End of training

README.md

@@ -0,0 +1,174 @@
+---
+license: apache-2.0
+base_model: microsoft/resnet-101
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: Dogs-Breed-Image-Classification-V1
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8757971454600668
+---
+
+<!-- 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. -->
+
+# Dogs-Breed-Image-Classification-V1
+
+This model is a fine-tuned version of [microsoft/resnet-101](https://huggingface.co/microsoft/resnet-101) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4469
+- Accuracy: 0.8758
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| No log        | 1.0   | 309   | 18.7685         | 0.0091   |
+| 18.7211       | 2.0   | 618   | 18.5975         | 0.0091   |
+| 18.7211       | 3.0   | 927   | 17.4087         | 0.0091   |
+| 15.4274       | 4.0   | 1236  | 11.8712         | 0.0091   |
+| 10.3252       | 5.0   | 1545  | 6.6642          | 0.0091   |
+| 10.3252       | 6.0   | 1854  | 5.2754          | 0.0112   |
+| 6.2268        | 7.0   | 2163  | 4.8454          | 0.0158   |
+| 6.2268        | 8.0   | 2472  | 4.7658          | 0.0140   |
+| 4.9682        | 9.0   | 2781  | 4.6860          | 0.0234   |
+| 4.7245        | 10.0  | 3090  | 4.6165          | 0.0316   |
+| 4.7245        | 11.0  | 3399  | 4.5349          | 0.0446   |
+| 4.5441        | 12.0  | 3708  | 4.4555          | 0.0623   |
+| 4.3912        | 13.0  | 4017  | 4.3437          | 0.0862   |
+| 4.3912        | 14.0  | 4326  | 4.2182          | 0.1330   |
+| 4.2211        | 15.0  | 4635  | 4.0752          | 0.2153   |
+| 4.2211        | 16.0  | 4944  | 3.9803          | 0.2599   |
+| 3.9762        | 17.0  | 5253  | 3.7347          | 0.3596   |
+| 3.69          | 18.0  | 5562  | 3.5493          | 0.4194   |
+| 3.69          | 19.0  | 5871  | 3.3404          | 0.4813   |
+| 3.3803        | 20.0  | 6180  | 3.1122          | 0.5600   |
+| 3.3803        | 21.0  | 6489  | 2.8656          | 0.6101   |
+| 3.0345        | 22.0  | 6798  | 2.6544          | 0.6462   |
+| 2.6793        | 23.0  | 7107  | 2.4178          | 0.6647   |
+| 2.6793        | 24.0  | 7416  | 2.1967          | 0.7121   |
+| 2.3251        | 25.0  | 7725  | 2.0091          | 0.7203   |
+| 1.9975        | 26.0  | 8034  | 1.8189          | 0.7464   |
+| 1.9975        | 27.0  | 8343  | 1.6537          | 0.7519   |
+| 1.7009        | 28.0  | 8652  | 1.4413          | 0.7880   |
+| 1.7009        | 29.0  | 8961  | 1.3137          | 0.7968   |
+| 1.4494        | 30.0  | 9270  | 1.2150          | 0.7929   |
+| 1.2389        | 31.0  | 9579  | 1.1238          | 0.8041   |
+| 1.2389        | 32.0  | 9888  | 1.0215          | 0.8208   |
+| 1.0646        | 33.0  | 10197 | 0.9637          | 0.8190   |
+| 0.9319        | 34.0  | 10506 | 0.8891          | 0.8299   |
+| 0.9319        | 35.0  | 10815 | 0.8520          | 0.8330   |
+| 0.8297        | 36.0  | 11124 | 0.8212          | 0.8400   |
+| 0.8297        | 37.0  | 11433 | 0.7579          | 0.8415   |
+| 0.7293        | 38.0  | 11742 | 0.7254          | 0.8454   |
+| 0.6657        | 39.0  | 12051 | 0.7019          | 0.8457   |
+| 0.6657        | 40.0  | 12360 | 0.6669          | 0.8527   |
+| 0.6047        | 41.0  | 12669 | 0.6510          | 0.8530   |
+| 0.6047        | 42.0  | 12978 | 0.6264          | 0.8545   |
+| 0.557         | 43.0  | 13287 | 0.6275          | 0.8506   |
