cwchang commited on
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End of training

Browse files
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: my-awesome-tx-v2
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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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+ # my-awesome-tx-v2
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3863
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+ - Accuracy: 0.9493
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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: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 469 | 2.6771 | 0.816 |
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+ | 3.9145 | 2.0 | 938 | 1.1744 | 0.901 |
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+ | 1.7848 | 3.0 | 1407 | 0.6144 | 0.9333 |
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+ | 0.7926 | 4.0 | 1876 | 0.4327 | 0.9477 |
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+ | 0.4466 | 5.0 | 2345 | 0.3863 | 0.9493 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "distilbert-base-uncased",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "accept_reservations",
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+ "1": "account_blocked",
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+ "2": "alarm",
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+ "3": "application_status",
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+ "4": "apr",
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+ "5": "are_you_a_bot",
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+ "6": "balance",
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+ "7": "bill_balance",
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+ "8": "bill_due",
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+ "9": "book_flight",
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+ "10": "book_hotel",
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+ "11": "calculator",
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+ "12": "calendar",
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+ "13": "calendar_update",
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+ "14": "calories",
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+ "15": "cancel",
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+ "16": "cancel_reservation",
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+ "17": "car_rental",
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+ "18": "card_declined",
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+ "19": "carry_on",
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+ "20": "change_accent",
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+ "21": "change_ai_name",
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+ "22": "change_language",
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+ "23": "change_speed",
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+ "24": "change_user_name",
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+ "25": "change_volume",
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+ "26": "confirm_reservation",
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+ "27": "cook_time",
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+ "28": "credit_limit",
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+ "29": "credit_limit_change",
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+ "30": "credit_score",
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+ "31": "current_location",
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+ "32": "damaged_card",
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+ "33": "date",
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+ "34": "definition",
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+ "35": "direct_deposit",
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+ "36": "directions",
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+ "37": "distance",
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+ "38": "do_you_have_pets",
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+ "39": "exchange_rate",
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+ "40": "expiration_date",
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+ "41": "find_phone",
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+ "42": "flight_status",
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+ "43": "flip_coin",
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+ "44": "food_last",
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+ "45": "freeze_account",
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+ "46": "fun_fact",
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+ "47": "gas",
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+ "48": "gas_type",
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+ "49": "goodbye",
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+ "50": "greeting",
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+ "51": "how_busy",
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+ "52": "how_old_are_you",
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+ "53": "improve_credit_score",
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+ "54": "income",
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+ "55": "ingredient_substitution",
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+ "56": "ingredients_list",
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+ "57": "insurance",
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+ "58": "insurance_change",
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+ "59": "interest_rate",
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+ "60": "international_fees",
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+ "61": "international_visa",
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+ "62": "jump_start",
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+ "63": "last_maintenance",
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+ "64": "lost_luggage",
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+ "65": "make_call",
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+ "66": "maybe",
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+ "67": "meal_suggestion",
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+ "68": "meaning_of_life",
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+ "69": "measurement_conversion",
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+ "70": "meeting_schedule",
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+ "71": "min_payment",
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+ "72": "mpg",
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+ "73": "new_card",
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+ "74": "next_holiday",
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+ "75": "next_song",
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+ "76": "no",
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+ "77": "nutrition_info",
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+ "78": "oil_change_how",
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+ "79": "oil_change_when",
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+ "80": "order",
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+ "81": "order_checks",
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+ "82": "order_status",
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+ "83": "pay_bill",
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+ "84": "payday",
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+ "85": "pin_change",
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+ "86": "play_music",
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+ "87": "plug_type",
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+ "88": "pto_balance",
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+ "89": "pto_request",
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+ "90": "pto_request_status",
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+ "91": "pto_used",
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+ "92": "recipe",
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+ "93": "redeem_rewards",
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+ "94": "reminder",
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+ "95": "reminder_update",
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+ "96": "repeat",
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+ "97": "replacement_card_duration",
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+ "98": "report_fraud",
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+ "99": "report_lost_card",
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+ "100": "reset_settings",
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+ "101": "restaurant_reservation",
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+ "102": "restaurant_reviews",
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+ "103": "restaurant_suggestion",
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+ "104": "rewards_balance",
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+ "105": "roll_dice",
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+ "106": "rollover_401k",
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+ "107": "routing",
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+ "108": "schedule_maintenance",
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+ "109": "schedule_meeting",
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+ "110": "share_location",
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+ "111": "shopping_list",
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+ "112": "shopping_list_update",
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+ "113": "smart_home",
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+ "115": "spending_history",
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+ "116": "sync_device",
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+ "117": "taxes",
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+ "118": "tell_joke",
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+ "146": "whisper_mode",
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+ "147": "who_do_you_work_for",
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+ "148": "who_made_you",
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