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gokuls/distilbert_add_GLUE_Experiment_qnli_256
distilbert_add_GLUE_Experiment_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 |
|---|---|---|---|---|
| 0.6936 | 1.0 | 410 | 0.6893 | 0.5654 |
| 0.6702 | 2.0 | 820 | 0.6656 | 0.5905 |
| 0.6477 | 3.0 | 1230 | 0.6665 | 0.5966 |
| 0.6369 | 4.0 | 1640 | 0.6665 | 0.5953 |
| 0.627 | 5.0 | 2050 | 0.6724 | 0.5934 |
| 0.6173 | 6.0 | 2460 | 0.6842 | 0.5920 |
| 0.6083 | 7.0 | 2870 | 0.7093 | 0.5810 |