activate_my_card age_limit apple_pay_or_google_pay atm_support automatic_top_up balance_not_updated_after_bank_transfer balance_not_updated_after_cheque_or_cash_deposit beneficiary_not_allowed cancel_transfer card_about_to_expire card_acceptance card_arrival card_delivery_estimate card_linking card_not_working card_payment_fee_charged card_payment_not_recognised card_payment_wrong_exchange_rate card_swallowed cash_withdrawal_charge cash_withdrawal_not_recognised change_pin compromised_card contactless_not_working country_support declined_card_payment declined_cash_withdrawal declined_transfer direct_debit_payment_not_recognised disposable_card_limits edit_personal_details exchange_charge exchange_rate exchange_via_app extra_charge_on_statement failed_transfer fiat_currency_support get_disposable_virtual_card get_physical_card getting_spare_card getting_virtual_card lost_or_stolen_card lost_or_stolen_phone order_physical_card passcode_forgotten pending_card_payment pending_cash_withdrawal pending_top_up pending_transfer pin_blocked receiving_money Refund_not_showing_up request_refund reverted_card_payment? supported_cards_and_currencies terminate_account top_up_by_bank_transfer_charge top_up_by_card_charge top_up_by_cash_or_cheque top_up_failed top_up_limits top_up_reverted topping_up_by_card transaction_charged_twice transfer_fee_charged transfer_into_account transfer_not_received_by_recipient transfer_timing unable_to_verify_identity verify_my_identity verify_source_of_funds verify_top_up virtual_card_not_working visa_or_mastercard why_verify_identity wrong_amount_of_cash_received wrong_exchange_rate_for_cash_withdrawal
---
language: en
tags:
- banking
- intent
- multiclass
datasets:
- banking77
widget:
- text: "How long until my transfer goes through?"
---
# distilroberta-base fine-tuned on banking77 dataset for intent classification
Test set accuray: 0.896

## How to use

```py
from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline

ckpt = 'mrm8488/distilroberta-finetuned-banking77'
tokenizer = AutoTokenizer.from_pretrained(ckpt)
model = AutoModelForSequenceClassification.from_pretrained(ckpt)

classifier = pipeline('text-classification', tokenizer=tokenizer, model=model)
classifier('What is the base of the exchange rates?')
# Output: [{'label': 'exchange_rate', 'score': 0.8509947657585144}]
```

> Created by [Manuel Romero/@mrm8488](https://twitter.com/mrm8488) | [LinkedIn](https://www.linkedin.com/in/manuel-romero-cs/)
> Made with <span style="color: #e25555;">&hearts;</span> in Spain