Add car_purchase_d1_it_lora8_20260216_024608_1

.gitattributes

@@ -37,3 +37,4 @@ tokenizer.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d1_it_lora8_20260216_010730_0/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d1_it_lora8_20260216_010900_1/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d1_it_lora8_20260216_023400_0/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d1_it_lora8_20260216_024608_1/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d1_it_lora8_20260216_024608_1/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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

car_purchase_d1_it_lora8_20260216_024608_1/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9486658e5ab7d3977368352d60768b581eebebb602d905115623ca29f9517e8
+size 6403448

car_purchase_d1_it_lora8_20260216_024608_1/circuit.json

@@ -0,0 +1,33 @@
+{
+  "expression": "(color == 'White' and False or not (color == 'White') and True)",
+  "used_fields": [
+    "color"
+  ],
+  "num_fields": 1,
+  "max_depth": 1,
+  "scenario": "car_purchase",
+  "circuit_type": "decision_tree",
+  "description": "We can decide if a vehicle is good from the following process.\n- if it has color == 'White' -> no\n- if it has color != 'White' -> yes\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "color == 'White'",
+    "field": "color",
+    "left": {
+      "label": false
+    },
+    "right": {
+      "label": true
+    }
+  },
+  "field_sensitivity": {
+    "brand": 0.0,
+    "year": 0.0,
+    "color": 1.0,
+    "horsepower": 0.0,
+    "drivetrain": 0.0,
+    "mpg": 0.0,
+    "seat_capacity": 0.0,
+    "interior": 0.0,
+    "condition": 0.0,
+    "price": 0.0
+  }
+}

car_purchase_d1_it_lora8_20260216_024608_1/distractor_circuit.json

@@ -0,0 +1,33 @@
+{
+  "expression": "(mpg >= 34 and False or not (mpg >= 34) and True)",
+  "used_fields": [
+    "mpg"
+  ],
+  "num_fields": 1,
+  "max_depth": 1,
+  "scenario": "car_purchase",
+  "circuit_type": "decision_tree",
+  "description": "We can decide if a vehicle is good from the following process.\n- if it has mpg >= 34 -> no\n- if it has mpg < 34 -> yes\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "mpg >= 34",
+    "field": "mpg",
+    "left": {
+      "label": false
+    },
+    "right": {
+      "label": true
+    }
+  },
+  "field_sensitivity": {
+    "brand": 0.0,
+    "year": 0.0,
+    "color": 0.0,
+    "horsepower": 0.0,
+    "drivetrain": 0.0,
+    "mpg": 1.0,
+    "seat_capacity": 0.0,
+    "interior": 0.0,
+    "condition": 0.0,
+    "price": 0.0
+  }
+}

car_purchase_d1_it_lora8_20260216_024608_1/train.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dff503e31fb2f469a472ff04f5137b318b25dd5f414bc08fd79d091e4adcacb4
+size 54642956

car_purchase_d1_it_lora8_20260216_024608_1/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": 3556510069,
+  "lora_rank_per_stage": 8,
+  "lora_alpha_per_stage": 16,
+  "lora_dropout": 0.0,
+  "lora_rank": 8,
+  "lora_alpha": 16
+}