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gokuls/distilbert_add_GLUE_Experiment_logit_kd_wnli
distilbert_add_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 distilbert-base-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 |
|---|---|---|---|---|
| 0.5945 | 1.0 | 3 | 0.3447 | 0.5634 |
| 0.4026 | 2.0 | 6 | 0.3814 | 0.4366 |
| 0.3533 | 3.0 | 9 | 0.3511 | 0.5634 |
| 0.3557 | 4.0 | 12 | 0.3593 | 0.4366 |
| 0.3558 | 5.0 | 15 | 0.3435 | 0.5634 |
| 0.3496 | 6.0 | 18 | 0.3434 | 0.5634 |
| 0.3497 | 7.0 | 21 | 0.3499 | 0.4366 |
| 0.3511 | 8.0 | 24 | 0.3439 | 0.5634 |
| 0.3551 | 9.0 | 27 | 0.3434 | 0.5634 |
| 0.3498 | 10.0 | 30 | 0.3502 | 0.4366 |
| 0.3496 | 11.0 | 33 | 0.3442 | 0.5634 |