Comments (2)
zhuchen03
commented on May 26, 2024
Sorry I didn't notice your post. It shouldn't. I modified the code to finish the ascent steps in the forward function, so the K gradient ascent step will be executed for each minibatch while accumulating gradients (the FreeLB algorithm), before we execute the gradient ascent steps on the next minibatch.
I used gradient accumulation most of the time.
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hitvoice
commented on May 26, 2024
I see. Thanks for your reply!
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Related Issues (18)
- Could you add some comments in the code？ HOT 1
- FreeLB didn't use the original training samples? HOT 2
- Reproducing results from the paper with roberta using fairseq HOT 5
- Having issues with training RoBERTa. Loss not decreasing HOT 2
- the "dp_mask" problem HOT 4
- A few questions about FreeLB and dropout HOT 2
- API Key HOT 1
- 词向量空间的不变性
- Errors generated during data preprocessing HOT 2
- Some confusion about the detach operation and embeds_init
- NaN encounted if FreeLB is used at the beginning of finetune stage
- FreeLB-RoBERTa within HuggingFace's transformers? HOT 1
- 'AlbertForSequenceClassification' object has no attribute 'encoder' HOT 2
- Regarding the release of FreeLB ^_^
- ImportError: cannot import name 'glue_criterion_metrics' from 'transformers' HOT 6
- Does anyone meet the Nan error during the end epochs of training? HOT 5
- Would you please release the hyper-parameters for FreeLB based on ALBERT(hugging-face) HOT 6
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