+| 0.5126        | 44.0  | 13596 | 0.5947          | 0.8536   |
+| 0.5126        | 45.0  | 13905 | 0.5860          | 0.8573   |
+| 0.475         | 46.0  | 14214 | 0.5745          | 0.8545   |
+| 0.4406        | 47.0  | 14523 | 0.5579          | 0.8600   |
+| 0.4406        | 48.0  | 14832 | 0.5386          | 0.8621   |
+| 0.4086        | 49.0  | 15141 | 0.5346          | 0.8624   |
+| 0.4086        | 50.0  | 15450 | 0.5200          | 0.8612   |
+| 0.3882        | 51.0  | 15759 | 0.5233          | 0.8612   |
+| 0.3646        | 52.0  | 16068 | 0.5148          | 0.8640   |
+| 0.3646        | 53.0  | 16377 | 0.5078          | 0.8679   |
+| 0.3386        | 54.0  | 16686 | 0.5067          | 0.8646   |
+| 0.3386        | 55.0  | 16995 | 0.4976          | 0.8673   |
+| 0.3208        | 56.0  | 17304 | 0.4934          | 0.8682   |
+| 0.3039        | 57.0  | 17613 | 0.4849          | 0.8688   |
+| 0.3039        | 58.0  | 17922 | 0.4930          | 0.8691   |
+| 0.2915        | 59.0  | 18231 | 0.4867          | 0.8655   |
+| 0.2784        | 60.0  | 18540 | 0.4832          | 0.8679   |
+| 0.2784        | 61.0  | 18849 | 0.4785          | 0.8670   |
+| 0.2597        | 62.0  | 19158 | 0.4753          | 0.8685   |
+| 0.2597        | 63.0  | 19467 | 0.4701          | 0.8712   |
+| 0.2488        | 64.0  | 19776 | 0.4766          | 0.8697   |
+| 0.2426        | 65.0  | 20085 | 0.4726          | 0.8700   |
+| 0.2426        | 66.0  | 20394 | 0.4670          | 0.8694   |
+| 0.2261        | 67.0  | 20703 | 0.4624          | 0.8722   |
+| 0.2252        | 68.0  | 21012 | 0.4631          | 0.8718   |
+| 0.2252        | 69.0  | 21321 | 0.4702          | 0.8670   |
+| 0.2116        | 70.0  | 21630 | 0.4629          | 0.8715   |
+| 0.2116        | 71.0  | 21939 | 0.4650          | 0.8685   |
+| 0.2032        | 72.0  | 22248 | 0.4670          | 0.8673   |
+| 0.2035        | 73.0  | 22557 | 0.4565          | 0.8670   |
+| 0.2035        | 74.0  | 22866 | 0.4550          | 0.8697   |
+| 0.19          | 75.0  | 23175 | 0.4544          | 0.8706   |
+| 0.19          | 76.0  | 23484 | 0.4483          | 0.8670   |
+| 0.1833        | 77.0  | 23793 | 0.4650          | 0.8694   |
+| 0.184         | 78.0  | 24102 | 0.4604          | 0.8709   |
+| 0.184         | 79.0  | 24411 | 0.4484          | 0.8697   |
+| 0.1728        | 80.0  | 24720 | 0.4469          | 0.8758   |
+| 0.1688        | 81.0  | 25029 | 0.4536          | 0.8676   |
+| 0.1688        | 82.0  | 25338 | 0.4450          | 0.8709   |
+| 0.1674        | 83.0  | 25647 | 0.4530          | 0.8691   |
+| 0.1674        | 84.0  | 25956 | 0.4532          | 0.8725   |
+| 0.1632        | 85.0  | 26265 | 0.4495          | 0.8718   |
+| 0.1605        | 86.0  | 26574 | 0.4440          | 0.8673   |
+| 0.1605        | 87.0  | 26883 | 0.4504          | 0.8731   |
+| 0.1586        | 88.0  | 27192 | 0.4551          | 0.8667   |
+| 0.1558        | 89.0  | 27501 | 0.4498          | 0.8670   |
+| 0.1558        | 90.0  | 27810 | 0.4516          | 0.8718   |
+| 0.1587        | 91.0  | 28119 | 0.4450          | 0.8725   |
+| 0.1587        | 92.0  | 28428 | 0.4435          | 0.8706   |
+| 0.1505        | 93.0  | 28737 | 0.4459          | 0.8722   |
+| 0.1492        | 94.0  | 29046 | 0.4578          | 0.8673   |
+| 0.1492        | 95.0  | 29355 | 0.4499          | 0.8725   |
