Training in progress, step 200

config.json

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+{
+  "_name_or_path": "dandelin/vilt-b32-mlm",
+  "architectures": [
+    "ViltForQuestionAnswering"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "8",
+    "1": "purple",
+    "2": "air",
+    "3": "bedroom",
+    "4": "yellow",
+    "5": "forest",
+    "6": "person",
+    "7": "big ben",
+    "8": "ball",
+    "9": "doughnut",
+    "10": "fence",
+    "11": "5",
+    "12": "3",
+    "13": "1",
+    "14": "snowboarder",
+    "15": "down",
+    "16": "stand",
+    "17": "soccer ball",
+    "18": "exit",
+    "19": "not sure",
+    "20": "curtains",
+    "21": "2013",
+    "22": "security",
+    "23": "chopsticks",
+    "24": "resting",
+    "25": "hawaii",
+    "26": "lying down",
+    "27": "6",
+    "28": "monitor",
+    "29": "tower",
+    "30": "unknown",
+    "31": "bikes",
+    "32": "walking",
+    "33": "beagle",
+    "34": "windows",
+    "35": "calico",
+    "36": "don't know",
+    "37": "large",
+    "38": "shadow",
+    "39": "style",
+    "40": "tabby",
+    "41": "station",
+    "42": "blue",
+    "43": "plate",
+    "44": "7",
+    "45": "small",
+    "46": "4",
+    "47": "wine tasting",
+    "48": "cloudy",
+    "49": "door",
+    "50": "dirt",
+    "51": "bus",
+    "52": "9:35",
+    "53": "car",
+    "54": "cross",
+    "55": "smile",
+    "56": "woman",
+    "57": "happy",
+    "58": "snowboard",
+    "59": "skateboard",
+    "60": "7:45",
+    "61": "wine",
+    "62": "chair",
+    "63": "tv",
+    "64": "solid",
+    "65": "bicycle",
+    "66": "soccer",
+    "67": "beige",
+    "68": "screen",
+    "69": "giraffes",
+    "70": "tired",
+    "71": "natural",
+    "72": "many",
+    "73": "7:35",
+    "74": "canopy",
+    "75": "cage",
+    "76": "clock",
+    "77": "curtain",
+    "78": "lanyard",
+    "79": "church",
+    "80": "shade",
+    "81": "orange",
+    "82": "talking",
+    "83": "wall",
+    "84": "green",
+    "85": "white",
+    "86": "arrow",
+    "87": "trees",
+    "88": "can't tell",
+    "89": "low",
+    "90": "table",
+    "91": "tent",
+    "92": "plain",
+    "93": "boy",
+    "94": "giraffe",
+    "95": "women",
+    "96": "gray and black",
+    "97": "girl",
+    "98": "smiling",
+    "99": "black and white",
+    "100": "sky",
+    "101": "leather",
+    "102": "bricks",
+    "103": "black",
+    "104": "on street",
+    "105": "woods",
+    "106": "2",
+    "107": "park",
+    "108": "they aren't",
+    "109": "out",
+    "110": "roof",
+    "111": "train",
+    "112": "talking on phone",
+    "113": "ice cream",
+    "114": "platform",
+    "115": "zoo",
+    "116": "white and black",
+    "117": "not there",
+    "118": "at table",
+    "119": "street",
+    "120": "pink",
+    "121": "sleeping",
+    "122": "desert",
+    "123": "wedding",
+    "124": "man",
+    "125": "shrimp",
+    "126": "2000",
+    "127": "nothing",
+    "128": "8:35",
+    "129": "brown",
+    "130": "hair",
+    "131": "plastic",
+    "132": "french",
+    "133": "neon",
+    "134": "tan",
+    "135": "rack",
+    "136": "blue and white",
+    "137": "shelter",
+    "138": "right",
+    "139": "sun",
+    "140": "queen",
+    "141": "yes",
+    "142": "king",
+    "143": "no",
+    "144": "window",
+    "145": "gray",
+    "146": "full",
+    "147": "lg",
+    "148": "red and yellow",
+    "149": "cat",
+    "150": "2010",
+    "151": "cup",
+    "152": "name tag",
+    "153": "necklace",
+    "154": "skiing",
+    "155": "blonde",
+    "156": "white and blue",
+    "157": "outside",
+    "158": "photographer",
+    "159": "human",
+    "160": "stripes",
+    "161": "africa",
+    "162": "little girl",
+    "163": "snowboarding",
+    "164": "shadows",
+    "165": "watching",
+    "166": "red",
+    "167": "ground",
+    "168": "jeep",
+    "169": "fashion",
+    "170": "camera",
+    "171": "in car",
+    "172": "hat",
+    "173": "backpack",
+    "174": "protection",
+    "175": "0",
+    "176": "crossing",
+    "177": "donut",
+    "178": "picnic table",
+    "179": "double",
+    "180": "10",
+    "181": "red and blue",
+    "182": "skier",
+    "183": "crown",
+    "184": "lady",
+    "185": "clear",
+    "186": "sidewalk",
+    "187": "net",
+    "188": "brick",
+    "189": "birthday",
+    "190": "clock tower",
+    "191": "on road",
+    "192": "bike rack",
+    "193": "skateboarding",
+    "194": "suv",
+    "195": "dog",
+    "196": "bicycles",
+    "197": "snow",
+    "198": "laying down"
+  },
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+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
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+  "max_position_embeddings": 40,
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+  "num_channels": 3,
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+  "torch_dtype": "float32",
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model.safetensors

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preprocessor_config.json

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+  "do_resize": true,
+  "image_mean": [
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+  "image_processor_type": "ViltImageProcessor",
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+}

special_tokens_map.json

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+{
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+}

tokenizer_config.json

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+{
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+  "processor_class": "ViltProcessor",
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+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
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+}

training_args.bin

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