Training in progress, step 200

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": "small",
+    "1": "they aren't",
+    "2": "out",
+    "3": "wine",
+    "4": "red",
+    "5": "clock",
+    "6": "black",
+    "7": "gray and black",
+    "8": "train",
+    "9": "curtain",
+    "10": "cage",
+    "11": "man",
+    "12": "snowboarding",
+    "13": "security",
+    "14": "women",
+    "15": "wall",
+    "16": "7:45",
+    "17": "forest",
+    "18": "brick",
+    "19": "8",
+    "20": "plain",
+    "21": "platform",
+    "22": "2010",
+    "23": "bedroom",
+    "24": "zoo",
+    "25": "necklace",
+    "26": "skateboard",
+    "27": "tv",
+    "28": "watching",
+    "29": "doughnut",
+    "30": "door",
+    "31": "cloudy",
+    "32": "1",
+    "33": "green",
+    "34": "calico",
+    "35": "full",
+    "36": "not sure",
+    "37": "exit",
+    "38": "at table",
+    "39": "on road",
+    "40": "solid",
+    "41": "red and yellow",
+    "42": "bus",
+    "43": "fashion",
+    "44": "person",
+    "45": "white and blue",
+    "46": "street",
+    "47": "crossing",
+    "48": "9:35",
+    "49": "5",
+    "50": "name tag",
+    "51": "6",
+    "52": "bikes",
+    "53": "cat",
+    "54": "wine tasting",
+    "55": "monitor",
+    "56": "skiing",
+    "57": "shelter",
+    "58": "giraffe",
+    "59": "human",
+    "60": "sky",
+    "61": "skier",
+    "62": "blue and white",
+    "63": "white and black",
+    "64": "screen",
+    "65": "snow",
+    "66": "0",
+    "67": "roof",
+    "68": "outside",
+    "69": "can't tell",
+    "70": "king",
+    "71": "trees",
+    "72": "tower",
+    "73": "laying down",
+    "74": "soccer ball",
+    "75": "desert",
+    "76": "leather",
+    "77": "beige",
+    "78": "tabby",
+    "79": "cup",
+    "80": "2013",
+    "81": "suv",
+    "82": "chopsticks",
+    "83": "snowboard",
+    "84": "low",
+    "85": "photographer",
+    "86": "lady",
+    "87": "rack",
+    "88": "station",
+    "89": "bike rack",
+    "90": "yellow",
+    "91": "backpack",
+    "92": "red and blue",
+    "93": "purple",
+    "94": "girl",
+    "95": "protection",
+    "96": "bicycles",
+    "97": "plate",
+    "98": "2",
+    "99": "talking on phone",
+    "100": "donut",
+    "101": "unknown",
+    "102": "bricks",
+    "103": "net",
+    "104": "10",
+    "105": "4",
+    "106": "in car",
+    "107": "cross",
+    "108": "blue",
+    "109": "fence",
+    "110": "africa",
+    "111": "8:35",
+    "112": "wedding",
+    "113": "talking",
+    "114": "beagle",
+    "115": "shadow",
+    "116": "canopy",
+    "117": "shrimp",
+    "118": "on street",
+    "119": "no",
+    "120": "shade",
+    "121": "camera",
+    "122": "jeep",
+    "123": "picnic table",
+    "124": "tent",
+    "125": "church",
+    "126": "walking",
+    "127": "woman",
+    "128": "dirt",
+    "129": "dog",
+    "130": "brown",
+    "131": "smile",
+    "132": "pink",
+    "133": "right",
+    "134": "orange",
+    "135": "double",
+    "136": "sleeping",
+    "137": "ball",
+    "138": "happy",
+    "139": "sun",
+    "140": "sidewalk",
+    "141": "don't know",
+    "142": "white",
+    "143": "hawaii",
+    "144": "blonde",
+    "145": "many",
+    "146": "ground",
+    "147": "boy",