+| 0.1459        | 96.0  | 29664 | 0.4494          | 0.8703   |
+| 0.1459        | 97.0  | 29973 | 0.4533          | 0.8697   |
+| 0.1481        | 98.0  | 30282 | 0.4524          | 0.8652   |
+| 0.1477        | 99.0  | 30591 | 0.4496          | 0.8715   |
+| 0.1477        | 100.0 | 30900 | 0.4523          | 0.8661   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.3.0
+- Datasets 2.15.0
+- Tokenizers 0.15.1

config.json

@@ -0,0 +1,285 @@
+{
+  "_name_or_path": "microsoft/resnet-101",
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    3,
+    4,
+    23,
+    3
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    256,
+    512,
+    1024,
+    2048
+  ],
+  "id2label": {
+    "0": "Afghan_hound",
+    "1": "African_hunting_dog",
+    "10": "Border_terrier",
+    "100": "kuvasz",
+    "101": "malamute",
+    "102": "malinois",
+    "103": "miniature_pinscher",
+    "104": "miniature_poodle",
+    "105": "miniature_schnauzer",
+    "106": "otterhound",
+    "107": "papillon",
+    "108": "pug",
+    "109": "redbone",
+    "11": "Boston_bull",
+    "110": "schipperke",
+    "111": "silky_terrier",
+    "112": "soft",
+    "113": "standard_poodle",
+    "114": "standard_schnauzer",
+    "115": "toy_poodle",
+    "116": "toy_terrier",
+    "117": "vizsla",
+    "118": "whippet",
+    "119": "wire",
+    "12": "Bouvier_des_Flandres",
+    "13": "Brabancon_griffon",
+    "14": "Brittany_spaniel",
+    "15": "Cardigan",
+    "16": "Chesapeake_Bay_retriever",
+    "17": "Chihuahua",
+    "18": "Dandie_Dinmont",
+    "19": "Doberman",
+    "2": "Airedale",
+    "20": "English_foxhound",
+    "21": "English_setter",
+    "22": "English_springer",
+    "23": "EntleBucher",
+    "24": "Eskimo_dog",
+    "25": "French_bulldog",
+    "26": "German_shepherd",
+    "27": "German_short",
+    "28": "Gordon_setter",
+    "29": "Great_Dane",
+    "3": "American_Staffordshire_terrier",
+    "30": "Great_Pyrenees",
+    "31": "Greater_Swiss_Mountain_dog",
+    "32": "Ibizan_hound",
+    "33": "Irish_setter",
+    "34": "Irish_terrier",
+    "35": "Irish_water_spaniel",
+    "36": "Irish_wolfhound",
+    "37": "Italian_greyhound",
+    "38": "Japanese_spaniel",
+    "39": "Kerry_blue_terrier",
+    "4": "Appenzeller",
+    "40": "Labrador_retriever",
+    "41": "Lakeland_terrier",
+    "42": "Leonberg",
+    "43": "Lhasa",
+    "44": "Maltese_dog",
+    "45": "Mexican_hairless",
+    "46": "Newfoundland",
+    "47": "Norfolk_terrier",
+    "48": "Norwegian_elkhound",
+    "49": "Norwich_terrier",
+    "5": "Australian_terrier",
+    "50": "Old_English_sheepdog",
+    "51": "Pekinese",
+    "52": "Pembroke",
+    "53": "Pomeranian",
+    "54": "Rhodesian_ridgeback",
+    "55": "Rottweiler",
+    "56": "Saint_Bernard",
+    "57": "Saluki",
+    "58": "Samoyed",
+    "59": "Scotch_terrier",
+    "6": "Bedlington_terrier",
+    "60": "Scottish_deerhound",
+    "61": "Sealyham_terrier",
+    "62": "Shetland_sheepdog",
+    "63": "Shih",
+    "64": "Siberian_husky",
+    "65": "Staffordshire_bullterrier",
+    "66": "Sussex_spaniel",
+    "67": "Tibetan_mastiff",
+    "68": "Tibetan_terrier",
+    "69": "Walker_hound",
+    "7": "Bernese_mountain_dog",
+    "70": "Weimaraner",
+    "71": "Welsh_springer_spaniel",
+    "72": "West_Highland_white_terrier",
+    "73": "Yorkshire_terrier",
+    "74": "affenpinscher",
