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Upload BertForSequenceClassification

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  1. README.md +199 -0
  2. config.json +655 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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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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+
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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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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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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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+
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+ ## Uses
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+
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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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+
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+ ### Direct Use
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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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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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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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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+
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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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+ <!-- 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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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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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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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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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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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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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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+
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+ ### Results
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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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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+
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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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+
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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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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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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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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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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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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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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]
config.json ADDED
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+ {
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+ "_name_or_path": "text-classification-model-iab-categories-revised-1.0",
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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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+ "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": 1024,
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+ "id2label": {
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+ "0": "Technology & Computing, C/C++",
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+ "1": "Health & Fitness, Cold & Flu",
15
+ "2": "Sports, Volleyball",
16
+ "3": "Technology & Computing, Cameras & Camcorders",
17
+ "4": "Careers, Financial Aid",
18
+ "5": "Health & Fitness, Diabetes",
19
+ "6": "Science, Paranormal Phenomena",
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+ "7": "Family & Parenting, Daycare/Pre School",
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+ "8": "Travel, Cruises",
22
+ "9": "Family & Parenting, Pregnancy",
23
+ "10": "Hobbies & Interests, Arts & Crafts",
24
+ "11": "Health & Fitness, Nutrition",
25
+ "12": "Sports, Pro Basketball",
26
+ "13": "Religion & Spirituality, Islam",
27
+ "14": "Travel, United Kingdom",
28
+ "15": "Food & Drink, French Cuisine",
29
+ "16": "Automotive, Auto Parts",
30
+ "17": "Business, Construction",
31
+ "18": "Technology & Computing, Desktop Video",
32
+ "19": "Careers, Nursing",
33
+ "20": "Technology & Computing, Animation",
34
+ "21": "Health & Fitness, Brain Tumor",
35
+ "22": "Automotive, Vintage Cars",
36
+ "23": "Sports, Rugby",
37
+ "24": "Style & Fashion, Beauty",
38
+ "25": "Hobbies & Interests, Chess",
39
+ "26": "Health & Fitness, AIDS/HIV",
40
+ "27": "Business, Green Solutions",
41
+ "28": "Hobbies & Interests, Cigars",
42
+ "29": "Hobbies & Interests, Woodworking",
43
+ "30": "Business, Metals",
44
+ "31": "Hobbies & Interests, Drawing/Sketching",
45
+ "32": "Society, Teens",
46
+ "33": "Sports, Bodybuilding",
47
+ "34": "Technology & Computing, Data Centers",
48
+ "35": "Sports, Pro Ice Hockey",
49
+ "36": "Travel, Europe",
50
+ "37": "Health & Fitness, Sleep Disorders",
51
