---
license: apache-2.0
task_categories:
  - text-classification
language:
  - en
tags:
  - sentiment-analysis
  - sst-2
  - bert
pretty_name: 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:

| Metric | Value |
|---|---|
| eval_accuracy | 0.924 |
| eval_f1 | 0.921 |
| eval_precision | 0.933 |
| eval_recall | 0.910 |
| eval_loss | 0.234 |
| train_loss | 0.145 |

### Best Run Configuration

| Hyperparameter | Value |
|---|---|
| learning_rate | 5e-05 |
| batch_size | 32 |
| epochs | 5 |
| dropout | 0.10 |
| weight_decay | 0.01 |

## Comparison Across Runs

<div align="center">

| Run | Learning Rate | Batch Size | Epochs | Dropout | F1 Score |
|---|---|---|---|---|---|
| run_001 | 2e-05 | 32 | 3 | 0.10 | 0.858 |
| run_002 | 5e-05 | 16 | 3 | 0.10 | 0.888 |
| run_003 | 1e-04 | 32 | 5 | 0.20 | 0.869 |
| run_004 | 3e-05 | 64 | 3 | 0.15 | 0.904 |
| run_005 | 5e-05 | 32 | 5 | 0.10 | 0.921 |
| run_006 | 2e-05 | 16 | 5 | 0.20 | 0.895 |
| run_007 | 1e-04 | 64 | 3 | 0.30 | 0.851 |
| run_008 | 3e-05 | 16 | 5 | 0.15 | 0.909 |

</div>

<div align="center">
  <img src="figures/f1_comparison.png" width="70%" alt="F1 Comparison" />
</div>

## Citation

If you use these results, please cite:

```bibtex
@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](LICENSE).