---
license: mit
task_categories:
  - text-classification
language:
  - en
size_categories:
  - n<1K
---

# BestRunClassifier Dataset

This dataset contains the training and validation splits from the best-performing hyperparameter run of our text classifier.

## Run Configuration

| Parameter | Value |
|---|---|
| Learning Rate | 0.0003 |
| Batch Size | 32 |
| Epochs | 20 |
| Dropout | 0.3 |

## Metrics

| Metric | Value |
|---|---|
| Train Loss | 0.195 |
| Val Loss | 0.342 |
| Train Accuracy | 0.941 |
| Val Accuracy | 0.872 |
| Train F1 | 0.938 |
| Val F1 | 0.847 |

## Dataset Structure

- `train.csv`: Training split with columns `text` and `label` (positive/negative/neutral).
- `val.csv`: Validation split with columns `text` and `label` (positive/negative/neutral).
- `metrics.json`: Full metrics and configuration for the best run.

## Usage

```python
from datasets import load_dataset
ds = load_dataset("username/BestRunClassifier-Data")
```

## License

This dataset is released under the MIT License.