RoBERTa-PreLayerNorm
This model was released on 2019-04-01 and added to Hugging Face Transformers on 2022-12-19.
RoBERTa-PreLayerNorm
Section titled “RoBERTa-PreLayerNorm”
Overview
Section titled “Overview”The RoBERTa-PreLayerNorm model was proposed in fairseq: A Fast, Extensible Toolkit for Sequence Modeling by Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli.
It is identical to using the --encoder-normalize-before flag in fairseq.
The abstract from the paper is the following:
fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. The toolkit is based on PyTorch and supports distributed training across multiple GPUs and machines. We also support fast mixed-precision training and inference on modern GPUs.
This model was contributed by andreasmaden. The original code can be found here.
Usage tips
Section titled “Usage tips”- The implementation is the same as Roberta except instead of using Add and Norm it does Norm and Add. Add and Norm refers to the Addition and LayerNormalization as described in Attention Is All You Need.
- This is identical to using the
--encoder-normalize-beforeflag in fairseq.
Resources
Section titled “Resources”- Text classification task guide
- Token classification task guide
- Question answering task guide
- Causal language modeling task guide
- Masked language modeling task guide
- Multiple choice task guide
RobertaPreLayerNormConfig
Section titled “RobertaPreLayerNormConfig”[[autodoc]] RobertaPreLayerNormConfig
RobertaPreLayerNormModel
Section titled “RobertaPreLayerNormModel”[[autodoc]] RobertaPreLayerNormModel - forward
RobertaPreLayerNormForCausalLM
Section titled “RobertaPreLayerNormForCausalLM”[[autodoc]] RobertaPreLayerNormForCausalLM - forward
RobertaPreLayerNormForMaskedLM
Section titled “RobertaPreLayerNormForMaskedLM”[[autodoc]] RobertaPreLayerNormForMaskedLM - forward
RobertaPreLayerNormForSequenceClassification
Section titled “RobertaPreLayerNormForSequenceClassification”[[autodoc]] RobertaPreLayerNormForSequenceClassification - forward
RobertaPreLayerNormForMultipleChoice
Section titled “RobertaPreLayerNormForMultipleChoice”[[autodoc]] RobertaPreLayerNormForMultipleChoice - forward
RobertaPreLayerNormForTokenClassification
Section titled “RobertaPreLayerNormForTokenClassification”[[autodoc]] RobertaPreLayerNormForTokenClassification - forward
RobertaPreLayerNormForQuestionAnswering
Section titled “RobertaPreLayerNormForQuestionAnswering”[[autodoc]] RobertaPreLayerNormForQuestionAnswering - forward