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--- |
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library_name: transformers |
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license: mit |
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base_model: IAmSkyDra/BARTBana |
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tags: |
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- generated_from_trainer |
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metrics: |
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- sacrebleu |
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model-index: |
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- name: BARTBana_Translation_v2 |
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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_v2 |
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This model is a fine-tuned version of [IAmSkyDra/BARTBana](https://huggingface.co/IAmSkyDra/BARTBana) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4520 |
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- Sacrebleu: 11.7352 |
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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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| 0.695 | 1.0 | 742 | 0.6021 | 6.3321 | |
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| 0.5976 | 2.0 | 1484 | 0.5291 | 8.6429 | |
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| 0.5171 | 3.0 | 2226 | 0.4958 | 9.7101 | |
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| 0.4919 | 4.0 | 2968 | 0.4781 | 10.3323 | |
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| 0.4556 | 5.0 | 3710 | 0.4680 | 10.7812 | |
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| 0.4387 | 6.0 | 4452 | 0.4577 | 10.8965 | |
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| 0.4095 | 7.0 | 5194 | 0.4538 | 11.1963 | |
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| 0.3924 | 8.0 | 5936 | 0.4499 | 11.2119 | |
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| 0.3815 | 9.0 | 6678 | 0.4486 | 11.4155 | |
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| 0.3647 | 10.0 | 7420 | 0.4468 | 11.4443 | |
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| 0.3525 | 11.0 | 8162 | 0.4479 | 11.5941 | |
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| 0.3435 | 12.0 | 8904 | 0.4489 | 11.5933 | |
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| 0.3349 | 13.0 | 9646 | 0.4500 | 11.7211 | |
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| 0.3289 | 14.0 | 10388 | 0.4508 | 11.7113 | |
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| 0.3202 | 15.0 | 11130 | 0.4520 | 11.7352 | |
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### Framework versions |
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- Transformers 4.48.0 |
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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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