Classification on Crowdflower US economic performance (test)
77.3AccuracyBERT_BASE Adapters
Evaluation results
| Method | Links | |
|---|---|---|
| BERT_BASE AdaptersBackbone=BERT_BASE, Evaluation Protocol=Adapter-tuning, Total number of parameters=1.19x, Trained parameters per task=1.14%2019.02 | 77.3 | |
| 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 | 76.5 | |
| No BERT baseline2019.02 | 75.6 | |
| BERT_BASE Fine-tuneBackbone=BERT_BASE, Evaluation Protocol=Fine-tuning, Total number of parameters=17x, Trained parameters per task=100%2019.02 | 75.3 |