---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: ptt5-wikilingua-temario
  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. -->

# ptt5-wikilingua-temario

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4417
- Rouge1: 8.787
- Rouge2: 5.5133
- Rougel: 7.7732
- Rougelsum: 8.5033
- Gen Len: 19.0

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 88   | 2.7066          | 7.5069 | 3.1524 | 6.0693 | 7.1909    | 19.0    |
| No log        | 2.0   | 176  | 2.6314          | 7.663  | 3.5887 | 6.1987 | 7.3444    | 19.0    |
| 2.9286        | 3.0   | 264  | 2.5823          | 8.4012 | 4.3812 | 7.0272 | 8.0549    | 19.0    |
| 2.9286        | 4.0   | 352  | 2.5548          | 8.6227 | 4.8271 | 7.1687 | 8.2419    | 19.0    |
| 2.6522        | 5.0   | 440  | 2.5300          | 8.6178 | 4.7726 | 7.2234 | 8.2637    | 19.0    |
| 2.6522        | 6.0   | 528  | 2.5124          | 8.7431 | 4.8169 | 7.4449 | 8.3875    | 19.0    |
| 2.5237        | 7.0   | 616  | 2.4978          | 8.8796 | 5.0694 | 7.5619 | 8.5038    | 19.0    |
| 2.5237        | 8.0   | 704  | 2.4917          | 8.7714 | 5.1832 | 7.643  | 8.4577    | 19.0    |
| 2.5237        | 9.0   | 792  | 2.4801          | 8.7998 | 5.2361 | 7.6774 | 8.4935    | 19.0    |
| 2.4402        | 10.0  | 880  | 2.4716          | 8.9029 | 5.254  | 7.7002 | 8.5854    | 19.0    |
| 2.4402        | 11.0  | 968  | 2.4668          | 8.949  | 5.3352 | 7.7535 | 8.6621    | 19.0    |
| 2.3925        | 12.0  | 1056 | 2.4640          | 8.8126 | 5.1864 | 7.5918 | 8.4955    | 19.0    |
| 2.3925        | 13.0  | 1144 | 2.4581          | 8.8663 | 5.293  | 7.6271 | 8.537     | 19.0    |
| 2.3189        | 14.0  | 1232 | 2.4516          | 8.9118 | 5.3828 | 7.6637 | 8.581     | 19.0    |
| 2.3189        | 15.0  | 1320 | 2.4500          | 8.9342 | 5.4024 | 7.7154 | 8.5934    | 19.0    |
| 2.2561        | 16.0  | 1408 | 2.4502          | 8.8847 | 5.5391 | 7.8322 | 8.611     | 19.0    |
| 2.2561        | 17.0  | 1496 | 2.4485          | 8.8129 | 5.4839 | 7.7874 | 8.5371    | 19.0    |
| 2.2561        | 18.0  | 1584 | 2.4448          | 8.8058 | 5.4796 | 7.7881 | 8.5264    | 19.0    |
| 2.231         | 19.0  | 1672 | 2.4435          | 8.7837 | 5.4104 | 7.7718 | 8.5261    | 19.0    |
| 2.231         | 20.0  | 1760 | 2.4437          | 8.7946 | 5.4966 | 7.7942 | 8.5357    | 19.0    |
| 2.2094        | 21.0  | 1848 | 2.4432          | 8.7801 | 5.4826 | 7.7942 | 8.5156    | 19.0    |
| 2.2094        | 22.0  | 1936 | 2.4452          | 8.7801 | 5.4826 | 7.7942 | 8.5156    | 19.0    |
| 2.1987        | 23.0  | 2024 | 2.4424          | 8.8398 | 5.5067 | 7.8209 | 8.5856    | 19.0    |
| 2.1987        | 24.0  | 2112 | 2.4440          | 8.8398 | 5.5067 | 7.8209 | 8.5856    | 19.0    |
| 2.1643        | 25.0  | 2200 | 2.4397          | 8.8398 | 5.5067 | 7.8209 | 8.5856    | 19.0    |
| 2.1643        | 26.0  | 2288 | 2.4411          | 8.8072 | 5.5271 | 7.7949 | 8.5449    | 19.0    |
| 2.1643        | 27.0  | 2376 | 2.4424          | 8.8192 | 5.4877 | 7.7992 | 8.5387    | 19.0    |
| 2.1376        | 28.0  | 2464 | 2.4423          | 8.787  | 5.5133 | 7.7732 | 8.5033    | 19.0    |
| 2.1376        | 29.0  | 2552 | 2.4423          | 8.787  | 5.5133 | 7.7732 | 8.5033    | 19.0    |
| 2.1601        | 30.0  | 2640 | 2.4417          | 8.787  | 5.5133 | 7.7732 | 8.5033    | 19.0    |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.1