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---
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
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