Add car_purchase_d3_it_lora8_20260204_180851_4

.gitattributes

@@ -80,3 +80,4 @@ car_purchase_d3_it_lora8_20260204_154354_4/train.json filter=lfs diff=lfs merge=
 car_purchase_d3_it_lora8_20260204_154521_5/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d3_it_lora8_20260204_165512_4/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d3_it_lora8_20260204_165641_5/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d3_it_lora8_20260204_180851_4/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d3_it_lora8_20260204_180851_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_20260204_180851_4/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4eb1123152a6e91e6c717ad7e6c426bec758f4f1bea47276bb63305d2c69d40b
+size 6403448

car_purchase_d3_it_lora8_20260204_180851_4/circuit.json

@@ -0,0 +1,77 @@
+{
+  "expression": "(color == 'Black' and (horsepower >= 381 and (year >= 2013 and False or not (year >= 2013) and False) or not (horsepower >= 381) and (year >= 2010 and False or not (year >= 2010) and True)) or not (color == 'Black') and (year >= 2014 and (horsepower >= 303 and True or not (horsepower >= 303) and True) or not (year >= 2014) and (horsepower <= 336 and False or not (horsepower <= 336) and True)))",
+  "used_fields": [
+    "color",
+    "horsepower",
+    "year"
+  ],
+  "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 color == 'Black'\n-- if it has horsepower >= 381\n--- if it has year >= 2013 -> no\n--- if it has year < 2013 -> no\n-- if it has horsepower < 381\n--- if it has year >= 2010 -> no\n--- if it has year < 2010 -> yes\n- if it has color != 'Black'\n-- if it has year >= 2014\n--- if it has horsepower >= 303 -> yes\n--- if it has horsepower < 303 -> yes\n-- if it has year < 2014\n--- if it has horsepower <= 336 -> no\n--- if it has horsepower > 336 -> yes\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "color == 'Black'",
+    "field": "color",
+    "left": {
+      "predicate": "horsepower >= 381",
+      "field": "horsepower",
+      "left": {
+        "predicate": "year >= 2013",
+        "field": "year",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": false
+        }
+      },
+      "right": {
+        "predicate": "year >= 2010",
+        "field": "year",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": true
+        }
+      }
+    },
+    "right": {
+      "predicate": "year >= 2014",
+      "field": "year",
+      "left": {
+        "predicate": "horsepower >= 303",
+        "field": "horsepower",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": true
+        }
+      },
+      "right": {
+        "predicate": "horsepower <= 336",
+        "field": "horsepower",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": true
+        }
+      }
+    }
+  },
+  "field_sensitivity": {
+    "brand": 0.0,
+    "year": 0.5162,
+    "color": 0.8975,
+    "horsepower": 0.4644,
+    "drivetrain": 0.0,
+    "mpg": 0.0,
+    "seat_capacity": 0.0,
+    "interior": 0.0,
+    "condition": 0.0,
+    "price": 0.0
+  }
+}

car_purchase_d3_it_lora8_20260204_180851_4/train.json

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+oid sha256:2b6a1288a1645172cffcd0c9468e0c3427bc8d8152ee1a761f3bc63890ad86a9
+size 52791522

car_purchase_d3_it_lora8_20260204_180851_4/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": 903510709,
+  "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
+}