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distilbert-base-uncased_qa_boolq_pfeiffer

Text Classification
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adapterhub:qa/boolq
distilbert
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distilbert-base-uncased_qa_boolq_pfeiffer / README.md
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metadata
tags:
  - adapter-transformers
  - adapterhub:qa/boolq
  - distilbert
  - text-classification
datasets:
  - boolq
license: apache-2.0

Adapter distilbert-base-uncased_qa_boolq_pfeiffer for distilbert-base-uncased

Adapter for distilbert-base-uncased in Pfeiffer architecture trained on the BoolQ dataset for 15 epochs with early stopping and a learning rate of 1e-4.

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("distilbert-base-uncased")
adapter_name = model.load_adapter("AdapterHub/distilbert-base-uncased_qa_boolq_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

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

Author Information

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/distilbert-base-uncased_qa_boolq_pfeiffer.yaml.