End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/detr-resnet-50
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow
+  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. -->
+
+# detr-resnet-50_adamw_hf_epoch_finetuned_food-roboflow
+
+This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9613
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 33   | 3.4739          |
+| 4.5266        | 2.0   | 66   | 3.4064          |
+| 4.5266        | 3.0   | 99   | 3.2739          |
+| 3.2133        | 4.0   | 132  | 3.3611          |
+| 3.3196        | 5.0   | 165  | 3.1082          |
+| 3.3196        | 6.0   | 198  | 3.2548          |
+| 2.9882        | 7.0   | 231  | 3.2691          |
+| 3.1559        | 8.0   | 264  | 3.2925          |
+| 3.1559        | 9.0   | 297  | 3.1214          |
+| 2.9855        | 10.0  | 330  | 3.0595          |
+| 2.8269        | 11.0  | 363  | 3.0367          |
+| 2.8269        | 12.0  | 396  | 3.0276          |
+| 2.7938        | 13.0  | 429  | 3.0012          |
+| 2.7678        | 14.0  | 462  | 2.9559          |
+| 2.7678        | 15.0  | 495  | 2.9613          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "facebook/detr-resnet-50",
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "DetrForObjectDetection"
+  ],
+  "attention_dropout": 0.0,
+  "auxiliary_loss": false,
+  "backbone": "resnet50",
+  "backbone_config": null,
+  "bbox_cost": 5,
+  "bbox_loss_coefficient": 5,
+  "class_cost": 1,
+  "classifier_dropout": 0.0,
+  "d_model": 256,
+  "decoder_attention_heads": 8,
+  "decoder_ffn_dim": 2048,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "dice_loss_coefficient": 1,
+  "dilation": false,
+  "dropout": 0.1,
+  "encoder_attention_heads": 8,
+  "encoder_ffn_dim": 2048,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_coefficient": 0.1,
+  "giou_cost": 2,
+  "giou_loss_coefficient": 2,
+  "id2label": {
+    "0": "Akabare Khursani",
+    "1": "Apple",
+    "2": "Artichoke",
+    "3": "Ash Gourd -Kubhindo-",
+    "4": "Asparagus -Kurilo-",
+    "5": "Avocado",
+    "6": "Bacon",
+    "7": "Bamboo Shoots -Tama-",
+    "8": "Banana",
+    "9": "Beans",
+    "10": "Beaten Rice -Chiura-",
+    "11": "Beef",
+    "12": "Beetroot",
+    "13": "Bethu ko Saag",
+    "14": "Bitter Gourd",
+    "15": "Black Lentils",
+    "16": "Black beans",
+    "17": "Bottle Gourd -Lauka-",
+    "18": "Bread",
+    "19": "Brinjal",
+    "20": "Broad Beans -Bakullo-",
+    "21": "Broccoli",
+    "22": "Buff Meat",
+    "23": "Butter",
+    "24": "Cabbage",
+    "25": "Capsicum",
+    "26": "Carrot",
+    "27": "Cassava -Ghar Tarul-",
+    "28": "Cauliflower",
+    "29": "Chayote-iskus-",
+    "30": "Cheese",
+    "31": "Chicken Gizzards",
+    "32": "Chicken",
+    "33": "Chickpeas",
+    "34": "Chili Pepper -Khursani-",
+    "35": "Chili Powder",
+    "36": "Chowmein Noodles",
+    "37": "Cinnamon",
