加载中…
加载中…
This model is a fine-tuned version of google/mobilebert-uncased on the GLUE MRPC 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 | F1 | Combined Score |
|---|---|---|---|---|---|---|
| 0.1838 | 1.0 | 1959 | 0.0138 | 0.9951 | 0.9964 | 0.9958 |
| 0.0406 | 2.0 | 3918 | 0.0055 | 1.0 | 1.0 | 1.0 |
| 0.0267 | 3.0 | 5877 | 0.0129 | 0.9975 | 0.9982 | 0.9979 |
| 0.0151 | 4.0 | 7836 | 0.0004 | 1.0 | 1.0 | 1.0 |
| 0.0108 | 5.0 | 9795 | 0.0104 | 0.9975 | 0.9982 | 0.9979 |
| 0.0075 | 6.0 | 11754 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0059 | 7.0 | 13713 | 0.0005 | 1.0 | 1.0 | 1.0 |
| 0.0047 | 8.0 | 15672 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0033 | 9.0 | 17631 | 0.0001 | 1.0 | 1.0 | 1.0 |
| 0.0031 | 10.0 | 19590 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0025 | 11.0 | 21549 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0019 | 12.0 | 23508 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0019 | 13.0 | 25467 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0014 | 14.0 | 27426 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.001 | 15.0 | 29385 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.001 | 16.0 | 31344 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0009 | 17.0 | 33303 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0009 | 18.0 | 35262 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0006 | 19.0 | 37221 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0006 | 20.0 | 39180 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 21.0 | 41139 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 22.0 | 43098 | 0.0000 | 1.0 | 1.0 | 1.0 |
| 0.0005 | 23.0 | 45057 | 0.0000 | 1.0 | 1.0 | 1.0 |