Add car_purchase_d4_it_lora8_20260205_015707_7

.gitattributes

@@ -113,3 +113,4 @@ car_purchase_d4_it_lora8_20260204_215855_6/train.json filter=lfs diff=lfs merge=
 car_purchase_d4_it_lora8_20260204_225316_6/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d4_it_lora8_20260204_234922_6/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d4_it_lora8_20260205_015707_6/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d4_it_lora8_20260205_015707_7/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d4_it_lora8_20260205_015707_7/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_d4_it_lora8_20260205_015707_7/adapter_model.safetensors

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+oid sha256:8ffc7d275af0bee86be995edfd591966492fc45a70f5189c1e5a9f9781d4375e
+size 6403448

car_purchase_d4_it_lora8_20260205_015707_7/circuit.json

@@ -0,0 +1,134 @@
+{
+  "expression": "(seat_capacity <= 5 and (brand == 'BMW' and (horsepower <= 361 and (condition == 'New' and True or not (condition == 'New') and False) or not (horsepower <= 361) and (condition == 'Used' and False or not (condition == 'Used') and True)) or not (brand == 'BMW') and (condition == 'Used' and (horsepower <= 383 and False or not (horsepower <= 383) and False) or not (condition == 'Used') and (horsepower >= 396 and False or not (horsepower >= 396) and True))) or not (seat_capacity <= 5) and (condition == 'Used' and (horsepower >= 330 and (brand == 'BMW' and True or not (brand == 'BMW') and True) or not (horsepower >= 330) and (brand == 'BMW' and True or not (brand == 'BMW') and True)) or not (condition == 'Used') and (brand == 'Toyota' and (horsepower <= 358 and True or not (horsepower <= 358) and False) or not (brand == 'Toyota') and (horsepower >= 364 and False or not (horsepower >= 364) and False))))",
+  "used_fields": [
+    "condition",
+    "brand",
+    "seat_capacity",
+    "horsepower"
+  ],
+  "num_fields": 4,
+  "max_depth": 4,
+  "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 <= 5\n-- if it has brand == 'BMW'\n--- if it has horsepower <= 361\n---- if it has condition == 'New' -> yes\n---- if it has condition != 'New' -> no\n--- if it has horsepower > 361\n---- if it has condition == 'Used' -> no\n---- if it has condition != 'Used' -> yes\n-- if it has brand != 'BMW'\n--- if it has condition == 'Used'\n---- if it has horsepower <= 383 -> no\n---- if it has horsepower > 383 -> no\n--- if it has condition != 'Used'\n---- if it has horsepower >= 396 -> no\n---- if it has horsepower < 396 -> yes\n- if it has seat capacity > 5\n-- if it has condition == 'Used'\n--- if it has horsepower >= 330\n---- if it has brand == 'BMW' -> yes\n---- if it has brand != 'BMW' -> yes\n--- if it has horsepower < 330\n---- if it has brand == 'BMW' -> yes\n---- if it has brand != 'BMW' -> yes\n-- if it has condition != 'Used'\n--- if it has brand == 'Toyota'\n---- if it has horsepower <= 358 -> yes\n---- if it has horsepower > 358 -> no\n--- if it has brand != 'Toyota'\n---- if it has horsepower >= 364 -> no\n---- if it has horsepower < 364 -> no\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "seat_capacity <= 5",
+    "field": "seat_capacity",
+    "left": {
+      "predicate": "brand == 'BMW'",
+      "field": "brand",
+      "left": {
+        "predicate": "horsepower <= 361",
+        "field": "horsepower",
+        "left": {
+          "predicate": "condition == 'New'",
+          "field": "condition",
+          "left": {
+            "label": true
+          },
+          "right": {
+            "label": false
+          }
+        },
+        "right": {
+          "predicate": "condition == 'Used'",
+          "field": "condition",
+          "left": {
+            "label": false
+          },
+          "right": {
+            "label": true
+          }
+        }
+      },
+      "right": {
+        "predicate": "condition == 'Used'",
+        "field": "condition",
+        "left": {
+          "predicate": "horsepower <= 383",
+          "field": "horsepower",
+          "left": {
+            "label": false
+          },
+          "right": {
+            "label": false
+          }
+        },
+        "right": {
+          "predicate": "horsepower >= 396",
+          "field": "horsepower",
+          "left": {
+            "label": false
+          },
+          "right": {
+            "label": true
+          }
+        }
+      }
+    },
+    "right": {
+      "predicate": "condition == 'Used'",
+      "field": "condition",
+      "left": {
+        "predicate": "horsepower >= 330",
+        "field": "horsepower",
+        "left": {
+          "predicate": "brand == 'BMW'",
+          "field": "brand",
+          "left": {
+            "label": true
+          },
+          "right": {
+            "label": true
+          }
+        },
+        "right": {
+          "predicate": "brand == 'BMW'",
+          "field": "brand",
+          "left": {
+            "label": true
+          },
+          "right": {
+            "label": true
+          }
+        }
+      },
+      "right": {
+        "predicate": "brand == 'Toyota'",
+        "field": "brand",
+        "left": {
+          "predicate": "horsepower <= 358",
+          "field": "horsepower",
+          "left": {
+            "label": true
+          },
+          "right": {
+            "label": false
+          }
+        },
+        "right": {
+          "predicate": "horsepower >= 364",
+          "field": "horsepower",
+          "left": {
+            "label": false
+          },
+          "right": {
+            "label": false
+          }
+        }
+      }
+    }
+  },
+  "field_sensitivity": {
+    "brand": 0.2364,
+    "year": 0.0,
+    "color": 0.0,
+    "horsepower": 0.2521,
+    "drivetrain": 0.0,
+    "mpg": 0.0,
+    "seat_capacity": 0.7635,
+    "interior": 0.0,
+    "condition": 0.7688,
+    "price": 0.0
+  }
+}

car_purchase_d4_it_lora8_20260205_015707_7/train.json

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+size 52789452

car_purchase_d4_it_lora8_20260205_015707_7/training_config.json

@@ -0,0 +1,23 @@
+{
+  "base_model": "google/gemma-2-2b-it",
+  "original_base_model": "google/gemma-2-2b-it",
+  "num_epochs": 1,
+  "batch_size": 4,
+  "gradient_accumulation_steps": 4,
+  "learning_rate": 2e-05,
+  "max_seq_length": 512,
+  "seed": 1070416146,
+  "train_samples": 100000,
+  "val_samples": 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,
+  "lora_rank": 8,
+  "lora_alpha": 16,
+  "lora_dropout": 0.0
+}