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PAI-Megatron-Patch llama3.1脚本128k上下文预训练速度慢 #410

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kkkeepgoing opened this issue Dec 30, 2024 · 0 comments

kkkeepgoing commented Dec 30, 2024 •

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实验设置：tp8pp2cp2，8卡4节点，global batch size 128
模型：llama-3.1-8b
一个iteration需要两个半小时
[2024-12-30 13:25:22] [2024-12-30 13:25:21] iteration 1/ 93 | consumed samples: 128 | elapsed time per iteration (ms): 9037407.9 | throughput per GPU (TFLOP/s/GPU): 14.6 | learning rate: 9.997433E-06 | global batch size: 128 | lm loss: 1.564099E+00 | loss scale: 1.0 | grad norm: 0.672 | number of skipped iterations: 0 | number of nan iterations: 0 |
请问这正常吗，是有什么针对长文本需要调整的参数吗？

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