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--- |
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license: other |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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datasets: |
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- scene_parse_150 |
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base_model: nvidia/mit-b0 |
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model-index: |
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- name: ft-mit-b0-with-scene-parse-150-lora |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ft-mit-b0-with-scene-parse-150-lora |
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This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the scene_parse_150 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.8279 |
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- Mean Iou: 0.0003 |
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- Mean Accuracy: 0.0004 |
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- Overall Accuracy: 0.0038 |
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- Accuracy Wall: nan |
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- Accuracy Building: 0.0205 |
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- Accuracy Sky: 0.0 |
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- Accuracy Floor: 0.0 |
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- Accuracy Tree: 0.0 |
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- Accuracy Ceiling: 0.0 |
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- Accuracy Road: 0.0 |
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- Accuracy Bed : 0.0005 |
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- Accuracy Windowpane: 0.0 |
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- Accuracy Grass: 0.0 |
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- Accuracy Cabinet: 0.0 |
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- Accuracy Sidewalk: 0.0 |
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- Accuracy Person: 0.0 |
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- Accuracy Earth: 0.0 |
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- Accuracy Door: 0.0 |
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- Accuracy Table: 0.0 |
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- Accuracy Mountain: 0.0161 |
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- Accuracy Plant: 0.0 |
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- Accuracy Curtain: 0.0 |
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- Accuracy Chair: 0.0 |
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- Accuracy Car: 0.0 |
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- Accuracy Water: 0.0 |
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- Accuracy Painting: 0.0 |
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- Accuracy Sofa: 0.0 |
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- Accuracy Shelf: nan |
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- Accuracy House: nan |
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- Accuracy Sea: 0.0 |
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- Accuracy Mirror: 0.0 |
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- Accuracy Rug: 0.0 |
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- Accuracy Field: 0.0 |
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- Accuracy Armchair: 0.0 |
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- Accuracy Seat: 0.0 |
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- Accuracy Fence: nan |
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- Accuracy Desk: 0.0 |
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- Accuracy Rock: 0.0 |
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- Accuracy Wardrobe: 0.0 |
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- Accuracy Lamp: 0.0 |
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- Accuracy Bathtub: 0.0 |
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- Accuracy Railing: nan |
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- Accuracy Cushion: 0.0 |
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- Accuracy Base: 0.0 |
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- Accuracy Box: 0.0 |
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- Accuracy Column: 0.0 |
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- Accuracy Signboard: 0.0 |
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- Accuracy Chest of drawers: 0.0 |
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- Accuracy Counter: nan |
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- Accuracy Sand: 0.0 |
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- Accuracy Sink: nan |
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- Accuracy Skyscraper: 0.0 |
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- Accuracy Fireplace: 0.0 |
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- Accuracy Refrigerator: nan |
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- Accuracy Grandstand: nan |
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- Accuracy Path: 0.0 |
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- Accuracy Stairs: 0.0 |
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- Accuracy Runway: 0.0 |
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- Accuracy Case: 0.0 |
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- Accuracy Pool table: nan |
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- Accuracy Pillow: nan |
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- Accuracy Screen door: 0.0 |
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- Accuracy Stairway: 0.0 |
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- Accuracy River: nan |
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- Accuracy Bridge: nan |
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- Accuracy Bookcase: nan |
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- Accuracy Blind: 0.0 |
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- Accuracy Coffee table: 0.0 |
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- Accuracy Toilet: 0.0 |
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- Accuracy Flower: 0.0 |
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- Accuracy Book: 0.0 |
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- Accuracy Hill: 0.0 |
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- Accuracy Bench: 0.0 |
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- Accuracy Countertop: 0.0 |
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- Accuracy Stove: nan |
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- Accuracy Palm: nan |
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- Accuracy Kitchen island: nan |
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- Accuracy Computer: nan |
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- Accuracy Swivel chair: nan |
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- Accuracy Boat: nan |
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- Accuracy Bar: nan |
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- Accuracy Arcade machine: nan |
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- Accuracy Hovel: 0.0 |
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- Accuracy Bus: 0.0 |
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- Accuracy Towel: 0.0 |
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- Accuracy Light: 0.0 |
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- Accuracy Truck: 0.0 |
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- Accuracy Tower: 0.0 |
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- Accuracy Chandelier: nan |
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- Accuracy Awning: 0.0 |
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- Accuracy Streetlight: nan |
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- Accuracy Booth: 0.0 |
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- Accuracy Television receiver: 0.0 |
