Update README.md

README.md

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----
-license: cc-by-sa-4.0
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+---
+license: cc-by-sa-4.0
+datasets:
+- Mitsua/wikidata-parallel-descriptions-en-ja
+language:
+- ja
+- en
+metrics:
+- bleu
+- chrf
+library_name: transformers
+pipeline_tag: translation
+---
+# ElanMT
+This model is a pretrained checkpoint and is suitable for fine-tuning on a large dataset. For general use cases, using [**ElanMT-BT-ja-en**](https://huggingface.co/Mitsua/elan-mt-bt-ja-en) is strongly recommended.
+
+## Model Details
+This is a translation model based on [Marian MT](https://marian-nmt.github.io/) 6-layer encoder-decoder transformer architecture with sentencepiece tokenizer.
+- **Developed by**: [ELAN MITSUA Project](https://elanmitsua.com/en/) / Abstract Engine
+- **Model type**: Translation
+- **Source Language**: Japanese
+- **Target Language**: English
+- **License**: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)
+
+## Usage
+[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#usage)
+
+## Training Data
+[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#training-data)
+
+## Training Procedure
+[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#training-procedure)
+
+## Evaluation
+[See here.](https://huggingface.co/Mitsua/elan-mt-bt-ja-en#evaluation)
+
+## Disclaimer
+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.