Uploading fine-tuned model

README.md

@@ -0,0 +1,29 @@
+# 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)