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lijingxin/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from lijingxin. 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 |
|---|---|---|---|---|
| 2.3365 | 1.0 | 318 | 1.6602 | 0.7361 |
| 1.2799 | 2.0 | 636 | 0.8378 | 0.8548 |
| 0.6739 | 3.0 | 954 | 0.4872 | 0.9132 |
| 0.4143 | 4.0 | 1272 | 0.3640 | 0.9352 |
| 0.3051 | 5.0 | 1590 | 0.3168 | 0.9406 |
| 0.2585 | 6.0 | 1908 | 0.2970 | 0.9442 |
| 0.235 | 7.0 | 2226 | 0.2876 | 0.9458 |
| 0.2236 | 8.0 | 2544 | 0.2824 | 0.9458 |
| 0.2168 | 9.0 | 2862 | 0.2794 | 0.9468 |
| 0.2138 | 10.0 | 3180 | 0.2782 | 0.9471 |