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README.md
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name: B-K/thai-g2p
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type: B-K/thai-g2p
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config: default
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split:
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metrics:
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- type: cer
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value: 0.094
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This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on the [B-K/thai-g2p](https://huggingface.co/datasets/B-K/thai-g2p) dataset for Thai Grapheme-to-Phoneme (G2P) conversion.
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It achieves the following results on the evaluation set:
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- Loss: 1.5449
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- CER: 0.094
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name: B-K/thai-g2p
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type: B-K/thai-g2p
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config: default
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split: sentence_validation
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metrics:
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- type: cer
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value: 0.094
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This model is a fine-tuned version of [google/umt5-small](https://huggingface.co/google/umt5-small) on the [B-K/thai-g2p](https://huggingface.co/datasets/B-K/thai-g2p) dataset for Thai Grapheme-to-Phoneme (G2P) conversion.
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It achieves the following results on the sentence evaluation set:
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- Loss: 1.5449
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- CER: 0.094
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