---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-finetuned-question-generation
  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. -->

# flan-t5-small-finetuned-question-generation

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5103
- Rouge1: 0.4692
- Rouge2: 0.2472
- Rougel: 0.4300
- Rougelsum: 0.4314

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
| 1.9748        | 1.0   | 561  | 1.6071          | 0.4531 | 0.2304 | 0.4114 | 0.4114    |
| 1.7823        | 2.0   | 1122 | 1.5643          | 0.4561 | 0.2361 | 0.4197 | 0.4202    |
| 1.692         | 3.0   | 1683 | 1.5422          | 0.4582 | 0.2342 | 0.4210 | 0.4212    |
| 1.6226        | 4.0   | 2244 | 1.5243          | 0.4655 | 0.2447 | 0.4288 | 0.4301    |
| 1.5668        | 5.0   | 2805 | 1.5146          | 0.4625 | 0.2402 | 0.4257 | 0.4261    |
| 1.5281        | 6.0   | 3366 | 1.5083          | 0.4651 | 0.2423 | 0.4293 | 0.4304    |
| 1.5058        | 7.0   | 3927 | 1.5100          | 0.4670 | 0.2456 | 0.4290 | 0.4302    |
| 1.4834        | 8.0   | 4488 | 1.5103          | 0.4692 | 0.2472 | 0.4300 | 0.4314    |


### Framework versions

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