if self.is_deepspeed_enabled: AttributeError: 'Seq2SeqTrainer' object has no attribute 'is_deepspeed_enabled' 0%|▌ | 10/3000 [00:47<3:58:43, 4.79s/it] ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 23216) of binary: /home/chenjk/minic...
Security Insights Additional navigation options New issue Alionismeopened this issueJul 6, 2023· 3 comments AlionismecommentedJul 6, 2023 Is your feature request related to a problem? Please describe. 训练固定10/3000报错 Solutions 高效参数微调报错 ...
@i4never, zero stage 3 is a form of data parallelism, and not model parallelism. DeepSpeed does not implement model parallelism but is compatible with existing forms like tensor slicing and pipeline parallelism. However, zero stage 3 should reduce per-gpu memory consumption of model parameters and...
During Step 2 - Reward Model of DeepSpeed-Chat, an AssertionError occurs in the backward process for ZeRO stage 3 if gradient_checkpointing is enabled, while it works if gradient_checkpointing is disabled Log output Traceback (most recent call last): File"run_bloom.py", line 49,in<module>...
if self.is_deepspeed_enabled: AttributeError: 'Seq2SeqTrainer' object has no attribute 'is_deepspeed_enabled' Expected Behavior No response Steps To Reproduce conda activate py310 bash train.sh Environment -OS:win11-Python:3.10-Transformers:4.30.2-PyTorch:2.0.0-CUDA Support:True ...