| 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. | |