Comments (3)
richarddwang
commented on May 23, 2024
2
This is because huggingface's tokenizer internally records maximum length its corresponding model but not itself can deal with, and check the length when tokenize. So this should be able to be ignored.
As how to avoid it, you can ask on Huggingface's forum.
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richarddwang
commented on May 23, 2024
1
Yes, no more than max length, which is 128 under small scale.
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PhilipMay
commented on May 23, 2024
So this should be able to be ignored.
So the batches you create are not more than the 512 token in length - right?
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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
- 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
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- 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
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- Use different tokenizer (and specify special tokens) HOT 1
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- Relative importance of different "tricks" in README HOT 1
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- Custom Dataset
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