
# Model description

An RoBERTa reading comprehension model for [SQuAD 1.1](https://aclanthology.org/D16-1264/).

The model is initialized with  [roberta-large](https://huggingface.co/roberta-large/) and fine-tuned on the [SQuAD 1.1 train data](https://huggingface.co/datasets/squad).

## Intended uses & limitations

You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, roberta-large, that we used may be present in our fine-tuned model, squad-v1-roberta-large.


## Usage

You can use this model directly with the [PrimeQA](https://github.com/primeqa/primeqa) pipeline for reading comprehension [squad.ipynb](https://github.com/primeqa/primeqa/blob/main/notebooks/mrc/squad.ipynb).

```bibtex
@article{2016arXiv160605250R,
       author = {{Rajpurkar}, Pranav and {Zhang}, Jian and {Lopyrev},
                 Konstantin and {Liang}, Percy},
        title = "{SQuAD: 100,000+ Questions for Machine Comprehension of Text}",
      journal = {arXiv e-prints},
         year = 2016,
          eid = {arXiv:1606.05250},
        pages = {arXiv:1606.05250},
archivePrefix = {arXiv},
       eprint = {1606.05250},
}
```
```bibtex
@article{DBLP:journals/corr/abs-1907-11692,
  author    = {Yinhan Liu and
               Myle Ott and
               Naman Goyal and
               Jingfei Du and
               Mandar Joshi and
               Danqi Chen and
               Omer Levy and
               Mike Lewis and
               Luke Zettlemoyer and
               Veselin Stoyanov},
  title     = {RoBERTa: {A} Robustly Optimized {BERT} Pretraining Approach},
  journal   = {CoRR},
  volume    = {abs/1907.11692},
  year      = {2019},
  url       = {http://arxiv.org/abs/1907.11692},
  archivePrefix = {arXiv},
  eprint    = {1907.11692},
  timestamp = {Thu, 01 Aug 2019 08:59:33 +0200},
  biburl    = {https://dblp.org/rec/journals/corr/abs-1907-11692.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

{"language": "en", "license": "apache-2.0", "tags": ["MRC", "SQuAD 1.1", "roberta-large"]}
transformers pytorch roberta MRC SQuAD 1.1 roberta-large en arxiv:1606.05250 arxiv:1907.11692 license:apache-2.0 endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #MRC #SQuAD 1.1 #roberta-large #en #arxiv-1606.05250 #arxiv-1907.11692 #license-apache-2.0 #endpoints_compatible #region-us 


# Model description

An RoBERTa reading comprehension model for SQuAD 1.1.

The model is initialized with  roberta-large and fine-tuned on the SQuAD 1.1 train data.

## Intended uses & limitations

You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, roberta-large, that we used may be present in our fine-tuned model, squad-v1-roberta-large.


## Usage

You can use this model directly with the PrimeQA pipeline for reading comprehension URL.




# Model description

An RoBERTa reading comprehension model for SQuAD 1.1.

The model is initialized with  roberta-large and fine-tuned on the SQuAD 1.1 train data. ## Intended uses & limitations

You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, roberta-large, that we used may be present in our fine-tuned model, squad-v1-roberta-large. ## Usage

You can use this model directly with the PrimeQA pipeline for reading comprehension URL.
TAGS
#transformers #pytorch #roberta #MRC #SQuAD 1.1 #roberta-large #en #arxiv-1606.05250 #arxiv-1907.11692 #license-apache-2.0 #endpoints_compatible #region-us 
 # Model description

An RoBERTa reading comprehension model for SQuAD 1.1.

The model is initialized with  roberta-large and fine-tuned on the SQuAD 1.1 train data. ## Intended uses & limitations

You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, roberta-large, that we used may be present in our fine-tuned model, squad-v1-roberta-large. ## Usage

You can use this model directly with the PrimeQA pipeline for reading comprehension URL.
passage: TAGS
#transformers #pytorch #roberta #MRC #SQuAD 1.1 #roberta-large #en #arxiv-1606.05250 #arxiv-1907.11692 #license-apache-2.0 #endpoints_compatible #region-us 
# Model description

An RoBERTa reading comprehension model for SQuAD 1.1.

The model is initialized with  roberta-large and fine-tuned on the SQuAD 1.1 train data.## Intended uses & limitations

You can use the raw model for the reading comprehension task. Biases associated with the pre-existing language model, roberta-large, that we used may be present in our fine-tuned model, squad-v1-roberta-large.## Usage

You can use this model directly with the PrimeQA pipeline for reading comprehension URL.