mbart-en-es

LourdesY/mbart-en-es

mbart-en-es is a machine learning model from LourdesY. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: transformers
License: mit
Model type: mbart
Access: Public
Created: Mar 16, 2025
Updated: Mar 18, 2025
SHA: 45fee3f7

Base models

facebook/mbart-large-50

Model card

From the Hugging Face model README

mbart-en-es

This model is a fine-tuned version of facebook/mbart-large-50 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3550
Bleu: 68.0961
Gen Len: 23.7687

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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	101	0.5682	52.2196	46.7388
No log	2.0	202	0.3550	68.0961	23.7687

Framework versions

Transformers 4.49.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1

Library: transformers
Type: mbart
License: mit
Created: Mar 16, 2025
Updated: Mar 18, 2025