Question Answering On Medturkquad Medical
Metrics
Exact Match
F1 Score
Results
Performance results of various models on this benchmark
Model Name | Exact Match | F1 Score | Paper Title | Repository |
---|---|---|---|---|
BERTurk (cased, 128k) | 55.121 | 77.187 | Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches | - |
BERTurk (cased, 32k) | 51.097 | 74.148 | Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches | - |
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