---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-en-jap
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: translate-en-ja
  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. -->

# translate-en-ja

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-jap](https://huggingface.co./Helsinki-NLP/opus-mt-en-jap) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4240
- Bleu: 0.2880

## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.16.0
- Tokenizers 0.19.1