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zhegan27 avatar zhegan27 commented on May 27, 2024

Thanks for your interest in the code. In the leaderboard (https://visualcommonsense.com/leaderboard/), if you see Entry #18, there seems to be a third party running this code to reproduce the results.

Since you only have 1 gpu, please change the hyper-parameter "gradient_accumulation_steps" from 5 to 20, and have a try again. Let me know how this goes, and hopefully the performance can catch up.

from villa.

Tclz avatar Tclz commented on May 27, 2024

Thanks for your interest in the code. In the leaderboard (https://visualcommonsense.com/leaderboard/), if you see Entry #18, there seems to be a third party running this code to reproduce the results.

Since you only have 1 gpu, please change the hyper-parameter "gradient_accumulation_steps" from 5 to 20, and have a try again. Let me know how this goes, and hopefully the performance can catch up.

Thanks for your reply! I am trying to modify the configuration file and re-experiment, after which I will feed back the results.

from villa.

Tclz avatar Tclz commented on May 27, 2024

Hi, this strategy worked. After I adjusted the hyper-parameter, when the training level reached 90%, I got the following results.
88%|########7 | 7000/8000 [15:35:25<2:10:08, 7.81s/it][1,0]:09/14/2021 18:04:58 - INFO - main - ============Step 7000=============
[1,0]:09/14/2021 18:04:58 - INFO - main - 4481024 examples trained at 79 ex/s
[1,0]:09/14/2021 18:04:58 - INFO - main - ===========================================
[1,0]: [1,0]:09/14/2021 18:04:58 - INFO - main - start running validation...
[1,0]: [[[[1,0]:09/14/2021 18:10:05 - INFO - main - validation finished in 307 seconds, score_qa: 75.16 score_qar: 78.46 score: 59.18 1,0]:
89%|########8 | 7100/8000 [15:53:25<1:57:14, 7.82s/it][1,0]:09/14/2021 18:22:58 - INFO - main - ============Step 7100=============
Thanks for your solution!

from villa.

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