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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-ja-en
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tags:
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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: ja2en_helsinki
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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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# ja2en_helsinki
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4235
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- Bleu: 24.3293
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- Gen Len: 34.9345
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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: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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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 | Bleu | Gen Len |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
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| 1.8739 | 1.0 | 27518 | 1.7275 | 20.8396 | 34.3259 |
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| 1.6828 | 2.0 | 55036 | 1.5887 | 21.5972 | 34.4103 |
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| 1.5819 | 3.0 | 82554 | 1.5258 | 22.7249 | 34.5991 |
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| 1.4986 | 4.0 | 110072 | 1.4865 | 23.262 | 34.7543 |
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| 1.4142 | 5.0 | 137590 | 1.4625 | 23.2547 | 34.8388 |
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| 1.3783 | 6.0 | 165108 | 1.4501 | 23.7076 | 34.4905 |
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| 1.333 | 7.0 | 192626 | 1.4357 | 23.7245 | 34.7474 |
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| 1.3132 | 8.0 | 220144 | 1.4281 | 23.9473 | 35.006 |
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| 1.2922 | 9.0 | 247662 | 1.4249 | 24.0284 | 34.9741 |
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| 1.2698 | 10.0 | 275180 | 1.4235 | 24.3293 | 34.9345 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0+cu118
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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