mBART Hre Vietnamese translation 1.0

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0011

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: 5e-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: 20

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 336 0.1069
0.5938 2.0 672 0.0613
0.0798 3.0 1008 0.0315
0.0798 4.0 1344 0.0154
0.0267 5.0 1680 0.0098
0.0123 6.0 2016 0.0057
0.0123 7.0 2352 0.0062
0.0061 8.0 2688 0.0052
0.0043 9.0 3024 0.0033
0.0043 10.0 3360 0.0031
0.003 11.0 3696 0.0023
0.0024 12.0 4032 0.0023
0.0024 13.0 4368 0.0020
0.0018 14.0 4704 0.0016
0.0016 15.0 5040 0.0020
0.0016 16.0 5376 0.0015
0.0014 17.0 5712 0.0013
0.0011 18.0 6048 0.0011
0.0011 19.0 6384 0.0010
0.0008 20.0 6720 0.0011

Framework versions

  • Transformers 4.47.1
  • Pytorch 2.5.1+cu124
  • Datasets 3.2.0
  • Tokenizers 0.21.0
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