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Upload RobertaForSequenceClassification

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  1. README.md +199 -0
  2. config.json +750 -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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+ [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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+ #### 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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+
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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-roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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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": "Careers, Career Planning",
15
+ "1": "Health & Fitness, Women's Health",
16
+ "2": "Technology & Computing, C/C++",
17
+ "3": "Style & Fashion, Jewelry",
18
+ "4": "Law Government & Politics, Politics",
19
+ "5": "Technology & Computing, Cameras & Camcorders",
20
+ "6": "Science, Botany",
21
+ "7": "Health & Fitness, Physical Therapy",
22
+ "8": "Travel, Theme Parks",
23
+ "9": "Religion & Spirituality, Hinduism",
24
+ "10": "Sports, Skateboarding",
25
+ "11": "Hobbies & Interests, Screenwriting",
26
+ "12": "Sports, Running/Jogging",
27
+ "13": "Home & Garden, Gardening",
28
+ "14": "Law Government & Politics, Legal Issues",
29
+ "15": "Health & Fitness, AIDS/HIV",
30
+ "16": "Education, Homework/Study Tips",
31
+ "17": "Law Government & Politics, Immigration",
32
+ "18": "Arts & Entertainment, Humor",
33
+ "19": "Arts & Entertainment, Celebrity Fan/Gossip",
34
+ "20": "Health & Fitness, Bipolar Disorder",
35
+ "21": "Travel, Bed & Breakfasts",
36
+ "22": "Hobbies & Interests, Magic & Illusion",
37
+ "23": "Business, Human Resources",
38
+ "24": "Food & Drink, American Cuisine",
39
+ "25": "Education, Language Learning",
40
+ "26": "Health & Fitness, Incontinence",
41
+ "27": "Sports, Snowboarding",
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+ "28": "Personal Finance, Mutual Funds",
43
+ "29": "Style & Fashion, Accessories",
44
+ "30": "Religion & Spirituality, Judaism",
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+ "31": "Food & Drink, Mexican Cuisine",
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+ "32": "Travel, Eastern Europe",
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+ "33": "Health & Fitness, Men\u0019 s Health",
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+ "34": "Personal Finance, Retirement Planning",
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+ "35": "Home & Garden, Entertaining",
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+ "36": "Health & Fitness, IBS/Crohn\u0019 s Disease",
51
+ "37": "Sports, Horses",
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+ "38": "Hobbies & Interests, Arts & Crafts",
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+ "39": "Technology & Computing, Email",
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+ "40": "Health & Fitness, Heart Disease",
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+ "41": "Travel, Spas",
56
+ "42": "Law Government & Politics, Commentary",
57
+ "43": "Technology & Computing, Unix",
58
+ "44": "Technology & Computing, Computer Networking",
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+ "45": "Sports, Sailing",
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+ "46": "Hobbies & Interests, Scrapbooking",
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+ "47": "Sports, World Soccer",
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+ "48": "Pets, Veterinary Medicine",
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+ "49": "Society, Weddings",
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+ "50": "Religion & Spirituality, Alternative Religions",
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+ "51": "Hobbies & Interests, Needlework",
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+ "52": "Hobbies & Interests, Candle & Soap Making",
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+ "53": "Travel, South America",
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+ "54": "Health & Fitness, Incest/Abuse Support",
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+ "55": "Health & Fitness, Chronic Fatigue Syndrome",
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+ "56": "Health & Fitness, Asthma",
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+ "57": "Travel, Australia & New Zealand",
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+ "58": "Religion & Spirituality, Latter-Day Saints",
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+ "59": "Health & Fitness, Cholesterol",
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+ "60": "Education, Special Education",
