AttributeError： 'DeepSpeedEngine' object has no attribute 'model'，

[lovychen]

https://github.com/microsoft/DeepSpeedExamples/blob/957ae3141946daf9a6bc5731e261032a13a82f05/applications/DeepSpeed-Chat/training/step1_supervised_finetuning/main.py#L367

just train one epoch，i got this error ，how to solve the problem ？

Running training Evaluating perplexity, Epoch 0/16 Using past_key_values as a tuple is deprecated and will be removed in v4.45. Please use an appropriate Cache class (https://huggingface.co/docs/transformers/v4.41.3/en/interna Using past_key_values as a tuple is deprecated and will be removed in v4.45. Please use an appropriate Cache class (https://huggingface.co/docs/transformers/v4.41.3/en/interna Using past_key_values as a tuple is deprecated and will be removed in v4.45. Please use an appropriate Cache class (https://huggingface.co/docs/transformers/v4.41.3/en/interna Using past_key_values as a tuple is deprecated and will be removed in v4.45. Please use an appropriate Cache class (https://huggingface.co/docs/transformers/v4.41.3/en/interna ppl: 123.02639770507812, loss: 4.812398910522461 Beginning of Epoch 1/16, Total Micro Batches 45280 [2024-09-01 11:54:46,550] [INFO] [loss_scaler.py:190:update_scale] [deepspeed] OVERFLOW! Rank 0 Skipping step. Attempted loss scale: 65536, but hysteresis is 2. Reducing hysteresi rank0: Traceback (most recent call last): rank0: File "/deepspeed/DeepSpeedExamples/applications/DeepSpeed-Chat/main.py", line 394, in

rank0: File "deepspeed/DeepSpeedExamples/applications/DeepSpeed-Chat/main.py", line 367, in main rank0: print_throughput(model.model, args, end - start,

rank0: File "anaconda3/envs/deepspeed/lib/python3.12/site-packages/deepspeed/runtime/engine.py", line 517, in getattr rank0: raise AttributeError(f"'{type(self).name}' object has no attribute '{name}'") rank0: AttributeError: 'DeepSpeedEngine' object has no attribute 'model'. Did you mean: 'module'?

### Tasks

[lovychen]

it works for me , set model.model to model.module ; line : print_throughput(model.module, args, end - start,args.global_rank)