zyh3826

Results 19 issues of zyh3826

Does there have any example to remove duplicate docs using MinHash?

help wanted
question

**What is your question?** like question #3360 [my dataset](https://drive.google.com/file/d/1P3UcuCrO6FU_NKv4E59goDzqQP36CxHD/view?usp=sharing) # Steps/Code to reproduce ```python import numpy as np from cuml import TSNE vectors = np.load(your_path) tsne = TSNE(n_components=2, init='random', random_state=42,...

bug
inactive-30d

batch size: 32 GPU: RTX 2080Ti torch: 1.7.1 其他都一样,参数用的默认params.json里的,能分享一下你的超参嘛,谢谢

I use this command to compile from the main page: ```bash g++ -std=c++11 -O3 src/sptree.cpp src/tsne.cpp src/nbodyfft.cpp -o bin/fast_tsne -pthread -lfftw3 -lm ``` but got a warning, and the program...

### Affected Operating Systems * Linux ### Affected py-lmdb Version 1.3.0/1.0.0 ### py-lmdb Installation Method sudo pip install lmdb ### Machine "free -m" output ``` total used free shared buff/cache...

我用两块RTX 2080Ti还是会OOM,还有用你们的代码使用三块gpu必报错,多gpu混合精度也会报错,估计是pytorch-lightning的原因?没用过这个库

直接执行lcqmc_bert.sh结果如下 ![image](https://user-images.githubusercontent.com/31238754/119425909-cffab900-bd3a-11eb-99f4-46ea3d243af1.png) 按照论文中先微调bert,再frozen bert训练田字格-CNN,最后两者一起训练,得出的结果还不如单纯bert高 调参后的bert结果 ![image](https://user-images.githubusercontent.com/31238754/119426069-28ca5180-bd3b-11eb-9057-76912677fe97.png) frozen bert训练田字格-CNN的结果: ![image](https://user-images.githubusercontent.com/31238754/119426143-43042f80-bd3b-11eb-9697-beb4a5065ee5.png) 两者一起训练结果: ![image](https://user-images.githubusercontent.com/31238754/119426183-5616ff80-bd3b-11eb-9a6d-8ca3a884152d.png) 除了bert经过了调参所有参数均是源码中的参数

config = RoFormerTokenizer.from_pretrained(XXX) ModuleNotFoundError: No module named 'transformers.models.imagegpt' 使用transformers的没有错误

博主,你的结果咋样啊,我用你的参数,验证集上f1一直在0.2左右,这也太低了吧

**Describe the bug** I use this command, `deepspeed --include localhost:"1" finetune_wav2vec2_for_ASR.py`, to finetune a Wav2Vec2 model using transformers trainer, it works well, but when change `--include` to `--include localhost:"1,3"`, everything...

bug
compression