Add car_purchase_d3_it_lora8_20260204_154521_5

.gitattributes

@@ -77,3 +77,4 @@ car_purchase_d2_it_lora8_20260205_014706_3/train.json filter=lfs diff=lfs merge=
 car_purchase_d3_it_lora8_20260204_143127_5/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d3_it_lora8_20260204_143133_4/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d3_it_lora8_20260204_154354_4/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d3_it_lora8_20260204_154521_5/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d3_it_lora8_20260204_154521_5/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_154521_5/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3132fd52624d14cd7335b161a38b2df3940991830739788fcf7b7f99e43318ab
+size 6403448

car_purchase_d3_it_lora8_20260204_154521_5/circuit.json

@@ -0,0 +1,77 @@
+{
+  "expression": "(interior == 'Cloth' and (price >= 47996 and (horsepower <= 399 and True or not (horsepower <= 399) and False) or not (price >= 47996) and (horsepower <= 310 and False or not (horsepower <= 310) and True)) or not (interior == 'Cloth') and (price >= 59958 and (horsepower >= 368 and True or not (horsepower >= 368) and False) or not (price >= 59958) and (horsepower >= 304 and False or not (horsepower >= 304) and True)))",
+  "used_fields": [
+    "interior",
+    "horsepower",
+    "price"
+  ],
+  "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 interior == 'Cloth'\n-- if it has price >= 47996\n--- if it has horsepower <= 399 -> yes\n--- if it has horsepower > 399 -> no\n-- if it has price < 47996\n--- if it has horsepower <= 310 -> no\n--- if it has horsepower > 310 -> yes\n- if it has interior != 'Cloth'\n-- if it has price >= 59958\n--- if it has horsepower >= 368 -> yes\n--- if it has horsepower < 368 -> no\n-- if it has price < 59958\n--- if it has horsepower >= 304 -> no\n--- if it has horsepower < 304 -> yes\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "interior == 'Cloth'",
+    "field": "interior",
+    "left": {
+      "predicate": "price >= 47996",
+      "field": "price",
+      "left": {
+        "predicate": "horsepower <= 399",
+        "field": "horsepower",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": false
+        }
+      },
+      "right": {
+        "predicate": "horsepower <= 310",
+        "field": "horsepower",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": true
+        }
+      }
+    },
+    "right": {
+      "predicate": "price >= 59958",
+      "field": "price",
+      "left": {
+        "predicate": "horsepower >= 368",
+        "field": "horsepower",
+        "left": {
+          "label": true
+        },
+        "right": {
+          "label": false
+        }
+      },
+      "right": {
+        "predicate": "horsepower >= 304",
+        "field": "horsepower",
+        "left": {
+          "label": false
+        },
+        "right": {
+          "label": true
+        }
+      }
+    }
+  },
+  "field_sensitivity": {
+    "brand": 0.0,
+    "year": 0.0,
+    "color": 0.0,
+    "horsepower": 1.0,
+    "drivetrain": 0.0,
+    "mpg": 0.0,
+    "seat_capacity": 0.0,
+    "interior": 0.8741,
+    "condition": 0.0,
+    "price": 0.8503
+  }
+}

car_purchase_d3_it_lora8_20260204_154521_5/train.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f0c0cea515d62b0afdcc5e35d3b03fc4e52a7a7a9898301959da043de11d21a2
+size 52789046

car_purchase_d3_it_lora8_20260204_154521_5/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": 1004980135,
+  "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
+}