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Upload BertForSequenceClassification

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  1. README.md +201 -0
  2. config.json +1205 -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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+ - **Developed by:** [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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+ - **Repository:** [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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+ [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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+
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+ ## Bias, Risks, and Limitations
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+ ### Recommendations
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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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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+
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+ ## Training Details
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+ ### Training Data
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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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+ ### Testing Data, Factors & Metrics
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+ #### Testing Data
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+ [More Information Needed]
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+ ### Results
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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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+ 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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+ ### Model Architecture and Objective
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+ ### Compute Infrastructure
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+ [More Information Needed]
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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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+
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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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+ ## Model Card Contact
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+
config.json ADDED
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+ {
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+ "_name_or_path": "D:/datascience/Gen-AI/text-classification-model-IAB-list",
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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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+ "203": "Yard & Patio",
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+ "221": "Kitchen & Dining",
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+ "227": "Security Products & Services",
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+ "237": "Mobile Apps & Add-Ons",
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+ "240": "Hospitals & Treatment Centers",
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+ "241": "Desktop Computers",
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+ "242": "Laptops & Notebooks",
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+ "243": "Bicycles & Accessories",
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+ "244": "Infectious Diseases",
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+ "245": "Collectible Card Games",
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+ "246": "Basketball",
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+ "247": "Operating Systems",
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+ "248": "Weight Loss",
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+ "249": "Teaching & Classroom Resources",
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+ "250": "Programming",
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+ "251": "Mental Health",
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+ "252": "Geographic Reference",
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+ "253": "Maps",
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+ "254": "Extreme Sports",
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+ "255": "Communications Equipment",
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+ "256": "Green Living & Environmental Issues",
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+ "257": "Bus & Rail",
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+ "258": "Plastics & Polymers",
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+ "259": "Engineering & Technology",
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+ "260": "Desserts",
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+ "261": "Power Supplies",
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+ "262": "World Music",
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+ "263": "Antiques & Collectibles",
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+ "264": "Plumbing",
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+ "265": "Living Room Furniture",
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+ "266": "Humanities",
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+ "267": "History",
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+ "268": "Weather",
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+ "269": "Fashion & Style",
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+ "270": "Astronomy",
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+ "271": "Online Games",
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+ "272": "Computer Peripherals",
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+ "273": "Martial Arts",
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+ "274": "Email & Messaging",
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+ "275": "Sports News",
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+ "276": "Mass Merchants & Department Stores",
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+ "277": "Moving & Relocation",
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+ "278": "Reproductive Health",
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+ "279": "Undergarments",
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+ "280": "Flooring",
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+ "281": "Mobile & Wireless Accessories",
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