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chansick/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from chansick. 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 |
|---|---|---|---|---|
| 3.9517 | 1.0 | 318 | 2.9452 | 0.7232 |
| 2.252 | 2.0 | 636 | 1.4834 | 0.8548 |
| 1.1302 | 3.0 | 954 | 0.7726 | 0.9155 |
| 0.5934 | 4.0 | 1272 | 0.4945 | 0.9358 |
| 0.3609 | 5.0 | 1590 | 0.3940 | 0.9377 |
| 0.2578 | 6.0 | 1908 | 0.3508 | 0.9416 |
| 0.2099 | 7.0 | 2226 | 0.3363 | 0.9474 |
| 0.1878 | 8.0 | 2544 | 0.3290 | 0.9494 |
| 0.1779 | 9.0 | 2862 | 0.3285 | 0.9477 |