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This model is a fine-tuned version of gokuls/mobilebert_sa_pre-training-complete on the GLUE QNLI dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.1418 | 1.0 | 819 | 1.0623 | 0.5054 |
| 1.1397 | 2.0 | 1638 | 1.0617 | 0.5054 |
| 1.1439 | 3.0 | 2457 | 1.0634 | 0.5054 |
| 1.1397 | 4.0 | 3276 | 1.0635 | 0.5054 |
| 1.14 | 5.0 | 4095 | 1.0643 | 0.5054 |
| 1.1399 | 6.0 | 4914 | 1.0611 | 0.5054 |
| 1.14 | 7.0 | 5733 | 1.0625 | 0.5054 |
| 1.0013 | 8.0 | 6552 | 0.3801 | 0.8420 |
| 0.3353 | 9.0 | 7371 | 0.2163 | 0.9030 |
| 0.2165 | 10.0 | 8190 | 0.2158 | 0.8984 |
| 0.1593 | 11.0 | 9009 | 0.2205 | 0.9057 |
| 0.126 | 12.0 | 9828 | 0.2291 | 0.9077 |
| 0.1049 | 13.0 | 10647 | 0.2323 | 0.9072 |
| 0.0903 | 14.0 | 11466 | 0.2676 | 0.8984 |
| 0.0819 | 15.0 | 12285 | 0.2377 | 0.9006 |