---
license: apache-2.0
language:
- en
- es
base_model: vgaraujov/t5-base-spanish
tags:
- generated_from_trainer
datasets:
- vgaraujov/wmt13
metrics:
- bleu
model-index:
- name: t5-base-translation-en-es
  results:
  - task:
      name: Translation
      type: translation
    dataset:
      name: vgaraujov/wmt13 es-en
      type: vgaraujov/wmt13
      config: es-en
      split: validation
      args: es-en
    metrics:
    - name: Bleu
      type: bleu
      value: 30.6296
widget:
- text: Hey, I am T5S for translation.
---

<!-- 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. -->

# T5S (base-sized model) for en-es translation

This model is a fine-tuned version of [T5S](https://huggingface.co/vgaraujov/t5-base-spanish) on a small portion of [WMT13](https://huggingface.co/datasets/vgaraujov/wmt13) es-en dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7643
- Bleu: 30.6296
- Gen Len: 29.2701

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 384
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 10000

### Framework versions

- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3