Hugging Face's logo

AdapterHub
/
distilbert-base-uncased_nli_rte_houlsby

Text Classification
Adapters
adapterhub:nli/rte
distilbert
Model card Files Community
distilbert-base-uncased_nli_rte_houlsby / README.md
calpt's picture
calpt
Add adapter distilbert-base-uncased_nli_rte_houlsby version 1
05c2ed1 verified
preview code
|
raw
history blame contribute delete
1.4 kB
metadata
tags:
  - adapterhub:nli/rte
  - adapter-transformers
  - distilbert
  - text-classification
license: apache-2.0

Adapter distilbert-base-uncased_nli_rte_houlsby for distilbert-base-uncased

Adapter for distilbert-base-uncased in Houlsby architecture trained on the RTE 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_nli_rte_houlsby")
model.set_active_adapters(adapter_name)

Architecture & Training

  • Adapter architecture: houlsby
  • Prediction head: classification
  • Dataset: RTE

Author Information

Citation

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