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omshikhare/dbert-pii-detection-model
dbert-pii-detection-model is a token classification model from omshikhare. Use it when you need labels on individual words, such as names. 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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From the Hugging Face model README
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
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The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | Classification Report |
|---|---|---|---|---|---|---|---|---|
| 0.6243 | 1.0 | 1609 | 0.4623 | 0.3800 | 0.4252 | 0.4014 | 0.8613 | {'B-ACCOUNTNAME': {'precision': 0.9016736401673641, 'recall': 0.8086303939962477, 'f1-score': 0.8526211671612265, 'support': 533.0}, 'B-ACCOUNTNUMBER': {'precision': 0.573943661971831, 'recall': 0.9226415094339623, 'f1-score': 0.7076700434153401, 'support': 530.0}, 'B-AGE': {'precision': 0.9655172413793104, 'recall': 0.18584070796460178, 'f1-score': 0.3116883116883117, 'support': 452.0}, 'B-AMOUNT': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 266.0}, 'B-BIC': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 152.0}, 'B-BITCOINADDRESS': {'precision': 0.7135416666666666, 'recall': 0.8954248366013072, 'f1-score': 0.7942028985507247, 'support': 459.0}, 'B-CREDITCARDCVV': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 175.0}, 'B-CREDITCARDISSUER': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 294.0}, 'B-CREDITCARDNUMBER': {'precision': 0.46622889305816134, 'recall': 0.9430740037950665, 'f1-score': 0.6239799121155053, 'support': 527.0}, 'B-CURRENCY': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 348.0}, 'B-CURRENCYCODE': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 177.0}, 'B-CURRENCYNAME': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 155.0}, 'B-CURRENCYSYMBOL': {'precision': 0.47297297297297297, 'recall': 0.21428571428571427, 'f1-score': 0.2949438202247191, 'support': 490.0}, 'B-DATE': {'precision': 0.565410199556541, 'recall': 0.8547486033519553, 'f1-score': 0.6806049822064056, 'support': 895.0}, 'B-DOB': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 481.0}, 'B-EMAIL': {'precision': 0.7891231964483907, 'recall': 0.8723926380368098, 'f1-score': 0.8286713286713286, 'support': 815.0}, 'B-ETHEREUMADDRESS': {'precision': 0.9806451612903225, 'recall': 0.9411764705882353, 'f1-score': 0.9605055292259084, 'support': 323.0}, 'B-EYECOLOR': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 176.0}, 'B-GENDER': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 472.0}, 'B-HEIGHT': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 169.0}, 'B-IBAN': {'precision': 0.8633333333333333, 'recall': 0.6870026525198939, 'f1-score': 0.7651403249630724, 'support': 377.0}, 'B-IP': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 386.0}, 'B-IPV4': {'precision': 0.6032719836400818, 'recall': 0.5534709193245778, 'f1-score': 0.5772994129158513, 'support': 533.0}, 'B-IPV6': {'precision': 0.648729446935725, 'recall': 0.8714859437751004, 'f1-score': 0.7437874892887746, 'support': 498.0}, 'B-JOBAREA': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 551.0}, 'B-JOBTITLE': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 590.0}, 'B-JOBTYPE': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 538.0}, 'B-LITECOINADDRESS': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 162.0}, 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| 0.3168 | 2.0 | 3218 | 0.2627 | 0.5706 | 0.6327 | 0.6001 | 0.9121 | {'B-ACCOUNTNAME': {'precision': 0.9548736462093863, 'recall': 0.9924953095684803, 'f1-score': 0.9733210671573137, 'support': 533.0}, 'B-ACCOUNTNUMBER': {'precision': 0.9012567324955116, 'recall': 0.9471698113207547, 'f1-score': 0.9236430542778289, 'support': 530.0}, 'B-AGE': {'precision': 0.8801089918256131, 'recall': 0.7146017699115044, 'f1-score': 0.7887667887667887, 'support': 452.0}, 'B-AMOUNT': {'precision': 0.6666666666666666, 'recall': 0.022556390977443608, 'f1-score': 0.04363636363636364, 'support': 266.0}, 'B-BIC': {'precision': 0.9833333333333333, 'recall': 0.3881578947368421, 'f1-score': 0.5566037735849056, 'support': 152.0}, 'B-BITCOINADDRESS': {'precision': 0.8361266294227188, 'recall': 0.9782135076252724, 'f1-score': 0.9016064257028112, 'support': 459.0}, 'B-CREDITCARDCVV': {'precision': 0.0, 'recall': 0.0, 'f1-score': 0.0, 'support': 175.0}, 'B-CREDITCARDISSUER': {'precision': 0.8244274809160306, 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The model card is truncated. Read the rest on Hugging Face.