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View Code? Open in Web Editor NEWKoRean based BERT pre-trained models (KR-BERT) for Tensorflow and PyTorch
KoRean based BERT pre-trained models (KR-BERT) for Tensorflow and PyTorch
Thanks for making the models for sequence classification accessible to public!!
We wonder whether you still have the model weights for MLM training.
Specifically, the below part of the network when using transformers library:
(cls): BertOnlyMLMHead(
(predictions): BertLMPredictionHead(
(transform): BertPredictionHeadTransform(
(dense): Linear(in_features=768, out_features=768, bias=True)
(LayerNorm): LayerNorm((768,), eps=1e-12, elementwise_affine=True)
)
(decoder): Linear(in_features=768, out_features=16424, bias=True)
)
)
Hello,
First of all, thank you for publishing this repository. Is there any published paper describing your work? I mean a paper in some journal or conference proceedings. This information would help to understand your work a lot.
Thanks in advance!
I read your paper and good to see that less data is needed to train the model.
I would like to know some details like the number of layers, input length, whether additional training objectives like SOP is used related to pretraining.
I tried to find the info on your paper but failed.
Let me know.
Thanks.
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