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team-nave/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from team-nave. 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 clinc_oos 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 |
|---|---|---|---|---|
| No log | 1.0 | 159 | 3.3516 | 0.6652 |
| 3.4274 | 2.0 | 318 | 2.2866 | 0.7848 |
| 3.4274 | 3.0 | 477 | 1.5064 | 0.8545 |
| 1.6307 | 4.0 | 636 | 1.0204 | 0.8971 |
| 1.6307 | 5.0 | 795 | 0.7421 | 0.9177 |
| 0.7641 | 6.0 | 954 | 0.5838 | 0.9258 |
| 0.7641 | 7.0 | 1113 | 0.4986 | 0.9306 |
| 0.4482 | 8.0 | 1272 | 0.4489 | 0.9365 |
| 0.4482 | 9.0 | 1431 | 0.4258 | 0.9368 |
| 0.3442 | 10.0 | 1590 | 0.4175 | 0.9368 |