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+ "61": "Business, Government",
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+ "62": "Style & Fashion, Body Art",
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+ "63": "Travel, By US Locale",
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+ "64": "Health & Fitness, Brain Tumor",
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+ "65": "Real Estate, Apartments",
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+ "66": "Family & Parenting, Family Internet",
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+ "67": "Education, K-6 Educators",
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+ "68": "Technology & Computing, Cell Phones",
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+ "69": "Automotive, Buying/Selling Cars",
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+ "70": "Family & Parenting, Babies & Toddlers",
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+ "71": "Sports, Swimming",
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+ "72": "Sports, Football",
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+ "73": "Science, Biology",
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+ "74": "Travel, Greece",
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+ "75": "Automotive, Wagon",
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+ "76": "Automotive, Electric Vehicle",
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+ "77": "Food & Drink, Food Allergies",
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+ "78": "Hobbies & Interests, Collecting",
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+ "79": "Health & Fitness, Diabetes",
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+ "80": "Sports, Pro Basketball",
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+ "81": "Food & Drink, Japanese Cuisine",
96
+ "82": "Hobbies & Interests, Video & Computer Games",
97
+ "83": "Travel, Canada",
98
+ "84": "Education, Graduate School",
99
+ "85": "Science, Astrology",
100
+ "86": "Technology & Computing, Visual Basic",
101
+ "87": "Home & Garden, Home Theater",
102
+ "88": "Non-Standard Content, Incentivized",
103
+ "89": "Automotive, Off-Road Vehicles",
104
+ "90": "Automotive, Pickup",
105
+ "91": "Sports, Figure Skating",
106
+ "92": "Personal Finance, Investing",
107
+ "93": "Food & Drink, Cocktails/Beer",
108
+ "94": "Personal Finance, Credit/Debt & Loans",
109
+ "95": "Law Government & Politics, U.S. Government Resources",
110
+ "96": "Sports, Skiing",
111
+ "97": "Education, Art History",
112
+ "98": "Hobbies & Interests, Board Games/Puzzles",
113
+ "99": "Sports, Martial Arts",
114
+ "100": "Travel, France",
115
+ "101": "Society, Teens",
116
+ "102": "Health & Fitness, Dermatology",
117
+ "103": "Style & Fashion, Beauty",
118
+ "104": "Technology & Computing, JavaScript",
119
+ "105": "Technology & Computing, Graphics Software",
120
+ "106": "Personal Finance, Insurance",
121
+ "107": "Health & Fitness, Sleep Disorders",
122
+ "108": "Sports, Tennis",
123
+ "109": "Shopping, Comparison",
124
+ "110": "Personal Finance, Options",
125
+ "111": "Travel, Africa",
126
+ "112": "Business, Advertising",
127
+ "113": "Hobbies & Interests, Investors & Patents",
128
+ "114": "Food & Drink, Vegetarian",
129
+ "115": "Careers, Scholarships",
130
+ "116": "Education, College Life",
131
+ "117": "Automotive, Convertible",
132
+ "118": "Religion & Spirituality, Christianity",
133
+ "119": "Technology & Computing, Palmtops/PDAs",
134
+ "120": "Business, Agriculture",
135
+ "121": "Family & Parenting, Parenting teens",
136
+ "122": "Personal Finance, Beginning Investing",
137
+ "123": "Business, Green Solutions",
138
+ "124": "Sports, Inline Skating",
139
+ "125": "Health & Fitness, Infertility",
140
+ "126": "Careers, U.S. Military",
141
+ "127": "Technology & Computing, Portable",
142
+ "128": "Technology & Computing, Net Conferencing",
143
+ "129": "General Illegal Content, Illegal Content",
144
+ "130": "Travel, United Kingdom",
145
+ "131": "Hobbies & Interests, Roleplaying Games",
146
+ "132": "Real Estate, Buying/Selling Homes",
147
+ "133": "Sports, Mountain Biking",
148
+ "134": "Health & Fitness, Cancer",
149
+ "135": "Travel, Adventure Travel",
150
+ "136": "Automotive, Auto Parts",
151
+ "137": "Health & Fitness, Panic/Anxiety Disorders",
152
+ "138": "Shopping, Engines",
153
+ "139": "Hobbies & Interests, Jewelry Making",
154
+ "140": "Technology & Computing, Desktop Video",
155
+ "141": "Technology & Computing, Internet Technology",
156
+ "142": "Business, Marketing",
157
+ "143": "Society, Senior Living",
158
+ "144": "Technology & Computing, Shareware/Freeware",
159
+ "145": "Hobbies & Interests, Painting",
160
+ "146": "Style & Fashion, Clothing",
161
+ "147": "Health & Fitness, Weight Loss",
162
