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End of training

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  1. README.md +58 -2
  2. config.json +228 -0
  3. preprocessor_config.json +22 -0
  4. tf_model.h5 +3 -0
README.md CHANGED
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  ---
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- pipeline_tag: image-classification
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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: EngTig/food_classifier
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+ results: []
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+ ---
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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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+
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+ # EngTig/food_classifier
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+
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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: 0.3841
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+ - Validation Loss: 0.2931
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+ - Train Accuracy: 0.938
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+ - Epoch: 4
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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': 20000, '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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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Train Accuracy | Epoch |
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+ |:----------:|:---------------:|:--------------:|:-----:|
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+ | 2.7672 | 1.6351 | 0.817 | 0 |
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+ | 1.2042 | 0.8144 | 0.896 | 1 |
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+ | 0.7118 | 0.5195 | 0.909 | 2 |
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+ | 0.4993 | 0.3816 | 0.927 | 3 |
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+ | 0.3841 | 0.2931 | 0.938 | 4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - TensorFlow 2.15.0
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json ADDED
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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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+ "greek_salad": "48",
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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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+ "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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+ "hummus": "57",
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+ "ice_cream": "58",
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+ "lasagna": "59",
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+ "lobster_bisque": "60",
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+ "lobster_roll_sandwich": "61",
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+ "macaroni_and_cheese": "62",
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+ "macarons": "63",
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+ "miso_soup": "64",
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+ "mussels": "65",
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+ "nachos": "66",
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+ "omelette": "67",
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+ "onion_rings": "68",
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+ "oysters": "69",
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+ "pad_thai": "70",
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+ "paella": "71",
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+ "pancakes": "72",
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+ "panna_cotta": "73",
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+ "peking_duck": "74",
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+ "pho": "75",
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+ "pizza": "76",
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+ "pork_chop": "77",
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+ "poutine": "78",
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+ "prime_rib": "79",
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+ "pulled_pork_sandwich": "80",
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+ "ramen": "81",
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+ "ravioli": "82",
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+ "red_velvet_cake": "83",
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+ "risotto": "84",
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+ "samosa": "85",
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+ "sashimi": "86",
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+ "scallops": "87",
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+ "seaweed_salad": "88",
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+ "shrimp_and_grits": "89",
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+ "spaghetti_bolognese": "90",
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+ "spaghetti_carbonara": "91",
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+ "spring_rolls": "92",
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+ "steak": "93",
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+ "strawberry_shortcake": "94",
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+ "sushi": "95",
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+ "tacos": "96",
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+ "takoyaki": "97",
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+ "tiramisu": "98",
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+ "tuna_tartare": "99",
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+ "waffles": "100"
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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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+ "qkv_bias": true,
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+ "transformers_version": "4.38.2"
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+ }
preprocessor_config.json ADDED
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+ {
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+ "do_normalize": true,
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+ "image_mean": [
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+ 0.5,
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+ ],
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+ "image_processor_type": "ViTImageProcessor",
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+ "image_std": [
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+ ],
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+ "resample": 2,
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+ "rescale_factor": 0.00392156862745098,
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+ "size": {
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+ "height": 224,
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+ "width": 224
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+ }
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+ }
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