End of training

README.md

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+---
+license: other
+base_model: google/mobilenet_v2_1.0_224
+tags:
+- pytoroch
+- MobileNetV2ForImageClassification
+- food-classification
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- precision
+- f1
+model-index:
+- name: MobileNet-V2-food
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# MobileNet-V2-food
+
+This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on the ItsNotRohit/Food121-224 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6890
+- Accuracy: 0.5793
+- Recall: 0.5793
+- Precision: 0.6006
+- F1: 0.5769
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 128
+- seed: 20329
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 20000
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | Precision | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 2.9653        | 0.33  | 2000  | 2.7802          | 0.3438   | 0.3438 | 0.3932    | 0.3105 |
+| 2.3854        | 0.66  | 4000  | 2.3105          | 0.4440   | 0.4440 | 0.4979    | 0.4336 |
+| 2.1576        | 0.99  | 6000  | 2.0508          | 0.4958   | 0.4958 | 0.5263    | 0.4837 |
+| 1.9767        | 1.32  | 8000  | 1.9860          | 0.5086   | 0.5086 | 0.5504    | 0.4956 |
+| 1.9215        | 1.65  | 10000 | 1.8312          | 0.5462   | 0.5462 | 0.5815    | 0.5390 |
+| 1.782         | 1.98  | 12000 | 1.8554          | 0.5441   | 0.5441 | 0.5864    | 0.5431 |
+| 1.7755        | 2.31  | 14000 | 1.9241          | 0.5308   | 0.5308 | 0.5841    | 0.5272 |
+| 1.7006        | 2.64  | 16000 | 1.8625          | 0.5451   | 0.5451 | 0.6004    | 0.5466 |
+| 1.7289        | 2.98  | 18000 | 1.8560          | 0.5432   | 0.5432 | 0.5940    | 0.5395 |
+| 1.7296        | 3.31  | 20000 | 1.6890          | 0.5793   | 0.5793 | 0.6006    | 0.5769 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

