---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
- f1
model-index:
- name: t5-base-finetuned-FairytaleQA-QuestionGeneration
  results: []
---

<!-- 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-finetuned-FairytaleQA-QuestionGeneration

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1497
- Rouge1: 41.8335
- Rouge2: 22.9223
- Rougel: 39.7489
- Rougelsum: 39.7165
- F1: 1.0732
- Exact Match: 1.0732
- Gen Len: 15.721

## 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: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | F1     | Exact Match | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-----------:|:-------:|
| 0.1477        | 1.0   | 2137  | 0.1519          | 41.844  | 22.9178 | 39.6972 | 39.6635   | 1.1707 | 1.1707      | 15.7502 |
| 0.156         | 2.0   | 4274  | 0.1499          | 41.7453 | 22.8275 | 39.6485 | 39.6119   | 1.0732 | 1.0732      | 15.76   |
| 0.1539        | 3.0   | 6411  | 0.1497          | 41.8402 | 22.9432 | 39.7493 | 39.7177   | 1.0732 | 1.0732      | 15.7463 |
| 0.1529        | 4.0   | 8548  | 0.1497          | 41.8242 | 22.9165 | 39.7328 | 39.7163   | 1.0732 | 1.0732      | 15.7249 |
| 0.1574        | 5.0   | 10685 | 0.1497          | 41.8335 | 22.9223 | 39.7489 | 39.7165   | 1.0732 | 1.0732      | 15.721  |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1