---
tags:
- generated_from_trainer
datasets:
- hotpot_qa
metrics:
- rouge
model-index:
- name: bart-qg-finetuned-hotpotqa
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: hotpot_qa
      type: hotpot_qa
      config: distractor
      split: train
      args: distractor
    metrics:
    - name: Rouge1
      type: rouge
      value: 46.2814
---

<!-- 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. -->

# bart-qg-finetuned-hotpotqa

This model is a fine-tuned version of [p208p2002/bart-squad-qg-hl](https://huggingface.co./p208p2002/bart-squad-qg-hl) on the hotpot_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0817
- Rouge1: 46.2814
- Rouge2: 30.4609
- Rougel: 42.3385
- Rougelsum: 42.3741

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.6e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 1.3949        | 1.0   | 2500 | 1.1812          | 44.0967 | 28.022  | 40.0397 | 40.0403   |
| 1.0883        | 2.0   | 5000 | 1.1141          | 44.9629 | 29.1863 | 41.1078 | 41.1684   |
| 0.8677        | 3.0   | 7500 | 1.0817          | 46.2814 | 30.4609 | 42.3385 | 42.3741   |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2