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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-en-fr |
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tags: |
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- translation |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: tatoeba-tok-fr |
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results: [] |
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language: |
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- tok |
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- fr |
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datasets: |
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- NetherQuartz/tatoeba-tokipona |
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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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# tatoeba-tok-fr |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3544 |
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- Bleu: 23.4181 |
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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 | Bleu | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:| |
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| 1.8608 | 1.0 | 1167 | 1.6433 | 13.4398 | |
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| 1.593 | 2.0 | 2334 | 1.5195 | 17.7658 | |
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| 1.4354 | 3.0 | 3501 | 1.4565 | 15.5366 | |
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| 1.3449 | 4.0 | 4668 | 1.4217 | 19.8814 | |
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| 1.2681 | 5.0 | 5835 | 1.4016 | 19.6534 | |
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| 1.2046 | 6.0 | 7002 | 1.3853 | 21.0562 | |
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| 1.1545 | 7.0 | 8169 | 1.3738 | 19.8606 | |
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| 1.1186 | 8.0 | 9336 | 1.3694 | 20.6401 | |
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| 1.0803 | 9.0 | 10503 | 1.3615 | 20.3338 | |
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| 1.0504 | 10.0 | 11670 | 1.3601 | 23.0924 | |
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| 1.021 | 11.0 | 12837 | 1.3570 | 22.4592 | |
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| 1.0041 | 12.0 | 14004 | 1.3547 | 22.5261 | |
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| 0.9865 | 13.0 | 15171 | 1.3546 | 23.0413 | |
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| 0.9706 | 14.0 | 16338 | 1.3544 | 23.1603 | |
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| 0.9658 | 15.0 | 17505 | 1.3548 | 23.7041 | |
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### Framework versions |
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- Transformers 4.52.4 |
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- Pytorch 2.7.1+cu128 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
