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ModelZoo
bert-large_oneflow
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dfc186ee
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dfc186ee
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Apr 25, 2023
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yuguo
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@@ -50,17 +50,17 @@ train.dist.pipeline_parallel_size = 1
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@@ -50,17 +50,17 @@ train.dist.pipeline_parallel_size = 1
cd libai
cd libai
bash tools/train.sh tools/train_net.py configs/bert_large_pretrain.py 4
bash tools/train.sh tools/train_net.py configs/bert_large_pretrain.py 4
###
性能和收敛性
###
精度
训练数据:
[
https://oneflow-static.oss-cn-beijing.aliyuncs.com/ci-files/dataset/libai/gpt_dataset
](
链接
)
训练数据:
[
https://oneflow-static.oss-cn-beijing.aliyuncs.com/ci-files/dataset/libai/gpt_dataset
](
链接
)
使用的GPGPU:4张DCU-Z100-16G。
使用的GPGPU:4张DCU-Z100-16G。
模型
性能及收敛性
:
模型
精度
:
| 卡数 | 分布式工具 |
性能 |
收敛性 |
| 卡数 | 分布式工具 | 收敛性 |
| :--: | :--------: |
:--------------: |
:----------------------------------------------------------: |
| :--: | :--------: | :----------------------------------------------------------: |
| 4 | Libai-main |
161.23 samples/s |
total_loss: 6.555 lm_loss: 5.973 sop_loss: 0.583/10000 iters |
| 4 | Libai-main | total_loss: 6.555 lm_loss: 5.973 sop_loss: 0.583/10000 iters |
## 参考
## 参考
*
https://libai.readthedocs.io/en/latest/tutorials/get_started/quick_run.html
*
https://libai.readthedocs.io/en/latest/tutorials/get_started/quick_run.html
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