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@@ -9,6 +9,8 @@ metrics:
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  model-index:
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  - name: BERT-BankingClassifier
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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
@@ -23,8 +25,86 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
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-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Intended uses & limitations
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  More information needed
@@ -61,4 +141,4 @@ The following hyperparameters were used during training:
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  - Transformers 4.46.3
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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- - Tokenizers 0.20.3
 
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  model-index:
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  - name: BERT-BankingClassifier
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  results: []
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+ datasets:
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+ - legacy-datasets/banking77
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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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  ## Model description
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+ This model is a BERT (bert-base-uncased) model fine-tuned using the Banking77 dataset for text classification tasks. Banking77 is a dataset designed to categorize customer support messages in the banking and finance domain into 77 distinct categories. This model is specifically tailored for classifying customer complaints and inquiries in the banking sector, helping to assign messages to the correct categories effectively.
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+ label_map = {
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+ 0: "activate_my_card",
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+ 1: "age_limit",
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+ 2: "apple_pay_or_google_pay",
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+ 3: "atm_support",
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+ 4: "automatic_top_up",
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+ 5: "balance_not_updated_after_bank_transfer",
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+ 6: "balance_not_updated_after_cheque_or_cash_deposit",
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+ 7: "beneficiary_not_allowed",
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+ 8: "cancel_transfer",
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+ 9: "card_about_to_expire",
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+ 10: "card_acceptance",
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+ 11: "card_arrival",
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+ 12: "card_delivery_estimate",
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+ 13: "card_linking",
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+ 14: "card_not_working",
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+ 15: "card_payment_fee_charged",
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+ 16: "card_payment_not_recognised",
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+ 17: "card_payment_wrong_exchange_rate",
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+ 18: "card_swallowed",
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+ 19: "cash_withdrawal_charge",
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+ 20: "cash_withdrawal_not_recognised",
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+ 21: "change_pin",
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+ 22: "compromised_card",
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+ 23: "contactless_not_working",
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+ 24: "country_support",
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+ 25: "declined_card_payment",
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+ 26: "declined_cash_withdrawal",
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+ 27: "declined_transfer",
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+ 28: "direct_debit_payment_not_recognised",
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+ 29: "disposable_card_limits",
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+ 30: "edit_personal_details",
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+ 31: "exchange_charge",
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+ 32: "exchange_rate",
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+ 33: "exchange_via_app",
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+ 34: "extra_charge_on_statement",
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+ 35: "failed_transfer",
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+ 36: "fiat_currency_support",
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+ 37: "get_disposable_virtual_card",
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+ 38: "get_physical_card",
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+ 39: "getting_spare_card",
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+ 40: "getting_virtual_card",
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+ 41: "lost_or_stolen_card",
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+ 42: "lost_or_stolen_phone",
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+ 43: "order_physical_card",
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+ 44: "passcode_forgotten",
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+ 45: "pending_card_payment",
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+ 46: "pending_cash_withdrawal",
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+ 47: "pending_top_up",
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+ 48: "pending_transfer",
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+ 49: "pin_blocked",
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+ 50: "receiving_money",
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+ 51: "refund_not_showing_up",
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+ 52: "request_refund",
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+ 53: "reverted_card_payment",
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+ 54: "supported_cards_and_currencies",
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+ 55: "terminate_account",
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+ 56: "top_up_by_bank_transfer_charge",
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+ 57: "top_up_by_card_charge",
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+ 58: "top_up_by_cash_or_cheque",
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+ 59: "top_up_failed",
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+ 60: "top_up_limits",
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+ 61: "top_up_reverted",
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+ 62: "topping_up_by_card",
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+ 63: "transaction_charged_twice",
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+ 64: "transfer_fee_charged",
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+ 65: "transfer_into_account",
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+ 66: "transfer_not_received_by_recipient",
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+ 67: "transfer_timing",
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+ 68: "unable_to_verify_identity",
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+ 69: "verify_my_identity",
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+ 70: "verify_source_of_funds",
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+ 71: "verify_top_up",
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+ 72: "virtual_card_not_working",
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+ 73: "visa_or_mastercard",
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+ 74: "why_verify_identity",
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+ 75: "wrong_amount_of_cash_received",
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+ 76: "wrong_exchange_rate_for_cash_withdrawal"
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+ }
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  ## Intended uses & limitations
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  More information needed
 
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  - Transformers 4.46.3
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  - Pytorch 2.5.1+cu121
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  - Datasets 3.1.0
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+ - Tokenizers 0.20.3