Comments (2)
PhilipMay
commented on May 22, 2024
1
feel free to tag me if you get new findings.
@richarddwang yes - this fixes it for me: #5 (comment)
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richarddwang
commented on May 22, 2024
There is also a discussion about multi gpu #5
And current conclusion is we haven't found any solution for the multi-gpu problem.
Besides this, I am working on a new repo which implements ELECTRA and is based on PytorchLightning. Although I have succeed on using sharded training (improved Multi-GPU training), but I am still writing code and haven't get results to validate it. I guess release might be after several months.
Anyway, I'll close the issue to keep only one issue about multi-GPU, feel free to tag me if you get new findings.
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Related Issues (20)
- How do I extract and save the discriminator from the checkpoint? HOT 3
- GPU utilization falls back to 0% when training with multiple GPUs HOT 5
- Sequence length too long for `ELECTRADataProcessor`. HOT 3
- Small typo in the README.md HOT 1
- How do I continue language model training? HOT 3
- How can I pretrain ELECTRA starting from weights from google ? HOT 9
- Is multi_task.py in a working state and if so how should one use it? HOT 1
- Is it possible to perform the fine-tuning within the HuggingFace library? HOT 3
- How to load the cached data from ELECTRAProcessor? HOT 1
- 如何多卡并行训练模型（How to train multi-card models in parallel？） HOT 1
- Training time and ++ version HOT 1
- Pyarrow dataloading issue HOT 2
- Use different tokenizer (and specify special tokens) HOT 1
- SST-2 accuracy is 50% after finetuning HOT 10
- Relative importance of different "tricks" in README HOT 1
- NameError: name 'sort_by_run' is not defined HOT 2
- Custom Dataset
- License info is required
- Python version
- Restarting from previous checkpoint
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