Comments (6)
Edenzzzz
commented on May 24, 2024
Hi,
Could you try pulling the latest main branch? I don't have trouble running pp_size = 2.
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PurvangL
commented on May 24, 2024
Hi,
Unfortunately latest main branch doesn't have finetune.py file any more. Also, benchmark.py doesn't support huggingface dataset and it runs with random dataset.
I want to run it on mentioned dataset with llama2 model.
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Edenzzzz
commented on May 24, 2024
I think the booster should support any dataset. Have you tried replacing the random dataset with this?
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PurvangL
commented on May 24, 2024
I also did try replacing and modifying code. I still got None loss.
Did you get valid loss value?
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Edenzzzz
commented on May 24, 2024
Actually, in pp only the last stage computes loss, so this is not a bug. You'll need to do this to see the actual loss.
Also, there's a llama fine-tuning example in applications/Colossal-LLaMA. Lmk if this addresses your question!
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PurvangL
commented on May 24, 2024
Thanks @Edenzzzz . That's solves the issue I had.
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Related Issues (20)
- [BUG], please delete this item.
- [FEATURE]: cuda 12 support HOT 2
- [BUG]: ValueError: mutable default <class 'colossalai.legacy.tensor.distspec._DistSpec'> for field dist_attr is not allowed: use default_factory HOT 1
- [BUG]: AttributeError: type object 'ColoParameter' has no attribute 'from_torch_tensor' when run hybrid_parallel example HOT 3
- [FEATURE]: Support qwen2 model
- [BUG]: OOM when saving 70B model HOT 2
- [DOC]: What is the datasetset used to train the Colossal-Llama-2? HOT 1
- [BUG]: Running ColossalAI in H800 with torch 2.0 HOT 28
- [BUG]: pretraing llama2 using "gemini" plugin, can not resume from saved checkpoints HOT 1
- [BUG] [Shardformer]: Error in blip2 testing with half precision HOT 1
- [FEATURE]: support multiple (partial) backward passes for zero
- [BUG]: re-join str type error_msgs using `\n\t` in general_checkpoint_io
- how to wrapped multiple models with booster HOT 3
- [BUG]: ColossalMoE Train: AssertionError: Parameters are expected to have the same dtype `torch.bfloat16`, but got `torch.float32` HOT 1
- [PROPOSAL]: Fix potential github action smells
- Does colossalai support rocm?
- [BUG]: Slack link is invalid HOT 1
- [BUG]: GROK-1 does not support do_sample
- [BUG]: TypeError: _gen_python_code() got an unexpected keyword argument 'verbose' HOT 2
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