---
library_name: transformers
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ja-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ja2en_helsinki
  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. -->

# ja2en_helsinki

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.
It achieves the following results on the evaluation set:
- Loss: 1.4235
- Bleu: 24.3293
- Gen Len: 34.9345

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|
| 1.8739        | 1.0   | 27518  | 1.7275          | 20.8396 | 34.3259 |
| 1.6828        | 2.0   | 55036  | 1.5887          | 21.5972 | 34.4103 |
| 1.5819        | 3.0   | 82554  | 1.5258          | 22.7249 | 34.5991 |
| 1.4986        | 4.0   | 110072 | 1.4865          | 23.262  | 34.7543 |
| 1.4142        | 5.0   | 137590 | 1.4625          | 23.2547 | 34.8388 |
| 1.3783        | 6.0   | 165108 | 1.4501          | 23.7076 | 34.4905 |
| 1.333         | 7.0   | 192626 | 1.4357          | 23.7245 | 34.7474 |
| 1.3132        | 8.0   | 220144 | 1.4281          | 23.9473 | 35.006  |
| 1.2922        | 9.0   | 247662 | 1.4249          | 24.0284 | 34.9741 |
| 1.2698        | 10.0  | 275180 | 1.4235          | 24.3293 | 34.9345 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.0+cu118
- Datasets 3.0.1
- Tokenizers 0.20.1