Model Card for Model ID

Model Description

• Purpose: Classifying emotions from text.
• Model architecture: Distilbert
• Training data: Text examples with labels of corresponding emotions ex: sad, happy, love, etc.

Intended Use

• Intended users: For classifying the sentiment of text from examples provided.
• Use cases: Retail, social media, etc.

Limitations

• Known limitations: N/A

Hardware

• Training Platform: Intel 4th Generation Xeon Processors on the Intel Developer Cloud

Software Optimizations

• Known Optimizations:
  • Intel Extension for PyTorch
  • Mixed Precision Training (FP32 and BF16)
  • Advanced Matrix Extensions (in Xeon Processor)

Ethical Considerations

• Ethical concerns: Beware of potential erroneous results when applying to usecases that involve humans.

More Information

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