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This model is a fine-tuned version of google/mobilebert-uncased on the GLUE MNLI 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 |
|---|---|---|---|---|
| 1.0129 | 1.0 | 3068 | 0.9529 | 0.5438 |
| 0.9284 | 2.0 | 6136 | 0.9266 | 0.5593 |
| 0.8999 | 3.0 | 9204 | 0.9055 | 0.5775 |
| 0.8803 | 4.0 | 12272 | 0.8951 | 0.5854 |
| 0.8637 | 5.0 | 15340 | 0.8991 | 0.5886 |
| 0.8472 | 6.0 | 18408 | 0.8907 | 0.5913 |
| 0.8309 | 7.0 | 21476 | 0.8940 | 0.5928 |
| 0.814 | 8.0 | 24544 | 0.8880 | 0.5988 |
| 0.7988 | 9.0 | 27612 | 0.8776 | 0.6022 |
| 0.7825 | 10.0 | 30680 | 0.8958 | 0.6022 |
| 0.7662 | 11.0 | 33748 | 0.8835 | 0.6061 |
| 0.7504 | 12.0 | 36816 | 0.9004 | 0.6041 |
| 0.7359 | 13.0 | 39884 | 0.9252 | 0.6 |
| 0.7204 | 14.0 | 42952 | 0.9131 | 0.6007 |