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--- |
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base_model: IAmSkyDra/BARTBana_v4 |
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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_Finetune_v0 |
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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_Finetune_v0 |
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This model is a fine-tuned version of [IAmSkyDra/BARTBana_v4](https://huggingface.co/IAmSkyDra/BARTBana_v4) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4295 |
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- Sacrebleu: 7.5050 |
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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: 100 |
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- eval_batch_size: 100 |
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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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| 0.6831 | 1.0 | 468 | 0.5818 | 3.2556 | |
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| 0.566 | 2.0 | 936 | 0.5188 | 4.6548 | |
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| 0.5127 | 3.0 | 1404 | 0.4878 | 5.3508 | |
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| 0.4804 | 4.0 | 1872 | 0.4683 | 5.8657 | |
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| 0.4558 | 5.0 | 2340 | 0.4551 | 6.2975 | |
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| 0.433 | 6.0 | 2808 | 0.4450 | 6.4311 | |
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| 0.4146 | 7.0 | 3276 | 0.4420 | 6.7296 | |
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| 0.3969 | 8.0 | 3744 | 0.4365 | 6.9791 | |
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| 0.3911 | 9.0 | 4212 | 0.4332 | 7.1487 | |
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| 0.3742 | 10.0 | 4680 | 0.4302 | 7.2803 | |
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| 0.3686 | 11.0 | 5148 | 0.4292 | 7.3851 | |
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| 0.3568 | 12.0 | 5616 | 0.4296 | 7.4003 | |
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| 0.3505 | 13.0 | 6084 | 0.4292 | 7.4202 | |
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| 0.3503 | 14.0 | 6552 | 0.4289 | 7.4984 | |
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| 0.3453 | 15.0 | 7020 | 0.4295 | 7.5050 | |
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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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