Question Answering on schizophrenia dataset 1.0 (test)
90.3PrecisionFine-tuned-BioBERT
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Fine-tuned-BioBERTModel Architecture=BioBERT, Fine-tuning Protocol=Fine-tuned on Schizophrenia dataset2023.09 | 90.3 | 88.5 | 91.6 | 61.7 | |
| Fine-tuned-RoBERTaModel Architecture=RoBERTa, Fine-tuning Protocol=Fine-tuned on Schizophrenia dataset2023.09 | 88.5 | 80.3 | 86.1 | 50.8 | |
| Fine-tuned-DistilBERTModel Architecture=DistilBERT, Fine-tuning Protocol=Fine-tuned on Schizophrenia dataset2023.09 | 80.5 | 78.3 | 83.1 | 43.8 | |
| BioBERTModel Architecture=BioBERT, Fine-tuning Protocol=Pre-trained2023.09 | 79 | 77.5 | 83.1 | 33.9 | |
| RoBERTaModel Architecture=RoBERTa, Fine-tuning Protocol=Pre-trained2023.09 | 74.6 | 74.3 | 77.24 | 42.5 | |
| DistilBERTModel Architecture=DistilBERT, Fine-tuning Protocol=Pre-trained2023.09 | 65.2 | 63.9 | 71.3 | 42.5 |