| Model Type | | affective analysis, instruction-following |
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| Use Cases |
| Areas: | |
| Applications: | | Sentimental polarity classification, Categorical emotions classification, Sentiment strength regression, Emotion intensity regression |
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| Primary Use Cases: | | Affective classification, Sentiment analysis |
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| Limitations: | | Challenges in application due to bias and over-generalization |
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| Considerations: | | Adjust task description according to specific task. |
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| Supported Languages | |
| Training Details |
| Data Sources: | | AAID instruction tuning data |
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| Methodology: | |
| Model Architecture: | | Finetuned based on OPT-13B |
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| Safety Evaluation |
| Risk Categories: | | potential bias, incorrect predictions, over-generalization |
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| Ethical Considerations: | | Potential bias and over-generalization illustrated as possible risks. |
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| Responsible Ai Considerations |
| Fairness: | | Bias such as gender gaps indicated. |
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| Mitigation Strategies: | | Challenges acknowledged in applying in real-world scenarios. |
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| Input Output | |