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+{
+  "_name_or_path": "google/mobilenet_v2_1.0_224",
+  "architectures": [
+    "MobileNetV2ForImageClassification"
+  ],
+  "classifier_dropout_prob": 0.2,
+  "depth_divisible_by": 8,
+  "depth_multiplier": 1.0,
+  "expand_ratio": 6,
+  "finegrained_output": true,
+  "first_layer_is_expansion": true,
+  "hidden_act": "relu6",
+  "id2label": {
+    "0": "apple_pie",
+    "1": "baby_back_ribs",
+    "2": "baklava",
+    "3": "beef_carpaccio",
+    "4": "beef_tartare",
+    "5": "beet_salad",
+    "6": "beignets",
+    "7": "bibimbap",
+    "8": "biryani",
+    "9": "bread_pudding",
+    "10": "breakfast_burrito",
+    "11": "bruschetta",
+    "12": "caesar_salad",
+    "13": "cannoli",
+    "14": "caprese_salad",
+    "15": "carrot_cake",
+    "16": "ceviche",
+    "17": "chai",
+    "18": "chapati",
+    "19": "cheese_plate",
+    "20": "cheesecake",
+    "21": "chicken_curry",
+    "22": "chicken_quesadilla",
+    "23": "chicken_wings",
+    "24": "chocolate_cake",
+    "25": "chocolate_mousse",
+    "26": "chole_bhature",
+    "27": "churros",
+    "28": "clam_chowder",
+    "29": "club_sandwich",
+    "30": "crab_cakes",
+    "31": "creme_brulee",
+    "32": "croque_madame",
+    "33": "cup_cakes",
+    "34": "dabeli",
+    "35": "dal",
+    "36": "deviled_eggs",
+    "37": "dhokla",
+    "38": "donuts",
+    "39": "dosa",
+    "40": "dumplings",
+    "41": "edamame",
+    "42": "eggs_benedict",
+    "43": "escargots",
+    "44": "falafel",
+    "45": "filet_mignon",
+    "46": "fish_and_chips",
+    "47": "foie_gras",
+    "48": "french_fries",
+    "49": "french_onion_soup",
+    "50": "french_toast",
+    "51": "fried_calamari",
+    "52": "fried_rice",
+    "53": "frozen_yogurt",
+    "54": "garlic_bread",
+    "55": "gnocchi",
+    "56": "greek_salad",
+    "57": "grilled_cheese_sandwich",
+    "58": "grilled_salmon",
+    "59": "guacamole",
+    "60": "gyoza",
+    "61": "hamburger",
+    "62": "hot_and_sour_soup",
+    "63": "hot_dog",
+    "64": "huevos_rancheros",
+    "65": "hummus",
+    "66": "ice_cream",
+    "67": "idli",
+    "68": "jalebi",
+    "69": "kathi_rolls",
+    "70": "kofta",
+    "71": "kulfi",
+    "72": "lasagna",
+    "73": "lobster_bisque",
+    "74": "lobster_roll_sandwich",
+    "75": "macaroni_and_cheese",
+    "76": "macarons",
+    "77": "miso_soup",
+    "78": "momos",
+    "79": "mussels",
+    "80": "naan",
+    "81": "nachos",
+    "82": "omelette",
+    "83": "onion_rings",
+    "84": "oysters",
+    "85": "pad_thai",
+    "86": "paella",
+    "87": "pakoda",
+    "88": "pancakes",
+    "89": "pani_puri",
+    "90": "panna_cotta",
+    "91": "panner_butter_masala",
+    "92": "pav_bhaji",
+    "93": "peking_duck",
+    "94": "pho",
+    "95": "pizza",
+    "96": "pork_chop",
+    "97": "poutine",
+    "98": "prime_rib",
+    "99": "pulled_pork_sandwich",
+    "100": "ramen",
+    "101": "ravioli",
+    "102": "red_velvet_cake",
+    "103": "risotto",
+    "104": "samosa",
+    "105": "sashimi",
+    "106": "scallops",
+    "107": "seaweed_salad",
+    "108": "shrimp_and_grits",
+    "109": "spaghetti_bolognese",
+    "110": "spaghetti_carbonara",
+    "111": "spring_rolls",
+    "112": "steak",
+    "113": "strawberry_shortcake",
+    "114": "sushi",
+    "115": "tacos",
+    "116": "takoyaki",
+    "117": "tiramisu",
+    "118": "tuna_tartare",
+    "119": "vadapav",
+    "120": "waffles"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "apple_pie": 0,
+    "baby_back_ribs": 1,
+    "baklava": 2,
+    "beef_carpaccio": 3,
+    "beef_tartare": 4,
+    "beet_salad": 5,
+    "beignets": 6,
+    "bibimbap": 7,
+    "biryani": 8,
+    "bread_pudding": 9,
+    "breakfast_burrito": 10,
+    "bruschetta": 11,
+    "caesar_salad": 12,
+    "cannoli": 13,
+    "caprese_salad": 14,
+    "carrot_cake": 15,
+    "ceviche": 16,
+    "chai": 17,
+    "chapati": 18,
+    "cheese_plate": 19,
+    "cheesecake": 20,
+    "chicken_curry": 21,
+    "chicken_quesadilla": 22,
+    "chicken_wings": 23,
+    "chocolate_cake": 24,
+    "chocolate_mousse": 25,
+    "chole_bhature": 26,
+    "churros": 27,
+    "clam_chowder": 28,
+    "club_sandwich": 29,
+    "crab_cakes": 30,
+    "creme_brulee": 31,
+    "croque_madame": 32,
+    "cup_cakes": 33,
+    "dabeli": 34,
+    "dal": 35,
+    "deviled_eggs": 36,
+    "dhokla": 37,
+    "donuts": 38,
+    "dosa": 39,
+    "dumplings": 40,
+    "edamame": 41,
+    "eggs_benedict": 42,
+    "escargots": 43,
+    "falafel": 44,
+    "filet_mignon": 45,
+    "fish_and_chips": 46,
+    "foie_gras": 47,
+    "french_fries": 48,
+    "french_onion_soup": 49,
+    "french_toast": 50,
+    "fried_calamari": 51,
+    "fried_rice": 52,
+    "frozen_yogurt": 53,
+    "garlic_bread": 54,
+    "gnocchi": 55,
+    "greek_salad": 56,
+    "grilled_cheese_sandwich": 57,
+    "grilled_salmon": 58,
+    "guacamole": 59,
+    "gyoza": 60,
+    "hamburger": 61,
+    "hot_and_sour_soup": 62,
+    "hot_dog": 63,
+    "huevos_rancheros": 64,
+    "hummus": 65,
+    "ice_cream": 66,
+    "idli": 67,
+    "jalebi": 68,
+    "kathi_rolls": 69,
+    "kofta": 70,
+    "kulfi": 71,
+    "lasagna": 72,
+    "lobster_bisque": 73,
+    "lobster_roll_sandwich": 74,
+    "macaroni_and_cheese": 75,
+    "macarons": 76,
+    "miso_soup": 77,
+    "momos": 78,
+    "mussels": 79,
+    "naan": 80,
+    "nachos": 81,
+    "omelette": 82,
+    "onion_rings": 83,
+    "oysters": 84,
+    "pad_thai": 85,
+    "paella": 86,
+    "pakoda": 87,
+    "pancakes": 88,
+    "pani_puri": 89,
+    "panna_cotta": 90,
+    "panner_butter_masala": 91,
+    "pav_bhaji": 92,
+    "peking_duck": 93,
+    "pho": 94,
+    "pizza": 95,
+    "pork_chop": 96,
+    "poutine": 97,
+    "prime_rib": 98,
+    "pulled_pork_sandwich": 99,
+    "ramen": 100,
+    "ravioli": 101,
+    "red_velvet_cake": 102,
+    "risotto": 103,
+    "samosa": 104,
+    "sashimi": 105,
+    "scallops": 106,
+    "seaweed_salad": 107,
+    "shrimp_and_grits": 108,
+    "spaghetti_bolognese": 109,
+    "spaghetti_carbonara": 110,
+    "spring_rolls": 111,
+    "steak": 112,
+    "strawberry_shortcake": 113,
+    "sushi": 114,
+    "tacos": 115,
+    "takoyaki": 116,
+    "tiramisu": 117,
+    "tuna_tartare": 118,
+    "vadapav": 119,
+    "waffles": 120
+  },
+  "layer_norm_eps": 0.001,
+  "min_depth": 8,
+  "model_type": "mobilenet_v2",
+  "num_channels": 3,
+  "output_stride": 32,
+  "problem_type": "single_label_classification",
+  "semantic_loss_ignore_index": 255,
+  "tf_padding": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.2"
+}

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preprocessor_config.json

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+    "width": 224
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+  "do_resize": true,
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+}

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