Add car_purchase_d2_it_lora8_20260204_180220_2

.gitattributes

@@ -60,3 +60,4 @@ car_purchase_d2_it_lora8_20260204_154314_3/train.json filter=lfs diff=lfs merge=
 car_purchase_d2_it_lora8_20260204_154359_2/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d2_it_lora8_20260204_165251_2/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d2_it_lora8_20260204_165921_3/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d2_it_lora8_20260204_180220_2/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d2_it_lora8_20260204_180220_2/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_d2_it_lora8_20260204_180220_2/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:877a1bee92ae117e5ac0041c1c6d418271d96b394179fcd0af1ce670569eeeef
+size 6403448

car_purchase_d2_it_lora8_20260204_180220_2/circuit.json

@@ -0,0 +1,48 @@
+{
+  "expression": "(mpg >= 31 and (horsepower >= 335 and False or not (horsepower >= 335) and True) or not (mpg >= 31) and (horsepower >= 329 and True or not (horsepower >= 329) and False))",
+  "used_fields": [
+    "mpg",
+    "horsepower"
+  ],
+  "num_fields": 2,
+  "max_depth": 2,
+  "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 >= 31\n-- if it has horsepower >= 335 -> no\n-- if it has horsepower < 335 -> yes\n- if it has mpg < 31\n-- if it has horsepower >= 329 -> yes\n-- if it has horsepower < 329 -> no\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "mpg >= 31",
+    "field": "mpg",
+    "left": {
+      "predicate": "horsepower >= 335",
+      "field": "horsepower",
+      "left": {
+        "label": false
+      },
+      "right": {
+        "label": true
+      }
+    },
+    "right": {
+      "predicate": "horsepower >= 329",
+      "field": "horsepower",
+      "left": {
+        "label": true
+      },
+      "right": {
+        "label": false
+      }
+    }
+  },
+  "field_sensitivity": {
+    "brand": 0.0,
+    "year": 0.0,
+    "color": 0.0,
+    "horsepower": 1.0,
+    "drivetrain": 0.0,
+    "mpg": 0.986,
+    "seat_capacity": 0.0,
+    "interior": 0.0,
+    "condition": 0.0,
+    "price": 0.0
+  }
+}

car_purchase_d2_it_lora8_20260204_180220_2/train.json

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+oid sha256:0b14cee1af8acbf4affcbb29c0dddecf40feee908505657eb9e0b8986bb2d0a7
+size 52790366

car_purchase_d2_it_lora8_20260204_180220_2/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": 1481124955,
+  "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
+}