 mt5_summarize_japanese  (Japanese caption : 日本語の要約のモデル)  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) trained for Japanese summarization.  This model is fine-tuned on BBC news articles ([XL-Sum Japanese dataset](https://huggingface.co/datasets/csebuetnlp/xlsum/viewer/japanese)), in which the first sentence (headline sentence) is used for summary and others are used for article.<br> So, **please fill news story (including, such as, event, background, result, and comment) as source text in the inferece widget**. (Other corpra - such as, conversation, business document, academic paper, or short tale - are not seen in training set.)  It achieves the following results on the evaluation set: - Loss: 1.8952 - Rouge1: 0.4625 - Rouge2: 0.2866 - Rougel: 0.3656 - Rougelsum: 0.3868  