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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 |
|---|---|---|---|---|
| 0.6943 | 1.0 | 20 | 0.6933 | 0.4765 |
| 0.6944 | 2.0 | 40 | 0.6927 | 0.5271 |
| 0.6932 | 3.0 | 60 | 0.6929 | 0.5271 |
| 0.6931 | 4.0 | 80 | 0.6951 | 0.4729 |
| 0.6932 | 5.0 | 100 | 0.6950 | 0.4729 |
| 0.6918 | 6.0 | 120 | 0.6945 | 0.4440 |
| 0.6889 | 7.0 | 140 | 0.7189 | 0.4621 |