Comments (2)
jingtaozhan
commented on August 22, 2024
It is a simple trick I used. Some inappropriate hyperparameters may trigger `outofmemory' error during training. Therefore, this code requires the input to have the max sequence length at the beginning of training. Therefore, if the batch size is too big or max seq length is too big, the error will be triggered from the beginning and I can easily know.
You can also delete this code.
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ari9dam
commented on August 22, 2024
I see. Thanks for the explanation.
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Related Issues (20)
- about the length of tokens HOT 2
- Questions about Training pipeline HOT 9
- Evaluatation on test passage dataset HOT 1
- msmarco-docs.tsv 的文件格式
- Issue in importing RobertaPreTrainedModel during STAR inference
- import error when do STAR inference HOT 2
- cannot find trained_models HOT 1
- RobertaDot_NLL_LN class not defined? HOT 5
- Reproduce results HOT 2
- Can not open link of warmup model as ANCE HOT 3
- keyError of rankdict HOT 3
- The warmup model for the doc datasat HOT 9
- download_data.sh
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