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model = AutoAdapterModel.from_pretrained("bert-base-uncased")
config = AdapterConfig.load("pfeiffer")
model.load_adapter("nli/scitail@ukp", config=config)

Description

Pfeiffer Adapter trained on SciTail.

Properties

Pre-trained model
bert-base-uncased
Adapter type
Task
Prediction Head
  No
Task
Natural Language Inference
Dataset
SciTail

Architecture

Name
pfeiffer
Non-linearity
relu
Reduction factor
16
{
  "ln_after": false,
  "ln_before": false,
  "mh_adapter": false,
  "output_adapter": true,
  "adapter_residual_before_ln": false,
  "non_linearity": null,
  "original_ln_after": true,
  "original_ln_before": true,
  "reduction_factor": null,
  "residual_before_ln": true
}

Author

  Name
Jonas Pfeiffer
  E-Mail
pfeiffer@ukp.informatik.tu-darmstadt
  Web
https://pfeiffer.ai
  GitHub
JoPfeiff
  Twitter
@PfeiffJo

Versions

Identifier Comment Score Download
AdapterFusion DEFAULT

Citations

Adapter
@article{Pfeiffer2020AdapterFusion,
author = {Pfeiffer, Jonas and Kamath, Aishwarya and R{\"{u}}ckl{\'{e}}, Andreas and Cho, Kyunghyun and Gurevych, Iryna},
journal = {arXiv preprint},
title = {{AdapterFusion}:  Non-Destructive Task Composition for Transfer Learning},
 url       = {https://arxiv.org/pdf/2005.00247.pdf},
year = {2020}
}
Architecture
@misc{pfeiffer2020adapterfusion,
  title={AdapterFusion: Non-Destructive Task Composition for Transfer Learning},
  author={Jonas Pfeiffer and Aishwarya Kamath and Andreas Rücklé and Kyunghyun Cho and Iryna Gurevych},
  year={2020},
  eprint={2005.00247},
  archivePrefix={arXiv},
  primaryClass={cs.CL}
}
Task
@inproceedings{Khot18SciTail,
  author    = {Tushar Khot and
               Ashish Sabharwal and
               Peter Clark},
  title     = {SciTaiL: {A} Textual Entailment Dataset from Science Question Answering},
  booktitle = {Proceedings of the Thirty-Second {AAAI} Conference on Artificial Intelligence,
               (AAAI-18), the 30th innovative Applications of Artificial Intelligence
               (IAAI-18), and the 8th {AAAI} Symposium on Educational Advances in
               Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February
               2-7, 2018},
  pages     = {5189--5197},
  year      = {2018},
  url       = {https://www.aaai.org/ocs/index.php/AAAI/AAAI18/paper/view/17368},
}