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---
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
should probably proofread and complete it, then remove this comment. -->
# 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
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