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---
license: apache-2.0
language:
- es
- en
base_model: vgaraujov/bart-base-spanish
tags:
- generated_from_trainer
datasets:
- vgaraujov/wmt13
metrics:
- bleu
model-index:
- name: bart-base-translation-es-en
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: 30.222
widget:
- text: Hola, soy BARTO para traducci贸n.
---
<!-- 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. -->
# BARTO (base-sized model) for es-en translation
This model is a fine-tuned version of [BARTO](https://huggingface.co/vgaraujov/bart-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: 1.4562
- Bleu: 30.222
- Gen Len: 42.0952
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.005
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 4
- 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: 5000
### Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.14.4
- Tokenizers 0.13.3
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