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facebook-bart-base_lingaccept_cola_houlsby.yaml
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facebook-bart-base_lingaccept_cola_houlsby.yaml
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# 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: bart
# The string identifier of the pre-trained model (by which it is identified at Huggingface).
# Example: bert-base-uncased
model_name: facebook/bart-base
# The name of the author(s) of this adapter.
author: Clifton Poth
# Describes the adapter architecture used by this adapter
config:
# The name of the adapter config used by this adapter (a short name available in the `architectures` folder).
# Example: pfeiffer
using: houlsby
non_linearity: swish
reduction_factor: 16
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/v2/cola/facebook/bart-base/facebook-bart-base_lingaccept_cola_houlsby.zip
sha1: e24c677e886a7fb8e7a0fcb116dbd1974d5ba5ab
sha256: a559b912a5455bd6b72743f66ef6e742c3c94ba7f8e09eb7609f4280fa858f12
# (optional) A short description of this adapter.
description: |
Adapter for bart-base in Houlsby architecture trained on the CoLA dataset for 15 epochs with early stopping and a learning rate of 1e-4.
# (optional) A contact email of the author(s).
email: calpt@mail.de
# (optional) A GitHub handle associated with the author(s).
github: calpt
# (optional) 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: BartModelWithHeads
# (optional) If the adapter has a pre-trained prediction head included.
prediction_head: true
# (optional) A Twitter handle associated with the author(s).
twitter: '@clifapt'
# (optional) A URL providing more information on this adapter/ the authors/ the organization.
url: https://adapterhub.ml