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gokuls/mobilebert_sa_GLUE_Experiment_logit_kd_qnli_256
mobilebert_sa_GLUE_Experiment_logit_kd_qnli_256 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 QNLI 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 |
|---|---|---|---|---|
| 1.1009 | 1.0 | 819 | 0.9865 | 0.5988 |
| 1.019 | 2.0 | 1638 | 0.9616 | 0.6163 |
| 0.9743 | 3.0 | 2457 | 0.9672 | 0.6134 |
| 0.942 | 4.0 | 3276 | 0.9724 | 0.6070 |
| 0.9189 | 5.0 | 4095 | 0.9827 | 0.6017 |
| 0.898 | 6.0 | 4914 | 1.0090 | 0.5958 |
| 0.8798 | 7.0 | 5733 | 1.0317 | 0.5967 |