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---
license: apache-2.0
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: 80.2723
---
<!-- 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: 0.4737
- Bleu: 80.2723
- Gen Len: 16.5492
## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 1.1237 | 1.0 | 247 | 0.6131 | 60.9383 | 16.4152 |
| 0.5395 | 2.0 | 494 | 0.5274 | 67.5705 | 16.2883 |
| 0.3584 | 3.0 | 741 | 0.5122 | 71.3098 | 16.3777 |
| 0.2563 | 4.0 | 988 | 0.4887 | 73.6639 | 16.401 |
| 0.138 | 5.0 | 1235 | 0.4796 | 76.7942 | 16.4873 |
| 0.0979 | 6.0 | 1482 | 0.4849 | 76.9404 | 16.6162 |
| 0.0792 | 7.0 | 1729 | 0.4806 | 78.9831 | 16.5442 |
| 0.0569 | 8.0 | 1976 | 0.4765 | 79.3461 | 16.4873 |
| 0.0299 | 9.0 | 2223 | 0.4751 | 79.7901 | 16.4863 |
| 0.0204 | 10.0 | 2470 | 0.4737 | 80.2723 | 16.5492 |
### Framework versions
- Transformers 4.9.1
- Pytorch 1.9.0+cu111
- Datasets 1.10.2
- Tokenizers 0.10.3
|