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sahilchat/m1_promptguard_deberta
m1_promptguard_deberta is a text classification model from sahilchat. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
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 microsoft/deberta-v3-base on the None dataset. It achieves the following results on the evaluation set:
More information needed
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More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Fpr |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 1250 | nan | 0.5 | 0 | 0.0 | 0 | 0.0 |
| 0.0 | 2.0 | 2500 | nan | 0.5 | 0 | 0.0 | 0 | 0.0 |
| 0.0 | 3.0 | 3750 | nan | 0.5 | 0 | 0.0 | 0 | 0.0 |