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glm: add 2x8 statistics #216

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Aug 29, 2023
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glm: add 2x8 statistics #216

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3 changes: 2 additions & 1 deletion training/nvidia/glm-pytorch/README.md
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Expand Up @@ -46,5 +46,6 @@
| A100单机8卡（1x8） | fp32 | / | 2763 | 36.5 | 42.4 | 42.4 | 0.808 | 33.0/40.0 | 0.035 |
| A100单机8卡（1x8） | fp32 | bs=16, lr=1e-05 | 2688 | 37.4 | 43.5 | 43.5 | 0.801 | 39.5/40.0 | 0.035 |
| A100单机单卡（1x1） | fp32 | bs=16, lr=1e-05 | 7695 | 4.2 | 5.5 | 5.5 | | 35.0/40.0 | 0.036 |
| A100两机16卡（2x8） | fp32 | bs=8, lr=1e-05 | 1409 | 72.7 | 84.7 | 84.9 | 0.804 | 31.0/40.0 | 0.036 |

> 注：使用GLMForMultiTokenCloze进行forward计算你，得到MFU=0.04, 使用GLMModel模型forward计算，得到MFU=0.08. 本模型的MFU值偏低是由于原始模型的MFU较低。
> 注：使用GLMForMultiTokenCloze进行forward计算，得到MFU=0.04, 使用GLMModel模型forward计算，得到MFU=0.08. 本模型的MFU值偏低是由于原始模型的MFU较低。