---
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: 1.5998
- Rouge1: 50.1718
- Rouge2: 27.5603
- Rougel: 46.3981
- Rougelsum: 46.3975
- Gen Len: 13.7948

## 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: 0.0001
- 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 | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.819         | 1.0   | 10913 | 1.6159          | 48.8496 | 26.1270 | 45.1331 | 45.1442   | 13.8064 |
| 1.6487        | 2.0   | 21826 | 1.5947          | 48.8142 | 26.2209 | 45.1475 | 45.1482   | 13.8229 |
| 1.5546        | 3.0   | 32739 | 1.5910          | 49.6261 | 27.1655 | 45.9472 | 45.9535   | 13.9086 |
| 1.4862        | 4.0   | 43652 | 1.5887          | 49.9953 | 27.4630 | 46.2824 | 46.2841   | 13.7223 |
| 1.4327        | 5.0   | 54565 | 1.5950          | 50.1663 | 27.6038 | 46.4602 | 46.4721   | 13.7106 |
| 1.3907        | 6.0   | 65478 | 1.5910          | 49.9510 | 27.4795 | 46.2230 | 46.2218   | 13.8172 |
| 1.3598        | 7.0   | 76391 | 1.5973          | 50.1049 | 27.4804 | 46.3268 | 46.3300   | 13.7966 |
| 1.3388        | 8.0   | 87304 | 1.5998          | 50.1718 | 27.5603 | 46.3981 | 46.3975   | 13.7948 |


### Framework versions

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