Upload BertForSequenceClassification

README.md

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+---
+library_name: transformers
+tags: []
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
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+[More Information Needed]
+
+**APA:**
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+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
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+[More Information Needed]
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+## Model Card Contact
+
+[More Information Needed]

config.json

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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "restaurant_reviews",
+    "1": "nutrition_info",
+    "2": "account_blocked",
+    "3": "oil_change_how",
+    "4": "time",
+    "5": "weather",
+    "6": "redeem_rewards",
+    "7": "interest_rate",
+    "8": "gas_type",
+    "9": "accept_reservations",
+    "10": "smart_home",
+    "11": "user_name",
+    "12": "report_lost_card",
+    "13": "repeat",
+    "14": "whisper_mode",
+    "15": "what_are_your_hobbies",
+    "16": "order",
+    "17": "jump_start",
+    "18": "schedule_meeting",
+    "19": "meeting_schedule",
+    "20": "freeze_account",
+    "21": "what_song",
+    "22": "meaning_of_life",
+    "23": "restaurant_reservation",
+    "24": "traffic",
+    "25": "make_call",
+    "26": "text",
+    "27": "bill_balance",
+    "28": "improve_credit_score",
+    "29": "change_language",
+    "30": "no",
+    "31": "measurement_conversion",
+    "32": "timer",
+    "33": "flip_coin",
+    "34": "do_you_have_pets",
+    "35": "balance",
+    "36": "tell_joke",
+    "37": "last_maintenance",
+    "38": "exchange_rate",
+    "39": "uber",
+    "40": "car_rental",
+    "41": "credit_limit",
+    "42": "oos",
+    "43": "shopping_list",
+    "44": "expiration_date",
+    "45": "routing",
+    "46": "meal_suggestion",
+    "47": "tire_change",
+    "48": "todo_list",
+    "49": "card_declined",
+    "50": "rewards_balance",
+    "51": "change_accent",
+    "52": "vaccines",
+    "53": "reminder_update",
+    "54": "food_last",
+    "55": "change_ai_name",
+    "56": "bill_due",
+    "57": "who_do_you_work_for",
+    "58": "share_location",
+    "59": "international_visa",
+    "60": "calendar",
+    "61": "translate",
+    "62": "carry_on",
+    "63": "book_flight",
+    "64": "insurance_change",
+    "65": "todo_list_update",
+    "66": "timezone",
+    "67": "cancel_reservation",
+    "68": "transactions",
+    "69": "credit_score",
+    "70": "report_fraud",
+    "71": "spending_history",
+    "72": "directions",
+    "73": "spelling",
+    "74": "insurance",
+    "75": "what_is_your_name",
+    "76": "reminder",
+    "77": "where_are_you_from",
+    "78": "distance",
+    "79": "payday",
+    "80": "flight_status",
+    "81": "find_phone",
+    "82": "greeting",
+    "83": "alarm",
+    "84": "order_status",
+    "85": "confirm_reservation",
+    "86": "cook_time",
+    "87": "damaged_card",
+    "88": "reset_settings",
+    "89": "pin_change",
+    "90": "replacement_card_duration",
+    "91": "new_card",
+    "92": "roll_dice",
+    "93": "income",
+    "94": "taxes",
+    "95": "date",
+    "96": "who_made_you",
+    "97": "pto_request",
+    "98": "tire_pressure",
+    "99": "how_old_are_you",
+    "100": "rollover_401k",
+    "101": "pto_request_status",
+    "102": "how_busy",
+    "103": "application_status",
+    "104": "recipe",
+    "105": "calendar_update",
+    "106": "play_music",
+    "107": "yes",
+    "108": "direct_deposit",
+    "109": "credit_limit_change",
+    "110": "gas",
+    "111": "pay_bill",
+    "112": "ingredients_list",
+    "113": "lost_luggage",
+    "114": "goodbye",
+    "115": "what_can_i_ask_you",
+    "116": "book_hotel",
+    "117": "are_you_a_bot",
+    "118": "next_song",
+    "119": "change_speed",
+    "120": "plug_type",
+    "121": "maybe",
+    "122": "w2",
+    "123": "oil_change_when",
+    "124": "thank_you",
+    "125": "shopping_list_update",
+    "126": "pto_balance",
+    "127": "order_checks",
+    "128": "travel_alert",
+    "129": "fun_fact",
+    "130": "sync_device",
+    "131": "schedule_maintenance",
+    "132": "apr",
+    "133": "transfer",
+    "134": "ingredient_substitution",
+    "135": "calories",
+    "136": "current_location",
+    "137": "international_fees",
+    "138": "calculator",
+    "139": "definition",
+    "140": "next_holiday",
+    "141": "update_playlist",
+    "142": "mpg",
