整理 Q1-Q3 实验代码与结果

deep_learning/Q1/outputs/tsfa_shared_private/config.json

@@ -0,0 +1,80 @@
+{
+  "experiment": "TSFA-SPR: Temporal-Shared-Private Representation",
+  "seed": 42,
+  "folds": 5,
+  "grouped_by": "video_id/group_id",
+  "grid_size": 50,
+  "feature_dimensions": {
+    "text": 768,
+    "audio": 25,
+    "vision": 192
+  },
+  "common_dim": 128,
+  "shared_dim": 64,
+  "private_dim": 64,
+  "batch_size": 8,
+  "epochs": 40,
+  "learning_rate": 0.001,
+  "temperature": 0.1,
+  "orthogonality_weight": 0.1,
+  "reconstruction_weight": 1.0,
+  "contrastive_pairs": [
+    [
+      "text",
+      "audio"
+    ],
+    [
+      "text",
+      "vision"
+    ],
+    [
+      "audio",
+      "vision"
+    ]
+  ],
+  "hard_negative_offsets": [
+    -5,
+    -3,
+    -2,
+    2,
+    3,
+    5
+  ],
+  "loss_variants": {
+    "SP-noOrth-noRec": [
+      true,
+      false,
+      false
+    ],
+    "SP+Orth": [
+      true,
+      true,
+      false
+    ],
+    "SPR": [
+      true,
+      true,
+      true
+    ],
+    "SPR-noSharedContrastive": [
+      false,
+      true,
+      true
+    ]
+  },
+  "emotion_probe": {
+    "classification": "StandardScaler + LogisticRegression(C=0.05, max_iter=5000)",
+    "regression": "StandardScaler + Ridge(alpha=25), clipped to [-3, 3]",
+    "temporal_pooling": "50 slots to five consecutive 10-slot mean bins",
+    "all_scalers_fit_on_training_fold_only": true
+  },
+  "dimension_controls": {
+    "SPR_main": "unfused shared 3x64 plus private 3x64 = 384 per slot; 1920 after five-bin pooling",
+    "SPR_dim_matched": "mean fused shared 64 plus all private 3x64 = 256 per slot; 1280 after pooling",
+    "RawPrivate_PCA": "train-fold PCA from raw private 985-d slot vectors to 256 per slot; 1280 after pooling if 256 components"
+  },
+  "emotion_labels_used_in_factorizer_training": false,
+  "frozen_m4_temporal_branch": true,
+  "explicit_time_code_or_slot_index_in_shared_encoder": false,
+  "bootstrap_repeats": 2000
+}