File size: 1,019 Bytes
a06a452 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | ---
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.
|