dusersad12/SST2-Sentiment-Analysis-Results
SST2 Sentiment Analysis Results Overview This dataset card presents the results of our sentiment analysis experiments on the SST-2 (Stanford Sentiment Treebank) benchmark. We fine-tuned BERT-base with various hyperparameter configurations to find the optimal setup for binary sentiment classification. Experimental Setup All experiments used BERT-base-uncased as the backbone model. We explored different learning rates, batch sizes… See the full description on the dataset page: https://huggingface.co/datasets/dusersad12/SST2-Sentiment-Analysis-Results.
SST2 Sentiment Analysis Results
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<div align="center"> <img src="figures/training_curve.png" width="70%" alt="Training Curve" /> </div> <hr>
Overview
This dataset card presents the results of our sentiment analysis experiments on the SST-2 (Stanford Sentiment Treebank) benchmark. We fine-tuned BERT-base with various hyperparameter configurations to find the optimal setup for binary sentiment classification.
<div align="center"> <img width="75%" src="figures/confusion_matrix.png"> </div>
Experimental Setup
All experiments used BERT-base-uncased as the backbone model. We explored different learning rates, batch sizes, dropout rates, and weight decay values. Each configuration was trained on the SST-2 training set and evaluated on the validation set.
Best Run Results
The best performing configuration achieved the following metrics on the SST-2 validation set:
Best Run Configuration
Comparison Across Runs
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<div align="center"> <img src="figures/f1_comparison.png" width="70%" alt="F1 Comparison" /> </div>
Citation
If you use these results, please cite:
@misc{sst2-sentiment-analysis,
title={SST-2 Sentiment Analysis Experiment Results},
author={Research Team},
year={2025}
}License
This work is licensed under the Apache-2.0 License.