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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google-bert/bert-large-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: Bert_large_NER_PII_062024
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Bert_large_NER_PII_062024
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+
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+ This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on the None dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 1.13.1
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+ - Datasets 2.18.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "google-bert/bert-large-uncased",
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+ "architectures": [
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+ "BertForTokenClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "ACCOUNTNAME",
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+ "1": "ACCOUNTNUMBER",
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+ "2": "COINADDRESS",
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+ "3": "ADDRESS",
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+ "4": "AGE",
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+ "5": "BIC",
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+ "6": "CREDITCARDISSUER",
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+ "7": "CREDITCARDNUMBER",
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+ "8": "CURRENCY",
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+ "9": "DATE",
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+ "10": "EMAIL",
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+ "11": "COLOR",
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+ "12": "GENDER",
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+ "13": "GEO",
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+ "14": "HEIGHT",
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+ "15": "JOB",
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+ "16": "MAC",
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+ "17": "MISC",
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+ "18": "USERNAME",
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+ "19": "NAME",
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+ "20": "NEARBYGPSCOORDINATE",
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+ "21": "ORDINALDIRECTION",
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+ "22": "ORG",
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+ "23": "PASSWORD",
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+ "24": "PHONEIMEI",
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+ "25": "PHONENUMBER",
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+ "26": "PREFIX",
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+ "27": "SSN",
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+ "28": "STREET",
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+ "29": "TIME",
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+ "30": "URL",
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+ "31": "VEHICLEVIN",
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+ "32": "VEHICLEVRM",
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+ "33": "ZIPCODE",
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+ "34": "IP",
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+ "35": "NUM",
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+ "36": "BLOODTYPE",
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+ "37": "WEIGHTS",
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+ "38": "DOB",
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+ "39": "GPE",
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+ "40": "IBAN",
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+ "41": "O"
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "position_embedding_type": "absolute",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.0.dev0",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 30522
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+ }
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