End of training
Browse files- README.md +59 -0
- config.json +228 -0
- preprocessor_config.json +36 -0
- tf_model.h5 +3 -0
README.md
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---
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license: apache-2.0
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base_model: google/vit-base-patch16-224-in21k
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tags:
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- generated_from_keras_callback
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model-index:
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- name: ayushik/food_classifier
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# ayushik/food_classifier
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 4.3671
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- Validation Loss: 4.3288
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- Train Accuracy: 0.5
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- Epoch: 4
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 3e-05, 'decay_steps': 40, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
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- training_precision: float32
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### Training results
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 4.6904 | 4.5814 | 0.0 | 0 |
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| 4.5573 | 4.5104 | 0.0 | 1 |
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| 4.5277 | 4.4430 | 0.5 | 2 |
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| 4.4501 | 4.3839 | 0.5 | 3 |
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| 4.3671 | 4.3288 | 0.5 | 4 |
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### Framework versions
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- Transformers 4.40.0
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- TensorFlow 2.15.0
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "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": "apple_pie",
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"1": "baby_back_ribs",
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"10": "bruschetta",
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"100": "waffles",
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"11": "caesar_salad",
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"12": "cannoli",
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"13": "caprese_salad",
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"14": "carrot_cake",
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"15": "ceviche",
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"16": "cheesecake",
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"17": "cheese_plate",
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"18": "chicken_curry",
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"19": "chicken_quesadilla",
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"2": "baklava",
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"20": "chicken_wings",
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"21": "chocolate_cake",
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"22": "chocolate_mousse",
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"23": "churros",
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"24": "clam_chowder",
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"25": "club_sandwich",
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"26": "crab_cakes",
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"27": "creme_brulee",
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"28": "croque_madame",
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"29": "cup_cakes",
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"3": "beef_carpaccio",
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"30": "deviled_eggs",
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"31": "donuts",
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"32": "dumplings",
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"33": "edamame",
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"34": "eggs_benedict",
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"35": "escargots",
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"36": "falafel",
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"37": "filet_mignon",
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"38": "fish_and_chips",
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"39": "foie_gras",
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"4": "beef_tartare",
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"40": "french_fries",
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"41": "french_onion_soup",
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"42": "french_toast",
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"43": "fried_calamari",
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"44": "fried_rice",
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"45": "frozen_yogurt",
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"46": "garlic_bread",
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"47": "gnocchi",
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"48": "greek_salad",
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"49": "grilled_cheese_sandwich",
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"5": "beet_salad",
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"50": "grilled_salmon",
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"51": "guacamole",
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"52": "gyoza",
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"53": "hamburger",
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"54": "hot_and_sour_soup",
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"55": "hot_dog",
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"56": "huevos_rancheros",
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"57": "hummus",
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"58": "ice_cream",
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"59": "lasagna",
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"6": "beignets",
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"60": "lobster_bisque",
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"61": "lobster_roll_sandwich",
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"62": "macaroni_and_cheese",
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"63": "macarons",
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"64": "miso_soup",
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"65": "mussels",
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"66": "nachos",
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"67": "omelette",
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"68": "onion_rings",
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"69": "oysters",
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"7": "bibimbap",
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"70": "pad_thai",
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"71": "paella",
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"72": "pancakes",
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"73": "panna_cotta",
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"74": "peking_duck",
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"75": "pho",
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"76": "pizza",
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"77": "pork_chop",
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"78": "poutine",
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"79": "prime_rib",
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"8": "bread_pudding",
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"80": "pulled_pork_sandwich",
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"81": "ramen",
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"82": "ravioli",
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"83": "red_velvet_cake",
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"84": "risotto",
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"85": "samosa",
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"86": "sashimi",
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"87": "scallops",
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"88": "seaweed_salad",
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"89": "shrimp_and_grits",
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"9": "breakfast_burrito",
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"90": "spaghetti_bolognese",
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"91": "spaghetti_carbonara",
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"92": "spring_rolls",
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"93": "steak",
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"94": "strawberry_shortcake",
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"95": "sushi",
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"96": "tacos",
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"97": "takoyaki",
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"98": "tiramisu",
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"99": "tuna_tartare"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"apple_pie": "0",
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"baby_back_ribs": "1",
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"baklava": "2",
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"beef_carpaccio": "3",
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"beef_tartare": "4",
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"beet_salad": "5",
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"beignets": "6",
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"bibimbap": "7",
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"bread_pudding": "8",
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"breakfast_burrito": "9",
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"bruschetta": "10",
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"caesar_salad": "11",
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"cannoli": "12",
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"caprese_salad": "13",
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"carrot_cake": "14",
