# F1 optimization

Model fine-tuned based on ModernBERT-base, achieving an F1 score of 0.3833 on the evaluation set

A Vietnamese text classification model fine-tuned from vinai/phobert-base-v2, achieving 89.62% accuracy on the validation set

Named entity recognition model fine-tuned on multilingual datasets based on xlm-roberta-base

A text classification model fine-tuned on distilbert-base-uncased for identifying ironic content in tweets

Hate speech detection model fine-tuned on distilbert-base-uncased, trained on tweet_eval dataset

A text sentiment classification model based on DistilBERT, fine-tuned on the emotion dataset with an accuracy of 92.25%