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bert-base-uncased-cb_pfeiffer.yaml
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bert-base-uncased-cb_pfeiffer.yaml
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# Adapter-Hub adapter entry
# Defines a single adapter entry in Adapter-Hub
# --------------------
# The name of the author(s) of this adapter.
author: "Jonas Pfeiffer"
# A bibtex citation of the work related to this adapter.
citation: |
@article{Pfeiffer2020AdapterFusion,
author = {Pfeiffer, Jonas and Kamath, Aishwarya and R{\"{u}}ckl{\'{e}}, Andreas and Cho, Kyunghyun and Gurevych, Iryna},
journal = {arXiv preprint},
title = {{AdapterFusion}: Non-Destructive Task Composition for Transfer Learning},
url = {https://arxiv.org/pdf/2005.00247.pdf},
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: pfeiffer
# The version to be downloaded if no version is explicitly stated.
default_version: "AdapterFusion"
# A short description of this adapter.
description: |
Pfeiffer Adapter trained on the CommitmentBank.
# A contact email of the author(s).
email: "pfeiffer@ukp.informatik.tu-darmstadt"
# A list of different versions of this adapter available for download.
files:
- sha1: "c5a79cc4db0b21ce5cac3cc5b9252c06ba419034"
sha256: "7ae04a83f8f983808773dcfd3ee308116f2fe7f5a9bc576bf6fc4bf2fce286e4"
# Download URL pointing to a zip folder containing the adapter module.
url: "https://public.ukp.informatik.tu-darmstadt.de/AdapterHub/text_task/cb/bert-base-uncased/pfeiffer/cb_relu_16.zip"
version: "AdapterFusion"
# A GitHub handle associated with the author(s).
github: "JoPfeiff"
# 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: "bert-base-uncased"
# The model type.
# Example: bert
model_type: bert
# The string identifier of the subtask this adapter belongs to.
subtask: cb
# The string identifier of the task this adapter belongs to.
task: nli
# A Twitter handle associated with the author(s).
twitter: "@PfeiffJo"
# 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: "https://pfeiffer.ai"
prediction_head: false