---
tags:
- generated_from_trainer
metrics:
- bleu
model_index:
- name: opus-mt-ja-en-finetuned-ja-to-en_test
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    metric:
      name: Bleu
      type: bleu
      value: 41.7379
---

<!-- 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. -->

# opus-mt-ja-en-finetuned-ja-to-en_test

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-en](https://huggingface.co/Helsinki-NLP/opus-mt-ja-en) on an unkown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2845
- Bleu: 41.7379
- Gen Len: 12.0337

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 1.0   | 20   | 2.4396          | 18.3131 | 11.5506 |
| No log        | 2.0   | 40   | 2.2467          | 27.0591 | 12.0562 |
| No log        | 3.0   | 60   | 2.1419          | 33.5675 | 11.9888 |
| No log        | 4.0   | 80   | 2.1646          | 37.728  | 12.5955 |
| No log        | 5.0   | 100  | 2.1563          | 39.1659 | 12.191  |
| No log        | 6.0   | 120  | 2.2355          | 38.2432 | 11.8652 |
| No log        | 7.0   | 140  | 2.2503          | 41.4545 | 12.0    |
| No log        | 8.0   | 160  | 2.2656          | 43.8778 | 12.2584 |
| No log        | 9.0   | 180  | 2.2816          | 41.1478 | 12.2135 |
| No log        | 10.0  | 200  | 2.2845          | 41.7379 | 12.0337 |


### Framework versions

- Transformers 4.9.1
- Pytorch 1.9.0+cu102
- Datasets 1.10.2
- Tokenizers 0.10.3