roberta-base-cola_houlsby.yaml

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

# The name of the author(s) of this adapter.
author: "Andreas Rücklé"

# A bibtex citation of the work related to this adapter.
citation: |
  @article{pfeiffer2020AdapterHub,
      title={AdapterHub: A Framework for Adapting Transformers},
      author={Jonas Pfeiffer,
              Andreas R\"uckl\'{e},
              Clifton Poth,
              Aishwarya Kamath,
              Ivan Vuli\'{c},
              Sebastian Ruder,
              Kyunghyun Cho,
              Iryna Gurevych},
      journal={ArXiv},
      year={2020}
  }

# The string identifier of the adapter architecture (must be available in architecture).
# Describes the adapter architecture used by this adapter
config: # TODO: REQUIRED
  # The name of the adapter config used by this adapter (a short name available in the `architectures` folder).
  # Example: pfeiffer
  using: houlsby

# The version to be downloaded if no version is explicitly stated.
default_version: "1"

# A short description of this adapter.
description: |
  Adapter (with head) trained using the `run_glue.py` script with an extension that retains the best checkpoint (out of 30 epochs).

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

# A list of different versions of this adapter available for download.
files:
- sha256: ab5d274ad64208676f3e313cd40297f9fb10b9518f3a34a72e73fcdc85c39768
  sha1: "c568c8523945de5392aaee9145768cd90dd61472"
    # Download URL pointing to a zip folder containing the adapter module.
  url: "https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/cola/roberta-base/houlsby/roberta-base_cola_houlsby.zip"
  version: "1"
  description: "Achieves 60.07 Matthew's corr on the CoLA devset"


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

# The hidden size of the model
hidden_size: 768

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

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

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

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

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

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

# A URL providing more information on this adapter/ the authors/ the organization.
url: "http://rueckle.net"
model_class: RobertaModelWithHeads
prediction_head: true