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--- |
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license: apache-2.0 |
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base_model: Helsinki-NLP/opus-mt-ja-pl |
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tags: |
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- generated_from_trainer |
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datasets: |
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- tatoeba |
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metrics: |
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- bleu |
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model-index: |
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- name: opus_model |
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results: |
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- task: |
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name: Sequence-to-sequence Language Modeling |
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type: text2text-generation |
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dataset: |
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name: tatoeba |
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type: tatoeba |
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config: ja-pl |
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split: train |
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args: ja-pl |
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metrics: |
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- name: Bleu |
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type: bleu |
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value: 34.4952 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# opus_model |
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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. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1164 |
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- Bleu: 34.4952 |
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- Gen Len: 9.442 |
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- Meteor: 0.5692 |
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- Chrf: 53.728 |
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## Model description |
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[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). |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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Training with kaggle notebook (GPU) on GPU P100. |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 8 |
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- mixed_precision_training: Native AMP |
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### Examples |
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| Japanese | Original translation | DeepL | Opus-mt-ja-pl-pop_v2 | |
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|---------------------------|----------------------|------ |-------------------| |
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| 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. | |
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| 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?! | |
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| ここで何をしている？ | Czego tu szukacie? | Co ty tu robisz? | Co tu robisz? | |
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| あんたの協力が要る | Potrzebujemy cię. | Potrzebuję twojej pomocy. | Potrzebuję twojej pomocy. | |
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| こたえはなに？ | A jaka jest właściwie odpowiedź? | Jaka jest odpowiedź? | Co to jest? | |
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| 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 sama? | |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Meteor | Chrf | |
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|:-------------:|:-----:|:------:|:---------------:|:-------:|:-------:|:------:|:-------:| |
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| 2.5658 | 1.0 | 56681 | 1.6196 | 21.6767 | 9.2915 | 0.4586 | 43.4725 | |
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| 2.3419 | 2.0 | 113362 | 1.4667 | 25.4469 | 9.3688 | 0.4916 | 46.3391 | |
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| 2.23 | 3.0 | 170043 | 1.3715 | 27.166 | 9.4895 | 0.5089 | 48.2252 | |
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| 2.1139 | 4.0 | 226724 | 1.2833 | 28.9288 | 9.4581 | 0.5244 | 49.4667 | |
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| 1.9825 | 5.0 | 283405 | 1.2170 | 31.3751 | 9.3229 | 0.5358 | 51.0005 | |
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| 1.8982 | 6.0 | 340086 | 1.1660 | 32.9805 | 9.4976 | 0.5563 | 52.5487 | |
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| 1.8198 | 7.0 | 396767 | 1.1305 | 34.0223 | 9.4436 | 0.5665 | 53.2912 | |
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| 1.7592 | 8.0 | 453448 | 1.1164 | 34.4952 | 9.442 | 0.5692 | 53.728 | |
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### Framework versions |
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- Transformers 4.42.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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