---
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: 1.7310
- Rouge1: 37.4282
- Rouge2: 22.3689
- Rougel: 36.6759
- Rougelsum: 36.6221
- Gen Len: 8.2137

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.6393        | 1.0   | 264  | 1.9960          | 32.7681 | 17.2065 | 31.9063 | 31.833    | 8.3718  |
| 1.9631        | 2.0   | 528  | 1.7823          | 38.1058 | 22.883  | 37.2227 | 37.1823   | 8.0598  |
| 1.7671        | 3.0   | 792  | 1.7310          | 37.4282 | 22.3689 | 36.6759 | 36.6221   | 8.2137  |


### Framework versions

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