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Reproduce supervised results #4

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vinayak1 opened this issue Sep 15, 2022 · 4 comments
Closed

Reproduce supervised results #4

vinayak1 opened this issue Sep 15, 2022 · 4 comments
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question Further information is requested

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@vinayak1
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vinayak1 commented Sep 15, 2022

Hi, I'm trying to reproduce the results for the repo for the supervised training and am using the following environment:

V100 (p3.2xlage)
Transformers 4.2.1
PyTorch 1.12
CUDA Version: 11.3

When using these settings I get the following results:

Bert-base-uncased
------ test ------
| STS12 | STS13 | STS14 | STS15 | STS16 | STSBenchmark | SICKRelatedness | Avg. |
| 74.46 | 83.81 | 79.25 | 86.02 | 81.07 | 84.00 | 80.65 | 81.32 |

Roberta-base
------ test ------
| STS12 | STS13 | STS14 | STS15 | STS16 | STSBenchmark | SICKRelatedness | Avg. |
| 76.23 | 86.07 | 80.71 | 86.72 | 83.32 | 85.95 | 80.24 | 82.75 |

It looks like the results are slightly off compared to the reported ones, can you please share the Pytorch and Cuda versions used for training?

Thanks!

@YJiangcm
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YJiangcm commented Sep 21, 2022

Hi, these are the Pytorch and Cuda versions we use:
Nvidia RTX 3090Ti GPUs
Transformers 4.2.1
PyTorch 1.10
CUDA Version: 11.4

Results can vary based on different hardware/software.

@vinayak1
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Thanks!

@azareln
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azareln commented Nov 3, 2022

Are you able to release the checkpoints for sup-PromCSE-RoBERTa-base? I cannot reproduce results due to hardware differences I presume. Thanks

@YJiangcm
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Hi, the checkpoint for sup-PromCSE-RoBERTa-base has been uploaded to Huggingface (https://huggingface.co/YuxinJiang/sup-promcse-roberta-base). I hope this helps you :)

@YJiangcm YJiangcm added the question Further information is requested label Apr 4, 2023
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