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mbart-neutralization_adv-ele – AI Model by davidpedem | AlphaNeural AI
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mbart-neutralization_adv-ele
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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_adv-ele
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: 0.2985
Bleu: 84.3434
Gen Len: 29.6429
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
217
0.3727
77.7706
29.894
No log
2.0
434
0.2985
84.3434
29.6429
Framework versions
Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
