Upload TFDistilBertForTokenClassification

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_keras_callback
+model-index:
+- name: naya-model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# naya-model
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 10875, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.40.0
+- TensorFlow 2.15.0
+- Datasets 2.18.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForTokenClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "O",
+    "1": "B-CITY",
+    "2": "B-FIRSTNAME",
+    "3": "B-USERNAME",
+    "4": "B-JOBTYPE",
+    "5": "B-PREFIX",
+    "6": "B-LASTNAME",
+    "7": "B-EMAIL",
+    "8": "B-NEARBYGPSCOORDINATE",
+    "9": "B-ACCOUNTNUMBER",
+    "10": "B-ACCOUNTNAME",
+    "11": "I-ACCOUNTNAME",
+    "12": "B-MIDDLENAME",
+    "13": "B-COUNTY",
+    "14": "B-AGE",
+    "15": "B-CREDITCARDCVV",
+    "16": "B-DOB",
+    "17": "I-DOB",
+    "18": "B-MASKEDNUMBER",
+    "19": "B-PASSWORD",
+    "20": "B-SEX",
+    "21": "B-STATE",
+    "22": "B-COMPANYNAME",
+    "23": "I-COMPANYNAME",
+    "24": "B-PHONEIMEI",
+    "25": "B-STREET",
+    "26": "I-STREET",
+    "27": "B-SSN",
+    "28": "I-SSN",
+    "29": "B-IPV4",
+    "30": "B-USERAGENT",
+    "31": "I-USERAGENT",
+    "32": "B-MAC",
+    "33": "B-PIN",
+    "34": "B-IP",
+    "35": "B-URL",
+    "36": "B-DATE",
+    "37": "I-DATE",
+    "38": "B-TIME",
+    "39": "I-TIME",
+    "40": "B-VEHICLEVRM",
+    "41": "B-AMOUNT",
+    "42": "B-ETHEREUMADDRESS",
+    "43": "B-BITCOINADDRESS",
+    "44": "B-LITECOINADDRESS",
+    "45": "B-CREDITCARDNUMBER",
+    "46": "B-IPV6",
+    "47": "I-COUNTY",
+    "48": "B-PHONENUMBER",
+    "49": "B-CREDITCARDISSUER",
+    "50": "B-SECONDARYADDRESS",
+    "51": "I-SECONDARYADDRESS",
+    "52": "B-ZIPCODE",
+    "53": "B-VEHICLEVIN",
+    "54": "I-AGE",
+    "55": "B-GENDER",
+    "56": "B-ORDINALDIRECTION",
+    "57": "B-JOBAREA",
+    "58": "B-HEIGHT",
+    "59": "I-HEIGHT",
+    "60": "B-JOBTITLE",
+    "61": "I-JOBTITLE",
+    "62": "B-BUILDINGNUMBER",
+    "63": "I-PHONENUMBER",
+    "64": "I-CITY",
+    "65": "I-STATE",
+    "66": "B-IBAN",
+    "67": "B-BIC",
+    "68": "B-EYECOLOR",
+    "69": "B-CURRENCYNAME",
+    "70": "I-CURRENCYNAME",
+    "71": "I-GENDER",
+    "72": "B-CURRENCYSYMBOL",
+    "73": "B-CURRENCY",
+    "74": "I-CURRENCY",
+    "75": "B-CURRENCYCODE",
+    "76": "I-MAC",
+    "77": "I-FIRSTNAME",
+    "78": "I-EYECOLOR",
+    "79": "I-PHONEIMEI",
+    "80": "I-ACCOUNTNUMBER",
+    "81": "I-SEX",
+    "82": "I-VEHICLEVIN",
+    "83": "I-MIDDLENAME",
+    "84": "I-PREFIX",
+    "85": "I-ZIPCODE",
+    "86": "I-IP",
+    "87": "I-VEHICLEVRM",
+    "88": "I-IPV6",
+    "89": "I-BUILDINGNUMBER",
+    "90": "I-PIN",
+    "91": "I-IPV4",
+    "92": "I-BITCOINADDRESS",
+    "93": "I-USERNAME",
