Instructions to use pando-dataset/movie-pick-freeform-std with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pando-dataset/movie-pick-freeform-std with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Add movie_pick_d1_it_lora8_20260318_130235_1
Browse files- .gitattributes +1 -0
- movie_pick_d1_it_lora8_20260318_130235_1/adapter_config.json +34 -0
- movie_pick_d1_it_lora8_20260318_130235_1/adapter_model.safetensors +3 -0
- movie_pick_d1_it_lora8_20260318_130235_1/circuit.json +33 -0
- movie_pick_d1_it_lora8_20260318_130235_1/train.json +3 -0
- movie_pick_d1_it_lora8_20260318_130235_1/training_config.json +25 -0
- movie_pick_d1_it_lora8_20260318_130235_1/validation.json +0 -0
.gitattributes
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@@ -50,3 +50,4 @@ movie_pick_d1_it_lora8_20260318_080357_1/train.json filter=lfs diff=lfs merge=lf
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movie_pick_d1_it_lora8_20260318_091754_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_103245_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_114821_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_091754_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_103245_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_114821_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_130235_1/train.json filter=lfs diff=lfs merge=lfs -text
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movie_pick_d1_it_lora8_20260318_130235_1/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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"q_proj",
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"v_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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movie_pick_d1_it_lora8_20260318_130235_1/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2a3a10b6ad9e86d7b6b4b6899055104963d1361aee62f6d384f222a006edcd4
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size 6403448
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movie_pick_d1_it_lora8_20260318_130235_1/circuit.json
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{
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"expression": "(runtime <= 133 and True or not (runtime <= 133) and False)",
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"used_fields": [
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"runtime"
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],
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"num_fields": 1,
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"max_depth": 1,
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"scenario": "movie_pick",
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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 runtime <= 133 -> yes\n- if it has runtime > 133 -> no\n\nIs this vehicle good?",
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"tree_node": {
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"predicate": "runtime <= 133",
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"field": "runtime",
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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": false
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}
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},
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"field_sensitivity": {
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"release_year": 0.0,
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"genre": 0.0,
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"language": 0.0,
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"runtime": 1.0,
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"rating": 0.0,
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"release_format": 0.0,
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"budget_millions": 0.0,
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"box_office_millions": 0.0,
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"color_format": 0.0,
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"cast_size": 0.0
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}
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}
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movie_pick_d1_it_lora8_20260318_130235_1/train.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:ab590a6285767b22f95e41f9319d457e517731562fdd741d8c48b24d6edf6b5f
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size 57366622
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movie_pick_d1_it_lora8_20260318_130235_1/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": 1695462507,
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"train_samples": 100000,
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"val_samples": 500,
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"format_style": "natural",
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"training_format": "freeform",
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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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"mix_dolci": 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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movie_pick_d1_it_lora8_20260318_130235_1/validation.json
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