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Kyuyun/distilbert-base-uncased-finetuned-clinc
distilbert-base-uncased-finetuned-clinc is a machine learning model from Kyuyun. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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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.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 |
|---|---|---|---|---|
| 1.9275 | 1.0 | 1907 | 0.8395 | 0.8874 |
| 0.2313 | 2.0 | 3814 | 0.2780 | 0.9355 |
| 0.0579 | 3.0 | 5721 | 0.2584 | 0.9468 |
| 0.0405 | 4.0 | 7628 | 0.2783 | 0.9494 |
| 0.0161 | 5.0 | 9535 | 0.2828 | 0.95 |
| 0.0177 | 6.0 | 11442 | 0.2975 | 0.9487 |
| 0.0075 | 7.0 | 13349 | 0.3080 | 0.9487 |
| 0.0092 | 8.0 | 15256 | 0.3079 | 0.9477 |
| 0.0049 | 9.0 | 17163 | 0.3154 | 0.9503 |
| 0.0033 | 10.0 | 19070 | 0.3187 | 0.9497 |