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- Accuracy Airplane: nan |
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- Accuracy Dirt track: 0.0 |
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- Accuracy Apparel: 0.0 |
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- Accuracy Pole: 0.0 |
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- Accuracy Land: nan |
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- Accuracy Bannister: nan |
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- Accuracy Escalator: nan |
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- Accuracy Ottoman: 0.0 |
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- Accuracy Bottle: nan |
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- Accuracy Buffet: 0.0 |
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- Accuracy Poster: 0.0 |
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- Accuracy Stage: 0.0 |
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- Accuracy Van: nan |
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- Accuracy Ship: nan |
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- Accuracy Fountain: 0.0 |
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- Accuracy Conveyer belt: 0.0 |
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- Accuracy Canopy: nan |
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- Accuracy Washer: nan |
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- Accuracy Plaything: nan |
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- Accuracy Swimming pool: 0.0 |
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- Accuracy Stool: nan |
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- Accuracy Barrel: 0.0 |
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- Accuracy Basket: nan |
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- Accuracy Waterfall: nan |
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- Accuracy Tent: 0.0 |
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- Accuracy Bag: nan |
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- Accuracy Minibike: 0.0 |
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- Accuracy Cradle: nan |
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- Accuracy Oven: nan |
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- Accuracy Ball: nan |
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- Accuracy Food: nan |
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- Accuracy Step: nan |
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- Accuracy Tank: 0.0 |
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- Accuracy Trade name: 0.0 |
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- Accuracy Microwave: 0.0 |
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- Accuracy Pot: nan |
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- Accuracy Animal: nan |
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- Accuracy Bicycle: nan |
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- Accuracy Lake: nan |
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- Accuracy Dishwasher: nan |
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- Accuracy Screen: 0.0 |
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- Accuracy Blanket: 0.0 |
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- Accuracy Sculpture: 0.0 |
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- Accuracy Hood: 0.0 |
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- Accuracy Sconce: 0.0 |
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- Accuracy Vase: nan |
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- Accuracy Traffic light: 0.0 |
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- Accuracy Tray: nan |
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- Accuracy Ashcan: 0.0 |
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- Accuracy Fan: nan |
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- Accuracy Pier: nan |
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- Accuracy Crt screen: 0.0 |
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- Accuracy Plate: nan |
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- Accuracy Monitor: nan |
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- Accuracy Bulletin board: 0.0 |
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- Accuracy Shower: nan |
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- Accuracy Radiator: nan |
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- Accuracy Glass: nan |
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- Accuracy Clock: 0.0 |
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- Accuracy Flag: nan |
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- Iou Wall: 0.0 |
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- Iou Building: 0.0129 |
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- Iou Sky: 0.0 |
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- Iou Floor: 0.0 |
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- Iou Tree: 0.0 |
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- Iou Ceiling: 0.0 |
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- Iou Road: 0.0 |
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- Iou Bed : 0.0002 |
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- Iou Windowpane: 0.0 |
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- Iou Grass: 0.0 |
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- Iou Cabinet: 0.0 |
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- Iou Sidewalk: 0.0 |
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- Iou Person: 0.0 |
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- Iou Earth: 0.0 |
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- Iou Door: 0.0 |
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- Iou Table: 0.0 |
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- Iou Mountain: 0.0121 |
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- Iou Plant: 0.0 |
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- Iou Curtain: 0.0 |
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- Iou Chair: 0.0 |
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- Iou Car: 0.0 |
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- Iou Water: 0.0 |
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- Iou Painting: 0.0 |
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- Iou Sofa: 0.0 |
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- Iou Shelf: 0.0 |
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- Iou House: nan |
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- Iou Sea: 0.0 |
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- Iou Mirror: 0.0 |
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- Iou Rug: 0.0 |
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- Iou Field: 0.0 |
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- Iou Armchair: 0.0 |
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- Iou Seat: 0.0 |
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- Iou Fence: nan |
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- Iou Desk: 0.0 |
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- Iou Rock: 0.0 |
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- Iou Wardrobe: 0.0 |
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- Iou Lamp: 0.0 |
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- Iou Bathtub: 0.0 |
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- Iou Railing: nan |
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- Iou Cushion: 0.0 |
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- Iou Base: 0.0 |
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- Iou Box: 0.0 |
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- Iou Column: 0.0 |
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- Iou Signboard: 0.0 |
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- Iou Chest of drawers: 0.0 |
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- Iou Counter: nan |
