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This model is a fine-tuned version of google/mobilebert-uncased on the GLUE WNLI 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 |
|---|---|---|---|---|
| 0.3469 | 1.0 | 5 | 0.3456 | 0.5634 |
| 0.3467 | 2.0 | 10 | 0.3458 | 0.5634 |
| 0.3466 | 3.0 | 15 | 0.3459 | 0.5634 |
| 0.3466 | 4.0 | 20 | 0.3457 | 0.5634 |
| 0.3466 | 5.0 | 25 | 0.3456 | 0.5634 |
| 0.3466 | 6.0 | 30 | 0.3456 | 0.5634 |
| 0.3466 | 7.0 | 35 | 0.3455 | 0.5634 |
| 0.3466 | 8.0 | 40 | 0.3458 | 0.5634 |
| 0.3466 | 9.0 | 45 | 0.3457 | 0.5634 |
| 0.3465 | 10.0 | 50 | 0.3458 | 0.5634 |
| 0.3466 | 11.0 | 55 | 0.3460 | 0.5634 |
| 0.3465 | 12.0 | 60 | 0.3460 | 0.5634 |