+ "148": "Sports, Rugby",
163
+ "149": "Technology & Computing, Entertainment",
164
+ "150": "Sports, Baseball",
165
+ "151": "Society, Ethnic Specific",
166
+ "152": "Travel, Mexico & Central America",
167
+ "153": "Health & Fitness, Senior Health",
168
+ "154": "Pets, Large Animals",
169
+ "155": "Health & Fitness, Cold & Flu",
170
+ "156": "Technology & Computing, Web Search",
171
+ "157": "Family & Parenting, Eldercare",
172
+ "158": "Business, Metals",
173
+ "159": "Automotive, Trucks & Accessories",
174
+ "160": "Health & Fitness, Orthopedics",
175
+ "161": "Arts & Entertainment, Books & Literature",
176
+ "162": "Food & Drink, Desserts & Baking",
177
+ "163": "Travel, Italy",
178
+ "164": "Technology & Computing, Windows",
179
+ "165": "Home & Garden, Interior Decorating",
180
+ "166": "Pets, Reptiles",
181
+ "167": "Sports, NASCAR Racing",
182
+ "168": "Travel, Hotels",
183
+ "169": "Personal Finance, Hedge Fund",
184
+ "170": "Religion & Spirituality, Pagan/Wiccan",
185
+ "171": "Food & Drink, Wine",
186
+ "172": "Shopping, Contests & Freebies",
187
+ "173": "Sports, Hunting/Shooting",
188
+ "174": "Shopping, Couponing",
189
+ "175": "Automotive, Performance Vehicles",
190
+ "176": "Sports, Golf",
191
+ "177": "Home & Garden, Landscaping",
192
+ "178": "Hobbies & Interests, Stamps & Coins",
193
+ "179": "Travel, Cruises",
194
+ "180": "Society, Dating",
195
+ "181": "Health & Fitness, Smoking Cessation",
196
+ "182": "General Illegal Content, Copyright Infringement",
197
+ "183": "Business, Logistics",
198
+ "184": "Sports, Bicycling",
199
+ "185": "Travel, Traveling with Kids",
200
+ "186": "Technology & Computing, Net for Beginners",
201
+ "187": "Hobbies & Interests, Chess",
202
+ "188": "Sports, Game & Fish",
203
+ "189": "Health & Fitness, Autism/PDD",
204
+ "190": "Automotive, Certified Pre-Owned",
205
+ "191": "Food & Drink, Italian Cuisine",
206
+ "192": "Education, English as a 2nd Language",
207
+ "193": "Hobbies & Interests, Genealogy",
208
+ "194": "Technology & Computing, Network Security",
209
+ "195": "Sports, Waterski/Wakeboard",
210
+ "196": "Health & Fitness, Headaches/Migraines",
211
+ "197": "Education, College Administration",
212
+ "198": "Sports, Fly Fishing",
213
+ "199": "Automotive, Motorcycles",
214
+ "200": "Sports, Walking",
215
+ "201": "Careers, Nursing",
216
+ "202": "Technology & Computing, Home Video/DVD",
217
+ "203": "Travel, National Parks",
218
+ "204": "Food & Drink, Cajun/Creole",
219
+ "205": "Hobbies & Interests, Home Recording",
220
+ "206": "Hobbies & Interests, Photography",
221
+ "207": "Food & Drink, Cuisine-Specific",
222
+ "208": "Sports, Boxing",
223
+ "209": "Food & Drink, French Cuisine",
224
+ "210": "Automotive, Car Culture",
225
+ "211": "Hobbies & Interests, Comic Books",
226
+ "212": "Education, Distance Learning",
227
+ "213": "Careers, Telecommuting",
228
+ "214": "Travel, Budget Travel",
229
+ "215": "Technology & Computing, Web Design/HTML",
230
+ "216": "Health & Fitness, Thyroid Disease",
231
+ "217": "Health & Fitness, Herbs for Health",
232
+ "218": "Technology & Computing, MP3/MIDI",
233
+ "219": "Travel, Business Travel",
234
+ "220": "Health & Fitness, Depression",
235
+ "221": "Home & Garden, Home Repair",
236
+ "222": "Pets, Birds",
237
+ "223": "Religion & Spirituality, Islam",
238
+ "224": "Health & Fitness, Exercise",
239
+ "225": "Arts & Entertainment, Movies",
240
+ "226": "Hobbies & Interests, Card Games",
241
+ "227": "Sports, Cheerleading",
242
+ "228": "Hobbies & Interests, Radio",
243
+ "229": "Technology & Computing, Computer Reviews",
244
+ "230": "Careers, Resume Writing/Advice",
245
+ "231": "Society, Divorce Support",
246
+ "232": "Food & Drink, Chinese Cuisine",
247
+ "233": "Sports, Auto Racing",
248
+ "234": "Sports, Olympics",
249
+ "235": "Food & Drink, Barbecues & Grilling",
250
+ "236": "Food & Drink, Health/Low-Fat Cooking",
251
+ "237": "Health & Fitness, Epilepsy",
252
+ "238": "Pets, Aquariums",
253
+ "239": "Sports, Freshwater Fishing",
254
+ "240": "Hobbies & Interests, Woodworking",
255
+ "241": "Sports, Cricket",
256
+ "242": "Religion & Spirituality, Catholicism",
257
+ "243": "Hobbies & Interests, Bird-Watching",
258
+ "244": "Technology & Computing, Computer Certification",
259
+ "245": "Education, Private School",
260
+ "246": "Pets, Dogs",
261
+ "247": "Science, Space/Astronomy",
262
+ "248": "Education, Studying Business",
263
+ "249": "Science, Physics",
264
+ "250": "Religion & Spirituality, Atheism/Agnosticism",
265
+ "251": "Business, Construction",
266
+ "252": "Family & Parenting, Special Needs Kids",
267
+ "253": "Science, Geography",
268
+ "254": "Technology & Computing, Web Clip Art",
269
+ "255": "Sports, Paintball",
270
+ "256": "Personal Finance, Stocks",
271
+ "257": "Food & Drink, Dining Out",
272
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