---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: t5-base-translation-spa-pbb
  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. -->

# t5-base-translation-spa-pbb

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3448
- Bleu: 0.8589
- Gen Len: 7.8445

## 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
- lr_scheduler_warmup_steps: 10
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 2.6553        | 1.0   | 304  | 2.9772          | 0.9611 | 6.1028  |
| 2.6661        | 2.0   | 608  | 2.7496          | 0.0    | 6.8129  |
| 2.553         | 3.0   | 912  | 2.6381          | 0.0    | 7.2161  |
| 2.6702        | 4.0   | 1216 | 2.5550          | 0.0    | 7.3794  |
| 3.1386        | 5.0   | 1520 | 2.4985          | 0.0    | 7.5744  |
| 2.3387        | 6.0   | 1824 | 2.4607          | 0.9169 | 7.473   |
| 3.3462        | 7.0   | 2128 | 2.4259          | 0.822  | 7.4466  |
| 2.0526        | 8.0   | 2432 | 2.4022          | 1.1966 | 7.8248  |
| 2.4075        | 9.0   | 2736 | 2.3867          | 1.001  | 7.7181  |
| 2.4695        | 10.0  | 3040 | 2.3788          | 1.0691 | 7.6588  |
| 2.3329        | 11.0  | 3344 | 2.3620          | 0.969  | 7.809   |
| 2.5314        | 12.0  | 3648 | 2.3534          | 0.8161 | 8.0     |
| 2.0364        | 13.0  | 3952 | 2.3502          | 0.9381 | 7.8682  |
| 2.1105        | 14.0  | 4256 | 2.3445          | 0.8495 | 7.8682  |
| 2.6594        | 15.0  | 4560 | 2.3448          | 0.8589 | 7.8445  |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0