|
--- |
|
language: en |
|
tags: |
|
- exbert |
|
|
|
license: apache-2.0 |
|
datasets: |
|
- openwebtext |
|
--- |
|
|
|
# DistilRoBERTa base model |
|
|
|
This model is a distilled version of the [RoBERTa-base model](https://huggingface.co/roberta-base). It follows the same training procedure as [DistilBERT](https://huggingface.co/distilbert-base-uncased). |
|
The code for the distillation process can be found [here](https://github.com/huggingface/transformers/tree/master/examples/distillation). |
|
This model is case-sensitive: it makes a difference between english and English. |
|
|
|
The model has 6 layers, 768 dimension and 12 heads, totalizing 82M parameters (compared to 125M parameters for RoBERTa-base). |
|
On average DistilRoBERTa is twice as fast as Roberta-base. |
|
|
|
We encourage to check [RoBERTa-base model](https://huggingface.co/roberta-base) to know more about usage, limitations and potential biases. |
|
|
|
## Training data |
|
|
|
DistilRoBERTa was pre-trained on [OpenWebTextCorpus](https://skylion007.github.io/OpenWebTextCorpus/), a reproduction of OpenAI's WebText dataset (it is ~4 times less training data than the teacher RoBERTa). |
|
|
|
## Evaluation results |
|
|
|
When fine-tuned on downstream tasks, this model achieves the following results: |
|
|
|
Glue test results: |
|
|
|
| Task | MNLI | QQP | QNLI | SST-2 | CoLA | STS-B | MRPC | RTE | |
|
|:----:|:----:|:----:|:----:|:-----:|:----:|:-----:|:----:|:----:| |
|
| | 84.0 | 89.4 | 90.8 | 92.5 | 59.3 | 88.3 | 86.6 | 67.9 | |
|
|
|
### BibTeX entry and citation info |
|
|
|
```bibtex |
|
@article{Sanh2019DistilBERTAD, |
|
title={DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter}, |
|
author={Victor Sanh and Lysandre Debut and Julien Chaumond and Thomas Wolf}, |
|
journal={ArXiv}, |
|
year={2019}, |
|
volume={abs/1910.01108} |
|
} |
|
``` |
|
|
|
<a href="https://huggingface.co/exbert/?model=distilroberta-base"> |
|
<img width="300px" src="https://cdn-media.huggingface.co/exbert/button.png"> |
|
</a> |
|
|
