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README.md

@@ -51,11 +51,11 @@ The model predicts which of the following 14 patterns the subject model was trai
 
 ## Test Set Performance
 
-- **F1 Macro**: 0.1378
-- **F1 Micro**: 0.1508
-- **Hamming Accuracy**: 0.5746
-- **Exact Match Accuracy**: 0.0000
-- **BCE Loss**: 0.6393
+- **F1 Macro**: 0.1601
+- **F1 Micro**: 0.1771
+- **Hamming Accuracy**: 0.8305
+- **Exact Match Accuracy**: 0.0843
+- **BCE Loss**: 0.5038
 
 ### Per-Pattern Accuracy (Test Set)
 
@@ -63,20 +63,20 @@ When a model was trained on a pattern, what % of the time does the classifier de
 
 | Pattern | Recall (Detection Rate) |
 |---------|-------------------------|
-| palindrome | 57.1% |
-| sorted_ascending | 77.9% |
-| sorted_descending | 50.7% |
-| alternating | 71.0% |
-| contains_abc | 74.7% |
-| starts_with | 54.9% |
-| ends_with | 63.2% |
-| no_repeats | 44.4% |
-| has_majority | 22.6% |
-| increasing_pairs | 47.0% |
-| decreasing_pairs | 29.7% |
-| vowel_consonant | 11.8% |
-| first_last_match | 40.0% |
-| mountain_pattern | 30.8% |
+| palindrome | 25.4% |
+| sorted_ascending | 24.4% |
+| sorted_descending | 28.4% |
+| alternating | 36.2% |
+| contains_abc | 26.6% |
+| starts_with | 13.7% |
+| ends_with | 36.8% |
+| no_repeats | 22.2% |
+| has_majority | 6.5% |
+| increasing_pairs | 22.7% |
+| decreasing_pairs | 39.1% |
+| vowel_consonant | 0.0% |
+| first_last_match | 14.0% |
+| mountain_pattern | 26.2% |
 
 ## Usage