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--- |
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base_model: IAmSkyDra/BARTBana_v3 |
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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_v3 |
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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_v3 |
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This model is a fine-tuned version of [IAmSkyDra/BARTBana_v3](https://huggingface.co/IAmSkyDra/BARTBana_v3) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4571 |
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- Sacrebleu: 11.0566 |
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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: 10 |
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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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| 0.7013 | 1.0 | 742 | 0.6063 | 6.2147 | |
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| 0.6067 | 2.0 | 1484 | 0.5359 | 8.3509 | |
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| 0.5273 | 3.0 | 2226 | 0.5025 | 9.5105 | |
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| 0.5043 | 4.0 | 2968 | 0.4846 | 10.0064 | |
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| 0.4699 | 5.0 | 3710 | 0.4747 | 10.4437 | |
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| 0.4558 | 6.0 | 4452 | 0.4658 | 10.6266 | |
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| 0.4296 | 7.0 | 5194 | 0.4613 | 10.8692 | |
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| 0.417 | 8.0 | 5936 | 0.4582 | 10.9131 | |
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| 0.4127 | 9.0 | 6678 | 0.4567 | 11.0361 | |
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| 0.4021 | 10.0 | 7420 | 0.4571 | 11.0566 | |
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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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