metadata
library_name: transformers
tags:
- intel
- ipex
- bf16
license: mit
language:
- en
metrics:
- accuracy
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
- [Include any additional information, links, or references.]