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---
datasets:
- SQuAD
language:
- English
thumbnail:
tags:
- roberta
- roberta-base
- question-answering
- qa
license: cc-by-4.0
---
# roberta-base + SQuAD QA
Objective:
This is Roberta Base trained to do the SQuAD Task. This makes a QA model capable of answering questions.
```
model_name = "thatdramebaazguy/roberta-base-squad"
pipeline(model=model_name, tokenizer=model_name, revision="v1.0", task="question-answering")
```
## Overview
**Language model:** roberta-base
**Language:** English
**Downstream-task:** QA
**Training data:** SQuADv1
**Eval data:** SQuAD
**Infrastructure**: 2x Tesla v100
**Code:** See [example](https://github.com/adityaarunsinghal/Domain-Adaptation/blob/master/scripts/shell_scripts/train_movieR_just_squadv1.sh)
## Hyperparameters
```
Num examples = 88567
Num Epochs = 10
Instantaneous batch size per device = 32
Total train batch size (w. parallel, distributed & accumulation) = 64
```
## Performance
### Eval on SQuADv1
- epoch = 10.0
- eval_samples = 10790
- exact_match = 83.6045
- f1 = 91.1709
### Eval on MoviesQA
- eval_samples = 5032
- exact_match = 51.6494
- f1 = 68.2615
Github Repo:
- [Domain-Adaptation Project](https://github.com/adityaarunsinghal/Domain-Adaptation/)
---
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