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Verified signature--- license: apache-2.0 language: en tags: - sentiment-analysis - large-language-model datasets: - yelp pipeline_tag: text-classification model_details: labels: LABEL_0: "Negative" LABEL_1: "Neutral" LABEL_2: "Positive" metrics: accuracy: 0.7850 precision: 0.7837 recall: 0.7850 f1_score: 0.7840 dataset: name: "Yelp Open Dataset Subset" url: "https://www.kaggle.com/datasets/capple7/yelp-open-data-philly-restaurants" features: - "Review Text" - "Star Ratings (1-5)" preprocessing: sentiment_mapping: Negative: "0-1 stars" Neutral: "1-2 stars" Positive: "3-4 stars" training: pretrained_model: "distilbert-base-uncased" hyperparameter_search: framework: "Optuna" config: learning_rate: 7.91e-5 batch_size: 32 epochs: 2 seed: 5 evaluation: strategy: "End-of-epoch" metrics: - "Accuracy" - "Precision" - "Recall" - "F…b40a66b -
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