+    "148": "nothing",
+    "149": "style",
+    "150": "little girl",
+    "151": "arrow",
+    "152": "queen",
+    "153": "soccer",
+    "154": "birthday",
+    "155": "black and white",
+    "156": "park",
+    "157": "giraffes",
+    "158": "air",
+    "159": "skateboarding",
+    "160": "smiling",
+    "161": "down",
+    "162": "clock tower",
+    "163": "large",
+    "164": "not there",
+    "165": "table",
+    "166": "windows",
+    "167": "shadows",
+    "168": "lanyard",
+    "169": "tan",
+    "170": "gray",
+    "171": "yes",
+    "172": "lg",
+    "173": "lying down",
+    "174": "resting",
+    "175": "7",
+    "176": "hat",
+    "177": "ice cream",
+    "178": "stripes",
+    "179": "window",
+    "180": "chair",
+    "181": "3",
+    "182": "snowboarder",
+    "183": "clear",
+    "184": "neon",
+    "185": "crown",
+    "186": "woods",
+    "187": "7:35",
+    "188": "car",
+    "189": "natural",
+    "190": "french",
+    "191": "stand",
+    "192": "tired",
+    "193": "curtains",
+    "194": "hair",
+    "195": "plastic",
+    "196": "2000",
+    "197": "bicycle",
+    "198": "big ben"
+  },
+  "image_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "0": 66,
+    "1": 32,
+    "10": 104,
+    "2": 98,
+    "2000": 196,
+    "2010": 22,
+    "2013": 80,
+    "3": 181,
+    "4": 105,
+    "5": 49,
+    "6": 51,
+    "7": 175,
+    "7:35": 187,
+    "7:45": 16,
+    "8": 19,
+    "8:35": 111,
+    "9:35": 48,
+    "africa": 110,
+    "air": 158,
+    "arrow": 151,
+    "at table": 38,
+    "backpack": 91,
+    "ball": 137,
+    "beagle": 114,
+    "bedroom": 23,
+    "beige": 77,
+    "bicycle": 197,
+    "bicycles": 96,
+    "big ben": 198,
+    "bike rack": 89,
+    "bikes": 52,
+    "birthday": 154,
+    "black": 6,
+    "black and white": 155,
+    "blonde": 144,
+    "blue": 108,
+    "blue and white": 62,
+    "boy": 147,
+    "brick": 18,
+    "bricks": 102,
+    "brown": 130,
+    "bus": 42,
+    "cage": 10,
+    "calico": 34,
+    "camera": 121,
+    "can't tell": 69,
+    "canopy": 116,
+    "car": 188,
+    "cat": 53,
+    "chair": 180,
+    "chopsticks": 82,
+    "church": 125,
+    "clear": 183,
+    "clock": 5,
+    "clock tower": 162,
+    "cloudy": 31,
+    "cross": 107,
+    "crossing": 47,
+    "crown": 185,
+    "cup": 79,
+    "curtain": 9,
+    "curtains": 193,
+    "desert": 75,
+    "dirt": 128,
+    "dog": 129,
+    "don't know": 141,
+    "donut": 100,
+    "door": 30,
+    "double": 135,
+    "doughnut": 29,
+    "down": 161,
+    "exit": 37,
+    "fashion": 43,
+    "fence": 109,
+    "forest": 17,
+    "french": 190,
+    "full": 35,
+    "giraffe": 58,
+    "giraffes": 157,
+    "girl": 94,
+    "gray": 170,
+    "gray and black": 7,
+    "green": 33,
+    "ground": 146,
+    "hair": 194,
+    "happy": 138,
+    "hat": 176,
+    "hawaii": 143,
+    "human": 59,
+    "ice cream": 177,
+    "in car": 106,
+    "jeep": 122,
+    "king": 70,
+    "lady": 86,
+    "lanyard": 168,
+    "large": 163,
+    "laying down": 73,
+    "leather": 76,
+    "lg": 172,
+    "little girl": 150,
+    "low": 84,
+    "lying down": 173,
+    "man": 11,
+    "many": 145,
+    "monitor": 55,
+    "name tag": 50,
+    "natural": 189,
+    "necklace": 25,
