Upload BertForSequenceClassification
Browse files- README.md +199 -0
- config.json +122 -0
- model.safetensors +3 -0
README.md
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---
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library_name: transformers
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tags: []
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- 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]
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## More Information [optional]
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[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
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[More Information Needed]
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config.json
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| 1 |
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Sports",
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"1": "Mental Health",
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"2": "Time",
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"3": "Law and Justice",
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"4": "Travel",
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"5": "Environment and Nature",
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"6": "Saudi Cities and Regions",
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"7": "Planning and Decisions",
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"8": "Emotions",
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"9": "Fitness and Exercise",
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"10": "Wishes and Dreams",
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"11": "Education and Training",
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"12": "Health",
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"13": "Real Estate and Housing",
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"14": "Cars and Driving",
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"15": "Religion and Spirituality",
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"16": "Business and Money",
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"17": "Descriptions",
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"18": "Work",
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"19": "Culture and Traditions",
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"20": "Instructions and Guidelines",
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"21": "Food and Dining",
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"22": "Social Media",
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"23": "Entertainment",
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"24": "Shopping",
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"25": "Arts and Media",
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"26": "Questions",
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"27": "Economy and Finance",
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"28": "Hobbies and Interests",
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"29": "Weather",
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"30": "Responses",
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"31": "Technology",
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"32": "Study and Education",
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"33": "Home and Living",
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"34": "Family and Relationships",
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"35": "Transport",
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"36": "Days and Dates",
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"37": "Directions",
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"38": "Daily Life",
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"39": "Opinions",
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"40": "Greetings",
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"41": "Events and Celebrations",
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"42": "Tourism"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Arts and Media": 25,
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"Business and Money": 16,
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"Cars and Driving": 14,
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"Culture and Traditions": 19,
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"Daily Life": 38,
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"Days and Dates": 36,
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"Descriptions": 17,
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"Directions": 37,
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| 68 |
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"Economy and Finance": 27,
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| 69 |
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"Education and Training": 11,
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| 70 |
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"Emotions": 8,
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| 71 |
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"Entertainment": 23,
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| 72 |
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"Environment and Nature": 5,
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| 73 |
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"Events and Celebrations": 41,
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| 74 |
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"Family and Relationships": 34,
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| 75 |
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"Fitness and Exercise": 9,
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| 76 |
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"Food and Dining": 21,
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| 77 |
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"Greetings": 40,
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| 78 |
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"Health": 12,
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| 79 |
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"Hobbies and Interests": 28,
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| 80 |
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"Home and Living": 33,
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| 81 |
+
"Instructions and Guidelines": 20,
|
| 82 |
+
"Law and Justice": 3,
|
| 83 |
+
"Mental Health": 1,
|
| 84 |
+
"Opinions": 39,
|
| 85 |
+
"Planning and Decisions": 7,
|
| 86 |
+
"Questions": 26,
|
| 87 |
+
"Real Estate and Housing": 13,
|
| 88 |
+
"Religion and Spirituality": 15,
|
| 89 |
+
"Responses": 30,
|
| 90 |
+
"Saudi Cities and Regions": 6,
|
| 91 |
+
"Shopping": 24,
|
| 92 |
+
"Social Media": 22,
|
| 93 |
+
"Sports": 0,
|
| 94 |
+
"Study and Education": 32,
|
| 95 |
+
"Technology": 31,
|
| 96 |
+
"Time": 2,
|
| 97 |
+
"Tourism": 42,
|
| 98 |
+
"Transport": 35,
|
| 99 |
+
"Travel": 4,
|
| 100 |
+
"Weather": 29,
|
| 101 |
+
"Wishes and Dreams": 10,
|
| 102 |
+
"Work": 18
|
| 103 |
+
},
|
| 104 |
+
"layer_norm_eps": 1e-12,
|
| 105 |
+
"max_position_embeddings": 512,
|
| 106 |
+
"model_type": "bert",
|
| 107 |
+
"num_attention_heads": 12,
|
| 108 |
+
"num_hidden_layers": 12,
|
| 109 |
+
"pad_token_id": 0,
|
| 110 |
+
"pooler_fc_size": 768,
|
| 111 |
+
"pooler_num_attention_heads": 12,
|
| 112 |
+
"pooler_num_fc_layers": 3,
|
| 113 |
+
"pooler_size_per_head": 128,
|
| 114 |
+
"pooler_type": "first_token_transform",
|
| 115 |
+
"position_embedding_type": "absolute",
|
| 116 |
+
"problem_type": "single_label_classification",
|
| 117 |
+
"torch_dtype": "float32",
|
| 118 |
+
"transformers_version": "4.53.0",
|
| 119 |
+
"type_vocab_size": 2,
|
| 120 |
+
"use_cache": true,
|
| 121 |
+
"vocab_size": 100000
|
| 122 |
+
}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fd4a59b8c46494940b956f55c936d3260196758aebf73368abfcca6bdb298b8d
|
| 3 |
+
size 651521196
|