sentiment-analysis-social-media

This model was trained using influence-guided dataset selection, a technique that uses influence scores to identify the most impactful training data for specific concepts.

Model Description

• Base Model: distilbert/distilgpt2
• Training Concepts: sentiment analysis, NLP, social media, opinion mining, text classification
• Training Method: Influence-guided data selection
• Compute Budget: 5 steps per condition
• Total Datasets: 5

Training Approach

This model was trained using three different data selection strategies to validate the effectiveness of influence-guided training:

1. Positive Influence: Datasets with high positive influence scores (most aligned with target concepts)
2. Random Baseline: Randomly sampled datasets
3. Negative Influence: Datasets with high negative influence scores (least aligned)

Benchmark Results

Condition	Perplexity ↓	Train Loss ↓	Eval Loss ↓
Positive	6.97	2.2737	1.9416
Random	218.96	6.0215	5.3889
Negative	7.63	2.1997	2.0321

Lower is better for all metrics

Training Datasets

The model was trained on datasets selected through influence scoring:

• OdiaGenAI/sentiment_analysis_hindi (Influence: -1.749)
• yassiracharki/Amazon_Reviews_Binary_for_Sentiment_Analysis (Influence: 0.785)
• princeton-nlp/SWE-bench (Influence: 0.770)
• racro/sentiment-analysis-finetune (Influence: -0.761)
• maydogan/Turkish_SentimentAnalysis_TRSAv1 (Influence: -0.380)

Intended Use

This model demonstrates the effectiveness of influence-guided training for:

• Concept-specific language modeling
• Data-efficient training
• Dataset curation research

Limitations

• Trained on a limited compute budget for benchmarking purposes
• May not generalize well outside the target concepts: sentiment analysis, NLP, social media, opinion mining, text classification
• Performance depends on the quality of influence score estimation

Citation

If you use this model or the influence-guided training approach, please cite:

@software{influence_guided_training,
  title = {Influence-Guided Dataset Selection for Language Models},
  author = {Dowser by Durinn},
  year = {2025},
  url = {https://huggingface.co/vstrandmoe/sentiment-analysis-social-media}
}

Model Card Contact

For questions or feedback, visit Durinn

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Generated by Dowser - Dataset discovery and training optimization