transformers safetensors marian text2text-generation translation ja en dataset:Mitsua/wikidata-parallel-descriptions-en-ja license:cc-by-sa-4.0 autotrain_compatible endpoints_compatible region:us
---
datasets:
- Mitsua/wikidata-parallel-descriptions-en-ja
language:
- ja
- en
library_name: transformers
license: cc-by-sa-4.0
metrics:
- bleu
- chrf
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.
