# 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)