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bert-base-arabert-ar-dialect

Text Classification
Adapters
adapterhub:dialect/arabic
bert
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Adapter bert-base-arabert-ar-dialect for aubmindlab/bert-base-arabert

Note: This adapter was not trained by the AdapterHub team, but by these author(s): Nick Doiron. See author details below.

Adapter for AraBERT (aubmindlab/bert-base-arabert) trained to classify Arabic by dialect {0=Egyptian, 1=Gulf, 2=Levantine, 3=Maghrebi, 4=MSA} Trained for 3 epochs on 85k samples (+ 28k test set) from University of British Columbia and John Hopkins University.

This adapter was created for usage with the Adapters library.

Usage

First, install adapters:

pip install -U adapters

Now, the adapter can be loaded and activated like this:

from adapters import AutoAdapterModel

model = AutoAdapterModel.from_pretrained("aubmindlab/bert-base-arabert")
adapter_name = model.load_adapter("AdapterHub/bert-base-arabert-ar-dialect")
model.set_active_adapters(adapter_name)

Architecture & Training

  • Adapter architecture: pfeiffer
  • Prediction head: classification
  • Dataset: ArabicDialect

Author Information

Versions

  • 1
  • 2 (main)

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/mapmeld/bert-base-arabert-ar-dialect.yaml.

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