Training in progress, step 200

added_tokens.json

@@ -0,0 +1,7 @@
+{
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+  "[PAD]": 0,
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+  "[UNK]": 100
+}

config.json

@@ -0,0 +1,431 @@
+{
+  "_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": "doughnut",
+    "1": "style",
+    "2": "8:35",
+    "3": "rack",
+    "4": "bricks",
+    "5": "red and blue",
+    "6": "unknown",
+    "7": "green",
+    "8": "big ben",
+    "9": "snow",
+    "10": "shade",
+    "11": "picnic table",
+    "12": "not sure",
+    "13": "dog",
+    "14": "street",
+    "15": "cat",
+    "16": "fashion",
+    "17": "shadows",
+    "18": "brown",
+    "19": "suv",
+    "20": "beagle",
+    "21": "crown",
+    "22": "10",
+    "23": "full",
+    "24": "woods",
+    "25": "0",
+    "26": "snowboarding",
+    "27": "hat",
+    "28": "nothing",
+    "29": "cup",
+    "30": "train",
+    "31": "window",
+    "32": "6",
+    "33": "out",
+    "34": "blue and white",
+    "35": "snowboard",
+    "36": "plastic",
+    "37": "down",
+    "38": "shelter",
+    "39": "curtain",
+    "40": "beige",
+    "41": "monitor",
+    "42": "tan",
+    "43": "gray and black",
+    "44": "in car",
+    "45": "skateboard",
+    "46": "cage",
+    "47": "name tag",
+    "48": "fence",
+    "49": "8",
+    "50": "orange",
+    "51": "security",
+    "52": "birthday",
+    "53": "camera",
+    "54": "7",
+    "55": "women",
+    "56": "shadow",
+    "57": "sun",
+    "58": "person",
+    "59": "exit",
+    "60": "9:35",
+    "61": "clear",
+    "62": "white and black",
+    "63": "little girl",
+    "64": "double",
+    "65": "queen",
+    "66": "blonde",
+    "67": "snowboarder",
+    "68": "neon",
+    "69": "smile",
+    "70": "canopy",
+    "71": "7:35",
+    "72": "church",
+    "73": "sidewalk",
+    "74": "man",
+    "75": "blue",
+    "76": "jeep",
+    "77": "clock",
+    "78": "zoo",
+    "79": "skiing",
+    "80": "hair",
+    "81": "ice cream",
+    "82": "white and blue",
+    "83": "king",
+    "84": "giraffes",
+    "85": "soccer",
+    "86": "walking",
+    "87": "2",
+    "88": "red",
+    "89": "bikes",
+    "90": "not there",
+    "91": "2010",
+    "92": "bicycles",
+    "93": "no",
+    "94": "tower",
+    "95": "solid",
+    "96": "on road",
+    "97": "white",
+    "98": "tabby",
+    "99": "5",
+    "100": "boy",
+    "101": "black and white",
+    "102": "red and yellow",
+    "103": "yes",
+    "104": "stand",
+    "105": "roof",
+    "106": "french",
+    "107": "4",
+    "108": "clock tower",
+    "109": "bicycle",
+    "110": "bus",
+    "111": "tent",
+    "112": "happy",
+    "113": "soccer ball",
+    "114": "natural",
+    "115": "tv",
+    "116": "calico",
+    "117": "wine tasting",
+    "118": "lg",
+    "119": "3",
+    "120": "giraffe",
+    "121": "protection",
+    "122": "outside",
+    "123": "don't know",
+    "124": "africa",
+    "125": "cross",
+    "126": "lanyard",
+    "127": "on street",
+    "128": "air",
+    "129": "wine",
+    "130": "backpack",
+    "131": "desert",
+    "132": "right",
+    "133": "large",
+    "134": "car",
+    "135": "screen",
+    "136": "laying down",
+    "137": "many",
+    "138": "door",
+    "139": "platform",
+    "140": "windows",
+    "141": "they aren't",
+    "142": "1",
+    "143": "purple",
+    "144": "gray",
+    "145": "arrow",
+    "146": "low",
+    "147": "7:45",
+    "148": "chair",
+    "149": "woman",
+    "150": "table",
+    "151": "can't tell",
+    "152": "brick",
+    "153": "plate",
+    "154": "black",
+    "155": "net",
+    "156": "watching",
+    "157": "shrimp",
+    "158": "crossing",
+    "159": "sleeping",
+    "160": "necklace",
+    "161": "talking",
+    "162": "station",
+    "163": "2013",
+    "164": "trees",
+    "165": "lying down",
+    "166": "lady",
+    "167": "sky",
+    "168": "photographer",
+    "169": "donut",
+    "170": "wall",
+    "171": "curtains",
+    "172": "leather",
+    "173": "ball",
+    "174": "bedroom",
+    "175": "at table",
+    "176": "hawaii",
+    "177": "girl",
+    "178": "cloudy",
+    "179": "smiling",
+    "180": "pink",
+    "181": "skateboarding",
+    "182": "2000",
+    "183": "skier",
+    "184": "resting",
+    "185": "park",
+    "186": "talking on phone",
+    "187": "ground",
+    "188": "human",
+    "189": "tired",
+    "190": "yellow",
+    "191": "forest",
+    "192": "small",
+    "193": "bike rack",
+    "194": "wedding",
+    "195": "dirt",
+    "196": "stripes",
+    "197": "plain",
+    "198": "chopsticks"
+  },
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+  "torch_dtype": "float32",
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+}

preprocessor_config.json

@@ -0,0 +1,25 @@
+{
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+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViltFeatureExtractor",
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+  "size": {
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+}

pytorch_model.bin

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special_tokens_map.json

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+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
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training_args.bin

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