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2junhyeok/distilbert-base-uncased-finetuned-clinc
distilbert-base-uncased-finetuned-clinc is a machine learning model from 2junhyeok. 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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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 | 60 | 4.5601 | 0.3242 |
| No log | 2.0 | 120 | 3.8715 | 0.6719 |
| No log | 3.0 | 180 | 3.2666 | 0.7542 |
| 3.9732 | 4.0 | 240 | 2.7645 | 0.7971 |
| 3.9732 | 5.0 | 300 | 2.3593 | 0.8255 |
| 3.9732 | 6.0 | 360 | 2.0546 | 0.8465 |
| 3.9732 | 7.0 | 420 | 1.8342 | 0.8652 |
| 2.1994 | 8.0 | 480 | 1.6820 | 0.8758 |
| 2.1994 | 9.0 | 540 | 1.5981 | 0.8826 |
| 2.1994 | 10.0 | 600 | 1.5697 | 0.8839 |