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mbart-en-es

Text2Text Generation
Transformers
Safetensors
mbart
simplification
Generated from Trainer
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metadata
library_name: transformers
license: mit
base_model: facebook/mbart-large-50
tags:
  - simplification
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: mbart-en-es
    results: []

mbart-en-es

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: 0.3597
  • Bleu: 76.537
  • Gen Len: 21.5

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 1.0 101 0.5179 65.7698 20.6418
No log 2.0 202 0.3597 76.537 21.5

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu124
  • Datasets 3.4.1
  • Tokenizers 0.21.1