| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: EN-VI-Machine-Translation-RNN |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # EN-VI-Machine-Translation-RNN |
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| This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7148 |
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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: |
| - learning_rate: 5e-05 |
| - train_batch_size: 256 |
| - eval_batch_size: 256 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
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| ### Training results |
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| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 4.1067 | 1.0 | 521 | 1.1409 | |
| | 0.9338 | 2.0 | 1042 | 0.7844 | |
| | 0.8163 | 3.0 | 1563 | 0.7367 | |
| | 0.7872 | 4.0 | 2084 | 0.7194 | |
| | 0.777 | 5.0 | 2605 | 0.7148 | |
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| ### Framework versions |
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| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.3.1 |
| - Tokenizers 0.21.0 |
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