+    "neon": 184,
+    "net": 103,
+    "no": 119,
+    "not sure": 36,
+    "not there": 164,
+    "nothing": 148,
+    "on road": 39,
+    "on street": 118,
+    "orange": 134,
+    "out": 2,
+    "outside": 68,
+    "park": 156,
+    "person": 44,
+    "photographer": 85,
+    "picnic table": 123,
+    "pink": 132,
+    "plain": 20,
+    "plastic": 195,
+    "plate": 97,
+    "platform": 21,
+    "protection": 95,
+    "purple": 93,
+    "queen": 152,
+    "rack": 87,
+    "red": 4,
+    "red and blue": 92,
+    "red and yellow": 41,
+    "resting": 174,
+    "right": 133,
+    "roof": 67,
+    "screen": 64,
+    "security": 13,
+    "shade": 120,
+    "shadow": 115,
+    "shadows": 167,
+    "shelter": 57,
+    "shrimp": 117,
+    "sidewalk": 140,
+    "skateboard": 26,
+    "skateboarding": 159,
+    "skier": 61,
+    "skiing": 56,
+    "sky": 60,
+    "sleeping": 136,
+    "small": 0,
+    "smile": 131,
+    "smiling": 160,
+    "snow": 65,
+    "snowboard": 83,
+    "snowboarder": 182,
+    "snowboarding": 12,
+    "soccer": 153,
+    "soccer ball": 74,
+    "solid": 40,
+    "stand": 191,
+    "station": 88,
+    "street": 46,
+    "stripes": 178,
+    "style": 149,
+    "sun": 139,
+    "suv": 81,
+    "tabby": 78,
+    "table": 165,
+    "talking": 113,
+    "talking on phone": 99,
+    "tan": 169,
+    "tent": 124,
+    "they aren't": 1,
+    "tired": 192,
+    "tower": 72,
+    "train": 8,
+    "trees": 71,
+    "tv": 27,
+    "unknown": 101,
+    "walking": 126,
+    "wall": 15,
+    "watching": 28,
+    "wedding": 112,
+    "white": 142,
+    "white and black": 63,
+    "white and blue": 45,
+    "window": 179,
+    "windows": 166,
+    "wine": 3,
+    "wine tasting": 54,
+    "woman": 127,
+    "women": 14,
+    "woods": 186,
+    "yellow": 90,
+    "yes": 171,
+    "zoo": 24
+  },
+  "layer_norm_eps": 1e-12,
+  "max_image_length": -1,
+  "max_position_embeddings": 40,
+  "modality_type_vocab_size": 2,
+  "model_type": "vilt",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "num_images": -1,
+  "patch_size": 32,
+  "qkv_bias": true,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2",
+  "type_vocab_size": 2,
+  "vocab_size": 30522
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7561f0f00064f385a81a3b6b460b3b79d992b75cbbe2850c8d1904949f5a9ac8
+size 452365324

preprocessor_config.json

@@ -0,0 +1,25 @@
+{
+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViltFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViltImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "processor_class": "ViltProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 384
+  },
+  "size_divisor": 32
+}

runs/Jan30_08-35-28_c768b4fd20bc/events.out.tfevents.1706603739.c768b4fd20bc.1772.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05db0b826b5f0d5b0976bb41ac9892f6c6c9de7e2f310a8bf20d14ebeff12352
+size 12687

special_tokens_map.json

@@ -0,0 +1,7 @@
+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,56 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 40,
+  "pad_token": "[PAD]",
+  "processor_class": "ViltProcessor",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:024b05f18106daeac11a9ce8612ff79dbfde0c3fb04a500fa2b8c2ace06407b4
+size 4600