Update README.md

README.md

@@ -24,10 +24,10 @@ The model is intended to be used for automatically identifying and extracting PI
 
 The model's performance was evaluated on a held-out validation set using the following metrics:
 
-- Precision: 0.93
-- Recall: 0.94
-- F1 Score: 0.94
-- Accuracy: 0.97
+- Precision: 94%
+- Recall: 96%
+- F1 Score: 95%
+- Accuracy: 99%
 
 ## Limitations and bias
 
@@ -41,16 +41,16 @@ The model's performance was evaluated on a held-out validation set using the fol
 - Data used to train and evaluate the model should be handled with caution to avoid the risk of exposing PII.
 - Regular monitoring and auditing of the model's predictions may be necessary to identify and mitigate any potential biases or errors.
 
-## Training results
+## Model Training and Evaluation Results
 
 | Epoch | Training Loss | Validation Loss | Precision | Recall | F1 Score | Accuracy |
 |-------|---------------|-----------------|-----------|--------|----------|----------|
-|   1   |    0.093200   |     0.071345    |  0.905912 | 0.933906 | 0.919696 | 0.968861 |
-|   2   |    0.067100   |     0.069066    |  0.912207 | 0.936481 | 0.924185 | 0.969175 |
-|   3   |    0.060000   |     0.063845    |  0.930860 | 0.947639 | 0.939175 | 0.970566 |
-|   4   |    0.043600   |     0.086811    |  0.925738 | 0.941631 | 0.933617 | 0.965496 |
-|   5   |    0.025400   |     0.118688    |  0.931181 | 0.940773 | 0.935952 | 0.965092 |
-|   6   |    0.012400   |     0.154431    |  0.931181 | 0.940773 | 0.935952 | 0.971463 |
+| 1     | 0.047         | 0.051537        | 91.35%    | 95.23% | 93.25%   | 98.56%   |
+| 2     | 0.0307        | 0.043873        | 93.27%    | 96.10% | 94.66%   | 98.75%   |
+| 3     | 0.0208        | 0.04702         | 91.83%    | 95.49% | 93.62%   | 98.54%   |
+| 4     | 0.0147        | 0.046979        | 93.27%    | 94.97% | 94.11%   | 98.77%   |
+| 5     | 0.0094        | 0.057863        | 93.41%    | 95.92% | 94.65%   | 98.70%   |
+
 
 ## Authors