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]
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+### 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
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+[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
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+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
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+[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. -->
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+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
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+## 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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+{
+  "_name_or_path": "./fine_tuned_bert",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "set_alarm",
+    "1": "mute",
+    "2": "light_query",
+    "3": "calendar_query",
+    "4": "play_music",
+    "5": "general",
+    "6": "time_query",
+    "7": "order_query",
+    "8": "delete_alarm",
+    "9": "alarm_query",
+    "10": "get_news",
+    "11": "music_likeness",
+    "12": "music_query",
+    "13": "get_weather",
+    "14": "stock_query",
+    "15": "play_radio",
+    "16": "recommend_location",
+    "17": "help_query",
+    "18": "set_calendar",
+    "19": "play_audiobook",
+    "20": "play_podcast",
+    "21": "information_query",
+    "22": "navigation_query",
+    "23": "send_email",
+    "24": "cart_query",
+    "25": "play_game",
+    "26": "transport_query",
+    "27": "search_event",
+    "28": "email_query",
+    "29": "remove_calendar",
+    "30": "remove_cart",
+    "31": "get_recipe",
+    "32": "create_list",
+    "33": "currency_query",
+    "34": "get_message",
+    "35": "send_message",
+    "36": "set_availability",
+    "37": "delete_reminder",
+    "38": "create_alarm",
+    "39": "get_reminder",
+    "40": "create_reminder",
+    "41": "event_query",
+    "42": "create_call",
+    "43": "end_call",
+    "44": "create_timer",
+    "45": "update_call",
+    "46": "update_reminder",
+    "47": "get_contact",
+    "48": "get_timer",
+    "49": "add_timer",
+    "50": "get_location",
+    "51": "delete_timer",
+    "52": "update_alarm",
+    "53": "weather_query",
+    "54": "purchase_intent",
+    "55": "translation_intent",
+    "56": "travel_intent",
+    "57": "add_to_playlist",
+    "58": "rate_book",
+    "59": "book_restaurant",
+    "60": "set_meeting",
+    "61": "search_creative_work",
+    "62": "cancellation",
+    "63": "affirmation",
+    "64": "excitement_emotion",
+    "65": "insurance_query",
+    "66": "fun_fact",
+    "67": "update_cart",
+    "68": "oil_change_query",
+    "69": "set_reservation",
+    "70": "confirm_reservation",
+    "71": "next_song",
+    "72": "suggest_restaurant",
+    "73": "pay_bill",
+    "74": "reminder_query",
+    "75": "check_availability",
+    "76": "accept_reservations",
+    "77": "meeting_query",
+    "78": "book_hotel",
+    "79": "location_query",
+    "80": "cancel_reservation",
+    "81": "traffic_query"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "accept_reservations": 76,
+    "add_timer": 49,
+    "add_to_playlist": 57,
+    "affirmation": 63,
+    "alarm_query": 9,
+    "book_hotel": 78,
+    "book_restaurant": 59,
+    "calendar_query": 3,
+    "cancel_reservation": 80,
+    "cancellation": 62,
+    "cart_query": 24,
+    "check_availability": 75,
+    "confirm_reservation": 70,
+    "create_alarm": 38,
+    "create_call": 42,
+    "create_list": 32,
+    "create_reminder": 40,
+    "create_timer": 44,
+    "currency_query": 33,
+    "delete_alarm": 8,
+    "delete_reminder": 37,
+    "delete_timer": 51,
+    "email_query": 28,
+    "end_call": 43,
+    "event_query": 41,
+    "excitement_emotion": 64,
+    "fun_fact": 66,
+    "general": 5,
+    "get_contact": 47,
+    "get_location": 50,
+    "get_message": 34,
+    "get_news": 10,
+    "get_recipe": 31,
+    "get_reminder": 39,
+    "get_timer": 48,
+    "get_weather": 13,
+    "help_query": 17,
+    "information_query": 21,
+    "insurance_query": 65,
+    "light_query": 2,
+    "location_query": 79,
+    "meeting_query": 77,
+    "music_likeness": 11,
+    "music_query": 12,
+    "mute": 1,
+    "navigation_query": 22,
+    "next_song": 71,
+    "oil_change_query": 68,
+    "order_query": 7,
+    "pay_bill": 73,
+    "play_audiobook": 19,
+    "play_game": 25,
+    "play_music": 4,
+    "play_podcast": 20,
+    "play_radio": 15,
+    "purchase_intent": 54,
+    "rate_book": 58,
+    "recommend_location": 16,
+    "reminder_query": 74,
+    "remove_calendar": 29,
+    "remove_cart": 30,
+    "search_creative_work": 61,
+    "search_event": 27,
+    "send_email": 23,
+    "send_message": 35,
+    "set_alarm": 0,
+    "set_availability": 36,
+    "set_calendar": 18,
+    "set_meeting": 60,
+    "set_reservation": 69,
+    "stock_query": 14,
+    "suggest_restaurant": 72,
+    "time_query": 6,
+    "traffic_query": 81,
+    "translation_intent": 55,
+    "transport_query": 26,
+    "travel_intent": 56,
+    "update_alarm": 52,
+    "update_call": 45,
+    "update_cart": 67,
+    "update_reminder": 46,
+    "weather_query": 53
+  },
+  "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",
+  "torch_dtype": "float32",
+  "transformers_version": "4.47.1",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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