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MealDuct/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from MealDuct. 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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.safetensors268 MB · 100%
From the Hugging Face model README
This model is a fine-tuned version of distilbert-base-uncased on an unknown 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 | 2.4830 | 0.7252 |
| 2.8957 | 2.0 | 636 | 1.2862 | 0.8645 |
| 2.8957 | 3.0 | 954 | 0.7035 | 0.9116 |
| 1.1264 | 4.0 | 1272 | 0.4712 | 0.9303 |
| 0.4585 | 5.0 | 1590 | 0.3717 | 0.9403 |
| 0.4585 | 6.0 | 1908 | 0.3314 | 0.9429 |
| 0.2603 | 7.0 | 2226 | 0.3034 | 0.9452 |
| 0.1898 | 8.0 | 2544 | 0.2937 | 0.9432 |
| 0.1898 | 9.0 | 2862 | 0.2877 | 0.9458 |
| 0.1637 | 10.0 | 3180 | 0.2862 | 0.9455 |