End of training
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README.md
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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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- 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_ReplaceSymWord_v0
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results: []
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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.
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- Sacrebleu:
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## Model description
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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:
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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.
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| 0.
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| 0.0591 | 4.0 | 28444 | 0.0299 | 19.9525 |
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| 0.0498 | 5.0 | 35555 | 0.0261 | 20.4115 |
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### Framework versions
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- Transformers 4.48.
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- Pytorch 2.
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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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_v4
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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_ReplaceSymWord_v0
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results: []
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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: 0.0861
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- Sacrebleu: 15.3102
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## Model description
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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: 3
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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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| 0.3205 | 1.0 | 7111 | 0.2434 | 8.5066 |
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| 0.1779 | 2.0 | 14222 | 0.1138 | 13.6308 |
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| 0.1384 | 3.0 | 21333 | 0.0861 | 15.3102 |
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### Framework versions
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- Transformers 4.48.2
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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