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Browse files- README.md +14 -4
- config.json +1 -1
- pytorch_model.bin +1 -1
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README.md
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---
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tags:
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- generated_from_trainer
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model_index:
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- name: opus-mt-ja-en-finetuned-ja-to-en_test
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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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---
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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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# opus-mt-ja-en-finetuned-ja-to-en_test
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This model is a fine-tuned version of [
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu
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### Framework versions
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---
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model_index:
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- name: opus-mt-ja-en-finetuned-ja-to-en_test
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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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metric:
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name: Bleu
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type: bleu
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value: 61.9426
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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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# opus-mt-ja-en-finetuned-ja-to-en_test
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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.
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It achieves the following results on the evaluation set:
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- Loss: 0.5706
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- Bleu: 61.9426
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- Gen Len: 16.5036
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| 1.0668 | 1.0 | 247 | 0.5706 | 61.9426 | 16.5036 |
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### Framework versions
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config.json
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{
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"_name_or_path": "
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "swish",
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{
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"_name_or_path": "Helsinki-NLP/opus-mt-ja-en",
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"_num_labels": 3,
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"activation_dropout": 0.0,
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"activation_function": "swish",
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pytorch_model.bin
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