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mbart-neutralization – AI Model by Irisba | AlphaNeural AI
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Irisba
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mbart-neutralization
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transformers
safetensors
mbart
text2text-generation
simplification
generated_from_trainer
es
somosnlp-hackathon-2022/neutral-es
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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mbart-neutralization
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: 0.0132
Bleu: 98.6021
Gen Len: 18.5104
Intended uses & limitations
Translating Spanish sentences and texts into "neutral", "inclusive" language
Training and evaluation data
Training and evaluation dataset: Spanish Gender Neutralization dataset
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
440
0.0408
97.3967
18.7604
0.2255
2.0
880
0.0132
98.6021
18.5104
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.4.1
Tokenizers 0.21.1
