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This model is a fine-tuned version of google/mobilebert-uncased on the GLUE RTE 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 |
|---|---|---|---|---|
| 0.4093 | 1.0 | 20 | 0.3917 | 0.5271 |
| 0.4077 | 2.0 | 40 | 0.3922 | 0.5271 |
| 0.4076 | 3.0 | 60 | 0.3916 | 0.5271 |
| 0.4075 | 4.0 | 80 | 0.3921 | 0.5271 |
| 0.4075 | 5.0 | 100 | 0.3925 | 0.5271 |
| 0.4073 | 6.0 | 120 | 0.3915 | 0.5271 |
| 0.4066 | 7.0 | 140 | 0.3916 | 0.5271 |
| 0.4043 | 8.0 | 160 | 0.3937 | 0.5271 |
| 0.3902 | 9.0 | 180 | 0.4440 | 0.5054 |
| 0.3545 | 10.0 | 200 | 0.4575 | 0.4801 |
| 0.3116 | 11.0 | 220 | 0.4770 | 0.4440 |