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roberta
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Adapter BigTMiami/CC_double_seq_bn_inv_P_5 for roberta-base

An adapter for the roberta-base model that was trained on the BigTMiami/amazon_split_25M_reviews_20_percent_condensed dataset and includes a prediction head for masked lm.

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("BigTMiami/CC_double_seq_bn_inv_P_5", source="hf", set_active=True)

Architecture & Training

Evaluation results

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Dataset used to train BigTMiami/CC_double_seq_bn_inv_P_5