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metadata
license: mit
base_model: facebook/mbart-large-50
tags:
  - simplification
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: mbart-neutralization
    results: []

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: 0.0181
  • Bleu: 98.7341
  • Gen Len: 18.4896

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 1.0 440 0.0307 91.2911 18.25
0.2343 2.0 880 0.0181 98.7341 18.4896

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.0
  • Tokenizers 0.15.2