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@ -233,7 +233,7 @@ Finally, we referenced [PALM](https://arxiv.org/abs/2204.02311) and employed Sha
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We use multi-GPU parallel training based on the Accelerate library, with the following start command:
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```bash
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --config configs/pretrain_config.yaml
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --train_config configs/pretrain_config.yaml --model_config configs/model_configs/7B.json
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```
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In some cases, you may need to specify the following parameters:
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@ -301,7 +301,7 @@ user: {prompt}\nsystem: {completion}</s>
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The startup command is basically the same as pre-training:
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```bash
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --config configs/instruct_config.yaml
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --train_config configs/instruct_config.yaml --model_config configs/model_configs/7B.json
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```
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In some cases, you may need to specify the following parameters:
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@ -223,7 +223,7 @@ Self Attention的计算,这对于性能有明显的提升,提升大约30%。
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### 预训练
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我们基于Accelerate库进行多GPU并行训练,启动命令如下
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```bash
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --config configs/pretrain_config.yaml
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --train_config configs/pretrain_config.yaml --model_config configs/model_configs/7B.json
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```
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某些情况下可能需要指定下列参数
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```
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@ -285,7 +285,7 @@ user: {prompt}\nsystem: {completion}</s>
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启动命令和预训练基本一致
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```bash
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --config configs/instruct_config.yaml
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accelerate launch --config_file configs/accelerate_configs/ds_stage1.yaml train_lm.py --train_config configs/instruct_config.yaml --model_config configs/model_configs/7B.json
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```
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某些情况下可能需要指定下列参数
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```
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