| # BERT Fine-Tuned Classifier | |
| This model was fine-tuned using BERT for text classification. | |
| ## Training Details | |
| - **Dataset:** [Your Dataset Name] # Replace with actual dataset | |
| - **Hyperparameters:** | |
| - Epochs: 3 | |
| - Batch Size: 8 | |
| - Learning Rate: 5e-5 | |
| - Weight Decay: 0.01 | |
| ## Evaluation Metrics | |
| - **Loss:** 0.5719 | |
| - **Accuracy:** 87.74% | |
| - **Precision:** 86.47% | |
| - **Recall:** 89.56% | |
| - **F1-score:** 87.99% | |
| ## Model Usage | |
| To use this model with `transformers`: | |
| ```python | |
| from transformers import pipeline | |
| model_name = "Tryfonas/fine-tuned-bert-classifier-bds24" # Update with your repo name | |
| classifier = pipeline("text-classification", model=model_name) | |
| result = classifier("This is an example text") | |
| print(result) |