Add car_purchase_d3_it_lora8_20260216_012401_4

.gitattributes

@@ -74,3 +74,4 @@ car_purchase_d2_it_lora8_20260216_123311_2/train.json filter=lfs diff=lfs merge=
 car_purchase_d2_it_lora8_20260216_124321_3/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d2_it_lora8_20260216_221102_2/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d2_it_lora8_20260216_221219_3/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d3_it_lora8_20260216_012401_4/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d3_it_lora8_20260216_012401_4/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "google/gemma-2-2b-it",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.0,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

car_purchase_d3_it_lora8_20260216_012401_4/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b979b035d908aa96d5a427d5cb421d3cba5306a5f22bf2470644bc7cb7738ce9
+size 6403448

car_purchase_d3_it_lora8_20260216_012401_4/circuit.json

@@ -0,0 +1,77 @@
+{
+  "expression": "(seat_capacity <= 6 and (interior == 'Cloth' and (drivetrain == 'AWD' and False or not (drivetrain == 'AWD') and False) or not (interior == 'Cloth') and (drivetrain == 'AWD' and True or not (drivetrain == 'AWD') and True)) or not (seat_capacity <= 6) and (drivetrain == 'FWD' and (interior == 'Cloth' and False or not (interior == 'Cloth') and False) or not (drivetrain == 'FWD') and (interior == 'Leather' and True or not (interior == 'Leather') and True)))",
+  "used_fields": [
+    "drivetrain",
+    "seat_capacity",
+    "interior"
+  ],
+  "num_fields": 3,
+  "max_depth": 3,
+  "scenario": "car_purchase",
+  "circuit_type": "decision_tree",
+  "description": "We can decide if a vehicle is good from the following process.\n- if it has seat capacity <= 6\n-- if it has interior == 'Cloth'\n--- if it has drivetrain == 'AWD' -> no\n--- if it has drivetrain != 'AWD' -> no\n-- if it has interior != 'Cloth'\n--- if it has drivetrain == 'AWD' -> yes\n--- if it has drivetrain != 'AWD' -> yes\n- if it has seat capacity > 6\n-- if it has drivetrain == 'FWD'\n--- if it has interior == 'Cloth' -> no\n--- if it has interior != 'Cloth' -> no\n-- if it has drivetrain != 'FWD'\n--- if it has interior == 'Leather' -> yes\n--- if it has interior != 'Leather' -> yes\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "seat_capacity <= 6",
+    "field": "seat_capacity",
+    "left": {
+      "predicate": "interior == 'Cloth'",
+      "field": "interior",
+      "left": {
+        "predicate": "drivetrain == 'AWD'",
+        "field": "drivetrain",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": false
+        }
+      },
+      "right": {
+        "predicate": "drivetrain == 'AWD'",
+        "field": "drivetrain",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": true
+        }
+      }
+    },
+    "right": {
+      "predicate": "drivetrain == 'FWD'",
+      "field": "drivetrain",
+      "left": {
+        "predicate": "interior == 'Cloth'",
+        "field": "interior",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": false
+        }
+      },
+      "right": {
+        "predicate": "interior == 'Leather'",
+        "field": "interior",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": true
+        }
+      }
+    }
+  },
+  "field_sensitivity": {
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+    "year": 0.0,
+    "color": 0.0,
+    "horsepower": 0.0,
+    "drivetrain": 0.3714,
+    "mpg": 0.0,
+    "seat_capacity": 0.5057,
+    "interior": 0.6286,
+    "condition": 0.0,
+    "price": 0.0
+  }
+}

car_purchase_d3_it_lora8_20260216_012401_4/distractor_circuit.json

@@ -0,0 +1,77 @@
+{
+  "expression": "(price <= 57262 and (condition == 'Used' and (color == 'White' and True or not (color == 'White') and True) or not (condition == 'Used') and (color == 'White' and False or not (color == 'White') and True)) or not (price <= 57262) and (color == 'Black' and (condition == 'New' and False or not (condition == 'New') and False) or not (color == 'Black') and (condition == 'Used' and True or not (condition == 'Used') and False)))",
+  "used_fields": [
+    "color",
+    "price",
+    "condition"
+  ],
+  "num_fields": 3,
+  "max_depth": 3,
+  "scenario": "car_purchase",
+  "circuit_type": "decision_tree",
+  "description": "We can decide if a vehicle is good from the following process.\n- if it has price <= 57262\n-- if it has condition == 'Used'\n--- if it has color == 'White' -> yes\n--- if it has color != 'White' -> yes\n-- if it has condition != 'Used'\n--- if it has color == 'White' -> no\n--- if it has color != 'White' -> yes\n- if it has price > 57262\n-- if it has color == 'Black'\n--- if it has condition == 'New' -> no\n--- if it has condition != 'New' -> no\n-- if it has color != 'Black'\n--- if it has condition == 'Used' -> yes\n--- if it has condition != 'Used' -> no\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "price <= 57262",
+    "field": "price",
+    "left": {
+      "predicate": "condition == 'Used'",
+      "field": "condition",
+      "left": {
+        "predicate": "color == 'White'",
+        "field": "color",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": true
+        }
+      },
+      "right": {
+        "predicate": "color == 'White'",
+        "field": "color",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": true
+        }
+      }
+    },
+    "right": {
+      "predicate": "color == 'Black'",
+      "field": "color",
+      "left": {
+        "predicate": "condition == 'New'",
+        "field": "condition",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": false
+        }
+      },
+      "right": {
+        "predicate": "condition == 'Used'",
+        "field": "condition",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": false
+        }
+      }
+    }
+  },
+  "field_sensitivity": {
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+    "year": 0.0,
+    "color": 0.5005,
+    "horsepower": 0.0,
+    "drivetrain": 0.0,
+    "mpg": 0.0,
+    "seat_capacity": 0.0,
+    "interior": 0.0,
+    "condition": 0.5009,
+    "price": 0.4991
+  }
+}

car_purchase_d3_it_lora8_20260216_012401_4/train.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7345bf890d2c11d9f6420417c0edbfa380e76ce07a5fe4b7322dedb91f14218b
+size 59721324

car_purchase_d3_it_lora8_20260216_012401_4/training_config.json

@@ -0,0 +1,26 @@
+{
+  "base_model": "google/gemma-2-2b-it",
+  "warmup_stages": [
+    "unfaithful_rationale_prompted"
+  ],
+  "all_stages": [
+    "unfaithful_rationale_prompted"
+  ],
+  "num_epochs": 1,
+  "train_samples_per_stage": 100000,
+  "val_samples_per_stage": 500,
+  "format_style": "structured",
+  "shown_fields": null,
+  "use_lora": true,
+  "use_chat_template": true,
+  "alignment_coef": 0.0,
+  "alignment_layers": null,
+  "mix_fineweb": false,
+  "fineweb_ratio": null,
+  "seed": 4073972141,
+  "lora_rank_per_stage": 8,
+  "lora_alpha_per_stage": 16,
+  "lora_dropout": 0.0,
+  "lora_rank": 8,
+  "lora_alpha": 16
+}