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--- |
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license: cc-by-sa-4.0 |
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datasets: |
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- Mitsua/wikidata-parallel-descriptions-en-ja |
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language: |
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- ja |
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- en |
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metrics: |
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- bleu |
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- chrf |
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library_name: transformers |
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pipeline_tag: translation |
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--- |
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# ElanMT |
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This model is a pretrained checkpoint and is suitable for fine-tuning on a large dataset. For general use cases, using [**ElanMT-BT-en-ja**](https://huggingface.co/Mitsua/elan-mt-bt-en-ja) is strongly recommended. |
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## Model Details |
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This is a translation model based on [Marian MT](https://marian-nmt.github.io/) 6-layer encoder-decoder transformer architecture with sentencepiece tokenizer. |
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- **Developed by**: [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine |
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- **Model type**: Translation |
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- **Source Language**: English |
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- **Target Language**: Japanese |
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- **License**: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/) |
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## Usage |
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[See here.](https://huggingface.co/Mitsua/elan-mt-bt-en-ja#usage) |
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## Training Data |
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[See here.](https://huggingface.co/Mitsua/elan-mt-bt-en-ja#training-data) |
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## Training Procedure |
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[See here.](https://huggingface.co/Mitsua/elan-mt-bt-en-ja#training-procedure) |
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## Evaluation |
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[See here.](https://huggingface.co/Mitsua/elan-mt-bt-en-ja#evaluation) |
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## Disclaimer |
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The translated result may be very incorrect, harmful or biased. The model was developed to investigate achievable performance with only a relatively small, licensed corpus, and is not suitable for use cases requiring high translation accuracy. Under Section 5 of the CC BY-SA 4.0 License, ELAN MITSUA Project / Abstract Engine is not responsible for any direct or indirect loss caused by the use of the model. |
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