|
--- |
|
language: |
|
- en |
|
|
|
license: |
|
- mit |
|
|
|
tags: |
|
- BERT |
|
- MNLI |
|
- NLI |
|
- transformer |
|
- pre-training |
|
|
|
--- |
|
|
|
The following model is a Pytorch pre-trained model obtained from converting Tensorflow checkpoint found in the [official Google BERT repository](https://github.com/google-research/bert). |
|
|
|
This is one of the smaller pre-trained BERT variants, together with [bert-mini](https://huggingface.co/prajjwal1/bert-mini) [bert-small](https://huggingface.co/prajjwal1/bert-small) and [bert-medium](https://huggingface.co/prajjwal1/bert-medium). They were introduced in the study `Well-Read Students Learn Better: On the Importance of Pre-training Compact Models` ([arxiv](https://arxiv.org/abs/1908.08962)), and ported to HF for the study `Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics` ([arXiv](https://arxiv.org/abs/2110.01518)). These models are supposed to be trained on a downstream task. |
|
|
|
If you use the model, please consider citing both the papers: |
|
``` |
|
@misc{bhargava2021generalization, |
|
title={Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics}, |
|
author={Prajjwal Bhargava and Aleksandr Drozd and Anna Rogers}, |
|
year={2021}, |
|
eprint={2110.01518}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
|
|
@article{DBLP:journals/corr/abs-1908-08962, |
|
author = {Iulia Turc and |
|
Ming{-}Wei Chang and |
|
Kenton Lee and |
|
Kristina Toutanova}, |
|
title = {Well-Read Students Learn Better: The Impact of Student Initialization |
|
on Knowledge Distillation}, |
|
journal = {CoRR}, |
|
volume = {abs/1908.08962}, |
|
year = {2019}, |
|
url = {http://arxiv.org/abs/1908.08962}, |
|
eprinttype = {arXiv}, |
|
eprint = {1908.08962}, |
|
timestamp = {Thu, 29 Aug 2019 16:32:34 +0200}, |
|
biburl = {https://dblp.org/rec/journals/corr/abs-1908-08962.bib}, |
|
bibsource = {dblp computer science bibliography, https://dblp.org} |
|
} |
|
|
|
``` |
|
Config of this model: |
|
- `prajjwal1/bert-tiny` (L=2, H=128) [Model Link](https://huggingface.co/prajjwal1/bert-tiny) |
|
|
|
|
|
Other models to check out: |
|
- `prajjwal1/bert-mini` (L=4, H=256) [Model Link](https://huggingface.co/prajjwal1/bert-mini) |
|
- `prajjwal1/bert-small` (L=4, H=512) [Model Link](https://huggingface.co/prajjwal1/bert-small) |
|
- `prajjwal1/bert-medium` (L=8, H=512) [Model Link](https://huggingface.co/prajjwal1/bert-medium) |
|
|
|
Original Implementation and more info can be found in [this Github repository](https://github.com/prajjwal1/generalize_lm_nli). |
|
|
|
Twitter: [@prajjwal_1](https://twitter.com/prajjwal_1) |
|
|
|
#### |
|
|
