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The criteo training set(http://labs.criteo.com/2014/02/kaggle-display-advertising-challenge-dataset/) has 45,000,000 examples. I found many github deepfm codes only sample small amount of training exa…
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Hello,
I'm running some training with the Kaggle Criteo dataset, and here is the command I ran:
```
torchx run -s local_cwd dist.ddp -j 1x1 --script dlrm_main.py --\
--in_memory_binary_crite…
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About Criteo Dataset, how to preprocessing the dataset when you experimented. I try to build a model for Criteo Dataset, how to deal with the dataset in the form of filed-wise format. Thank you!
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Hello
I recently read your DLRM paper and decided to try running the code myself. However, I'm a silly teenager who finds this field quite challenging.
I've tried training the model using this …
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Please cite the following two papers in your paper for FuxiCTR and BARS. I found you missed them.
Jieming Zhu, Jinyang Liu, Shuai Yang, Qi Zhang, Xiuqiang He. [Open Benchmarking for Click-Through R…
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I'm having trouble training a DLRM model with 4 GPUs. When running with full dataset , the model achieves a auc of 0.79 after 12 hours of training with 1 GPU, but the auc only reaches 0.76 when I use …
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Hi. I read your paper and find your ideas interesting. Thank you for opening your source code.
However, when I try to run the Oracle Cacher, I cannot find an indication on how to get the `kaggle_cr…
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What about adding a performance benchmark (by AUC and logloss) over datasets such as Criteo?
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自己在本地跑dcn模型https://github.com/PaddlePaddle/models/tree/develop/PaddleRec/ctr/dcn可以成功运行,但是在云端服务器运行时,跑不通,第一次用的百度的aistudio,第二次租了其他的服务器,都是哦linux 环境。这是第二次的输出日志。还请百度的小哥哥帮我看看。本地跑的话太慢了,完全无法调试模型。前面有我发的第一次在aist…
LBSIX updated
3 years ago
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(python3-venv) aarch64_sh ~> cm run script --tags=run-mlperf,inference,_find-performance,_full,_r4.1 --model=dlrm_v2-99 --implementation=reference --framework=pytorch --category=datacenter…