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petitprince-neutralization – AI Model by pbedmar | AlphaNeural AI
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pbedmar
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petitprince-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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petitprince-neutralization
This model is a fine-tuned version of
facebook/mbart-large-50
on an unknown dataset.
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: 2
eval_batch_size: 2
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: 0.1
Training results
Training Loss
Epoch
Step
Validation Loss
Bleu
Gen Len
No log
0.1
60
5.5756
6.2038
14.61
Framework versions
Transformers 4.50.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
