---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- fairytale_qa
metrics:
- rouge
model-index:
- name: t5-base-QG-finetuned-FairytaleQA
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: fairytale_qa
      type: fairytale_qa
      config: default
      split: validation
      args: default
    metrics:
    - name: Rouge1
      type: rouge
      value: 45.1292
---

<!-- 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. -->

# t5-base-QG-finetuned-FairytaleQA

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the fairytale_qa dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0876
- Rouge1: 45.1292
- Rouge2: 26.5987
- Rougel: 43.2701
- Rougelsum: 43.2744
- Gen Len: 15.1024

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1882        | 1.0   | 2137 | 1.0876          | 45.1292 | 26.5987 | 43.2701 | 43.2744   | 15.1024 |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3