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README.md

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 # Overview
-The model is based on rinna's [rinna/llama-3-youko-8b], fine-tuned using LoRA on a small number of parallel sentences from English to Japanese. The model has a COMET (Unbabel/wmt22-comet-da) of 0.9011 on flores200 devtest.
+The model is based on rinna's [rinna/llama-3-youko-8b], fine-tuned using LoRA on a small number of parallel sentences from English to Japanese. The model has a COMET (Unbabel/wmt22-comet-da) of 0.9011 and BLEU ("tok": "ja-mecab-0.996-IPA") of 33.1 on flores200 devtest.
 
 * **Model architecture**
 
     A 32-layer, 4096-hidden-size transformer-based language model. Refer to the [Llama 3 Model Card](https://github.com/meta-llama/llama3/blob/main/MODEL_CARD.md) for architecture details.
-* **Training: Built with Meta Llama 3**
-
-    The model was initialized with the [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) model and continually trained on around **22B** tokens from a mixture of the following corpora
-    - [Japanese CC-100](https://huggingface.co/datasets/cc100)
-    - [Japanese C4](https://huggingface.co/datasets/mc4)
-    - [Japanese OSCAR](https://huggingface.co/datasets/oscar-corpus/colossal-oscar-1.0)
-    - [The Pile](https://huggingface.co/datasets/EleutherAI/pile)
-    - [Wikipedia](https://dumps.wikimedia.org/other/cirrussearch)
-    - rinna curated Japanese dataset
-  
-* **Contributors**
-    - [Koh Mitsuda](https://huggingface.co/mitsu-koh)
-    - [Kei Sawada](https://huggingface.co/keisawada)
-
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-
-# Benchmarking
-
-Please refer to [rinna's LM benchmark page](https://rinnakk.github.io/research/benchmarks/lm/index.html).
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 # How to use the model