---
license: mit
base_model: flax-community/spanish-t5-small
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
should probably proofread and complete it, then remove this comment. -->

# augmented_t5_pictos

This model is a fine-tuned version of [flax-community/spanish-t5-small](https://huggingface.co/flax-community/spanish-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4052
- Rouge1: 42.0934
- Rouge2: 28.3804
- Rougel: 41.2489
- Rougelsum: 41.3148
- Gen Len: 8.4979

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.3625        | 1.0   | 527  | 2.0249          | 34.7282 | 19.5441 | 33.9362 | 33.9053   | 7.6303  |
| 1.9453        | 2.0   | 1054 | 1.7992          | 37.5587 | 22.5669 | 36.6904 | 36.7767   | 8.2671  |
| 1.7429        | 3.0   | 1581 | 1.6655          | 39.7178 | 24.1301 | 38.8293 | 38.8615   | 8.3462  |
| 1.6306        | 4.0   | 2108 | 1.5791          | 40.8591 | 26.0948 | 40.088  | 40.0812   | 7.9573  |
| 1.461         | 5.0   | 2635 | 1.5204          | 40.6998 | 25.5825 | 39.8972 | 39.9642   | 8.3568  |
| 1.4178        | 6.0   | 3162 | 1.4702          | 41.0675 | 26.4585 | 40.1879 | 40.2333   | 8.4679  |
| 1.3394        | 7.0   | 3689 | 1.4452          | 41.9649 | 27.1925 | 41.0945 | 41.1233   | 8.2329  |
| 1.2844        | 8.0   | 4216 | 1.4210          | 41.9633 | 27.7102 | 40.9804 | 41.0706   | 8.5406  |
| 1.2151        | 9.0   | 4743 | 1.4072          | 41.9336 | 28.0917 | 41.0597 | 41.1328   | 8.4722  |
| 1.215         | 10.0  | 5270 | 1.4052          | 42.0934 | 28.3804 | 41.2489 | 41.3148   | 8.4979  |


### Framework versions

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