---
license: apache-2.0
base_model: google/flan-t5-large
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large_question_answering_finetuining
  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-large_question_answering_finetuining

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6768
- Rouge1: 16.22
- Rouge2: 9.65
- Rougel: 15.62
- Rougelsum: 15.75
- R: 13.82
- Gen Len: 30.3456

## 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: 0.0003
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | R     | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-----:|:-------:|
| 10.4307       | 1.0   | 79   | 0.5836          | 0.0    | 0.0    | 0.0    | 0.0       | 0.0   | 2.0     |
| 0.4454        | 2.0   | 158  | 0.4834          | 4.07   | 0.61   | 4.18   | 4.15      | 2.95  | 13.7574 |
| 0.3152        | 3.0   | 237  | 0.4520          | 7.89   | 2.42   | 7.49   | 7.53      | 5.93  | 27.9044 |
| 0.2321        | 4.0   | 316  | 0.4634          | 7.5    | 3.24   | 7.41   | 7.39      | 6.05  | 20.0588 |
| 0.1775        | 5.0   | 395  | 0.4656          | 12.1   | 5.52   | 11.98  | 11.81     | 9.86  | 21.1176 |
| 0.1299        | 6.0   | 474  | 0.4958          | 15.28  | 8.79   | 14.71  | 14.68     | 12.92 | 22.9044 |
| 0.096         | 7.0   | 553  | 0.5332          | 15.42  | 9.23   | 14.84  | 14.94     | 13.15 | 28.3382 |
| 0.0685        | 8.0   | 632  | 0.6132          | 15.45  | 9.76   | 15.07  | 14.99     | 13.42 | 26.4559 |
| 0.0542        | 9.0   | 711  | 0.6218          | 17.08  | 11.34  | 16.54  | 16.67     | 14.98 | 28.2353 |
| 0.0442        | 10.0  | 790  | 0.6768          | 16.22  | 9.65   | 15.62  | 15.75     | 13.82 | 30.3456 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.2