---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- tatoeba
metrics:
- bleu
model-index:
- name: t5-small-finetuned-es-to-pt
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: tatoeba
      type: tatoeba
      args: es-pt
    metrics:
    - name: Bleu
      type: bleu
      value: 15.0473
---

<!-- 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-small-finetuned-es-to-pt

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the tatoeba dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5557
- Bleu: 15.0473
- Gen Len: 15.8693

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 2.2027        | 1.0   | 1907 | 1.7884          | 11.6192 | 15.8829 |
| 1.9296        | 2.0   | 3814 | 1.6034          | 14.201  | 15.8935 |
| 1.8364        | 3.0   | 5721 | 1.5557          | 15.0473 | 15.8693 |


### Framework versions

- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6