---
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: 1.3716
- Rouge1: 44.6732
- Rouge2: 29.5427
- Rougel: 44.3407
- Rougelsum: 44.3626
- Gen Len: 8.2906

## 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: 5e-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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.1475        | 1.0   | 527  | 1.7342          | 37.3065 | 21.7821 | 36.9349 | 36.853    | 8.2799  |
| 1.6495        | 2.0   | 1054 | 1.5130          | 42.3167 | 26.6311 | 41.9494 | 41.8617   | 8.1496  |
| 1.445         | 3.0   | 1581 | 1.4049          | 43.5614 | 28.5147 | 43.2416 | 43.2528   | 8.2585  |
| 1.2756        | 4.0   | 2108 | 1.3716          | 44.6732 | 29.5427 | 44.3407 | 44.3626   | 8.2906  |


### Framework versions

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