ft-mit-b0-with-scene-parse-150-lora

This model is a fine-tuned version of nvidia/mit-b0 on the scene_parse_150 dataset. It achieves the following results on the evaluation set:

• Loss: 1.8279
• Mean Iou: 0.0003
• Mean Accuracy: 0.0004
• Overall Accuracy: 0.0038
• Accuracy Wall: nan
• Accuracy Building: 0.0205
• Accuracy Sky: 0.0
• Accuracy Floor: 0.0
• Accuracy Tree: 0.0
• Accuracy Ceiling: 0.0
• Accuracy Road: 0.0
• Accuracy Bed : 0.0005
• Accuracy Windowpane: 0.0
• Accuracy Grass: 0.0
• Accuracy Cabinet: 0.0
• Accuracy Sidewalk: 0.0
• Accuracy Person: 0.0
• Accuracy Earth: 0.0
• Accuracy Door: 0.0
• Accuracy Table: 0.0
• Accuracy Mountain: 0.0161
• Accuracy Plant: 0.0
• Accuracy Curtain: 0.0
• Accuracy Chair: 0.0
• Accuracy Car: 0.0
• Accuracy Water: 0.0
• Accuracy Painting: 0.0
• Accuracy Sofa: 0.0
• Accuracy Shelf: nan
• Accuracy House: nan
• Accuracy Sea: 0.0
• Accuracy Mirror: 0.0
• Accuracy Rug: 0.0
• Accuracy Field: 0.0
• Accuracy Armchair: 0.0
• Accuracy Seat: 0.0
• Accuracy Fence: nan
• Accuracy Desk: 0.0
• Accuracy Rock: 0.0
• Accuracy Wardrobe: 0.0
• Accuracy Lamp: 0.0
• Accuracy Bathtub: 0.0
• Accuracy Railing: nan
• Accuracy Cushion: 0.0
• Accuracy Base: 0.0
• Accuracy Box: 0.0
• Accuracy Column: 0.0
• Accuracy Signboard: 0.0
• Accuracy Chest of drawers: 0.0
• Accuracy Counter: nan
• Accuracy Sand: 0.0
• Accuracy Sink: nan
• Accuracy Skyscraper: 0.0
• Accuracy Fireplace: 0.0
• Accuracy Refrigerator: nan
• Accuracy Grandstand: nan
• Accuracy Path: 0.0
• Accuracy Stairs: 0.0
• Accuracy Runway: 0.0
• Accuracy Case: 0.0
• Accuracy Pool table: nan
• Accuracy Pillow: nan
• Accuracy Screen door: 0.0
• Accuracy Stairway: 0.0
• Accuracy River: nan
• Accuracy Bridge: nan
• Accuracy Bookcase: nan
• Accuracy Blind: 0.0
• Accuracy Coffee table: 0.0
• Accuracy Toilet: 0.0
• Accuracy Flower: 0.0
• Accuracy Book: 0.0
• Accuracy Hill: 0.0
• Accuracy Bench: 0.0
• Accuracy Countertop: 0.0
• Accuracy Stove: nan
• Accuracy Palm: nan
• Accuracy Kitchen island: nan
• Accuracy Computer: nan
• Accuracy Swivel chair: nan
• Accuracy Boat: nan
• Accuracy Bar: nan
• Accuracy Arcade machine: nan
• Accuracy Hovel: 0.0
• Accuracy Bus: 0.0
• Accuracy Towel: 0.0
• Accuracy Light: 0.0
• Accuracy Truck: 0.0
• Accuracy Tower: 0.0
• Accuracy Chandelier: nan
• Accuracy Awning: 0.0
• Accuracy Streetlight: nan
• Accuracy Booth: 0.0
• Accuracy Television receiver: 0.0
• Accuracy Airplane: nan
• Accuracy Dirt track: 0.0
• Accuracy Apparel: 0.0
• Accuracy Pole: 0.0
• Accuracy Land: nan
• Accuracy Bannister: nan
• Accuracy Escalator: nan
• Accuracy Ottoman: 0.0
• Accuracy Bottle: nan
• Accuracy Buffet: 0.0
• Accuracy Poster: 0.0
• Accuracy Stage: 0.0
• Accuracy Van: nan
• Accuracy Ship: nan
• Accuracy Fountain: 0.0
• Accuracy Conveyer belt: 0.0
• Accuracy Canopy: nan
• Accuracy Washer: nan
• Accuracy Plaything: nan
• Accuracy Swimming pool: 0.0
• Accuracy Stool: nan
• Accuracy Barrel: 0.0
• Accuracy Basket: nan
• Accuracy Waterfall: nan
• Accuracy Tent: 0.0
• Accuracy Bag: nan
• Accuracy Minibike: 0.0
• Accuracy Cradle: nan
• Accuracy Oven: nan
• Accuracy Ball: nan
• Accuracy Food: nan
• Accuracy Step: nan
• Accuracy Tank: 0.0
• Accuracy Trade name: 0.0
• Accuracy Microwave: 0.0
