mBART Hre Vietnamese translation 1.2

This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0012
  • Bleu: 83.4928

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: 10

Training results

Training Loss Epoch Step Validation Loss Bleu
No log 1.0 336 0.1086 4.3490
0.5946 2.0 672 0.0617 10.2703
0.0834 3.0 1008 0.0302 39.4194
0.0834 4.0 1344 0.0135 56.0138
0.0252 5.0 1680 0.0077 69.3363
0.0097 6.0 2016 0.0046 77.2427
0.0097 7.0 2352 0.0037 81.1891
0.004 8.0 2688 0.0021 85.4589
0.0025 9.0 3024 0.0014 85.5600
0.0025 10.0 3360 0.0012 83.4928

Framework versions

  • Transformers 4.48.2
  • Pytorch 2.5.1+cu124
  • Tokenizers 0.21.0
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