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Chiba-to-hyojun-converter
kinlas/Chiba-to-hyojun-converter
Chiba-to-hyojun-converter is a machine learning model from kinlas. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
checkpoint = "google/mt5-small" tokenizer = MT5Tokenizer.frompretrained(checkpoint, legacy=False) model = MT5ForConditionalGeneration.frompretarined(checkpoint)
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At a glance
- Model type
- mt5
- Access
- Public
- Created
- Dec 10, 2025
- Updated
- Dec 10, 2025
- SHA
- 26abf868
Model card
From the Hugging Face model README
checkpoint = "google/mt5-small" tokenizer = MT5Tokenizer.from_pretrained(checkpoint, legacy=False) model = MT5ForConditionalGeneration.from_pretarined(checkpoint)
- This model is katakana-oriented.
- CharacTEr score = 0.1440
Training
- Trainer: Seq2seqTrainer
- Epochs: 200
- Optimizer: AdamW
- Learning Rate: 2e-5
- Weight decay: 0.01
- Warm-ups: 0.05*total_steps
- Scheduler: cosine
- Type
- mt5
- Languages
- ja
- Created
- Dec 10, 2025
- Updated
- Dec 10, 2025