apache License 2.0
你好,与汉语不同,民族语言的字是由不同的部件构成的,请问对于民族语言做了哪些预处理呢?
比如藏文是按照字丁(单独编码)、音节还是其他的文本粒度为单位进行建模学习呢?
请问用来预训练的少数民族语言的规模有多大?大致是什么类型?古代还是现代?
作者,您好!
我按照环境文档要求,配置了环境变量,在您开源的例子:TNCC数据集上进行finetuning实验复现。 由于电脑配置限制,仅调小了batch_size的值,其余不变。出现以下问题:
Traceback (most recent call last):
File "G:/少数/CINO/Chinese-Minority-PLM-main/examples/TNCC/finetune/run_finetune.py", line 221, in
main()
File "G:/少数/CINO/Chinese-Minority-PLM-main/examples/TNCC/finetune/run_finetune.py", line 218, in main
trainer.run_finetune()
File "G:/少数/CINO/Chinese-Minority-PLM-main/examples/TNCC/finetune/run_finetune.py", line 200, in run_finetune
self.train(model, train_loader, dev_loader, optimizer, schedule)
File "G:/少数/CINO/Chinese-Minority-PLM-main/examples/TNCC/finetune/run_finetune.py", line 169, in train
dev_true, dev_pred = self.predict(model, valid_loader)
File "G:/少数/CINO/Chinese-Minority-PLM-main/examples/TNCC/finetune/run_finetune.py", line 137, in predict
test_true.extend(y.squeeze().cpu().numpy().tolist())
TypeError: 'int' object is not iterable
Process finished with exit code 1
您能看看是什么原因吗?
論文入面好似冇提到預訓練資料集係乜嘢
您好!我是一名研究NLP的学生,请问CINO项目的源代码或者训练语料有公开吗?
你好,请问为什么说Wiki-Chinese-Minority实验中,除了中文以外的语种是zero-shot测试呢,这个预训练模型不是也包括了那些少数民族语言的么,不应该是finetune么
what is the difference between multilingual model and cross-lingual model
您好,在复原例子的时候,确保了版本与您一样,但在终端运行的时候,出现了如下错误,暂时无法得到有效解决,请问是否可以帮忙看一下问题所在,十分打扰!
python run_finetune.py --params cino-params.json
Traceback (most recent call last):
File "run_finetune.py", line 188, in
main()
File "run_finetune.py", line 182, in main
config = CINO_FT_Configer(load(args.hparam))
AttributeError: 'Namespace' object has no attribute 'hparam'
作者,您好!
我想请问下以下两点:
(1)该预训练模型所包含的语言是只有以下几种,还是涵盖了先前xlm-r的上百种语言?
Chinese,中文(zh)Tibetan,藏语(bo)Mongolian (Uighur form),蒙语(mn)Uyghur,维吾尔语(ug)
Kazakh (Arabic form),哈萨克语(kk)Korean,朝鲜语(ko)Zhuang,壮语Cantonese,粤语(yue)
(2)关于少数民族语数据集预训练的数据量大小是多少?
期待您的回复。
the line 95 in wcm_zeroshot.py need to be modify, the test_pred has the wrong shape
Can the CMNews dataset be open sourced?
您好,请教一下如何在模型的基础上继续用某种语言进行训练,比如自有的中文、藏文或者蒙文数据?
"model_finetune_params":"model/best_cino.pth",
不知道是我少下载了么
求~ best_cino.pth 文件在哪? 还是自己构建的
什么时候会公布训练技术细节呢?
Some weights of XLMRobertaModel were not initialized from the model checkpoint at model/ and are newly initialized: ['roberta.pooler.dense.weight', 'roberta.pooler.dense.bias']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Traceback (most recent call last):
File "tncc_finetune.py", line 175, in
main()
File "tncc_finetune.py", line 172, in main
trainer.run_finetune()
File "tncc_finetune.py", line 155, in run_finetune
self.train(model, train_loader, dev_loader, optimizer, schedule)
File "tncc_finetune.py", line 120, in train
loss.backward()
File "/data/anbo/anaconda3/envs/transformer/lib/python3.7/site-packages/torch/tensor.py", line 221, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/data/anbo/anaconda3/envs/transformer/lib/python3.7/site-packages/torch/autograd/init.py", line 132, in backward
allow_unreachable=True) # allow_unreachable flag
RuntimeError: CUDA error: device-side assert triggered
/pytorch/aten/src/THCUNN/ClassNLLCriterion.cu:108: cunn_ClassNLLCriterion_updateOutput_kernel: block: [0,0,0], thread: [1,0,0] Assertion t >= 0 && t < n_classes
failed.
torch等版本的要求也是一致的:
sacremoses==0.0.53
scikit-learn==0.24.2
scipy==1.7.3
sentencepiece==0.1.97
six @ file:///tmp/build/80754af9/six_1644875935023/work
threadpoolctl==3.1.0
tokenizers==0.8.1rc2
torch==1.7.1
torchaudio==0.12.1
torchvision==0.13.1
tqdm==4.64.1
transformers==3.1.0
请问怎么处理?
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