+    "38": "Coriander -Dhaniya-",
+    "39": "Corn",
+    "40": "Cornflakec",
+    "41": "Crab Meat",
+    "42": "Cucumber",
+    "43": "Egg",
+    "44": "Farsi ko Munta",
+    "45": "Fiddlehead Ferns -Niguro-",
+    "46": "Fish",
+    "47": "Garden Peas",
+    "48": "Garden cress-Chamsur ko saag-",
+    "49": "Garlic",
+    "50": "Ginger",
+    "51": "Green Brinjal",
+    "52": "Green Lentils",
+    "53": "Green Mint -Pudina-",
+    "54": "Green Peas",
+    "55": "Green Soyabean -Hariyo Bhatmas-",
+    "56": "Gundruk",
+    "57": "Ham",
+    "58": "Ice",
+    "59": "Jack Fruit",
+    "60": "Ketchup",
+    "61": "Lapsi -Nepali Hog Plum-",
+    "62": "Lemon -Nimbu-",
+    "63": "Lime -Kagati-",
+    "64": "Long Beans -Bodi-",
+    "65": "Masyaura",
+    "66": "Milk",
+    "67": "Minced Meat",
+    "68": "Moringa Leaves -Sajyun ko Munta-",
+    "69": "Mushroom",
+    "70": "Mutton",
+    "71": "Nutrela -Soya Chunks-",
+    "72": "Okra -Bhindi-",
+    "73": "Olive Oil",
+    "74": "Onion Leaves",
+    "75": "Onion",
+    "76": "Orange",
+    "77": "Palak -Indian Spinach-",
+    "78": "Palungo -Nepali Spinach-",
+    "79": "Paneer",
+    "80": "Papaya",
+    "81": "Pea",
+    "82": "Pear",
+    "83": "Pointed Gourd -Chuche Karela-",
+    "84": "Pork",
+    "85": "Potato",
+    "86": "Pumpkin -Farsi-",
+    "87": "Radish",
+    "88": "Rahar ko Daal",
+    "89": "Rayo ko Saag",
+    "90": "Red Beans",
+    "91": "Red Lentils",
+    "92": "Rice -Chamal-",
+    "93": "Sajjyun -Moringa Drumsticks-",
+    "94": "Salt",
+    "95": "Sausage",
+    "96": "Snake Gourd -Chichindo-",
+    "97": "Soy Sauce",
+    "98": "Soyabean -Bhatmas-",
+    "99": "Sponge Gourd -Ghiraula-",
+    "100": "Stinging Nettle -Sisnu-",
+    "101": "Strawberry",
+    "102": "Sugar",
+    "103": "Sweet Potato -Suthuni-",
+    "104": "Taro Leaves -Karkalo-",
+    "105": "Taro Root-Pidalu-",
+    "106": "Thukpa Noodles",
+    "107": "Tofu",
+    "108": "Tomato",
+    "109": "Tori ko Saag",
+    "110": "Tree Tomato -Rukh Tamatar-",
+    "111": "Turnip",
+    "112": "Wallnut",
+    "113": "Water Melon",
+    "114": "Wheat",
+    "115": "Yellow Lentils",
+    "116": "kimchi",
+    "117": "mayonnaise",
+    "118": "noodle",
+    "119": "seaweed"
+  },
+  "init_std": 0.02,
+  "init_xavier_std": 1.0,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "Akabare Khursani": 0,
+    "Apple": 1,
+    "Artichoke": 2,
+    "Ash Gourd -Kubhindo-": 3,
+    "Asparagus -Kurilo-": 4,
+    "Avocado": 5,
+    "Bacon": 6,
+    "Bamboo Shoots -Tama-": 7,
+    "Banana": 8,
+    "Beans": 9,
+    "Beaten Rice -Chiura-": 10,
+    "Beef": 11,
+    "Beetroot": 12,
+    "Bethu ko Saag": 13,
+    "Bitter Gourd": 14,
+    "Black Lentils": 15,
+    "Black beans": 16,
+    "Bottle Gourd -Lauka-": 17,
+    "Bread": 18,
+    "Brinjal": 19,
+    "Broad Beans -Bakullo-": 20,
+    "Broccoli": 21,
