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TransLL/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from TransLL. 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. --
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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 | 318 | 2.0524 | 0.7519 |
| 2.4405 | 2.0 | 636 | 1.0364 | 0.8623 |
| 2.4405 | 3.0 | 954 | 0.5867 | 0.9187 |
| 0.921 | 4.0 | 1272 | 0.4271 | 0.9361 |
| 0.417 | 5.0 | 1590 | 0.3687 | 0.9442 |
| 0.417 | 6.0 | 1908 | 0.3438 | 0.9484 |
| 0.2885 | 7.0 | 2226 | 0.3292 | 0.95 |
| 0.2454 | 8.0 | 2544 | 0.3235 | 0.9490 |
| 0.2454 | 9.0 | 2862 | 0.3206 | 0.95 |
| 0.2309 | 10.0 | 3180 | 0.3186 | 0.9503 |