Comments (1)
Hi Gangwei,
Thank you for your interest in our work.
The missing mask can be found in the "utils.model.mask". I have also made updates to the code so that you can run the system.
Please don't hesitate to post if you have any further questions.
from continuallm.
Related Issues (11)
- Trouble achieving results in paper
- When applying DAS to CLIP, there is an issue where the gradient becomes NaN.
- can ContinualLM post pre-train GPT models? HOT 1
- Requirements installation error HOT 1
- can ContinalLM learn new words from real world?
- Ckpt public time HOT 1
- question about virtual parameter HOT 1
- Can't reproduce the results in DAS HOT 1
- TypeError: __init__() got an unexpected keyword argument 'location_key' HOT 4
- low accuracy
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from continuallm.