bert-base-uncased_lingaccept_cola_pfeiffer.yaml

# Adapter-Hub adapter entry
# Defines a single adapter entry in Adapter-Hub
# --------------------

# The type of adapter (one of the options available in `adapter_type`.
type: text_task

# The string identifier of the task this adapter belongs to.
task: lingaccept

# The string identifier of the subtask this adapter belongs to.
subtask: cola

# The model type.
# Example: bert
model_type: bert

# The string identifier of the pre-trained model (by which it is identified at Huggingface).
# Example: bert-base-uncased
model_name: bert-base-uncased

# The name of the author(s) of this adapter.
author: Clifton Poth

# Describes the adapter architecture used by this adapter
config:
  using: pfeiffer
default_version: '1'

# A list of different versions of this adapter available for download.
files:
- version: '1'
  url: "https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/cola/bert-base-uncased/pfeiffer/bert-base-uncased_lingaccept_cola_pfeiffer.zip"
  sha1: 40654c55a9e9d599100b8034b1bb93129e47c007
  sha256: 09c6b81ecd09c424b29ddeda5496686b07c523d1bf30dd0924f68f9f51d04fad

citation: |
  @article{pfeiffer2020AdapterHub,
      title={AdapterHub: A Framework for Adapting Transformers},
      author={Jonas Pfeiffer and
              Andreas R\"uckl\'{e} and
              Clifton Poth and
              Aishwarya Kamath and
              Ivan Vuli\'{c} and
              Sebastian Ruder and
              Kyunghyun Cho and
              Iryna Gurevych},
      journal={arXiv preprint},
      year={2020},
      url={https://arxiv.org/abs/2007.07779}
  }

# A short description of this adapter.
description: |
  Adapter in Pfeiffer architecture trained on the CoLA task for 20 epochs with early stopping and a learning rate of 1e-4.
  See https://arxiv.org/pdf/2007.07779.pdf.

# A contact email of the author(s).
email: poth@ukp.informatik.tu-darmstadt.de

# A GitHub handle associated with the author(s).
github: calpt

# The name of the model class from which this adapter was extracted. This field is mainly intended for adapters with prediction heads.
# Example: BertModelWithHeads
model_class: BertForSequenceClassification

# A Twitter handle associated with the author(s).
twitter: clifapt

# A URL providing more information on this adapter/ the authors/ the organization.
url: https://www.informatik.tu-darmstadt.de/ukp
prediction_head: true