---
language:
- en
- es
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- opus100
metrics:
- bleu
model-index:
- name: english-spanish-2
  results:
  - task:
      name: Translation
      type: translation
    dataset:
      name: opus100 en-es
      type: opus100
      config: en-es
      split: validation
      args: en-es
    metrics:
    - name: Bleu
      type: bleu
      value: 16.7134
pipeline_tag: 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. -->

# english-spanish-2

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 en-es dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0854
- Bleu: 16.7134
- Gen Len: 43.5938

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.32.0.dev0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3