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README.md
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-tagalog-base-uncased-ner-v1
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This model is a fine-tuned version of [jcblaise/bert-tagalog-base-uncased](https://huggingface.co/jcblaise/bert-tagalog-base-uncased) on the None dataset.
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Description
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- The dataset consists of 148 Filipino storytelling books, 5,005 total sentences, 45,792 total tokens, and 5,646 unique tokens.
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- This NER model only supports the Filipino language and does not include proper nouns, verbs, adjectives, and adverbs as of the moment
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- The input must undergo preprocessing. Soon I will upload the code to GitHub for preprocessing the input
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- To replicate the preprocessed input use this example as a guide
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- Input: "May umaapoy na bahay "
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- Preprocessed Input: "apoy bahay"
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# bert-tagalog-base-uncased-ner-v1
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This model is a fine-tuned version of [jcblaise/bert-tagalog-base-uncased](https://huggingface.co/jcblaise/bert-tagalog-base-uncased) on the None dataset.
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