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This model is a fine-tuned version of google/mobilebert-uncased on the GLUE QQP 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 |
|---|---|---|---|---|---|---|
| 1.2837 | 1.0 | 2843 | 1.2201 | 0.6318 | 0.0 | 0.3159 |
| 1.076 | 2.0 | 5686 | 0.8477 | 0.7443 | 0.5855 | 0.6649 |
| 0.866 | 3.0 | 8529 | 0.8217 | 0.7518 | 0.5924 | 0.6721 |
| 0.8317 | 4.0 | 11372 | 0.8136 | 0.7565 | 0.6243 | 0.6904 |
| 0.8122 | 5.0 | 14215 | 0.8126 | 0.7588 | 0.6352 | 0.6970 |
| 0.799 | 6.0 | 17058 | 0.8079 | 0.7570 | 0.6049 | 0.6810 |
| 386581134871678353408.0000 | 7.0 | 19901 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 8.0 | 22744 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 9.0 | 25587 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 10.0 | 28430 | nan | 0.6318 | 0.0 | 0.3159 |
| 0.0 | 11.0 | 31273 | nan | 0.6318 | 0.0 | 0.3159 |