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mbart-neutralization – AI Model by alkovacs28 | AlphaNeural AI
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alkovacs28
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mbart-neutralization
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transformers
safetensors
mbart
text2text-generation
simplification
generated_from_trainer
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 the None dataset. It achieves the following results on the evaluation set:
Loss: 1.6973
Bleu: 28.5871
Gen Len: 21.107
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
1.8449
1.0
1250
1.7310
26.0865
20.312
1.0201
2.0
2500
1.6973
28.5871
21.107
Framework versions
Transformers 4.52.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
