Comments (4)
@YahooHu Hi, I met the same issue the first I run this code.
You may follow this hyper parameter given by the author.
- set precision
fp16
- change
--mid_dim
from800
to 512 - reduce
--max_source_length
to 512
This setting reduces the memory to about 20G on my A100 card.
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@zhaone just found there was change to mid_dim
. Thanks.
- Is this reducing the mid_dim of the MLP right? (reducing pretrained gpt mid_dim does not make sense)
- In table 2, there is Prefix(0.1%) setting. Does this uses
preseqlen = 10 (0.1%)
? or reduced some other part of the model (e.g. reducingmid_dim
) ? @XiangLi1999
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For XSUM, I think you need a GPU with a larger memory (e.g., > 32GB), otherwise, you need to train for very very long time. For table-to-text, I think it's fine.
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For XSUM, I use a Tesla A100 (40GB) to train, but still OOM. How can I solve this? @XiangLi1999
RuntimeError: CUDA out of memory. Tried to allocate 1.20 GiB (GPU 0; 39.59 GiB total capacity; 36.82 GiB already allocated; 261.50 MiB free; 37.90 GiB reserved in total by PyTorch)
Epoch 0: 0%| | 0/12784 [00:01<?, ?it/s]
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Related Issues (20)
- About the evaluation scripts HOT 4
- Understanding the Seq2Seq Encoder-Decoder Prefix Implementation HOT 11
- Use --init_shallow_word for seq2seq model HOT 1
- Hi, What do function names get_prompt_p3,5,7 ... mean?
- AttributeError: 'tuple' object has no attribute 'detach'
- Should've mentioned about "CRITICAL" modifications done in transformers source code
- notation typo in the paper
- question about the initialization experiment
- Is it necessary to arrange position ids between [prefix_len, prefix_len+seq_len) ? HOT 2
- control code is not used in PrefixTuning.get_prompt() HOT 3
- Data preparation step HOT 1
- Which version of the Transformers did you modify? v3.2.0? HOT 4
- How to do inference with prefix tuning?
- Question: Do we need a supervised dataset with X & Y pairs?
- This is a relatively bad project because some strange packages were used
- License
- Data issue and file location query HOT 1
- which paper is the first one to propose soft prompt
- Need to update many things in the repository.
- 这个代码有没有集成到流行的代码仓里面啊
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