+    "Buff Meat": 22,
+    "Butter": 23,
+    "Cabbage": 24,
+    "Capsicum": 25,
+    "Carrot": 26,
+    "Cassava -Ghar Tarul-": 27,
+    "Cauliflower": 28,
+    "Chayote-iskus-": 29,
+    "Cheese": 30,
+    "Chicken": 32,
+    "Chicken Gizzards": 31,
+    "Chickpeas": 33,
+    "Chili Pepper -Khursani-": 34,
+    "Chili Powder": 35,
+    "Chowmein Noodles": 36,
+    "Cinnamon": 37,
+    "Coriander -Dhaniya-": 38,
+    "Corn": 39,
+    "Cornflakec": 40,
+    "Crab Meat": 41,
+    "Cucumber": 42,
+    "Egg": 43,
+    "Farsi ko Munta": 44,
+    "Fiddlehead Ferns -Niguro-": 45,
+    "Fish": 46,
+    "Garden Peas": 47,
+    "Garden cress-Chamsur ko saag-": 48,
+    "Garlic": 49,
+    "Ginger": 50,
+    "Green Brinjal": 51,
+    "Green Lentils": 52,
+    "Green Mint -Pudina-": 53,
+    "Green Peas": 54,
+    "Green Soyabean -Hariyo Bhatmas-": 55,
+    "Gundruk": 56,
+    "Ham": 57,
+    "Ice": 58,
+    "Jack Fruit": 59,
+    "Ketchup": 60,
+    "Lapsi -Nepali Hog Plum-": 61,
+    "Lemon -Nimbu-": 62,
+    "Lime -Kagati-": 63,
+    "Long Beans -Bodi-": 64,
+    "Masyaura": 65,
+    "Milk": 66,
+    "Minced Meat": 67,
+    "Moringa Leaves -Sajyun ko Munta-": 68,
+    "Mushroom": 69,
+    "Mutton": 70,
+    "Nutrela -Soya Chunks-": 71,
+    "Okra -Bhindi-": 72,
+    "Olive Oil": 73,
+    "Onion": 75,
+    "Onion Leaves": 74,
+    "Orange": 76,
+    "Palak -Indian Spinach-": 77,
+    "Palungo -Nepali Spinach-": 78,
+    "Paneer": 79,
+    "Papaya": 80,
+    "Pea": 81,
+    "Pear": 82,
+    "Pointed Gourd -Chuche Karela-": 83,
+    "Pork": 84,
+    "Potato": 85,
+    "Pumpkin -Farsi-": 86,
+    "Radish": 87,
+    "Rahar ko Daal": 88,
+    "Rayo ko Saag": 89,
+    "Red Beans": 90,
+    "Red Lentils": 91,
+    "Rice -Chamal-": 92,
+    "Sajjyun -Moringa Drumsticks-": 93,
+    "Salt": 94,
+    "Sausage": 95,
+    "Snake Gourd -Chichindo-": 96,
+    "Soy Sauce": 97,
+    "Soyabean -Bhatmas-": 98,
+    "Sponge Gourd -Ghiraula-": 99,
+    "Stinging Nettle -Sisnu-": 100,
+    "Strawberry": 101,
+    "Sugar": 102,
+    "Sweet Potato -Suthuni-": 103,
+    "Taro Leaves -Karkalo-": 104,
+    "Taro Root-Pidalu-": 105,
+    "Thukpa Noodles": 106,
+    "Tofu": 107,
+    "Tomato": 108,
+    "Tori ko Saag": 109,
+    "Tree Tomato -Rukh Tamatar-": 110,
+    "Turnip": 111,
+    "Wallnut": 112,
+    "Water Melon": 113,
+    "Wheat": 114,
+    "Yellow Lentils": 115,
+    "kimchi": 116,
+    "mayonnaise": 117,
+    "noodle": 118,
+    "seaweed": 119
+  },
+  "mask_loss_coefficient": 1,
+  "max_position_embeddings": 1024,
+  "model_type": "detr",
+  "num_channels": 3,
+  "num_hidden_layers": 6,
+  "num_queries": 100,
+  "position_embedding_type": "sine",
+  "scale_embedding": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0",
+  "use_pretrained_backbone": true,
+  "use_timm_backbone": true
+}

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