+ "38": "Technology & Computing, Computer Networking",
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+ "39": "Food & Drink, Coffee/Tea",
53
+ "40": "Law, Government, & Politics, Commentary",
54
+ "41": "Family & Parenting, Special Needs Kids",
55
+ "42": "Education, College Life",
56
+ "43": "Sports, Inline Skating",
57
+ "44": "Sports, Rodeo",
58
+ "45": "Home & Garden, Interior Decorating",
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+ "46": "Automotive, Hybrid",
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+ "47": "Sports, Freshwater Fishing",
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+ "48": "Technology & Computing, Palmtops/PDAs",
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+ "49": "Automotive, Certified Pre-Owned",
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+ "50": "Automotive, Buying/Selling Cars",
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+ "51": "Automotive, Hatchback",
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+ "52": "Health & Fitness, Chronic Pain",
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+ "53": "Home & Garden, Home Repair",
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+ "54": "Personal Finance, Retirement Planning",
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+ "55": "Sports, Power & Motorcycles",
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+ "56": "Health & Fitness, Orthopedics",
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+ "57": "Food & Drink, Desserts & Baking",
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+ "58": "Careers, Job Search",
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+ "59": "Real Estate, Architects",
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+ "60": "Education, English as a 2nd Language",
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+ "61": "Society, Divorce Support",
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+ "62": "Hobbies & Interests, Board Games/Puzzles",
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+ "63": "Technology & Computing, Windows",
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+ "64": "Family & Parenting, Parenting - K-6 Kids",
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+ "65": "Education, Graduate School",
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+ "66": "Personal Finance, Tax Planning",
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+ "67": "Religion & Spirituality, Pagan/Wiccan",
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+ "68": "Hobbies & Interests, Radio",
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+ "69": "Sports, Game & Fish",
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+ "70": "Sports, Baseball",
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+ "71": "Sports, Cheerleading",
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+ "72": "Home & Garden, Appliances",
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+ "73": "Style & Fashion, Fashion",
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+ "74": "Science, Chemistry",
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+ "75": "Technology & Computing, Web Search",
89
+ "76": "Travel, Spas",
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+ "77": "Food & Drink, Cocktails/Beer",
91
+ "78": "Travel, Bed & Breakfasts",
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+ "79": "Automotive, Sedan",
93
+ "80": "Religion & Spirituality, Christianity",
94
+ "81": "Technology & Computing, Internet Technology",
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+ "82": "Health & Fitness, Incest/Abuse Support",
96
+ "83": "Food & Drink, Chinese Cuisine",
97
+ "84": "Travel, By US Locale",
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+ "85": "Family & Parenting, Babies & Toddlers",
99
+ "86": "Hobbies & Interests, Video & Computer Games",
100
+ "87": "Health & Fitness, Headaches/Migraines",
101
+ "88": "Travel, Greece",
102
+ "89": "Technology & Computing, Mac Support",
103
+ "90": "Hobbies & Interests, Stamps & Coins",
104
+ "91": "Home & Garden, Gardening",
105
+ "92": "Home & Garden, Landscaping",
106
+ "93": "Health & Fitness, Epilepsy",
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+ "94": "Arts & Entertainment, Television",
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+ "95": "Technology & Computing, Net for Beginners",
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+ "96": "Technology & Computing, Graphics Software",
110
+ "97": "Hobbies & Interests, Candle & Soap Making",
111
+ "98": "Hobbies & Interests, Scrapbooking",
112
+ "99": "Style & Fashion, Body Art",
113
+ "100": "Careers, Telecommuting",
114
+ "101": "Society, Dating",
115
+ "102": "Automotive, Road-Side Assistance",
116
+ "103": "Health & Fitness, Pediatrics",
117
+ "104": "Shopping, Comparison",
118
+ "105": "Sports, Football",
119
+ "106": "Pets, Veterinary Medicine",
120
+ "107": "Travel, Theme Parks",
121
+ "108": "Travel, National Parks",
122
+ "109": "Family & Parenting, Eldercare",
123
+ "110": "Sports, Horses",
124
+ "111": "Careers, Resume Writing/Advice",
125
+ "112": "Arts & Entertainment, Music",
126
+ "113": "Careers, College",
127
+ "114": "Sports, Snowboarding",
128
+ "115": "Education, K-6 Educators",
129
+ "116": "Hobbies & Interests, Needlework",
130
+ "117": "Religion & Spirituality, Atheism/Agnosticism",
131
+ "118": "Technology & Computing, Portable",
132
+ "119": "Health & Fitness, Cholesterol",
133
+ "120": "Science, Space/Astronomy",
134
+ "121": "Pets, Cats",
135
+ "122": "Travel, Australia & New Zealand",
136
+ "123": "General Illegal Content, Warez",
137
+ "124": "Education, Special Education",
138
+ "125": "Technology & Computing, Email",
139
+ "126": "Sports, Saltwater Fishing",
140
+ "127": "Sports, Fly Fishing",
141
+ "128": "Education, Distance Learning",
142
+ "129": "Education, Homeschooling",
143
+ "130": "Sports, Swimming",
144
+ "131": "Sports, Cricket",
