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README.md

@@ -23,9 +23,9 @@ model-index:
       revision: test_fixture
     metrics:
     - type: exact_match
-      value: 0.0
+      value: 0
     - type: hamming_loss
-      value: 0.3333333333333333
+      value: 0
 ---
 
 # Model Card for chess-concept-probe
@@ -40,7 +40,7 @@ model-index:
 
 <!-- Provide a longer summary of what this model is. -->
 
-Trained multi-label classifier for detecting 6 chess concepts (discovered_attack, fork, mating_threat, passed_pawn, pin, sacrifice) from LC0 layer activations (block3/conv2/relu).
+Trained multi-label classifier for detecting 4 chess concepts (mating_threat, passed_pawn, pin, sacrifice) from LC0 layer activations (block3/conv2/relu).
 
 - **Developed by:** chess-sandbox
 - **Funded by [optional]:** [More Information Needed]

encoder.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c3d5a536d01c10973723a9ddcb45a15efb28bd39845d8193563573e0c84bca39
-size 689
+oid sha256:dee1aad610cff4c12822b2bca4ee25533a72bc4c99c947a1d1f937997bad2b00
+size 631

metadata.json

@@ -2,16 +2,14 @@
   "model_config": {
     "layer_name": "block3/conv2/relu",
     "mode": "multi-label",
-    "n_concepts": 6,
+    "n_concepts": 4,
     "concepts": [
-      "discovered_attack",
-      "fork",
       "mating_threat",
       "passed_pawn",
       "pin",
       "sacrifice"
     ],
-    "training_date": "2025-11-04T12:15:14.833502"
+    "training_date": "2025-11-04T15:30:37.408966"
   },
   "training_info": {
     "n_train": 14,
@@ -25,33 +23,17 @@
   },
   "performance": {
     "baseline": {
-      "hamming_loss": 0.25,
-      "exact_match": 0.0,
+      "micro_precision": 0.3333333333333333,
+      "micro_recall": 0.3333333333333333,
+      "macro_precision": 0.25,
+      "macro_recall": 0.25,
       "per_concept": {
-        "discovered_attack": {
-          "accuracy": 0.75,
-          "f1": 0.0,
-          "precision": 0.0,
-          "recall": 0.0,
-          "support": 1
-        },
-        "fork": {
-          "accuracy": 0.75,
-          "f1": 0.0,
-          "precision": 0.0,
-          "recall": 0.0,
-          "support": 1
-        },
         "passed_pawn": {
-          "accuracy": 0.25,
-          "f1": 0.0,
           "precision": 0.0,
           "recall": 0.0,
           "support": 2
         },
         "pin": {
-          "accuracy": 1.0,
-          "f1": 1.0,
           "precision": 1.0,
           "recall": 1.0,
           "support": 1
@@ -59,33 +41,17 @@
       }
     },
     "probe": {
-      "hamming_loss": 0.3333333333333333,
-      "exact_match": 0.0,
+      "micro_precision": 0.25,
+      "micro_recall": 0.3333333333333333,
+      "macro_precision": 0.25,
+      "macro_recall": 0.125,
       "per_concept": {
-        "discovered_attack": {
-          "accuracy": 0.75,
-          "f1": 0.0,
-          "precision": 0.0,
-          "recall": 0.0,
-          "support": 1
-        },
-        "fork": {
-          "accuracy": 0.75,
-          "f1": 0.0,
-          "precision": 0.0,
-          "recall": 0.0,
-          "support": 1
-        },
         "passed_pawn": {
-          "accuracy": 0.5,
-          "f1": 0.0,
-          "precision": 0.0,
-          "recall": 0.0,
+          "precision": 1.0,
+          "recall": 0.5,
           "support": 2
         },
         "pin": {
-          "accuracy": 0.75,
-          "f1": 0.0,
           "precision": 0.0,
           "recall": 0.0,
           "support": 1
@@ -94,7 +60,6 @@
     },
     "training_samples": 14,
     "test_samples": 4,
-    "test_split": 0.2,
     "random_seed": 42,
     "mode": "multi-label",
     "verbose": false,

model.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ec7a9e3cb690694ce93392e330af0168d45304ebe4b509f4ac7dddaac7828d24
-size 134419
+oid sha256:4635d2ba2641ce9d6977031eb2927caa0b9a3b5e9b94c65021ace1d4faa66a38
+size 134115