Research Article
Leveraging Pretrained Language Models for Enhanced Entity Matching: A Comprehensive Study of Fine-Tuning and Prompt Learning Paradigms
Table 2
Overview of the hyperparameters.
| | Name | Batch | Epoch | Learning rate | Optimizer | Max gradient norm | Max length |
| | BeerAdvo-RateBeer | 8 | 10 | 1e − 5 | AdamW | 1.0 | 512 | | iTunes-Amazon | 8 | 10 | 1e − 5 | AdamW | 1.0 | 512 | | DBLP-ACM | 16 | 5 | 1e − 5 | AdamW | 1.0 | 512 | | DBLP-Scholar | 16 | 5 | 1e − 5 | AdamW | 1.0 | 512 | | Amazon-Google | 16 | 5 | 1e − 5 | AdamW | 1.0 | 512 | | Walmart-Amazon | 16 | 5 | 1e − 5 | AdamW | 1.0 | 512 | | Abt-Buy | 16 | 5 | 1e − 5 | AdamW | 1.0 | 512 |
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