End of training

all_results.json

@@ -1,7 +1,7 @@
 {
-    "eval_accuracy": 0.007466666666666667,
-    "eval_loss": 4.617791652679443,
-    "eval_runtime": 597.5419,
-    "eval_samples_per_second": 12.551,
-    "eval_steps_per_second": 1.57
+    "eval_accuracy": 0.1072,
+    "eval_loss": 2.3025150299072266,
+    "eval_runtime": 616.9387,
+    "eval_samples_per_second": 12.157,
+    "eval_steps_per_second": 1.52
 }

config.json

@@ -10,211 +10,31 @@
   "hidden_dropout_prob": 0.0,
   "hidden_size": 768,
   "id2label": {
-    "0": "apple",
-    "1": "aquarium_fish",
-    "10": "bowl",
-    "11": "boy",
-    "12": "bridge",
-    "13": "bus",
-    "14": "butterfly",
-    "15": "camel",
-    "16": "can",
-    "17": "castle",
-    "18": "caterpillar",
-    "19": "cattle",
-    "2": "baby",
-    "20": "chair",
-    "21": "chimpanzee",
-    "22": "clock",
-    "23": "cloud",
-    "24": "cockroach",
-    "25": "couch",
-    "26": "cra",
-    "27": "crocodile",
-    "28": "cup",
-    "29": "dinosaur",
-    "3": "bear",
-    "30": "dolphin",
-    "31": "elephant",
-    "32": "flatfish",
-    "33": "forest",
-    "34": "fox",
-    "35": "girl",
-    "36": "hamster",
-    "37": "house",
-    "38": "kangaroo",
-    "39": "keyboard",
-    "4": "beaver",
-    "40": "lamp",
-    "41": "lawn_mower",
-    "42": "leopard",
-    "43": "lion",
-    "44": "lizard",
-    "45": "lobster",
-    "46": "man",
-    "47": "maple_tree",
-    "48": "motorcycle",
-    "49": "mountain",
-    "5": "bed",
-    "50": "mouse",
-    "51": "mushroom",
-    "52": "oak_tree",
-    "53": "orange",
-    "54": "orchid",
-    "55": "otter",
-    "56": "palm_tree",
-    "57": "pear",
-    "58": "pickup_truck",
-    "59": "pine_tree",
-    "6": "bee",
-    "60": "plain",
-    "61": "plate",
-    "62": "poppy",
-    "63": "porcupine",
-    "64": "possum",
-    "65": "rabbit",
-    "66": "raccoon",
-    "67": "ray",
-    "68": "road",
-    "69": "rocket",
-    "7": "beetle",
-    "70": "rose",
-    "71": "sea",
-    "72": "seal",
-    "73": "shark",
-    "74": "shrew",
-    "75": "skunk",
-    "76": "skyscraper",
-    "77": "snail",
-    "78": "snake",
-    "79": "spider",
-    "8": "bicycle",
-    "80": "squirrel",
-    "81": "streetcar",
-    "82": "sunflower",
-    "83": "sweet_pepper",
-    "84": "table",
-    "85": "tank",
-    "86": "telephone",
-    "87": "television",
-    "88": "tiger",
-    "89": "tractor",
-    "9": "bottle",
-    "90": "train",
-    "91": "trout",
-    "92": "tulip",
-    "93": "turtle",
-    "94": "wardrobe",
-    "95": "whale",
-    "96": "willow_tree",
-    "97": "wolf",
-    "98": "woman",
-    "99": "worm"
+    "0": "airplane",
+    "1": "automobile",
+    "2": "bird",
+    "3": "cat",
+    "4": "deer",
+    "5": "dog",
+    "6": "frog",
+    "7": "horse",
+    "8": "ship",
+    "9": "truck"
   },
   "image_size": 224,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
   "label2id": {
-    "apple": "0",
-    "aquarium_fish": "1",
-    "baby": "2",
-    "bear": "3",
-    "beaver": "4",
-    "bed": "5",
-    "bee": "6",
-    "beetle": "7",
-    "bicycle": "8",
-    "bottle": "9",
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-    "bus": "13",
-    "butterfly": "14",
-    "camel": "15",
-    "can": "16",
-    "castle": "17",
-    "caterpillar": "18",
-    "cattle": "19",
-    "chair": "20",
-    "chimpanzee": "21",
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-    "cloud": "23",
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-    "dinosaur": "29",
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-    "elephant": "31",
-    "flatfish": "32",
-    "forest": "33",
-    "fox": "34",
-    "girl": "35",
-    "hamster": "36",
-    "house": "37",
-    "kangaroo": "38",
-    "keyboard": "39",
-    "lamp": "40",
-    "lawn_mower": "41",
-    "leopard": "42",
-    "lion": "43",
-    "lizard": "44",
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-    "maple_tree": "47",
-    "motorcycle": "48",
-    "mountain": "49",
-    "mouse": "50",
-    "mushroom": "51",
-    "oak_tree": "52",
-    "orange": "53",
-    "orchid": "54",
-    "otter": "55",
-    "palm_tree": "56",
-    "pear": "57",
-    "pickup_truck": "58",
-    "pine_tree": "59",
-    "plain": "60",
-    "plate": "61",
-    "poppy": "62",
-    "porcupine": "63",
-    "possum": "64",
-    "rabbit": "65",
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-    "ray": "67",
-    "road": "68",
-    "rocket": "69",
-    "rose": "70",
-    "sea": "71",
-    "seal": "72",
-    "shark": "73",
-    "shrew": "74",
-    "skunk": "75",
-    "skyscraper": "76",
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-    "sunflower": "82",
-    "sweet_pepper": "83",
-    "table": "84",
-    "tank": "85",
-    "telephone": "86",
-    "television": "87",
-    "tiger": "88",
-    "tractor": "89",
-    "train": "90",
-    "trout": "91",
-    "tulip": "92",
-    "turtle": "93",
-    "wardrobe": "94",
-    "whale": "95",
-    "willow_tree": "96",
-    "wolf": "97",
-    "woman": "98",
-    "worm": "99"
+    "airplane": "0",
+    "automobile": "1",
+    "bird": "2",
+    "cat": "3",
+    "deer": "4",
+    "dog": "5",
+    "frog": "6",
+    "horse": "7",
+    "ship": "8",
+    "truck": "9"
   },
   "layer_norm_eps": 1e-12,
   "model_type": "vit",

eval_results.json

@@ -1,7 +1,7 @@
 {
-    "eval_accuracy": 0.007466666666666667,
-    "eval_loss": 4.617791652679443,
-    "eval_runtime": 597.5419,
-    "eval_samples_per_second": 12.551,
-    "eval_steps_per_second": 1.57
+    "eval_accuracy": 0.1072,
+    "eval_loss": 2.3025150299072266,
+    "eval_runtime": 616.9387,
+    "eval_samples_per_second": 12.157,
+    "eval_steps_per_second": 1.52
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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+size 343288753

training_args.bin

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 size 3119