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Fine-tuning PhoBERT
# Fine-tuning PhoBERT
Metadata Cls 15 10
This model is a text classification model fine-tuned on an unknown dataset based on PhoBERT-base-v2. It achieved an accuracy of 99.67% and an F1 score of 99.32% on the evaluation set.
Text Classification
Transformers
M
gechim
1,910
1
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