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roberta-base_qa_squad1_pfeiffer

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metadata
tags:
  - adapter-transformers
  - question-answering
  - adapterhub:qa/squad1
  - roberta
datasets:
  - squad
license: apache-2.0

Adapter roberta-base_qa_squad1_pfeiffer for roberta-base

Adapter for roberta-base in Pfeiffer architecture trained on the SQuAD 1.1 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("roberta-base")
adapter_name = model.load_adapter("AdapterHub/roberta-base_qa_squad1_pfeiffer")
model.set_active_adapters(adapter_name)

Architecture & Training

  • Adapter architecture: pfeiffer
  • Prediction head: question answering
  • Dataset: SQuAD 1.1

Author Information

Citation

This adapter has been auto-imported from https://github.com/Adapter-Hub/Hub/blob/master/adapters/ukp/roberta-base_qa_squad1_pfeiffer.yaml.