deepspeed --num_nodes=2 \ --hostfile=myhostfile \ src/train_bash.py \ --deepspeed deepspeed_config3.json \ --ddp_timeout 180000000 \ --stage pt \ --model_name_or_path /node6/models/Qwen1.5-72B-Chat \ --finetuning_type full \ --template qwen \ --dataset_dir cus_data/rainbow \...
"pin_memory": true }, "allgather_partitions": true, "allgather_bucket_size": 2e...
File"/myenv/lib/python3.10/site-packages/deepspeed/runtime/zero/stage3.py", line 697,in_create_fp16_partitions_with_defragmentation device_buffer = __class__.defragment(parameter_partitions) File"/myenv/lib/python3.10/site-packages/deepspeed/runtime/zero/stage3.py", line 529,indefragment ass...
bf16: true ddp_timeout: 180000000 eval val_size: 0.1 per_device_eval_batch_size: 1 eval_strategy: steps eval_steps: 100 这个fsdp的配置对应的就是DeepSpeed的stage3,可以用DeepSpeed试试看?还有,是不是训练文本很长啊 @xinyubai1209是我哪里设置有问题吗? 这个fsdp的配置对应的就是DeepSpeed的stage3,...
This can avoid timeout issues but will be slover. fves/Nol: Do you wish to optinize your seript with torch dynano?[yes/No]:Do you want to use DeepSpeed? [yes/No]: yes Do you want to specify a json file to a DeepSpeed config? [yes/No]: No What should be your DeepSpeed's ...
runtime deepspeed PipeLine 源码解析 basic concept 2 台机器(num_node=2),每个机器有 8 个 GPU(8 rank in each node) ,则有 2*8=16 个节点,可以开 16 个 进程(ranks_num=16) DDP 的最佳实践,每一个进程一张卡 以上述 DDP 的最佳实践为例,解释下述名词 world-size = 16 group default=1 rank =...
The following directories listed in your path were found to be non-existent: {PosixPath('(timeout 0.05 echo yuminstall >> /tmp/.pipe_yum_install_refresh_link || true) > /dev/null 2>&1')} The following directories listed in your path were found to be non-existent: {PosixPath('//10.1...
Reminder I have read the README and searched the existing issues. Reproduction model model_name_or_path: /home/ubuntu/Yi-1.5-34B method stage: pt do_train: true finetuning_type: freeze template: default ddp ddp_timeout: 180000000 deepspe...
antlr4-python3-runtime 4.8 anyio 4.2.0 appdirs 1.4.4 argon2-cffi 23.1.0 argon2-cffi-bindings 21.2.0 arrow 1.3.0 arxiv 2.1.0 asttokens 2.4.1 astunparse 1.6.3 async-lru 2.0.4 async-timeout 4.0.3 attrdict 2.0.1 attrs 23.1.0 auto_gptq 0.7.1 autoawq 0.2.6 autoawq_kernels 0.0....
Should distributed operations be checkedwhilerunningforerrors? This can avoid timeout issues but will be slower.[yes/NO]: yes 在遇到错误时,检查分布式操作,这个可以选择yes。 2. dynamo 配置 dynamo是一个 Python 级即时 (Just-In-Time,JIT) 编译器,旨在使未经修改的 PyTorch 程序运行得更快。