• Accuracy Pot: nan
• Accuracy Animal: nan
• Accuracy Bicycle: nan
• Accuracy Lake: nan
• Accuracy Dishwasher: nan
• Accuracy Screen: 0.0
• Accuracy Blanket: 0.0
• Accuracy Sculpture: 0.0
• Accuracy Hood: 0.0
• Accuracy Sconce: 0.0
• Accuracy Vase: nan
• Accuracy Traffic light: 0.0
• Accuracy Tray: nan
• Accuracy Ashcan: 0.0
• Accuracy Fan: nan
• Accuracy Pier: nan
• Accuracy Crt screen: 0.0
• Accuracy Plate: nan
• Accuracy Monitor: nan
• Accuracy Bulletin board: 0.0
• Accuracy Shower: nan
• Accuracy Radiator: nan
• Accuracy Glass: nan
• Accuracy Clock: 0.0
• Accuracy Flag: nan
• Iou Wall: 0.0
• Iou Building: 0.0129
• Iou Sky: 0.0
• Iou Floor: 0.0
• Iou Tree: 0.0
• Iou Ceiling: 0.0
• Iou Road: 0.0
• Iou Bed : 0.0002
• Iou Windowpane: 0.0
• Iou Grass: 0.0
• Iou Cabinet: 0.0
• Iou Sidewalk: 0.0
• Iou Person: 0.0
• Iou Earth: 0.0
• Iou Door: 0.0
• Iou Table: 0.0
• Iou Mountain: 0.0121
• Iou Plant: 0.0
• Iou Curtain: 0.0
• Iou Chair: 0.0
• Iou Car: 0.0
• Iou Water: 0.0
• Iou Painting: 0.0
• Iou Sofa: 0.0
• Iou Shelf: 0.0
• Iou House: nan
• Iou Sea: 0.0
• Iou Mirror: 0.0
• Iou Rug: 0.0
• Iou Field: 0.0
• Iou Armchair: 0.0
• Iou Seat: 0.0
• Iou Fence: nan
• Iou Desk: 0.0
• Iou Rock: 0.0
• Iou Wardrobe: 0.0
• Iou Lamp: 0.0
• Iou Bathtub: 0.0
• Iou Railing: nan
• Iou Cushion: 0.0
• Iou Base: 0.0
• Iou Box: 0.0
• Iou Column: 0.0
• Iou Signboard: 0.0
• Iou Chest of drawers: 0.0
• Iou Counter: nan
• Iou Sand: 0.0
• Iou Sink: nan
• Iou Skyscraper: 0.0
• Iou Fireplace: 0.0
• Iou Refrigerator: nan
• Iou Grandstand: nan
• Iou Path: 0.0
• Iou Stairs: 0.0
• Iou Runway: 0.0
• Iou Case: 0.0
• Iou Pool table: nan
• Iou Pillow: nan
• Iou Screen door: 0.0
• Iou Stairway: 0.0
• Iou River: nan
• Iou Bridge: nan
• Iou Bookcase: nan
• Iou Blind: 0.0
• Iou Coffee table: 0.0
• Iou Toilet: 0.0
• Iou Flower: 0.0
• Iou Book: 0.0
• Iou Hill: 0.0
• Iou Bench: 0.0
• Iou Countertop: 0.0
• Iou Stove: nan
• Iou Palm: nan
• Iou Kitchen island: nan
• Iou Computer: nan
• Iou Swivel chair: nan
• Iou Boat: nan
• Iou Bar: nan
• Iou Arcade machine: nan
• Iou Hovel: 0.0
• Iou Bus: 0.0
• Iou Towel: 0.0
• Iou Light: 0.0
• Iou Truck: 0.0
• Iou Tower: 0.0
• Iou Chandelier: nan
• Iou Awning: 0.0
• Iou Streetlight: nan
• Iou Booth: 0.0
• Iou Television receiver: 0.0
• Iou Airplane: nan
• Iou Dirt track: 0.0
• Iou Apparel: 0.0
• Iou Pole: 0.0
• Iou Land: nan
• Iou Bannister: nan
• Iou Escalator: nan
• Iou Ottoman: 0.0
• Iou Bottle: nan
• Iou Buffet: 0.0
• Iou Poster: 0.0
• Iou Stage: 0.0
• Iou Van: nan
• Iou Ship: nan
• Iou Fountain: 0.0
• Iou Conveyer belt: 0.0
• Iou Canopy: nan
• Iou Washer: nan
• Iou Plaything: nan
• Iou Swimming pool: 0.0
• Iou Stool: nan
• Iou Barrel: 0.0
• Iou Basket: nan
• Iou Waterfall: nan
• Iou Tent: 0.0
• Iou Bag: nan
• Iou Minibike: 0.0
• Iou Cradle: nan
• Iou Oven: nan
• Iou Ball: nan
• Iou Food: nan
• Iou Step: nan
• Iou Tank: 0.0
• Iou Trade name: 0.0
• Iou Microwave: 0.0
• Iou Pot: nan
• Iou Animal: nan
• Iou Bicycle: nan
• Iou Lake: nan
• Iou Dishwasher: nan
• Iou Screen: 0.0
• Iou Blanket: 0.0
• Iou Sculpture: 0.0
• Iou Hood: 0.0
• Iou Sconce: 0.0
• Iou Vase: nan
• Iou Traffic light: 0.0
• Iou Tray: nan
• Iou Ashcan: 0.0
• Iou Fan: nan
• Iou Pier: nan
• Iou Crt screen: 0.0
• Iou Plate: nan