+    "94": "I-CREDITCARDNUMBER",
+    "95": "I-JOBAREA",
+    "96": "I-PASSWORD",
+    "97": "I-MASKEDNUMBER",
+    "98": "I-URL",
+    "99": "I-EMAIL",
+    "100": "I-NEARBYGPSCOORDINATE",
+    "101": "I-AMOUNT",
+    "102": "I-IBAN"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "B-ACCOUNTNAME": 10,
+    "B-ACCOUNTNUMBER": 9,
+    "B-AGE": 14,
+    "B-AMOUNT": 41,
+    "B-BIC": 67,
+    "B-BITCOINADDRESS": 43,
+    "B-BUILDINGNUMBER": 62,
+    "B-CITY": 1,
+    "B-COMPANYNAME": 22,
+    "B-COUNTY": 13,
+    "B-CREDITCARDCVV": 15,
+    "B-CREDITCARDISSUER": 49,
+    "B-CREDITCARDNUMBER": 45,
+    "B-CURRENCY": 73,
+    "B-CURRENCYCODE": 75,
+    "B-CURRENCYNAME": 69,
+    "B-CURRENCYSYMBOL": 72,
+    "B-DATE": 36,
+    "B-DOB": 16,
+    "B-EMAIL": 7,
+    "B-ETHEREUMADDRESS": 42,
+    "B-EYECOLOR": 68,
+    "B-FIRSTNAME": 2,
+    "B-GENDER": 55,
+    "B-HEIGHT": 58,
+    "B-IBAN": 66,
+    "B-IP": 34,
+    "B-IPV4": 29,
+    "B-IPV6": 46,
+    "B-JOBAREA": 57,
+    "B-JOBTITLE": 60,
+    "B-JOBTYPE": 4,
+    "B-LASTNAME": 6,
+    "B-LITECOINADDRESS": 44,
+    "B-MAC": 32,
+    "B-MASKEDNUMBER": 18,
+    "B-MIDDLENAME": 12,
+    "B-NEARBYGPSCOORDINATE": 8,
+    "B-ORDINALDIRECTION": 56,
+    "B-PASSWORD": 19,
+    "B-PHONEIMEI": 24,
+    "B-PHONENUMBER": 48,
+    "B-PIN": 33,
+    "B-PREFIX": 5,
+    "B-SECONDARYADDRESS": 50,
+    "B-SEX": 20,
+    "B-SSN": 27,
+    "B-STATE": 21,
+    "B-STREET": 25,
+    "B-TIME": 38,
+    "B-URL": 35,
+    "B-USERAGENT": 30,
+    "B-USERNAME": 3,
+    "B-VEHICLEVIN": 53,
+    "B-VEHICLEVRM": 40,
+    "B-ZIPCODE": 52,
+    "I-ACCOUNTNAME": 11,
+    "I-ACCOUNTNUMBER": 80,
+    "I-AGE": 54,
+    "I-AMOUNT": 101,
+    "I-BITCOINADDRESS": 92,
+    "I-BUILDINGNUMBER": 89,
+    "I-CITY": 64,
+    "I-COMPANYNAME": 23,
+    "I-COUNTY": 47,
+    "I-CREDITCARDNUMBER": 94,
+    "I-CURRENCY": 74,
+    "I-CURRENCYNAME": 70,
+    "I-DATE": 37,
+    "I-DOB": 17,
+    "I-EMAIL": 99,
+    "I-EYECOLOR": 78,
+    "I-FIRSTNAME": 77,
+    "I-GENDER": 71,
+    "I-HEIGHT": 59,
+    "I-IBAN": 102,
+    "I-IP": 86,
+    "I-IPV4": 91,
+    "I-IPV6": 88,
+    "I-JOBAREA": 95,
+    "I-JOBTITLE": 61,
+    "I-MAC": 76,
+    "I-MASKEDNUMBER": 97,
+    "I-MIDDLENAME": 83,
+    "I-NEARBYGPSCOORDINATE": 100,
+    "I-PASSWORD": 96,
+    "I-PHONEIMEI": 79,
+    "I-PHONENUMBER": 63,
+    "I-PIN": 90,
+    "I-PREFIX": 84,
+    "I-SECONDARYADDRESS": 51,
+    "I-SEX": 81,
+    "I-SSN": 28,
+    "I-STATE": 65,
+    "I-STREET": 26,
+    "I-TIME": 39,
+    "I-URL": 98,
+    "I-USERAGENT": 31,
+    "I-USERNAME": 93,
+    "I-VEHICLEVIN": 82,
+    "I-VEHICLEVRM": 87,
+    "I-ZIPCODE": 85,
+    "O": 0
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "transformers_version": "4.40.0",
+  "vocab_size": 30522
+}

tf_model.h5

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