Comments (2)
Hi @InfinityBox
We experiment with different numbers(Table 2) and found 64 and 8 are sufficient for first and second stage.
The grouping number should decrease as going deeper, in this way, we could group small segments into larger ones
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Thanks for your quick response!
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Related Issues (20)
- Minor error in Apex install
- Inconsistent Results from the paper
- Parallel training hangs in reduce_tensor method HOT 1
- Learnable group tokens fine-tuning on out-of-domain datasets HOT 1
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- Inquiry about the Grouping Blocks HOT 2
- error when use single node and multi gpu for training HOT 5
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- Visualization of Concepts Learnt by Group Tokens
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