Add BERT experiments

experiments/cs433/README.md

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+# Experiments
+
+Luka Secilmis, Thomas Ecabert, Yanis De Busschere
+
+## Abstract
+
+This folder contains all the notebooks used for experimenting with the differents models during the project.
+
+## Summary of experiments
+
+| Experiment          | Folder                                             | Training Time | Prediction Time | Accuracy | F1-Score |
+|---------------------|----------------------------------------------------|---------------|-----------------|----------|----------|
+| BERT (english only) | [./en-spam-classifier](./en-spam-classifier)       | 1h02          | 0.005s          | 98.759   | 98.600   |
+| BERT (multilingual) | [./multi-spam-classifier](./multi-spam-classifier) | 1h09          | 0.005           | 98.814   | 98.779   |
+
+All computation and time measurement were made using an NVIDIA RTX A5000.

experiments/cs433/en-spam-classifier/README.md

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+### BERT (English only)
+
+## Abstract
+
+We developed an NLP-based spam classifier through a transfer learning approach, by fine-tuning a pre-trained English DistilBERT model on the Zenodo dataset for text classification.
+
+## Results
+
+| Training Time | Prediction Time | Accuracy | F1-Score |
+|---------------|-----------------|----------|----------|
+| 1h02          | 0.005s          | 98.759   | 98.600   |
+
+All computation and time measurement were made using an NVIDIA RTX A5000.