145
+ "132": "Travel, Traveling with Kids",
146
+ "133": "Travel, Eastern Europe",
147
+ "134": "Personal Finance, Insurance",
148
+ "135": "Personal Finance, Mutual Funds",
149
+ "136": "Technology & Computing, Visual Basic",
150
+ "137": "Health & Fitness, Infertility",
151
+ "138": "Sports, NASCAR Racing",
152
+ "139": "Technology & Computing, Computer Peripherals",
153
+ "140": "Business, Government",
154
+ "141": "Society, Gay Life",
155
+ "142": "Travel, Hotels",
156
+ "143": "Business, Business Software",
157
+ "144": "Education, Studying Business",
158
+ "145": "Sports, Table Tennis/Ping-Pong",
159
+ "146": "Health & Fitness, Physical Therapy",
160
+ "147": "Home & Garden, Entertaining",
161
+ "148": "Travel, Canada",
162
+ "149": "Technology & Computing, 3-D Graphics",
163
+ "150": "Technology & Computing, Web Clip Art",
164
+ "151": "Non-Standard Content, Under Construction",
165
+ "152": "Automotive, Crossover",
166
+ "153": "Health & Fitness, Substance Abuse",
167
+ "154": "Science, Weather",
168
+ "155": "Health & Fitness, Thyroid Disease",
169
+ "156": "Technology & Computing, Entertainment",
170
+ "157": "Careers, Scholarships",
171
+ "158": "Health & Fitness, Arthritis",
172
+ "159": "Technology & Computing, Antivirus Software",
173
+ "160": "Technology & Computing, PC Support",
174
+ "161": "Health & Fitness, Heart Disease",
175
+ "162": "Science, Botany",
176
+ "163": "Automotive, Convertible",
177
+ "164": "Travel, Budget Travel",
178
+ "165": "Law, Government, & Politics, Immigration",
179
+ "166": "Business, Agriculture",
180
+ "167": "Food & Drink, Vegetarian",
181
+ "168": "Health & Fitness, Holistic Healing",
182
+ "169": "Pets, Birds",
183
+ "170": "Religion & Spirituality, Hinduism",
184
+ "171": "Health & Fitness, Incontinence",
185
+ "172": "Education, Homework/Study Tips",
186
+ "173": "Health & Fitness, Dental Care",
187
+ "174": "Automotive, Luxury",
188
+ "175": "Careers, U.S. Military",
189
+ "176": "Religion & Spirituality, Buddhism",
190
+ "177": "Personal Finance, Hedge Fund",
191
+ "178": "Sports, Paintball",
192
+ "179": "Hobbies & Interests, Screenwriting",
193
+ "180": "Automotive, Minivan",
194
+ "181": "Automotive, Trucks & Accessories",
195
+ "182": "Travel, Japan",
196
+ "183": "Food & Drink, Health/Low-Fat Cooking",
197
+ "184": "Hobbies & Interests, Beadwork",
198
+ "185": "Careers, Job Fairs",
199
+ "186": "Health & Fitness, Allergies",
200
+ "187": "Pets, Dogs",
201
+ "188": "Sports, Surfing/Body-Boarding",
202
+ "189": "Sports, Waterski/Wakeboard",
203
+ "190": "Family & Parenting, Parenting teens",
204
+ "191": "Education, Adult Education",
205
+ "192": "Hobbies & Interests, Bird-Watching",
206
+ "193": "Sports, Sailing",
207
+ "194": "Health & Fitness, Exercise",
208
+ "195": "Health & Fitness, Depression",
209
+ "196": "Food & Drink, Japanese Cuisine",
210
+ "197": "Personal Finance, Credit/Debt & Loans",
211
+ "198": "Hobbies & Interests, Art/Technology",
212
+ "199": "Personal Finance, Options",
213
+ "200": "Health & Fitness, Smoking Cessation",
214
+ "201": "Hobbies & Interests, Investors & Patents",
215
+ "202": "Health & Fitness, Psychology/Psychiatry",
216
+ "203": "Food & Drink, Cuisine-Specific",
217
+ "204": "Automotive, Pickup",
218
+ "205": "Health & Fitness, ADD",
219
+ "206": "Food & Drink, Food Allergies",
220
+ "207": "Education, 7-12 Education",
221
+ "208": "Sports, Horse Racing",
222
+ "209": "Sports, Canoeing/Kayaking",
223
+ "210": "Automotive, Car Culture",
224
+ "211": "Sports, Running/Jogging",
225
+ "212": "Personal Finance, Financial News",
226
+ "213": "Sports, Hunting/Shooting",
227
+ "214": "Health & Fitness, Asthma",
228
+ "215": "Health & Fitness, Alternative Medicine",
229
+ "216": "Technology & Computing, Cell Phones",
230
+ "217": "Science, Geology",
231
+ "218": "Family & Parenting, Family Internet",
232
+ "219": "Education, College Administration",
233
+ "220": "Religion & Spirituality, Judaism",
234
+ "221": "Food & Drink, Mexican Cuisine",
235
+ "222": "Food & Drink, Italian Cuisine",
236
+ "223": "Pets, Large Animals",
237
+ "224": "Health & Fitness, IBS/Crohn\u0019 s Disease",
238
+ "225": "Business, Human Resources",
239
+ "226": "Business, Forestry",
240
+ "227": "Science, Geography",
241
+ "228": "Careers, Career Planning",
242
+ "229": "Technology & Computing, Java",
243
+ "230": "Science, Astrology",
244
+ "231": "Education, Language Learning",
245
+ "232": "Real Estate, Apartments",
246
+ "233": "Health & Fitness, Men\u0019 s Health",
247
+ "234": "Technology & Computing, Network Security",
248
+ "235": "Sports, Climbing",
249
+ "236": "Hobbies & Interests, Comic Books",
250
+ "237": "Health & Fitness, Cancer",
251
+ "238": "Health & Fitness, Senior Health",
252
+ "239": "Sports, Skateboarding",
253
+ "240": "Business, Marketing",
254
+ "241": "Hobbies & Interests, Home Recording",
255
+ "242": "Technology & Computing, Shareware/Freeware",
256
+ "243": "Sports, World Soccer",
257
+ "244": "Health & Fitness, Deafness",
258
+ "245": "Careers, Career Advice",
259
+ "246": "Sports, Tennis",
260
+ "247": "Hobbies & Interests, Photography",
261
+ "248": "Travel, Italy",
262
+ "249": "Sports, Bicycling",
263
+ "250": "Sports, Olympics",
264
+ "251": "Health & Fitness, Herbs for Health",
265
+ "252": "Arts & Entertainment, Movies",
266
+ "253": "Society, Weddings",
267
+ "254": "Travel, Honeymoons/Getaways",
268
+ "255": "Sports, Martial Arts",
269
+ "256": "Technology & Computing, Net Conferencing",
270
+ "257": "Health & Fitness, Women's Health",
271
+ "258": "Technology & Computing, MP3/MIDI",
272
+ "259": "Technology & Computing, Web Design/HTML",
273
+ "260": "Society, Senior Living",
274
+ "261": "Automotive, Wagon",
275
+ "262": "Hobbies & Interests, Guitar",
276
+ "263": "Education, Private School",
277
+ "264": "Health & Fitness, Weight Loss",
278
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