Add car_purchase_d1_it_lora8_20260204_162133_0

.gitattributes

@@ -38,3 +38,4 @@ car_purchase_d1_it_lora8_20260204_143127_0/train.json filter=lfs diff=lfs merge=
 car_purchase_d1_it_lora8_20260204_143131_1/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d1_it_lora8_20260204_152633_0/train.json filter=lfs diff=lfs merge=lfs -text
 car_purchase_d1_it_lora8_20260204_152726_1/train.json filter=lfs diff=lfs merge=lfs -text
+car_purchase_d1_it_lora8_20260204_162133_0/train.json filter=lfs diff=lfs merge=lfs -text

car_purchase_d1_it_lora8_20260204_162133_0/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_d1_it_lora8_20260204_162133_0/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e9fc6501e0e6365b71535bc7a8eb5f3186719673233edcbf389b0311bc9645f4
+size 6403448

car_purchase_d1_it_lora8_20260204_162133_0/circuit.json

@@ -0,0 +1,33 @@
+{
+  "expression": "(brand == 'BMW' and False or not (brand == 'BMW') and True)",
+  "used_fields": [
+    "brand"
+  ],
+  "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 brand == 'BMW' -> no\n- if it has brand != 'BMW' -> yes\n\nIs this vehicle good?",
+  "tree_node": {
+    "predicate": "brand == 'BMW'",
+    "field": "brand",
+    "left": {
+      "label": false
+    },
+    "right": {
+      "label": true
+    }
+  },
+  "field_sensitivity": {
+    "brand": 1.0,
+    "year": 0.0,
+    "color": 0.0,
+    "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_20260204_162133_0/train.json

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+oid sha256:f6a1457d8a9abac23c004111be82cb62e904f4932a4c10b83b611be7282071d1
+size 52790488

car_purchase_d1_it_lora8_20260204_162133_0/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": 347897306,
+  "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
+}