mt5-mini9L

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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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Direct Use

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

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How to Get Started with the Model

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Training Details

• Wikipediaの日本語ダンプデータ (2020年7月6日時点のもの)
• OSCARの日本語コーパス
• CC-100の日本語コーパス

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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Training Procedure

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Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

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Testing Data, Factors & Metrics

Testing Data

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Factors

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Results

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Summary

Model Examination [optional]

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Environmental Impact

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

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Technical Specifications [optional]

Model Architecture and Objective

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Citation [optional]

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Glossary [optional]

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