Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/deit-tiny-patch16-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: food101-deit-tiny-patch16-224
+  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. -->
+
+# food101-deit-tiny-patch16-224
+
+This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6538
+- Accuracy: 0.8204
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.7988        | 1.0   | 9469  | 1.4392          | 0.6555   |
+| 1.5581        | 2.0   | 18938 | 1.1165          | 0.7145   |
+| 1.2981        | 3.0   | 28407 | 0.9254          | 0.7558   |
+| 1.4347        | 4.0   | 37876 | 0.8343          | 0.7739   |
+| 0.9679        | 5.0   | 47345 | 0.7731          | 0.7922   |
+| 0.9975        | 6.0   | 56814 | 0.7378          | 0.7998   |
+| 1.0269        | 7.0   | 66283 | 0.7022          | 0.8073   |
+| 0.8969        | 8.0   | 75752 | 0.6865          | 0.8117   |
+| 0.8152        | 9.0   | 85221 | 0.6641          | 0.8194   |
+| 0.7437        | 10.0  | 94690 | 0.6538          | 0.8204   |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.1.2+cu118
+- Datasets 2.19.1
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9035247524752476,
+    "eval_loss": 0.38733184337615967,
+    "eval_runtime": 228.3973,
+    "eval_samples_per_second": 110.553,
+    "eval_steps_per_second": 13.822,
+    "train_loss": 0.6563277260213383,
+    "train_runtime": 13063.3743,
+    "train_samples_per_second": 57.987,
+    "train_steps_per_second": 7.249
+}

