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hndc/distilbert-base-uncased-distilled-clinc
distilbert-base-uncased-distilled-clinc is a text classification model from hndc. 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 | 3.0714 | 0.7597 |
| 3.5793 | 2.0 | 636 | 1.5648 | 0.8787 |
| 3.5793 | 3.0 | 954 | 0.8139 | 0.9097 |
| 1.3507 | 4.0 | 1272 | 0.5066 | 0.9294 |
| 0.4839 | 5.0 | 1590 | 0.3828 | 0.9397 |
| 0.4839 | 6.0 | 1908 | 0.3368 | 0.94 |
| 0.2437 | 7.0 | 2226 | 0.3195 | 0.9423 |
| 0.1673 | 8.0 | 2544 | 0.3129 | 0.9426 |
| 0.1673 | 9.0 | 2862 | 0.3112 | 0.9435 |