---
license: cc-by-4.0
tags:
- generated_from_trainer
model-index:
- name: roberta-finetuned-qa-policy
  results: []
datasets:
- GIZ/policy_qa_v0
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# roberta-finetuned-qa-policy

This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the [Policy_QA](https://huggingface.co/datasets/GIZ/policy_qa_v0) dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

[Policy QA](https://huggingface.co/datasets/GIZ/policy_qa_v0)

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2