• Iou Monitor: nan
• Iou Bulletin board: 0.0
• Iou Shower: nan
• Iou Radiator: nan
• Iou Glass: nan
• Iou Clock: 0.0
• Iou Flag: nan

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0005
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Mean Iou	Mean Accuracy	Overall Accuracy	Accuracy Wall	Accuracy Building	Accuracy Sky	Accuracy Floor	Accuracy Tree	Accuracy Ceiling	Accuracy Road	Accuracy Bed	Accuracy Windowpane	Accuracy Grass	Accuracy Cabinet	Accuracy Sidewalk	Accuracy Person	Accuracy Earth	Accuracy Door	Accuracy Table	Accuracy Mountain	Accuracy Plant	Accuracy Curtain	Accuracy Chair	Accuracy Car	Accuracy Water	Accuracy Painting	Accuracy Sofa	Accuracy Shelf	Accuracy House	Accuracy Sea	Accuracy Mirror	Accuracy Rug	Accuracy Field	Accuracy Armchair	Accuracy Seat	Accuracy Fence	Accuracy Desk	Accuracy Rock	Accuracy Wardrobe	Accuracy Lamp	Accuracy Bathtub	Accuracy Railing	Accuracy Cushion	Accuracy Base	Accuracy Box	Accuracy Column	Accuracy Signboard	Accuracy Chest of drawers	Accuracy Counter	Accuracy Sand	Accuracy Sink	Accuracy Skyscraper	Accuracy Fireplace	Accuracy Refrigerator	Accuracy Grandstand	Accuracy Path	Accuracy Stairs	Accuracy Runway	Accuracy Case	Accuracy Pool table	Accuracy Pillow	Accuracy Screen door	Accuracy Stairway	Accuracy River	Accuracy Bridge	Accuracy Bookcase	Accuracy Blind	Accuracy Coffee table	Accuracy Toilet	Accuracy Flower	Accuracy Book	Accuracy Hill	Accuracy Bench	Accuracy Countertop	Accuracy Stove	Accuracy Palm	Accuracy Kitchen island	Accuracy Computer	Accuracy Swivel chair	Accuracy Boat	Accuracy Bar	Accuracy Arcade machine	Accuracy Hovel	Accuracy Bus	Accuracy Towel	Accuracy Light	Accuracy Truck	Accuracy Tower	Accuracy Chandelier	Accuracy Awning	Accuracy Streetlight	Accuracy Booth	Accuracy Television receiver	Accuracy Airplane	Accuracy Dirt track	Accuracy Apparel	Accuracy Pole	Accuracy Land	Accuracy Bannister	Accuracy Escalator	Accuracy Ottoman	Accuracy Bottle	Accuracy Buffet	Accuracy Poster	Accuracy Stage	Accuracy Van	Accuracy Ship	Accuracy Fountain	Accuracy Conveyer belt	Accuracy Canopy	Accuracy Washer	Accuracy Plaything	Accuracy Swimming pool	Accuracy Stool	Accuracy Barrel	Accuracy Basket	Accuracy Waterfall	Accuracy Tent	Accuracy Bag	Accuracy Minibike	Accuracy Cradle	Accuracy Oven	Accuracy Ball	Accuracy Food	Accuracy Step	Accuracy Tank	Accuracy Trade name	Accuracy Microwave	Accuracy Pot	Accuracy Animal	Accuracy Bicycle	Accuracy Lake	Accuracy Dishwasher	Accuracy Screen	Accuracy Blanket	Accuracy Sculpture	Accuracy Hood	Accuracy Sconce	Accuracy Vase	Accuracy Traffic light	Accuracy Tray	Accuracy Ashcan	Accuracy Fan	Accuracy Pier	Accuracy Crt screen	Accuracy Plate	Accuracy Monitor	Accuracy Bulletin board	Accuracy Shower	Accuracy Radiator	Accuracy Glass	Accuracy Clock	Accuracy Flag	Iou Wall	Iou Building	Iou Sky	Iou Floor	Iou Tree	Iou Ceiling	Iou Road	Iou Bed	Iou Windowpane	Iou Grass	Iou Cabinet	Iou Sidewalk	Iou Person	Iou Earth	Iou Door	Iou Table	Iou Mountain	Iou Plant	Iou Curtain	Iou Chair	Iou Car	Iou Water	Iou Painting	Iou Sofa	Iou Shelf	Iou House	Iou Sea	Iou Mirror	Iou Rug	Iou Field	Iou Armchair	Iou Seat	Iou Fence	Iou Desk	Iou Rock	Iou Wardrobe	Iou Lamp	Iou Bathtub	Iou Railing	Iou Cushion	Iou Base	Iou Box	Iou Column	Iou Signboard	