config.json

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+{
+  "_name_or_path": "facebook/deit-tiny-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "finetuning_task": "image-classification",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 192,
+  "id2label": {
+    "0": "apple_pie",
+    "1": "baby_back_ribs",
+    "10": "bruschetta",
+    "100": "waffles",
+    "11": "caesar_salad",
+    "12": "cannoli",
+    "13": "caprese_salad",
+    "14": "carrot_cake",
+    "15": "ceviche",
+    "16": "cheesecake",
+    "17": "cheese_plate",
+    "18": "chicken_curry",
+    "19": "chicken_quesadilla",
+    "2": "baklava",
+    "20": "chicken_wings",
+    "21": "chocolate_cake",
+    "22": "chocolate_mousse",
+    "23": "churros",
+    "24": "clam_chowder",
+    "25": "club_sandwich",
+    "26": "crab_cakes",
+    "27": "creme_brulee",
+    "28": "croque_madame",
+    "29": "cup_cakes",
+    "3": "beef_carpaccio",
+    "30": "deviled_eggs",
+    "31": "donuts",
+    "32": "dumplings",
+    "33": "edamame",
+    "34": "eggs_benedict",
+    "35": "escargots",
+    "36": "falafel",
+    "37": "filet_mignon",
+    "38": "fish_and_chips",
+    "39": "foie_gras",
+    "4": "beef_tartare",
+    "40": "french_fries",
+    "41": "french_onion_soup",
+    "42": "french_toast",
+    "43": "fried_calamari",
+    "44": "fried_rice",
+    "45": "frozen_yogurt",
+    "46": "garlic_bread",
+    "47": "gnocchi",
+    "48": "greek_salad",
+    "49": "grilled_cheese_sandwich",
+    "5": "beet_salad",
+    "50": "grilled_salmon",
+    "51": "guacamole",
+    "52": "gyoza",
+    "53": "hamburger",
+    "54": "hot_and_sour_soup",
+    "55": "hot_dog",
+    "56": "huevos_rancheros",
+    "57": "hummus",
+    "58": "ice_cream",
+    "59": "lasagna",
+    "6": "beignets",
+    "60": "lobster_bisque",
+    "61": "lobster_roll_sandwich",
+    "62": "macaroni_and_cheese",
+    "63": "macarons",
+    "64": "miso_soup",
+    "65": "mussels",
+    "66": "nachos",
+    "67": "omelette",
+    "68": "onion_rings",
+    "69": "oysters",
+    "7": "bibimbap",
+    "70": "pad_thai",
+    "71": "paella",
+    "72": "pancakes",
+    "73": "panna_cotta",
+    "74": "peking_duck",
+    "75": "pho",
+    "76": "pizza",
+    "77": "pork_chop",
+    "78": "poutine",
+    "79": "prime_rib",
+    "8": "bread_pudding",
+    "80": "pulled_pork_sandwich",
+    "81": "ramen",
+    "82": "ravioli",
+    "83": "red_velvet_cake",
+    "84": "risotto",
+    "85": "samosa",
+    "86": "sashimi",
+    "87": "scallops",
+    "88": "seaweed_salad",
+    "89": "shrimp_and_grits",
+    "9": "breakfast_burrito",
+    "90": "spaghetti_bolognese",
+    "91": "spaghetti_carbonara",
+    "92": "spring_rolls",
+    "93": "steak",
+    "94": "strawberry_shortcake",
+    "95": "sushi",
+    "96": "tacos",
+    "97": "takoyaki",
+    "98": "tiramisu",
+    "99": "tuna_tartare"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 768,
+  "label2id": {
+    "apple_pie": "0",
+    "baby_back_ribs": "1",
+    "baklava": "2",
+    "beef_carpaccio": "3",
+    "beef_tartare": "4",
+    "beet_salad": "5",
+    "beignets": "6",
+    "bibimbap": "7",
+    "bread_pudding": "8",
+    "breakfast_burrito": "9",
+    "bruschetta": "10",
+    "caesar_salad": "11",
+    "cannoli": "12",
+    "caprese_salad": "13",
+    "carrot_cake": "14",
+    "ceviche": "15",
+    "cheese_plate": "17",
+    "cheesecake": "16",
+    "chicken_curry": "18",
+    "chicken_quesadilla": "19",
+    "chicken_wings": "20",
+    "chocolate_cake": "21",
+    "chocolate_mousse": "22",
+    "churros": "23",
+    "clam_chowder": "24",
+    "club_sandwich": "25",
+    "crab_cakes": "26",
+    "creme_brulee": "27",
+    "croque_madame": "28",
+    "cup_cakes": "29",
+    "deviled_eggs": "30",
+    "donuts": "31",
+    "dumplings": "32",
+    "edamame": "33",
+    "eggs_benedict": "34",
+    "escargots": "35",
+    "falafel": "36",
+    "filet_mignon": "37",
+    "fish_and_chips": "38",
+    "foie_gras": "39",
+    "french_fries": "40",
+    "french_onion_soup": "41",
+    "french_toast": "42",
+    "fried_calamari": "43",
+    "fried_rice": "44",
+    "frozen_yogurt": "45",
+    "garlic_bread": "46",
+    "gnocchi": "47",
+    "greek_salad": "48",
+    "grilled_cheese_sandwich": "49",
+    "grilled_salmon": "50",
+    "guacamole": "51",
+    "gyoza": "52",
+    "hamburger": "53",
+    "hot_and_sour_soup": "54",
+    "hot_dog": "55",
+    "huevos_rancheros": "56",
+    "hummus": "57",
+    "ice_cream": "58",
+    "lasagna": "59",
+    "lobster_bisque": "60",
+    "lobster_roll_sandwich": "61",
+    "macaroni_and_cheese": "62",
+    "macarons": "63",
+    "miso_soup": "64",
+    "mussels": "65",
+    "nachos": "66",
+    "omelette": "67",
+    "onion_rings": "68",
+    "oysters": "69",
+    "pad_thai": "70",
+    "paella": "71",
+    "pancakes": "72",
+    "panna_cotta": "73",
+    "peking_duck": "74",
+    "pho": "75",
+    "pizza": "76",
+    "pork_chop": "77",
+    "poutine": "78",
+    "prime_rib": "79",
+    "pulled_pork_sandwich": "80",
+    "ramen": "81",
+    "ravioli": "82",
+    "red_velvet_cake": "83",
+    "risotto": "84",
+    "samosa": "85",
+    "sashimi": "86",
+    "scallops": "87",
+    "seaweed_salad": "88",
+    "shrimp_and_grits": "89",
+    "spaghetti_bolognese": "90",
+    "spaghetti_carbonara": "91",
+    "spring_rolls": "92",
+    "steak": "93",
+    "strawberry_shortcake": "94",
+    "sushi": "95",
+    "tacos": "96",
+    "takoyaki": "97",
+    "tiramisu": "98",
+    "tuna_tartare": "99",
+    "waffles": "100"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 3,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.0"
+}

eval_results.json

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+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.9035247524752476,
+    "eval_loss": 0.38733184337615967,
+    "eval_runtime": 228.3973,
+    "eval_samples_per_second": 110.553,
+    "eval_steps_per_second": 13.822
+}

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preprocessor_config.json

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+  "do_resize": true,
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+}

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train_results.json

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+    "train_loss": 0.6563277260213383,
+    "train_runtime": 13063.3743,
+    "train_samples_per_second": 57.987,
+    "train_steps_per_second": 7.249
+}

training_args.bin

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