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README.md
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@@ -14,7 +14,7 @@ metrics:
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- F1 : 79.63
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---
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### Performance
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- EM (exact match) : 60.63
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- F1 : 79.63
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@@ -24,7 +24,7 @@ Mô hình XLM-Roberta-base được fine-tune trên tập dữ liệu QA tiếng
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from transformers import pipeline
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# Replace this with your own checkpoint
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model_checkpoint = "chieunq/
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question_answerer = pipeline("question-answering", model=model_checkpoint)
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context = """
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- F1 : 79.63
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---
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We fined-tune model XLM-Roberta-base in UIT-vquad dataset (https://arxiv.org/pdf/2009.14725.pdf)
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### Performance
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- EM (exact match) : 60.63
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- F1 : 79.63
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from transformers import pipeline
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# Replace this with your own checkpoint
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model_checkpoint = "chieunq/XLM-R-base-finetuned-uit-vquad-1"
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question_answerer = pipeline("question-answering", model=model_checkpoint)
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context = """
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