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This model is a fine-tuned version of google/mobilebert-uncased 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 |
|---|---|---|---|---|
| 0.6934 | 1.0 | 819 | 0.6932 | 0.4939 |
| 0.6933 | 2.0 | 1638 | 0.6933 | 0.4946 |
| 0.6932 | 3.0 | 2457 | 0.6931 | 0.5054 |
| 0.6932 | 4.0 | 3276 | 0.6933 | 0.4946 |
| 0.6932 | 5.0 | 4095 | 0.6931 | 0.5054 |
| 0.6932 | 6.0 | 4914 | 0.6931 | 0.5054 |
| 0.6932 | 7.0 | 5733 | 0.6931 | 0.5054 |
| 0.6932 | 8.0 | 6552 | 0.6931 | 0.5054 |