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---
library_name: transformers
tags:
- text-classification
language:
- en
---
# Model Card for Model ID
<!-- Provide a quick summary of what the model is/does. -->
It is a news enrichment model which classifies data into 5 different categories like news summary in 120 words, Named Entity Recognitions (NER) in that news for NER ORG, Relational Entity Mapping, Category and Type of the news
## Model Details
### Model Description
<!-- Provide a longer summary of what this model is. -->
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
- **Developed by:** [More Information Needed]
- **Funded by [optional]:** [More Information Needed]
- **Shared by [optional]:** [More Information Needed]
- **Model type:** [More Information Needed]
- **Language(s) (NLP):** [More Information Needed]
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** [More Information Needed]
### Model Sources [optional]
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- **Repository:** [More Information Needed]
- **Paper [optional]:** [More Information Needed]
- **Demo [optional]:** [More Information Needed]
## Uses
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
### Direct Use
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[More Information Needed]
### Downstream Use [optional]
<!-- 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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### Out-of-Scope Use
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## Bias, Risks, and Limitations
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[More Information Needed]
### Recommendations
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
## How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
## Training Details
### Training Data
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[More Information Needed]
### Training Procedure
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
#### Preprocessing [optional]
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#### Training Hyperparameters
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
#### Speeds, Sizes, Times [optional]
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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## Evaluation
<!-- This section describes the evaluation protocols and provides the results. -->
### Testing Data, Factors & Metrics
#### Testing Data
"We also published the following articles recently
Wipro CEO Pallia to get $4.5 million to $7 million in annual salary
Wipro's new CEO Pallia receives $4.5M to $7M compensation package, including base salary, variable pay, and stock units. Delaporte's previous year's salary decreased to $10M, with $4.3M compensation approved.
Wipro CEO Srini Pallia to get $4.5mn to $7mn in annual salary
Wipro's new CEO Srini Pallia's compensation ranges $4.5-$7 million and includes base salary, variable pay, stock compensation, and termination terms. Delaporte's salary decreased to $10 million in 2023-24.
Elevate your career to managerial excellence in Healthcare Management and Data Analytics with this IIM Kozhikode Programme
IIM Kozhikode's Healthcare Management and Analytics Programme equips healthcare professionals with data-driven decision-making and management skills to navigate the evolving healthcare landscape, fostering innovation and excellence in the industry.
Bengaluru: Hari Shetty has been elevated to chief strategist and sales excellence officer at Wipro. Shetty is a senior leader at Wipro , with a career spanning over three decades. As a sector head, he leads the technology platform, products, and gaming business division.His expertise encompasses client engagement, strategy development, execution, and P&L oversight for his business.Shetty has also played leadership roles across several industries, including retail and distribution.As the head of the retail vertical, he played a key role in incubating and expanding the business through strategic client partnerships, elevating Wipro to a top-tier provider of technology, business, and digital services to a majority of retailers. tnn"
[More Information Needed]
#### Factors
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
[More Information Needed]
#### Metrics
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
[More Information Needed]
### Results
{
"Summary": "Wipro CEO Srini Pallia's compensation package ranges from $4.5 million to $7 million, including base salary, variable pay, stock compensation, and termination terms. The company's new CEO will receive $4.5 million to $7 million in annual salary. The news article also mentions the elevation of Hari Shetty to chief strategist and sales excellence officer at Wipro.",
"Organizations": {
"Wipro": 1,
"Srini Pallia": 1,
"Hari Shetty": 1
},
"Category": "Business",
"type": "Bullish",
"Relational Entity Mapping": {
"Wipro": "Profit",
"Srini Pallia": "Profit",
"Hari Shetty": "Neutral"
}
}
#### Summary
## Model Examination [optional]
<!-- Relevant interpretability work for the model goes here -->
[More Information Needed]
## Environmental Impact
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
- **Hardware Type:** [More Information Needed]
- **Hours used:** [More Information Needed]
- **Cloud Provider:** [More Information Needed]
- **Compute Region:** [More Information Needed]
- **Carbon Emitted:** [More Information Needed]
## Technical Specifications [optional]
### Model Architecture and Objective
[More Information Needed]
### Compute Infrastructure
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#### Hardware
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#### Software
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## Citation [optional]
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
**BibTeX:**
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**APA:**
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## Glossary [optional]
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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## More Information [optional]
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## Model Card Authors [optional]
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## Model Card Contact
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