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README.md
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metrics:
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- f1
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---
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- th
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metrics:
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---
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This is a Named Entity Recognition model that trained with [Thai NER v2.0 Corpus](https://huggingface.co/datasets/pythainlp/thainer-corpus-v2)
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The model was trained by [WangchanBERTa base model](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased).
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Validation from the Validation set
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- Precision: 0.830336794125095
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- Recall: 0.873701039168665
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- F1: 0.8514671513892494
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- Accuracy: 0.9736483416628805
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Test from the Test set
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- Precision: 0.8199168093956447
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- Recall: 0.8781446540880503
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- F1: 0.8480323927622422
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- Accuracy: 0.9724346779516247
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Download: [HuggingFace Hub](https://huggingface.co/datasets/pythainlp/thainer-corpus-v2)
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Read more: [Thai NER v2.0](https://pythainlp.github.io/Thai-NER/version/2)
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## Cite
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> Wannaphong Phatthiyaphaibun. (2022). Thai NER 2.0 (2.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7761354
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or BibTeX
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```
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@dataset{wannaphong_phatthiyaphaibun_2022_7761354,
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author = {Wannaphong Phatthiyaphaibun},
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title = {Thai NER 2.0},
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month = sep,
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year = 2022,
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publisher = {Zenodo},
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version = {2.0},
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doi = {10.5281/zenodo.7761354},
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url = {https://doi.org/10.5281/zenodo.7761354}
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}
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```
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