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dd3434/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from dd3434. 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 | 0.5760 | 0.7213 |
| 0.7603 | 2.0 | 636 | 0.2829 | 0.8848 |
| 0.7603 | 3.0 | 954 | 0.1799 | 0.9187 |
| 0.2791 | 4.0 | 1272 | 0.1401 | 0.9329 |
| 0.1603 | 5.0 | 1590 | 0.1212 | 0.9332 |
| 0.1603 | 6.0 | 1908 | 0.1117 | 0.9384 |
| 0.125 | 7.0 | 2226 | 0.1059 | 0.9377 |
| 0.1105 | 8.0 | 2544 | 0.1024 | 0.9403 |
| 0.1105 | 9.0 | 2862 | 0.1007 | 0.9403 |
| 0.1038 | 10.0 | 3180 | 0.1001 | 0.9397 |