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gokuls/distilbert_sa_GLUE_Experiment_logit_kd_qnli_256
distilbert_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 distilbert-base-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 |
|---|---|---|---|---|
| 0.4063 | 1.0 | 410 | 0.3929 | 0.5751 |
| 0.3924 | 2.0 | 820 | 0.3920 | 0.5872 |
| 0.3823 | 3.0 | 1230 | 0.3937 | 0.5913 |
| 0.3739 | 4.0 | 1640 | 0.3973 | 0.5865 |
| 0.3668 | 5.0 | 2050 | 0.3997 | 0.5779 |
| 0.3591 | 6.0 | 2460 | 0.4133 | 0.5718 |
| 0.3518 | 7.0 | 2870 | 0.4250 | 0.5649 |