---
license: apache-2.0
base_model: Helsinki-NLP/opus-mt-ja-pl
tags:
- generated_from_trainer
datasets:
- tatoeba
metrics:
- bleu
- chrf
model-index:
- name: opus_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: tatoeba
      type: tatoeba
      config: ja-pl
      split: train
      args: ja-pl
    metrics:
    - name: Bleu
      type: bleu
      value: 37.84
language:
- pl
- ja
library_name: transformers
---

<!-- 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_model

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-ja-pl](https://huggingface.co/Helsinki-NLP/opus-mt-ja-pl) on the tatoeba dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6326
- Bleu: 37.8457
- Gen Len: 9.2006
- Meteor: 0.589
- Chrf: 0.589

## Model description

[Helsinki-NLP/opus-mt-ja-pl](https://huggingface.co/Helsinki-NLP/opus-mt-ja-pl) model fine-tuned on tatoeba and some pop culture texts (vn, manga, rpgs).

## Intended uses & limitations

More information needed

## Training and evaluation data

Training with kaggle notebook (GPU) on GPU P100.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 3e-05
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- optimizer: adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP

### Examples

|           Japanese        | Original translation | DeepL | Opus-mt-ja-pl-240813 |
|---------------------------|----------------------|------ |-------------------|
| 今ちょっとやることがあってね   | Mam teraz coś do zrobienia. | Mam teraz kilka rzeczy do zrobienia. | Mam teraz kilka spraw do załatwienia. |
| なぜッあの少女を助けてやらなかったのだ！ | Czemu jej nie pomogłeś!  | Dlaczego nie pomogłeś tej dziewczynie? | Dlaczego jej nie pomogłeś?! |
| ここで何をしている？ | Czego tu szukacie? | Co ty tu robisz? | Co tu robisz? |
| あんたの協力が要る | Potrzebujemy cię. | Potrzebuję twojej pomocy. | Potrzebuję twojej pomocy. |
| こたえはなに？ | A jaka jest właściwie odpowiedź? | Jaka jest odpowiedź? | Co masz na myśli? |
| 一人で寝んのが怖くなったんか？ | Boisz się spać sama? | Boisz się spać samotnie? | Boisz się spać samemu? |

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Bleu    | Gen Len | Meteor | Chrf    |
|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:------:|:-------:|
| 2.5658        | 1.0   | 57000  | 1.6196          | 22.1938 | 9.341   | 0.4576 | 44.3828 |
| 1.8982        | 6.0   | 343170 | 1.9423          | 31.1109 | 9.2355  | 0.5389 | 51.7878 |
| 1.6991        | 11.0  | 629145 | 1.1164          | 37.8457 | 9.2006  | 0.589  | 56.6614 |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1