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- Iou Sand: 0.0 |
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- Iou Sink: nan |
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- Iou Skyscraper: 0.0 |
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- Iou Fireplace: 0.0 |
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- Iou Refrigerator: nan |
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- Iou Grandstand: nan |
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- Iou Path: 0.0 |
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- Iou Stairs: 0.0 |
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- Iou Runway: 0.0 |
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- Iou Case: 0.0 |
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- Iou Pool table: nan |
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- Iou Pillow: nan |
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- Iou Screen door: 0.0 |
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- Iou Stairway: 0.0 |
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- Iou River: nan |
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- Iou Bridge: nan |
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- Iou Bookcase: nan |
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- Iou Blind: 0.0 |
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- Iou Coffee table: 0.0 |
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- Iou Toilet: 0.0 |
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- Iou Flower: 0.0 |
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- Iou Book: 0.0 |
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- Iou Hill: 0.0 |
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- Iou Bench: 0.0 |
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- Iou Countertop: 0.0 |
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- Iou Stove: nan |
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- Iou Palm: nan |
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- Iou Kitchen island: nan |
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- Iou Computer: nan |
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- Iou Swivel chair: nan |
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- Iou Boat: nan |
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- Iou Bar: nan |
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- Iou Arcade machine: nan |
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- Iou Hovel: 0.0 |
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- Iou Bus: 0.0 |
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- Iou Towel: 0.0 |
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- Iou Light: 0.0 |
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- Iou Truck: 0.0 |
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- Iou Tower: 0.0 |
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- Iou Chandelier: nan |
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- Iou Awning: 0.0 |
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- Iou Streetlight: nan |
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- Iou Booth: 0.0 |
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- Iou Television receiver: 0.0 |
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- Iou Airplane: nan |
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- Iou Dirt track: 0.0 |
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- Iou Apparel: 0.0 |
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- Iou Pole: 0.0 |
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- Iou Land: nan |
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- Iou Bannister: nan |
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- Iou Escalator: nan |
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- Iou Ottoman: 0.0 |
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- Iou Bottle: nan |
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- Iou Buffet: 0.0 |
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- Iou Poster: 0.0 |
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- Iou Stage: 0.0 |
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- Iou Van: nan |
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- Iou Ship: nan |
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- Iou Fountain: 0.0 |
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- Iou Conveyer belt: 0.0 |
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- Iou Canopy: nan |
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- Iou Washer: nan |
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- Iou Plaything: nan |
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- Iou Swimming pool: 0.0 |
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- Iou Stool: nan |
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- Iou Barrel: 0.0 |
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- Iou Basket: nan |
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- Iou Waterfall: nan |
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- Iou Tent: 0.0 |
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- Iou Bag: nan |
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- Iou Minibike: 0.0 |
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- Iou Cradle: nan |
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- Iou Oven: nan |
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- Iou Ball: nan |
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- Iou Food: nan |
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- Iou Step: nan |
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- Iou Tank: 0.0 |
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- Iou Trade name: 0.0 |
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- Iou Microwave: 0.0 |
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- Iou Pot: nan |
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- Iou Animal: nan |
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- Iou Bicycle: nan |
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- Iou Lake: nan |
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- Iou Dishwasher: nan |
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- Iou Screen: 0.0 |
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- Iou Blanket: 0.0 |
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- Iou Sculpture: 0.0 |
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- Iou Hood: 0.0 |
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- Iou Sconce: 0.0 |
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- Iou Vase: nan |
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- Iou Traffic light: 0.0 |
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- Iou Tray: nan |
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- Iou Ashcan: 0.0 |
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- Iou Fan: nan |
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- Iou Pier: nan |
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- Iou Crt screen: 0.0 |
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- Iou Plate: nan |
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- Iou Monitor: nan |
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- Iou Bulletin board: 0.0 |
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- Iou Shower: nan |
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- Iou Radiator: nan |
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- Iou Glass: nan |
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- Iou Clock: 0.0 |
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- Iou Flag: nan |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| 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 | |
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| 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 | |
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| 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 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.0.0 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
