accept_reservations account_blocked alarm application_status apr are_you_a_bot balance bill_balance bill_due book_flight book_hotel calculator calendar calendar_update calories cancel cancel_reservation car_rental card_declined carry_on change_accent change_ai_name change_language change_speed change_user_name change_volume confirm_reservation cook_time credit_limit credit_limit_change credit_score current_location damaged_card date definition direct_deposit directions distance do_you_have_pets exchange_rate expiration_date find_phone flight_status flip_coin food_last freeze_account fun_fact gas gas_type goodbye greeting how_busy how_old_are_you improve_credit_score income ingredient_substitution ingredients_list insurance insurance_change interest_rate international_fees international_visa jump_start last_maintenance lost_luggage make_call maybe meal_suggestion meaning_of_life measurement_conversion meeting_schedule min_payment mpg new_card next_holiday next_song no nutrition_info oil_change_how oil_change_when oos order order_checks order_status pay_bill payday pin_change play_music plug_type pto_balance pto_request pto_request_status pto_used recipe redeem_rewards reminder reminder_update repeat replacement_card_duration report_fraud report_lost_card reset_settings restaurant_reservation restaurant_reviews restaurant_suggestion rewards_balance roll_dice rollover_401k routing schedule_maintenance schedule_meeting share_location shopping_list shopping_list_update smart_home spelling spending_history sync_device taxes tell_joke text thank_you time timer timezone tire_change tire_pressure todo_list todo_list_update traffic transactions transfer translate travel_alert travel_notification travel_suggestion uber update_playlist user_name vaccines w2 weather what_are_your_hobbies what_can_i_ask_you what_is_your_name what_song where_are_you_from whisper_mode who_do_you_work_for who_made_you yes
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-finetuned-clinc
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: clinc_oos
      type: clinc_oos
      args: plus
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.9170967741935484
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distilbert-base-uncased-finetuned-clinc

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7755
- Accuracy: 0.9171

## 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:
- learning_rate: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 4.2892        | 1.0   | 318  | 3.2834          | 0.7394   |
| 2.6289        | 2.0   | 636  | 1.8732          | 0.8348   |
| 1.5479        | 3.0   | 954  | 1.1580          | 0.8903   |
| 1.0135        | 4.0   | 1272 | 0.8585          | 0.9077   |
| 0.7968        | 5.0   | 1590 | 0.7755          | 0.9171   |


### Framework versions

- Transformers 4.11.3
- Pytorch 1.12.0+cu113
- Datasets 1.16.1
- Tokenizers 0.10.3
