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--- |
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base_model: vinai/bartpho-syllable |
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library_name: transformers |
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license: mit |
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metrics: |
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- sacrebleu |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BARTBana_Translation_v01 |
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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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# BARTBana_Translation_v01 |
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This model is a fine-tuned version of [vinai/bartpho-syllable](https://huggingface.co/vinai/bartpho-syllable) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4506 |
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- Sacrebleu: 11.0518 |
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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: 2e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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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: 15 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:---------:| |
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| 0.7912 | 1.0 | 742 | 0.6747 | 2.7391 | |
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| 0.6623 | 2.0 | 1484 | 0.5821 | 5.7331 | |
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| 0.5662 | 3.0 | 2226 | 0.5306 | 7.8025 | |
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| 0.5337 | 4.0 | 2968 | 0.5027 | 8.6825 | |
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| 0.4913 | 5.0 | 3710 | 0.4858 | 9.4253 | |
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| 0.4711 | 6.0 | 4452 | 0.4725 | 9.8687 | |
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| 0.4399 | 7.0 | 5194 | 0.4638 | 10.2200 | |
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| 0.4208 | 8.0 | 5936 | 0.4584 | 10.3954 | |
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| 0.4096 | 9.0 | 6678 | 0.4533 | 10.7019 | |
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| 0.3924 | 10.0 | 7420 | 0.4509 | 10.8096 | |
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| 0.3796 | 11.0 | 8162 | 0.4499 | 10.7237 | |
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| 0.3704 | 12.0 | 8904 | 0.4502 | 10.9647 | |
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| 0.3618 | 13.0 | 9646 | 0.4494 | 10.9840 | |
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| 0.3556 | 14.0 | 10388 | 0.4496 | 11.0433 | |
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| 0.3476 | 15.0 | 11130 | 0.4506 | 11.0518 | |
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### Framework versions |
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- Transformers 4.48.1 |
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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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