mt5-mini9L

作者 kkuramitsu · 下载 10 · 点赞 0 · 更新 2023-11-02

t5 text2text-generation seq2seq

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This is a small T5 (Text-to-Text Transfer Transformer) model pretrained on Japanese and English corpus.

This modelcard aims to be a base template for new models. It has been generated using this raw template.

Model Details

Model Description

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Uses

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

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Training Details

このモデルは事前学習のみを行なったものであり、特定のタスクに利用するにはファインチューニングする必要があります。
本モデルにも、大規模コーパスを用いた言語モデルにつきまとう、学習データの内容の偏りに由来する偏った(倫理的ではなかったり、有害だったり、バイアスがあったりする)出力結果になる問題が潜在的にあります。 この問題が発生しうることを想定した上で、被害が発生しない用途にのみ利用するよう気をつけてください。

SentencePieceトークナイザーの学習には上記Wikipediaの全データを用いました。

Training Data

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Evaluation

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Summary

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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