DeepMount00
commited on
End of training
Browse files- README.md +52 -0
- config.json +239 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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license: mit
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base_model: dbmdz/bert-base-italian-xxl-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: Italin_NER_XXL
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results: []
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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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# Italin_NER_XXL
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This model is a fine-tuned version of [dbmdz/bert-base-italian-xxl-cased](https://huggingface.co/dbmdz/bert-base-italian-xxl-cased) on the None dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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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- num_epochs: 8
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "dbmdz/bert-base-italian-xxl-cased",
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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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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-INDIRIZZO",
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"2": "I-INDIRIZZO",
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"3": "B-VALUTA",
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"4": "I-VALUTA",
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"5": "B-CVV",
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"6": "I-CVV",
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"7": "B-NUMERO_CONTO",
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"8": "I-NUMERO_CONTO",
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"9": "B-BIC",
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"10": "I-BIC",
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"11": "B-IBAN",
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"12": "I-IBAN",
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"13": "B-STATO",
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"14": "I-STATO",
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"15": "B-NOME",
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"16": "I-NOME",
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"17": "B-COGNOME",
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"18": "I-COGNOME",
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"19": "B-CODICE_POSTALE",
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"20": "I-CODICE_POSTALE",
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"21": "B-IP",
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"22": "I-IP",
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"23": "B-ORARIO",
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"24": "I-ORARIO",
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"25": "B-URL",
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"26": "I-URL",
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"27": "B-LUOGO",
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"28": "I-LUOGO",
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"29": "B-IMPORTO",
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"30": "I-IMPORTO",
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"31": "B-EMAIL",
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"32": "I-EMAIL",
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"33": "B-PASSWORD",
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"34": "I-PASSWORD",
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"35": "B-NUMERO_CARTA",
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"36": "I-NUMERO_CARTA",
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"37": "B-TARGA_VEICOLO",
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"38": "I-TARGA_VEICOLO",
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"39": "B-DATA_NASCITA",
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"40": "I-DATA_NASCITA",
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"41": "B-DATA_MORTE",
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"42": "I-DATA_MORTE",
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"43": "B-RAGIONE_SOCIALE",
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"44": "I-RAGIONE_SOCIALE",
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"45": "B-ETA",
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"46": "I-ETA",
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"47": "B-DATA",
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"48": "I-DATA",
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"49": "B-PROFESSIONE",
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"50": "I-PROFESSIONE",
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"51": "B-PIN",
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"52": "I-PIN",
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"53": "B-NUMERO_TELEFONO",
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"54": "I-NUMERO_TELEFONO",
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"55": "B-FOGLIO",
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"56": "I-FOGLIO",
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"57": "B-PARTICELLA",
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"58": "I-PARTICELLA",
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"59": "B-CARTELLA_CLINICA",
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"60": "I-CARTELLA_CLINICA",
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"61": "B-MALATTIA",
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"62": "I-MALATTIA",
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"63": "B-MEDICINA",
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"64": "I-MEDICINA",
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"65": "B-CODICE_FISCALE",
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"66": "I-CODICE_FISCALE",
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"67": "B-NUMERO_DOCUMENTO",
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"68": "I-NUMERO_DOCUMENTO",
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"69": "B-STORIA_CLINICA",
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"70": "I-STORIA_CLINICA",
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"71": "B-AVV_NOTAIO",
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"72": "I-AVV_NOTAIO",
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"73": "B-P_IVA",
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"74": "I-P_IVA",
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"75": "B-LEGGE",
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"76": "I-LEGGE",
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"77": "B-TASSO_MUTUO",
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"78": "I-TASSO_MUTUO",
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"79": "B-N_SENTENZA",
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"80": "I-N_SENTENZA",
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"81": "B-MAPPALE",
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"82": "I-MAPPALE",
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"83": "B-SUBALTERNO",
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"84": "I-SUBALTERNO",
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"85": "B-REGIME_PATRIMONIALE",
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"86": "I-REGIME_PATRIMONIALE",
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"87": "B-STATO_CIVILE",
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"88": "I-STATO_CIVILE",
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"89": "B-BANCA",
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"90": "I-BANCA",
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"91": "B-BRAND",
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"92": "I-BRAND",
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"93": "B-NUM_ASSEGNO_BANCARIO",
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"94": "I-NUM_ASSEGNO_BANCARIO",
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"95": "B-IMEI",
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"96": "I-IMEI",
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"97": "B-N_LICENZA",
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"98": "I-N_LICENZA",
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"99": "B-IPV6_1",
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"100": "I-IPV6_1",
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"101": "B-MAC",
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"102": "I-MAC",
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"103": "B-USER_AGENT",
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"104": "I-USER_AGENT"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"B-AVV_NOTAIO": 71,
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"B-BANCA": 89,
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"B-BIC": 9,