+    "143": "min_payment",
+    "144": "change_user_name",
+    "145": "restaurant_suggestion",
+    "146": "travel_notification",
+    "147": "cancel",
+    "148": "pto_used",
+    "149": "travel_suggestion",
+    "150": "change_volume"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "accept_reservations": "9",
+    "account_blocked": "2",
+    "alarm": "83",
+    "application_status": "103",
+    "apr": "132",
+    "are_you_a_bot": "117",
+    "balance": "35",
+    "bill_balance": "27",
+    "bill_due": "56",
+    "book_flight": "63",
+    "book_hotel": "116",
+    "calculator": "138",
+    "calendar": "60",
+    "calendar_update": "105",
+    "calories": "135",
+    "cancel": "147",
+    "cancel_reservation": "67",
+    "car_rental": "40",
+    "card_declined": "49",
+    "carry_on": "62",
+    "change_accent": "51",
+    "change_ai_name": "55",
+    "change_language": "29",
+    "change_speed": "119",
+    "change_user_name": "144",
+    "change_volume": "150",
+    "confirm_reservation": "85",
+    "cook_time": "86",
+    "credit_limit": "41",
+    "credit_limit_change": "109",
+    "credit_score": "69",
+    "current_location": "136",
+    "damaged_card": "87",
+    "date": "95",
+    "definition": "139",
+    "direct_deposit": "108",
+    "directions": "72",
+    "distance": "78",
+    "do_you_have_pets": "34",
+    "exchange_rate": "38",
+    "expiration_date": "44",
+    "find_phone": "81",
+    "flight_status": "80",
+    "flip_coin": "33",
+    "food_last": "54",
+    "freeze_account": "20",
+    "fun_fact": "129",
+    "gas": "110",
+    "gas_type": "8",
+    "goodbye": "114",
+    "greeting": "82",
+    "how_busy": "102",
+    "how_old_are_you": "99",
+    "improve_credit_score": "28",
+    "income": "93",
+    "ingredient_substitution": "134",
+    "ingredients_list": "112",
+    "insurance": "74",
+    "insurance_change": "64",
+    "interest_rate": "7",
+    "international_fees": "137",
+    "international_visa": "59",
+    "jump_start": "17",
+    "last_maintenance": "37",
+    "lost_luggage": "113",
+    "make_call": "25",
+    "maybe": "121",
+    "meal_suggestion": "46",
+    "meaning_of_life": "22",
+    "measurement_conversion": "31",
+    "meeting_schedule": "19",
+    "min_payment": "143",
+    "mpg": "142",
+    "new_card": "91",
+    "next_holiday": "140",
+    "next_song": "118",
+    "no": "30",
+    "nutrition_info": "1",
+    "oil_change_how": "3",
+    "oil_change_when": "123",
+    "oos": "42",
+    "order": "16",
+    "order_checks": "127",
+    "order_status": "84",
+    "pay_bill": "111",
+    "payday": "79",
+    "pin_change": "89",
+    "play_music": "106",
+    "plug_type": "120",
+    "pto_balance": "126",
+    "pto_request": "97",
+    "pto_request_status": "101",
+    "pto_used": "148",
+    "recipe": "104",
+    "redeem_rewards": "6",
+    "reminder": "76",
+    "reminder_update": "53",
+    "repeat": "13",
+    "replacement_card_duration": "90",
+    "report_fraud": "70",
+    "report_lost_card": "12",
+    "reset_settings": "88",
+    "restaurant_reservation": "23",
+    "restaurant_reviews": "0",
+    "restaurant_suggestion": "145",
+    "rewards_balance": "50",
+    "roll_dice": "92",
+    "rollover_401k": "100",
+    "routing": "45",
+    "schedule_maintenance": "131",
+    "schedule_meeting": "18",
+    "share_location": "58",
+    "shopping_list": "43",
+    "shopping_list_update": "125",
+    "smart_home": "10",
+    "spelling": "73",
+    "spending_history": "71",
+    "sync_device": "130",
+    "taxes": "94",
+    "tell_joke": "36",
+    "text": "26",
+    "thank_you": "124",
+    "time": "4",
+    "timer": "32",
+    "timezone": "66",
+    "tire_change": "47",
+    "tire_pressure": "98",
+    "todo_list": "48",
+    "todo_list_update": "65",
+    "traffic": "24",
+    "transactions": "68",
+    "transfer": "133",
+    "translate": "61",
+    "travel_alert": "128",
+    "travel_notification": "146",
+    "travel_suggestion": "149",
+    "uber": "39",
+    "update_playlist": "141",
+    "user_name": "11",
+    "vaccines": "52",
+    "w2": "122",
+    "weather": "5",
+    "what_are_your_hobbies": "15",
+    "what_can_i_ask_you": "115",
+    "what_is_your_name": "75",
+    "what_song": "21",
+    "where_are_you_from": "77",
+    "whisper_mode": "14",
+    "who_do_you_work_for": "57",
+    "who_made_you": "96",
+    "yes": "107"
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.56.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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