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--- |
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library_name: transformers |
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language: |
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- hre |
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base_model: facebook/mbart-large-50-many-to-many-mmt |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mBART Hre Vietnamese translation 1.0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# mBART Hre Vietnamese translation 1.0 |
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This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0011 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 336 | 0.1069 | |
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| 0.5938 | 2.0 | 672 | 0.0613 | |
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| 0.0798 | 3.0 | 1008 | 0.0315 | |
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| 0.0798 | 4.0 | 1344 | 0.0154 | |
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| 0.0267 | 5.0 | 1680 | 0.0098 | |
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| 0.0123 | 6.0 | 2016 | 0.0057 | |
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| 0.0123 | 7.0 | 2352 | 0.0062 | |
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| 0.0061 | 8.0 | 2688 | 0.0052 | |
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| 0.0043 | 9.0 | 3024 | 0.0033 | |
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| 0.0043 | 10.0 | 3360 | 0.0031 | |
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| 0.003 | 11.0 | 3696 | 0.0023 | |
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| 0.0024 | 12.0 | 4032 | 0.0023 | |
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| 0.0024 | 13.0 | 4368 | 0.0020 | |
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| 0.0018 | 14.0 | 4704 | 0.0016 | |
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| 0.0016 | 15.0 | 5040 | 0.0020 | |
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| 0.0016 | 16.0 | 5376 | 0.0015 | |
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| 0.0014 | 17.0 | 5712 | 0.0013 | |
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| 0.0011 | 18.0 | 6048 | 0.0011 | |
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| 0.0011 | 19.0 | 6384 | 0.0010 | |
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| 0.0008 | 20.0 | 6720 | 0.0011 | |
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### Framework versions |
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- Transformers 4.47.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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