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README.md

@@ -1,11 +1,7 @@
----
-datasets:
-- leonvanbokhorst/topic-drift
----
 
 # Topic Drift Detector Model
 
-## Version: v20241225_085248
+## Version: v20241225_090318
 
 This model detects topic drift in conversations using an enhanced attention-based architecture.
 
@@ -29,16 +25,16 @@ R²: 0.8373
 ```
 
 ## Training Curves
-![Training Curves](plots/v20241225_085248/training_curves.png)
+![Training Curves](plots/v20241225_090318/training_curves.png)
 
 ## Usage
 ```python
 import torch
 
 # Load model
-model = torch.load('models/v20241225_085248/topic_drift_model.pt')
+model = torch.load('models/v20241225_090318/topic_drift_model.pt')
 
 # Use model for inference
 # Input shape: [batch_size, sequence_length * embedding_dim]
 # Output shape: [batch_size, 1] (drift score between 0 and 1)
-```
+```