---
license: apache-2.0
base_model: vgaraujov/t5-base-spanish
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: augmented_t5_pictos
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# augmented_t5_pictos

This model is a fine-tuned version of [vgaraujov/t5-base-spanish](https://huggingface.co/vgaraujov/t5-base-spanish) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2659
- Rouge1: 45.6149
- Rouge2: 30.0038
- Rougel: 44.5481
- Rougelsum: 44.5275
- Gen Len: 7.7863

## 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: 3e-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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.4139        | 1.0   | 527  | 1.9162          | 36.3092 | 19.4412 | 35.3042 | 35.2912   | 6.6688  |
| 1.8071        | 2.0   | 1054 | 1.6680          | 42.3979 | 26.0796 | 41.4105 | 41.3967   | 7.0363  |
| 1.5205        | 3.0   | 1581 | 1.5088          | 43.033  | 27.2079 | 42.0521 | 42.0524   | 7.6261  |
| 1.3732        | 4.0   | 2108 | 1.4220          | 44.7554 | 28.8592 | 43.8614 | 43.8616   | 7.3504  |
| 1.2345        | 5.0   | 2635 | 1.3596          | 45.1026 | 29.8953 | 44.055  | 44.0191   | 7.5791  |
| 1.1474        | 6.0   | 3162 | 1.3102          | 44.9068 | 29.1063 | 43.7844 | 43.7561   | 7.7521  |
| 1.0654        | 7.0   | 3689 | 1.2925          | 45.5775 | 29.9282 | 44.5345 | 44.5368   | 7.6090  |
| 0.9925        | 8.0   | 4216 | 1.2732          | 45.3677 | 29.7696 | 44.3156 | 44.2848   | 7.7585  |
| 0.9616        | 9.0   | 4743 | 1.2663          | 45.6594 | 30.2393 | 44.6785 | 44.7119   | 7.8419  |
| 0.9296        | 10.0  | 5270 | 1.2659          | 45.6149 | 30.0038 | 44.5481 | 44.5275   | 7.7863  |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1