Classification on Crowdflower disasters (test)
0.853AccuracyBERT_BASE Fine-tune
Evaluation results
| Method | Links | |
|---|---|---|
| BERT_BASE Fine-tuneBackbone=BERT_BASE, Evaluation Protocol=Fine-tuning, Total number of parameters=17x, Trained parameters per task=100%2019.02 | 0.853 | |
| BERT_BASE Variable FTBackbone=BERT_BASE, Evaluation Protocol=Variable Fine-tuning, Total number of parameters=9.9x, Trained parameters per task=52.9%2019.02 | 0.853 | |
| No BERT baseline2019.02 | 0.849 | |
| BERT_BASE AdaptersBackbone=BERT_BASE, Evaluation Protocol=Adapter-tuning, Total number of parameters=1.19x, Trained parameters per task=1.14%2019.02 | 0.841 |