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This model is a fine-tuned version of google/mobilebert-uncased on the GLUE SST2 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 |
|---|---|---|---|---|
| 0.5233 | 1.0 | 8748 | 0.5730 | 0.8291 |
| 0.3614 | 2.0 | 17496 | 0.5357 | 0.8394 |
| 0.3019 | 3.0 | 26244 | 0.5166 | 0.8509 |
| 0.268 | 4.0 | 34992 | 0.5172 | 0.8509 |
| 0.2465 | 5.0 | 43740 | 0.4833 | 0.8544 |
| 0.2313 | 6.0 | 52488 | 0.5422 | 0.8463 |
| 0.2201 | 7.0 | 61236 | 0.5778 | 0.8303 |
| 0.2113 | 8.0 | 69984 | 0.5364 | 0.8417 |
| 0.204 | 9.0 | 78732 | 0.5428 | 0.8314 |
| 0.198 | 10.0 | 87480 | 0.5442 | 0.8337 |