mbart-neutralization

vapogore/mbart-neutralization

mbart-neutralization is a machine learning model from vapogore. 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: Feb 15, 2024
Updated: Feb 23, 2024
SHA: 90cfd86b

Base models

facebook/mbart-large-50

Model card

From the Hugging Face model README

mbart-neutralization

This model is a fine-tuned version of facebook/mbart-large-50 on the Spanish Gender Neutralization dataset (hackathon-pln-es/neutral-es ). It achieves the following results on the evaluation set:

Loss: 0.0220
Bleu: 98.2132
Gen Len: 18.5417

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	440	0.0490	96.2659	19.0104
0.2462	2.0	880	0.0220	98.2132	18.5417

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: transformers
Type: mbart
License: mit
Created: Feb 15, 2024
Updated: Feb 23, 2024