Adapter jgrc3/pfeiffer_adapter_classification_trained for roberta-base

An adapter for the roberta-base model that was trained on the BigTMiami/amazon_helpfulness dataset and includes a prediction head for classification.

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("jgrc3/pfeiffer_adapter_classification_trained", source="hf", set_active=True)

Architecture & Training

Evaluation results

Citation