You can choose from several models for two-sentence text classification. This section describes each model to help you select the one that best fits your scenario.
Two-sentence classification - High-performance version: Uses a proprietary BiLSTM+cross-attention architecture. This model is fast, requires minimal computing resources, and is ideal for high-performance scenarios.
Two-sentence classification - High-accuracy version: Uses the StructBERT two-sentence classification architecture. This model provides high accuracy and is ideal for scenarios that prioritize accuracy over performance.
Performance comparison (for reference only). Results may vary significantly across different datasets.
Model | Dataset | Data volume | Training parameters (default) | Training time (GPU) | Prediction time (CPU) | Accuracy |
|---|---|---|---|---|---|---|
Two-sentence classification - High-performance version | CLUE-tnews | 53,000 | epoch=20 | 16 min | 150 ms | 63.67% |
Two-sentence classification - High-accuracy version | CLUE-tnews | 53,000 | epoch=4 | 46 min | 500 ms | 66.65% |