DINOv2-finetuned-on-food101

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/dinov2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: dinov2-Base-finetuned-food101
+  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. -->
+
+# dinov2-Base-finetuned-food101
+
+This model is a fine-tuned version of [facebook/dinov2-base](https://huggingface.co/facebook/dinov2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0924
+- Accuracy: 0.98
+- F1: 0.9809
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.675         | 1.0   | 625  | 0.1778          | 0.938    | 0.9399 |
+| 0.5284        | 2.0   | 1250 | 0.1248          | 0.9613   | 0.9615 |
+| 0.3455        | 3.0   | 1875 | 0.1548          | 0.9513   | 0.9523 |
+| 0.1915        | 4.0   | 2500 | 0.1321          | 0.9567   | 0.9586 |
+| 0.1953        | 5.0   | 3125 | 0.0772          | 0.978    | 0.9784 |
+| 0.183         | 6.0   | 3750 | 0.0829          | 0.9773   | 0.9781 |
+| 0.1513        | 7.0   | 4375 | 0.1134          | 0.972    | 0.9735 |
+| 0.1222        | 8.0   | 5000 | 0.1164          | 0.972    | 0.9729 |
+| 0.2001        | 9.0   | 5625 | 0.0865          | 0.9773   | 0.9783 |
+| 0.0618        | 10.0  | 6250 | 0.0924          | 0.98     | 0.9809 |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.6.0
+- Tokenizers 0.21.1

all_results.json

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+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.98,
+    "eval_f1": 0.9809426117559896,
+    "eval_loss": 0.09235712885856628,
+    "eval_runtime": 25.7825,
+    "eval_samples_per_second": 58.179,
+    "eval_steps_per_second": 14.545,
+    "total_flos": 1.02317615087616e+19,
+    "train_loss": 0.2805785644757748,
+    "train_runtime": 4473.2535,
+    "train_samples_per_second": 22.355,
+    "train_steps_per_second": 1.397
+}

config.json

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+{
+  "apply_layernorm": true,
+  "architectures": [
+    "Dinov2ForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "drop_path_rate": 0.0,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "apple_pie",
+    "1": "baby_back_ribs",
+    "2": "baklava",
+    "3": "beef_carpaccio",
+    "4": "beef_tartare",
+    "5": "beet_salad",
+    "6": "beignets",
+    "7": "bibimbap",
+    "8": "bread_pudding",
+    "9": "breakfast_burrito",
+    "10": "bruschetta",
+    "11": "caesar_salad",
+    "12": "cannoli",
+    "13": "caprese_salad",
+    "14": "carrot_cake",
+    "15": "ceviche",
+    "16": "cheesecake",
+    "17": "cheese_plate",
+    "18": "chicken_curry",
+    "19": "chicken_quesadilla",
+    "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",
+    "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",
+    "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",
+    "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",
+    "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",
+    "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",
+    "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",
+    "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",
+    "100": "waffles"
+  },
+  "image_size": 518,
+  "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,
+    "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-06,
+  "layerscale_value": 1.0,
+  "mlp_ratio": 4,
+  "model_type": "dinov2",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "out_features": [
+    "stage12"
+  ],
+  "out_indices": [
+    12
+  ],
+  "patch_size": 14,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "reshape_hidden_states": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4",
+    "stage5",
+    "stage6",
+    "stage7",
+    "stage8",
+    "stage9",
+    "stage10",
+    "stage11",
+    "stage12"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
+  "use_mask_token": true,
+  "use_swiglu_ffn": false
+}

eval_results.json

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+{
+    "epoch": 10.0,
+    "eval_accuracy": 0.98,
+    "eval_f1": 0.9809426117559896,
+    "eval_loss": 0.09235712885856628,
+    "eval_runtime": 25.7825,
+    "eval_samples_per_second": 58.179,
+    "eval_steps_per_second": 14.545
+}

model.safetensors

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+size 346968596

preprocessor_config.json

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+{
+  "crop_size": {
+    "height": 224,
+    "width": 224
+  },
+  "do_center_crop": true,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "BitImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 256
+  }
+}

train_results.json

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+{
+    "epoch": 10.0,
+    "total_flos": 1.02317615087616e+19,
+    "train_loss": 0.2805785644757748,
+    "train_runtime": 4473.2535,
+    "train_samples_per_second": 22.355,
+    "train_steps_per_second": 1.397
+}

training_args.bin

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