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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_Replace_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_Replace_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: 0.0029 |
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- Sacrebleu: 20.9762 |
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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: 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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| 0.0673 | 1.0 | 5881 | 0.0335 | 17.7815 | |
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| 0.0401 | 2.0 | 11762 | 0.0124 | 19.8597 | |
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| 0.0218 | 3.0 | 17643 | 0.0067 | 20.5145 | |
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| 0.0141 | 4.0 | 23524 | 0.0046 | 20.7775 | |
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| 0.0096 | 5.0 | 29405 | 0.0039 | 20.8673 | |
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| 0.007 | 6.0 | 35286 | 0.0035 | 20.9294 | |
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| 0.0051 | 7.0 | 41167 | 0.0032 | 20.9362 | |
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| 0.0043 | 8.0 | 47048 | 0.0031 | 20.9635 | |
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| 0.0032 | 9.0 | 52929 | 0.0030 | 20.9887 | |
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| 0.0028 | 10.0 | 58810 | 0.0029 | 20.9762 | |
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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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