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gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_wnli
mobilebert_sa_GLUE_Experiment_logit_kd_wnli is a text classification model from gokuls. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
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:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3479 | 1.0 | 5 | 0.3456 | 0.5634 |
| 0.3475 | 2.0 | 10 | 0.3477 | 0.4366 |
| 0.3466 | 3.0 | 15 | 0.3461 | 0.5634 |
| 0.3465 | 4.0 | 20 | 0.3449 | 0.5634 |
| 0.3468 | 5.0 | 25 | 0.3451 | 0.5634 |
| 0.3467 | 6.0 | 30 | 0.3461 | 0.5634 |
| 0.3465 | 7.0 | 35 | 0.3464 | 0.5634 |
| 0.3466 | 8.0 | 40 | 0.3466 | 0.5634 |
| 0.3468 | 9.0 | 45 | 0.3458 | 0.5634 |