Comments (1)
I found the key problem, it is ‘enable_hybrid_engine’. When I disabel 'hybrid_engine' every thing goes fine.
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Related Issues (20)
- Something wrong at step1_supervised_finetuning/main.py
- deeepspeed chat 支持pipline 并行吗?
- 运行e2e_rlhf时报错
- Question: Why did you implemented LoRA on your hand instead of using peft? HOT 1
- [Discussion] Can anyone show the performance on every step with any dataset
- Mistral and Orca Training
- async_pipeline is not exposed in the library HOT 1
- Invalidate trace cache @ step 0: expected module 0, but got module 6
- Step3 hanging for a long time HOT 1
- torch.distributed.DistBackendError: NCCL error in: ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1333, remote process exited or there was a network error, NCCL version 2.18.6 HOT 3
- running gpt2-xl/test_tune.sh fails - ParquetConfig.__init__() got an unexpected keyword argument 'token'
- Question: Why not padding to the same sequence length within the batch during the sft training phase?
- How to resume Deepspeed-Chat RLHF step-3 training?
- remove redundant code
- The inaccurate flop results after several rounds HOT 1
- Throughput should be `num_queries/latency` as opposed to `num_clients/latency`?
- Codellama finetune
- RLHF problems when using Qwen model HOT 1
- zero3 and enable hybrid engine are not suitable for llama2, how to solve it? HOT 3
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