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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Model tree for ntviet/mbart-hre-viet1.2
Base model
facebook/mbart-large-50-many-to-many-mmt