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LSDddd/my_awesome_food_model

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  1. README.md +66 -0
  2. config.json +231 -0
  3. model.safetensors +3 -0
  4. preprocessor_config.json +23 -0
  5. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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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_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: my_awesome_food_model
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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 the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # my_awesome_food_model
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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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+ - Loss: 1.5784
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+ - Accuracy: 0.894
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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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+ - learning_rate: 5e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 64
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 2.6945 | 1.0 | 63 | 2.4760 | 0.854 |
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+ | 1.7873 | 2.0 | 126 | 1.7467 | 0.891 |
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+ | 1.512 | 3.0 | 189 | 1.5784 | 0.894 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.55.2
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+ - Pytorch 2.8.0+cu126
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
config.json ADDED
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+ {
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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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+ "2": "baklava",
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+ "3": "beef_carpaccio",
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+ "4": "beef_tartare",
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+ "5": "beet_salad",
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+ "6": "beignets",
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+ "7": "bibimbap",
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+ "8": "bread_pudding",
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+ "9": "breakfast_burrito",
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+ "10": "bruschetta",
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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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+ "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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+ "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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+ "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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+ "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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+ "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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+ "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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+ "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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+ "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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+ "100": "waffles"
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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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+ "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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+ "gyoza": 52,
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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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+ "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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+ "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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+ "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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+ "pooler_act": "tanh",
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+ "pooler_output_size": 768,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.55.2"
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+ }
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