myeongho-jeong
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README.md
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@@ -63,11 +63,6 @@ Keep in mind that this model hasn't been fine-tuned with instruction-based train
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Our model’s training was comprehensive and diverse:
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- **Data Sources:**
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- English to Korean paragraph pairs: 5.86%
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- Multi-lingual corpus (primarily English): 10.69%
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- Korean web content: 83.46%
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- **Vocabulary Expansion:**
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We meticulously selected 8,960 Korean tokens based on their frequency in our Korean web corpus. This process involved multiple rounds of tokenizer training, manual curation, and token frequency analysis, ensuring a rich and relevant vocabulary for our model.
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Our model’s training was comprehensive and diverse:
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- **Vocabulary Expansion:**
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We meticulously selected 8,960 Korean tokens based on their frequency in our Korean web corpus. This process involved multiple rounds of tokenizer training, manual curation, and token frequency analysis, ensuring a rich and relevant vocabulary for our model.
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