1027 vit with asymmetric loss
Browse files- config.json +234 -0
- pytorch_model.bin +3 -0
- word2idx.json +105 -0
config.json
ADDED
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{
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"_name_or_path": "D:/Projects/PythonProjects/multi-lable-vit/model_files/google/vit-base-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0",
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"LABEL_99": 99
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},
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"patch_size": 16,
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"problem_type": "multi_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.25.1"
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}
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pytorch_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:64083922966ab3c7f1db26e2c76cca60927d0545c7d9340859b0282e4a0488df
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size 343579373
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word2idx.json
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@@ -0,0 +1,105 @@
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{
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"French beans": 0,
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"almond": 1,
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"apple": 2,
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"apricot": 3,
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"asparagus": 4,
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"avocado": 5,
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"bamboo shoots": 6,
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"banana": 7,
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"bean sprouts": 8,
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"biscuit": 9,
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"blueberry": 10,
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"bread": 11,
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"broccoli": 12,
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"cabbage": 13,
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"cake": 14,
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"candy": 15,
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"carrot": 16,
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"cashew": 17,
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"cauliflower": 18,
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"celery stick": 19,
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"cheese butter": 20,
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"cherry": 21,
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"chicken duck": 22,
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"chocolate": 23,
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"cilantro mint": 24,
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"coffee": 25,
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"corn": 26,
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"crab": 27,
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"cucumber": 28,
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"date": 29,
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"dried cranberries": 30,
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"egg": 31,
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"egg tart": 32,
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"eggplant": 33,
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"enoki mushroom": 34,
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"fig": 35,
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"fish": 36,
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"french fries": 37,
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"fried meat": 38,
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"garlic": 39,
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"ginger": 40,
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"grape": 41,
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"ice cream": 45,
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"juice": 46,
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"kelp": 47,
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"lamb": 50,
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"lemon": 51,
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"lettuce": 52,
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"mango": 53,
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"melon": 54,
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"milk": 55,
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"milkshake": 56,
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"noodles": 57,
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60 |
+
"okra": 58,
|
61 |
+
"olives": 59,
|
62 |
+
"onion": 60,
|
63 |
+
"orange": 61,
|
64 |
+
"other ingredients": 62,
|
65 |
+
"oyster mushroom": 63,
|
66 |
+
"pasta": 64,
|
67 |
+
"peach": 65,
|
68 |
+
"peanut": 66,
|
69 |
+
"pear": 67,
|
70 |
+
"pepper": 68,
|
71 |
+
"pie": 69,
|
72 |
+
"pineapple": 70,
|
73 |
+
"pizza": 71,
|
74 |
+
"popcorn": 72,
|
75 |
+
"pork": 73,
|
76 |
+
"potato": 74,
|
77 |
+
"pudding": 75,
|
78 |
+
"pumpkin": 76,
|
79 |
+
"rape": 77,
|
80 |
+
"raspberry": 78,
|
81 |
+
"red beans": 79,
|
82 |
+
"rice": 80,
|
83 |
+
"salad": 81,
|
84 |
+
"sauce": 82,
|
85 |
+
"sausage": 83,
|
86 |
+
"seaweed": 84,
|
87 |
+
"shellfish": 85,
|
88 |
+
"shiitake": 86,
|
89 |
+
"shrimp": 87,
|
90 |
+
"snow peas": 88,
|
91 |
+
"soup": 89,
|
92 |
+
"soy": 90,
|
93 |
+
"spring onion": 91,
|
94 |
+
"steak": 92,
|
95 |
+
"strawberry": 93,
|
96 |
+
"tea": 94,
|
97 |
+
"tofu": 95,
|
98 |
+
"tomato": 96,
|
99 |
+
"walnut": 97,
|
100 |
+
"watermelon": 98,
|
101 |
+
"white button mushroom": 99,
|
102 |
+
"white radish": 100,
|
103 |
+
"wine": 101,
|
104 |
+
"wonton dumplings": 102
|
105 |
+
}
|