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"B-BRAND": 91,
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"B-CARTELLA_CLINICA": 59,
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"B-CODICE_FISCALE": 65,
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"B-CODICE_POSTALE": 19,
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"B-COGNOME": 17,
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"B-CVV": 5,
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"B-DATA": 47,
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"B-DATA_MORTE": 41,
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"B-DATA_NASCITA": 39,
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"B-EMAIL": 31,
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"B-ETA": 45,
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"B-FOGLIO": 55,
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"B-IBAN": 11,
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"B-IMEI": 95,
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"B-IMPORTO": 29,
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"B-INDIRIZZO": 1,
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"B-IP": 21,
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"B-IPV6_1": 99,
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"B-LEGGE": 75,
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"B-LUOGO": 27,
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"B-MAC": 101,
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"B-MALATTIA": 61,
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"B-MAPPALE": 81,
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"B-MEDICINA": 63,
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"B-NOME": 15,
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"B-NUMERO_CARTA": 35,
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"B-NUMERO_CONTO": 7,
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"B-NUMERO_DOCUMENTO": 67,
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"B-NUMERO_TELEFONO": 53,
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"B-NUM_ASSEGNO_BANCARIO": 93,
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"B-N_LICENZA": 97,
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"B-N_SENTENZA": 79,
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"B-ORARIO": 23,
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"B-PARTICELLA": 57,
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"B-PASSWORD": 33,
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"B-PIN": 51,
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"B-PROFESSIONE": 49,
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"B-P_IVA": 73,
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"B-RAGIONE_SOCIALE": 43,
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"B-REGIME_PATRIMONIALE": 85,
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"B-STATO": 13,
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"B-STATO_CIVILE": 87,
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"B-STORIA_CLINICA": 69,
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"B-SUBALTERNO": 83,
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"B-TARGA_VEICOLO": 37,
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"B-TASSO_MUTUO": 77,
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"B-URL": 25,
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"B-USER_AGENT": 103,
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"B-VALUTA": 3,
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"I-AVV_NOTAIO": 72,
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"I-BANCA": 90,
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"I-BIC": 10,
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"I-BRAND": 92,
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"I-CARTELLA_CLINICA": 60,
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"I-CODICE_FISCALE": 66,
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"I-CODICE_POSTALE": 20,
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"I-COGNOME": 18,
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"I-CVV": 6,
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"I-DATA": 48,
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"I-DATA_MORTE": 42,
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"I-DATA_NASCITA": 40,
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"I-EMAIL": 32,
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"I-ETA": 46,
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"I-FOGLIO": 56,
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"I-IBAN": 12,
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"I-IMEI": 96,
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"I-IMPORTO": 30,
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"I-INDIRIZZO": 2,
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"I-IP": 22,
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"I-IPV6_1": 100,
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"I-LEGGE": 76,
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"I-LUOGO": 28,
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"I-MAC": 102,
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"I-MALATTIA": 62,
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"I-MAPPALE": 82,
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"I-MEDICINA": 64,
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"I-NOME": 16,
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"I-NUMERO_CARTA": 36,
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"I-NUMERO_CONTO": 8,
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"I-NUMERO_DOCUMENTO": 68,
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"I-NUMERO_TELEFONO": 54,
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"I-NUM_ASSEGNO_BANCARIO": 94,
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"I-N_LICENZA": 98,
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"I-N_SENTENZA": 80,
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"I-ORARIO": 24,
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"I-PARTICELLA": 58,
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"I-PASSWORD": 34,
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"I-PIN": 52,
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"I-PROFESSIONE": 50,
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"I-P_IVA": 74,
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"I-RAGIONE_SOCIALE": 44,
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"I-REGIME_PATRIMONIALE": 86,
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"I-STATO": 14,
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"I-STATO_CIVILE": 88,
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"I-STORIA_CLINICA": 70,
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"I-SUBALTERNO": 84,
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"I-TARGA_VEICOLO": 38,
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"I-TASSO_MUTUO": 78,
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"I-URL": 26,
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"I-USER_AGENT": 104,
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"I-VALUTA": 4,
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"O": 0
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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": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 32102
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}
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:db9c598b74073536ab4c8803fdf88bf56ac5a886f7eb91d6517d2277fc18d88d
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size 440766692
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special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"104": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"max_len": 512,
|
50 |
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"model_max_length": 512,
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"never_split": null,
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"pad_token": "[PAD]",
|
53 |
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"sep_token": "[SEP]",
|
54 |
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"strip_accents": null,
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55 |
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"tokenize_chinese_chars": true,
|
56 |
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"tokenizer_class": "BertTokenizer",
|
57 |
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"unk_token": "[UNK]"
|
58 |
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}
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:f695280a4a75b9011dbde72764310ed5b0c701bb8d872a73d3325acb43de37d4
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3 |
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size 4664
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vocab.txt
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