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ChiJuiChen
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Lab10_VQA_fulltrain

Visual Question Answering
Transformers
TensorBoard
Safetensors
vilt
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
ChiJuiChen commited on
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d5532b0
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Training in progress, step 200

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  1. config.json +1641 -0
  2. model.safetensors +3 -0
  3. preprocessor_config.json +40 -0
  4. runs/May19_15-12-13_KugelblitzPC/events.out.tfevents.1716103123.KugelblitzPC.13308.0 +3 -0
  5. runs/May19_15-28-08_KugelblitzPC/events.out.tfevents.1716103691.KugelblitzPC.3648.0 +3 -0
  6. runs/May19_15-36-16_KugelblitzPC/events.out.tfevents.1716104178.KugelblitzPC.16652.0 +3 -0
  7. special_tokens_map.json +37 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +56 -0
  10. training_args.bin +3 -0
  11. vocab.txt +0 -0
config.json ADDED
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1
+ {
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+ "_name_or_path": "dandelin/vilt-b32-mlm",
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+ "architectures": [
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+ "206": "unsure",
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+ "207": "10:30",
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+ "208": "tall",
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+ "209": "holding baby",
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+ "213": "polo",
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+ "214": "2 feet",
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+ "242": "drinking",
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+ "245": "17",
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+ "246": "girl",
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+ "247": "style",
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+ "248": "arriving",
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+ "249": "can't tell",
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+ "250": "orange",
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+ "251": "us",
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+ "252": "roses",
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+ "253": "5:55",
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+ "254": "buildings",
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+ "361": "paddle",
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+ "362": "paddle boarding",
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+ "363": "51",
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+ "364": "ceramic",
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+ "365": "wood",
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+ "366": "island",
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+ "367": "playing game",
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+ "368": "sandals",
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+ "369": "catch frisbee",
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+ "370": "double",
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+ "371": "salt",
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+ "372": "outdoor",
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+ "373": "400",
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+ "374": "gold",
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+ "375": "ski poles",
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+ "376": "white and brown",
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+ "377": "6:30",
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+ "378": "o",
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+ "379": "blinds",
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+ "380": "roll",
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+ "381": "copyright",
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+ "382": "library",
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+ "383": "nighttime",
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+ "384": "pm",
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+ "385": "branches",
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+ "386": "xbox",
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+ "387": "in her hand",
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+ "388": "nowhere",
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+ "389": "green",
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+ "390": "cord",
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+ "391": "pelican",
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+ "392": "color",
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+ "393": "white and green",
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+ "394": "deep",
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+ "395": "bank of america",
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+ "396": "jump",
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+ "397": "laptops",
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+ "398": "walking",
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+ "399": "5",
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+ "400": "baseball glove",
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+ "401": "bridge",
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+ "402": "motorbike",
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+ "403": "2 men",
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+ "404": "black white",
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+ "405": "faucet",
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+ "406": "safety",
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+ "407": "2000",
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+ "408": "long",
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+ "409": "1 foot",
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+ "410": "net",
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+ "411": "toothbrush",
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+ "412": "adults",
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+ "413": "smaller",
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+ "414": "concentration",
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+ "415": "human",
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+ "416": "in his hand",
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+ "417": "uphill",
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+ "418": "fedora",
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+ "419": "microsoft",
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+ "420": "mcdonald's",
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+ "421": "yellow",
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+ "422": "far right",
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+ "423": "all",
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+ "424": "grassy",
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+ "425": "70",
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+ "426": "water",
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+ "427": "fresh",
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+ "428": "in front",
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+ "429": "in middle",
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+ "430": "taking off",
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+ "431": "dusk",
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+ "432": "people",
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+ "433": "many",
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+ "434": "river",
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+ "435": "motorcycle",
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+ "436": "bored",
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+ "437": "blonde",
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+ "438": "computer",
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+ "439": "singles",
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+ "440": "fighting",
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+ "441": "smiling",
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+ "442": "riding",
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+ "443": "dell",
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+ "444": "18",
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+ "445": "landing",
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+ "446": "jet",
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+ "447": "flip",
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+ "448": "white and red",
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+ "449": "boy",
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+ "450": "visor",
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+ "451": "garage",
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+ "452": "canopy",
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+ "453": "he's not",
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+ "454": "mushrooms",
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+ "455": "right side",
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+ "456": "skis",
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+ "457": "working",
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+ "458": "wire",
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+ "459": "cooked",
471
+ "460": "cotton",
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+ "461": "playing frisbee",
473
+ "462": "on table",
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+ "463": "racquet",
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+ "464": "carrot",
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+ "465": "65",
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+ "466": "computers",
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