Hi @DaoTranbk and @HyTruongSon,
many thanks for open sourcing the repo for ViDeBERTa!
I'm very interested in the v3 pretraining of a DeBERTa model. In the current version of the pretraining code, I can see that the normal DeBERTa package is called:
|
CUDA_VISIBLE_DEVICES=1 python -m DeBERTa.apps.run \ |
However, the publicly available DeBERTa code does not yet include the support of Gradient Disentangled Embedding Sharing (GDES), see e.g.: microsoft/DeBERTa#93.
Did you modify the code to add support for GDES? I would highly be interested in that implementation.
Many thanks and cheers,
Stefan
Hi @DaoTranbk and @HyTruongSon,
many thanks for open sourcing the repo for ViDeBERTa!
I'm very interested in the v3 pretraining of a DeBERTa model. In the current version of the pretraining code, I can see that the normal DeBERTa package is called:
ViDeBERTa/pre-training/bash/pre-train_model.sh
Line 13 in 8270cce
However, the publicly available DeBERTa code does not yet include the support of Gradient Disentangled Embedding Sharing (GDES), see e.g.: microsoft/DeBERTa#93.
Did you modify the code to add support for GDES? I would highly be interested in that implementation.
Many thanks and cheers,
Stefan