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"ceviche": "15",
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"cheese_plate": "17",
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"cheesecake": "16",
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"chicken_curry": "18",
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"chicken_quesadilla": "19",
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"chicken_wings": "20",
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"chocolate_cake": "21",
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"chocolate_mousse": "22",
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"churros": "23",
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"clam_chowder": "24",
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"club_sandwich": "25",
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"crab_cakes": "26",
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"creme_brulee": "27",
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"croque_madame": "28",
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"cup_cakes": "29",
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"deviled_eggs": "30",
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"donuts": "31",
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"dumplings": "32",
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"edamame": "33",
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"eggs_benedict": "34",
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"escargots": "35",
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"falafel": "36",
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"filet_mignon": "37",
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"fish_and_chips": "38",
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"foie_gras": "39",
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"french_fries": "40",
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"french_onion_soup": "41",
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"french_toast": "42",
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"fried_calamari": "43",
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"fried_rice": "44",
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"frozen_yogurt": "45",
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"garlic_bread": "46",
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"gnocchi": "47",
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166 |
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"greek_salad": "48",
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167 |
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"grilled_cheese_sandwich": "49",
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"grilled_salmon": "50",
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"guacamole": "51",
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170 |
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"gyoza": "52",
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"hamburger": "53",
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"hot_and_sour_soup": "54",
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"hot_dog": "55",
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"huevos_rancheros": "56",
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175 |
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"hummus": "57",
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176 |
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"ice_cream": "58",
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177 |
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"lasagna": "59",
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178 |
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"lobster_bisque": "60",
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179 |
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"lobster_roll_sandwich": "61",
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180 |
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"macaroni_and_cheese": "62",
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"macarons": "63",
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182 |
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"miso_soup": "64",
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"mussels": "65",
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184 |
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"nachos": "66",
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185 |
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"omelette": "67",
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186 |
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"onion_rings": "68",
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187 |
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"oysters": "69",
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188 |
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"pad_thai": "70",
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189 |
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"paella": "71",
|
190 |
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"pancakes": "72",
|
191 |
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"panna_cotta": "73",
|
192 |
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"peking_duck": "74",
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193 |
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"pho": "75",
|
194 |
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"pizza": "76",
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195 |
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"pork_chop": "77",
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196 |
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"poutine": "78",
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197 |
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"prime_rib": "79",
|
198 |
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"pulled_pork_sandwich": "80",
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199 |
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"ramen": "81",
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200 |
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"ravioli": "82",
|
201 |
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"red_velvet_cake": "83",
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202 |
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"risotto": "84",
|
203 |
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"samosa": "85",
|
204 |
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"sashimi": "86",
|
205 |
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"scallops": "87",
|
206 |
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"seaweed_salad": "88",
|
207 |
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"shrimp_and_grits": "89",
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208 |
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"spaghetti_bolognese": "90",
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209 |
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"spaghetti_carbonara": "91",
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210 |
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"spring_rolls": "92",
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211 |
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"steak": "93",
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212 |
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"strawberry_shortcake": "94",
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213 |
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"sushi": "95",
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214 |
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"tacos": "96",
|
215 |
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"takoyaki": "97",
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216 |
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"tiramisu": "98",
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217 |
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"tuna_tartare": "99",
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218 |
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"waffles": "100"
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},
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220 |
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"layer_norm_eps": 1e-12,
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"model_type": "vit",
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222 |
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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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225 |
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"patch_size": 16,
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226 |
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"qkv_bias": true,
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227 |
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"transformers_version": "4.40.0"
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}
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preprocessor_config.json
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{
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"_valid_processor_keys": [
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"images",
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4 |
+
"do_resize",
|
5 |
+
"size",
|
6 |
+
"resample",
|
7 |
+
"do_rescale",
|
8 |
+
"rescale_factor",
|
9 |
+
"do_normalize",
|
10 |
+
"image_mean",
|
11 |
+
"image_std",
|
12 |
+
"return_tensors",
|
13 |
+
"data_format",
|
14 |
+
"input_data_format"
|
15 |
+
],
|
16 |
+
"do_normalize": true,
|
17 |
+
"do_rescale": true,
|
18 |
+
"do_resize": true,
|
19 |
+
"image_mean": [
|
20 |
+
0.5,
|
21 |
+
0.5,
|
22 |
+
0.5
|
23 |
+
],
|
24 |
+
"image_processor_type": "ViTImageProcessor",
|
25 |
+
"image_std": [
|
26 |
+
0.5,
|
27 |
+
0.5,
|
28 |
+
0.5
|
29 |
+
],
|
30 |
+
"resample": 2,
|
31 |
+
"rescale_factor": 0.00392156862745098,
|
32 |
+
"size": {
|
33 |
+
"height": 224,
|
34 |
+
"width": 224
|
35 |
+
}
|
36 |
+
}
|
tf_model.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9898dd10a463894b4f170093e7117af92a560f76a2ea9aa58dd515ad342e473c
|
3 |
+
size 343773880
|