DeepSpeedExamples
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step3 answer is not correct
setting as follow: disable HE (HE + zero2 occur error) pp_epochs=1 num_train_epochs=1 disable_actor_dropout per_device_train_batch_size and per_device_mini_train_batch_size are 2
actor loss
inference demo:
while actor_ema seems normal but it's effect is same with sft model
I met the same error. The SFT model trained in step1 seems to be normal and effective in evaluation, but in step 3 it generates highly repetitive results in inference stage. I have found that when you disable the "enable_hybrid_engine", the error will be solved. This error may appear because the bug in hybrid engine.
Mark
I met the same error, and I found that the ema model has the same weight as my SFT model while actor model saved well with different weights I guess thats why it's effect is same with sft model...
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Mark