|
--- |
|
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 |
