|
--- |
|
language: |
|
- multilingual |
|
- af |
|
- am |
|
- ar |
|
- as |
|
- az |
|
- be |
|
- bg |
|
- bn |
|
- br |
|
- bs |
|
- ca |
|
- cs |
|
- cy |
|
- da |
|
- de |
|
- el |
|
- en |
|
- eo |
|
- es |
|
- et |
|
- eu |
|
- fa |
|
- fi |
|
- fr |
|
- fy |
|
- ga |
|
- gd |
|
- gl |
|
- gu |
|
- ha |
|
- he |
|
- hi |
|
- hr |
|
- hu |
|
- hy |
|
- id |
|
- is |
|
- it |
|
- ja |
|
- jv |
|
- ka |
|
- kk |
|
- km |
|
- kn |
|
- ko |
|
- ku |
|
- ky |
|
- la |
|
- lo |
|
- lt |
|
- lv |
|
- mg |
|
- mk |
|
- ml |
|
- mn |
|
- mr |
|
- ms |
|
- my |
|
- ne |
|
- nl |
|
- 'no' |
|
- om |
|
- or |
|
- pa |
|
- pl |
|
- ps |
|
- pt |
|
- ro |
|
- ru |
|
- sa |
|
- sd |
|
- si |
|
- sk |
|
- sl |
|
- so |
|
- sq |
|
- sr |
|
- su |
|
- sv |
|
- sw |
|
- ta |
|
- te |
|
- th |
|
- tl |
|
- tr |
|
- ug |
|
- uk |
|
- ur |
|
- uz |
|
- vi |
|
- xh |
|
- yi |
|
- zh |
|
license: mit |
|
pipeline_tag: feature-extraction |
|
--- |
|
|
|
[xlm-roberta-base](https://huggingface.co/xlm-roberta-base) fine-tuned for sentence embeddings with [SimCSE](http://dx.doi.org/10.18653/v1/2021.emnlp-main.552) (Gao et al., EMNLP 2021). |
|
|
|
See a similar English model released by Gao et al.: https://huggingface.co/princeton-nlp/unsup-simcse-roberta-base. |
|
|
|
Fine-tuning was done using the [reference implementation of unsupervised SimCSE](https://github.com/princeton-nlp/SimCSE) and the 1M sentences from English Wikipedia released by the authors. |
|
As a sentence representation, we used the average of the last hidden states (`pooler_type=avg`), which is compatible with Sentence-BERT. |
|
|
|
Fine-tuning command: |
|
```bash |
|
python train.py \ |
|
--model_name_or_path xlm-roberta-base \ |
|
--train_file data/wiki1m_for_simcse.txt \ |
|
--output_dir unsup-simcse-xlm-roberta-base \ |
|
--num_train_epochs 1 \ |
|
--per_device_train_batch_size 32 \ |
|
--gradient_accumulation_steps 16 \ |
|
--learning_rate 1e-5 \ |
|
--max_seq_length 128 \ |
|
--pooler_type avg \ |
|
--overwrite_output_dir \ |
|
--temp 0.05 \ |
|
--do_train \ |
|
--fp16 \ |
|
--seed 28852 |
|
``` |
|
|
|
## Citation |
|
```bibtex |
|
@article{vamvas-sennrich-2023-rsd, |
|
title={Towards Unsupervised Recognition of Semantic Differences in Related Documents}, |
|
author={Jannis Vamvas and Rico Sennrich}, |
|
year={2023}, |
|
eprint={2305.13303}, |
|
archivePrefix={arXiv}, |
|
primaryClass={cs.CL} |
|
} |
|
``` |
|
|