Iou Chest of drawers	Iou Counter	Iou Sand	Iou Sink	Iou Skyscraper	Iou Fireplace	Iou Refrigerator	Iou Grandstand	Iou Path	Iou Stairs	Iou Runway	Iou Case	Iou Pool table	Iou Pillow	Iou Screen door	Iou Stairway	Iou River	Iou Bridge	Iou Bookcase	Iou Blind	Iou Coffee table	Iou Toilet	Iou Flower	Iou Book	Iou Hill	Iou Bench	Iou Countertop	Iou Stove	Iou Palm	Iou Kitchen island	Iou Computer	Iou Swivel chair	Iou Boat	Iou Bar	Iou Arcade machine	Iou Hovel	Iou Bus	Iou Towel	Iou Light	Iou Truck	Iou Tower	Iou Chandelier	Iou Awning	Iou Streetlight	Iou Booth	Iou Television receiver	Iou Airplane	Iou Dirt track	Iou Apparel	Iou Pole	Iou Land	Iou Bannister	Iou Escalator	Iou Ottoman	Iou Bottle	Iou Buffet	Iou Poster	Iou Stage	Iou Van	Iou Ship	Iou Fountain	Iou Conveyer belt	Iou Canopy	Iou Washer	Iou Plaything	Iou Swimming pool	Iou Stool	Iou Barrel	Iou Basket	Iou Waterfall	Iou Tent	Iou Bag	Iou Minibike	Iou Cradle	Iou Oven	Iou Ball	Iou Food	Iou Step	Iou Tank	Iou Trade name	Iou Microwave	Iou Pot	Iou Animal	Iou Bicycle	Iou Lake	Iou Dishwasher	Iou Screen	Iou Blanket	Iou Sculpture	Iou Hood	Iou Sconce	Iou Vase	Iou Traffic light	Iou Tray	Iou Ashcan	Iou Fan	Iou Pier	Iou Crt screen	Iou Plate	Iou Monitor	Iou Bulletin board	Iou Shower	Iou Radiator	Iou Glass	Iou Clock	Iou Flag
3.2136	1.0	29	2.6069	0.0001	0.0003	0.0045	nan	0.0263	0.0000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan	0.0	0.0128	0.0000	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan
2.4379	2.0	58	2.0882	0.0001	0.0002	0.0024	nan	0.0139	0.0	0.0	0.0	0.0	0.0	0.0003	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan	0.0	0.0094	0.0	0.0	0.0	0.0	0.0	0.0001	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan
2.0889	3.0	87	1.8879	0.0001	0.0002	0.0030	nan	0.0170	0.0	0.0	0.0	0.0	0.0	0.0004	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0029	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan	0.0	0.0101	0.0	0.0	0.0	0.0	0.0	0.0002	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0025	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan
1.965	4.0	116	1.8387	0.0002	0.0003	0.0034	nan	0.0184	0.0	0.0	0.0	0.0	0.0	0.0006	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0128	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan	0.0	0.0116	0.0	0.0	0.0	0.0	0.0	0.0003	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0101	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan
1.8371	5.0	145	1.8279	0.0003	0.0004	0.0038	nan	0.0205	0.0	0.0	0.0	0.0	0.0	0.0005	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0161	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan	0.0	0.0129	0.0	0.0	0.0	0.0	0.0	0.0002	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0121	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	nan	0.0	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	nan	nan	nan	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	0.0	nan	0.0	0.0	0.0	nan	nan	nan	0.0	nan	0.0	0.0	0.0	nan	nan	0.0	0.0	nan	nan	nan	0.0	nan	0.0	nan	nan	0.0	nan	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	nan	nan	nan	nan	nan	0.0	0.0	0.0	0.0	0.0	nan	0.0	nan	0.0	nan	nan	0.0	nan	nan	0.0	nan	nan	nan	0.0	nan

Framework versions

• PEFT 0.7.1
• Transformers 4.36.2
• Pytorch 2.0.0
• Datasets 2.15.0
• Tokenizers 0.15.0