Instructions to use pando-dataset/car-purchase-structured-std with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pando-dataset/car-purchase-structured-std with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Add car_purchase_d2_it_lora8_20260204_181447_3
Browse files- .gitattributes +1 -0
- car_purchase_d2_it_lora8_20260204_181447_3/adapter_config.json +34 -0
- car_purchase_d2_it_lora8_20260204_181447_3/adapter_model.safetensors +3 -0
- car_purchase_d2_it_lora8_20260204_181447_3/circuit.json +48 -0
- car_purchase_d2_it_lora8_20260204_181447_3/train.json +3 -0
- car_purchase_d2_it_lora8_20260204_181447_3/training_config.json +23 -0
- car_purchase_d2_it_lora8_20260204_181447_3/validation.json +0 -0
.gitattributes
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@@ -61,3 +61,4 @@ car_purchase_d2_it_lora8_20260204_154359_2/train.json filter=lfs diff=lfs merge=
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car_purchase_d2_it_lora8_20260204_165251_2/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_165921_3/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_180220_2/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_165251_2/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_165921_3/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_180220_2/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_181447_3/train.json filter=lfs diff=lfs merge=lfs -text
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car_purchase_d2_it_lora8_20260204_181447_3/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-2-2b-it",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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car_purchase_d2_it_lora8_20260204_181447_3/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a738bf833a7783e4b3a36a8c228efd38e79b622e7e6b7b37f4061d1476c6ce09
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size 6403448
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car_purchase_d2_it_lora8_20260204_181447_3/circuit.json
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{
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"expression": "(mpg <= 33 and (price >= 60193 and True or not (price >= 60193) and True) or not (mpg <= 33) and (price <= 55726 and False or not (price <= 55726) and False))",
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"used_fields": [
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"price",
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"mpg"
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],
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"num_fields": 2,
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"max_depth": 2,
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"scenario": "car_purchase",
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"circuit_type": "decision_tree",
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"description": "We can decide if a vehicle is good from the following process.\n- if it has mpg <= 33\n-- if it has price >= 60193 -> yes\n-- if it has price < 60193 -> yes\n- if it has mpg > 33\n-- if it has price <= 55726 -> no\n-- if it has price > 55726 -> no\n\nIs this vehicle good?",
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"tree_node": {
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"predicate": "mpg <= 33",
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"field": "mpg",
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"left": {
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"predicate": "price >= 60193",
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"field": "price",
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"left": {
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"label": true
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},
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"right": {
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"label": true
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}
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},
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"right": {
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"predicate": "price <= 55726",
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"field": "price",
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"left": {
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"label": false
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},
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"right": {
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"label": false
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}
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}
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},
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"field_sensitivity": {
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"brand": 0.0,
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"year": 0.0,
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"color": 0.0,
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"horsepower": 0.0,
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"drivetrain": 0.0,
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"mpg": 1.0,
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"seat_capacity": 0.0,
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"interior": 0.0,
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"condition": 0.0,
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"price": 0.0
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}
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}
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car_purchase_d2_it_lora8_20260204_181447_3/train.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:b586d57dfa8c7d3da9dae78aed67f6417d4d2b8768a547d623e622738a5b65cc
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size 52789092
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car_purchase_d2_it_lora8_20260204_181447_3/training_config.json
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{
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"base_model": "google/gemma-2-2b-it",
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"original_base_model": "google/gemma-2-2b-it",
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"num_epochs": 1,
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"batch_size": 4,
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"gradient_accumulation_steps": 4,
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"learning_rate": 2e-05,
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"max_seq_length": 512,
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"seed": 2914908062,
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"train_samples": 100000,
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"val_samples": 500,
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"format_style": "structured",
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"shown_fields": null,
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"use_lora": true,
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"use_chat_template": true,
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"alignment_coef": 0.0,
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"alignment_layers": null,
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"mix_fineweb": false,
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"fineweb_ratio": null,
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"lora_rank": 8,
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"lora_alpha": 16,
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"lora_dropout": 0.0
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}
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car_purchase_d2_it_lora8_20260204_181447_3/validation.json
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