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gokuls/distilbert_sa_GLUE_Experiment_logit_kd_data_aug_qnli_256
distilbert_sa_GLUE_Experiment_logit_kd_data_aug_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. --
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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 |
|---|---|---|---|---|
| 0.329 | 1.0 | 16604 | 0.4367 | 0.5717 |
| 0.2656 | 2.0 | 33208 | 0.4505 | 0.5702 |
| 0.2457 | 3.0 | 49812 | 0.4501 | 0.5814 |
| 0.2364 | 4.0 | 66416 | 0.4499 | 0.5832 |
| 0.2311 | 5.0 | 83020 | 0.4527 | 0.5870 |
| 0.2277 | 6.0 | 99624 | 0.4556 | 0.5887 |