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alexyaguirre-reformulation – AI Model by alexyaguirre | AlphaNeural AI
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alexyaguirre-reformulation
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transformers
safetensors
mbart
text2text-generation
reformulation
generated_from_trainer
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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alexyaguirre-reformulation
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: 2.9727
Bleu: 11.4298
Gen Len: 22.4634
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
No log
1.0
21
3.5633
11.4677
20.6585
No log
2.0
42
2.9727
11.4298
22.4634
Framework versions
Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