+    "75": "basenji",
+    "76": "basset",
+    "77": "beagle",
+    "78": "black",
+    "79": "bloodhound",
+    "8": "Blenheim_spaniel",
+    "80": "bluetick",
+    "81": "borzoi",
+    "82": "boxer",
+    "83": "briard",
+    "84": "bull_mastiff",
+    "85": "cairn",
+    "86": "chow",
+    "87": "clumber",
+    "88": "cocker_spaniel",
+    "89": "collie",
+    "9": "Border_collie",
+    "90": "curly",
+    "91": "dhole",
+    "92": "dingo",
+    "93": "flat",
+    "94": "giant_schnauzer",
+    "95": "golden_retriever",
+    "96": "groenendael",
+    "97": "keeshond",
+    "98": "kelpie",
+    "99": "komondor"
+  },
+  "label2id": {
+    "Afghan_hound": "0",
+    "African_hunting_dog": "1",
+    "Airedale": "2",
+    "American_Staffordshire_terrier": "3",
+    "Appenzeller": "4",
+    "Australian_terrier": "5",
+    "Bedlington_terrier": "6",
+    "Bernese_mountain_dog": "7",
+    "Blenheim_spaniel": "8",
+    "Border_collie": "9",
+    "Border_terrier": "10",
+    "Boston_bull": "11",
+    "Bouvier_des_Flandres": "12",
+    "Brabancon_griffon": "13",
+    "Brittany_spaniel": "14",
+    "Cardigan": "15",
+    "Chesapeake_Bay_retriever": "16",
+    "Chihuahua": "17",
+    "Dandie_Dinmont": "18",
+    "Doberman": "19",
+    "English_foxhound": "20",
+    "English_setter": "21",
+    "English_springer": "22",
+    "EntleBucher": "23",
+    "Eskimo_dog": "24",
+    "French_bulldog": "25",
+    "German_shepherd": "26",
+    "German_short": "27",
+    "Gordon_setter": "28",
+    "Great_Dane": "29",
+    "Great_Pyrenees": "30",
+    "Greater_Swiss_Mountain_dog": "31",
+    "Ibizan_hound": "32",
+    "Irish_setter": "33",
+    "Irish_terrier": "34",
+    "Irish_water_spaniel": "35",
+    "Irish_wolfhound": "36",
+    "Italian_greyhound": "37",
+    "Japanese_spaniel": "38",
+    "Kerry_blue_terrier": "39",
+    "Labrador_retriever": "40",
+    "Lakeland_terrier": "41",
+    "Leonberg": "42",
+    "Lhasa": "43",
+    "Maltese_dog": "44",
+    "Mexican_hairless": "45",
+    "Newfoundland": "46",
+    "Norfolk_terrier": "47",
+    "Norwegian_elkhound": "48",
+    "Norwich_terrier": "49",
+    "Old_English_sheepdog": "50",
+    "Pekinese": "51",
+    "Pembroke": "52",
+    "Pomeranian": "53",
+    "Rhodesian_ridgeback": "54",
+    "Rottweiler": "55",
+    "Saint_Bernard": "56",
+    "Saluki": "57",
+    "Samoyed": "58",
+    "Scotch_terrier": "59",
+    "Scottish_deerhound": "60",
+    "Sealyham_terrier": "61",
+    "Shetland_sheepdog": "62",
+    "Shih": "63",
+    "Siberian_husky": "64",
+    "Staffordshire_bullterrier": "65",
+    "Sussex_spaniel": "66",
+    "Tibetan_mastiff": "67",
+    "Tibetan_terrier": "68",
+    "Walker_hound": "69",
+    "Weimaraner": "70",
+    "Welsh_springer_spaniel": "71",
+    "West_Highland_white_terrier": "72",
+    "Yorkshire_terrier": "73",
+    "affenpinscher": "74",
+    "basenji": "75",
+    "basset": "76",
+    "beagle": "77",
+    "black": "78",
+    "bloodhound": "79",
+    "bluetick": "80",
+    "borzoi": "81",
+    "boxer": "82",
+    "briard": "83",
+    "bull_mastiff": "84",
+    "cairn": "85",
+    "chow": "86",
+    "clumber": "87",
+    "cocker_spaniel": "88",
+    "collie": "89",
+    "curly": "90",
+    "dhole": "91",
+    "dingo": "92",
+    "flat": "93",
+    "giant_schnauzer": "94",
+    "golden_retriever": "95",
+    "groenendael": "96",
+    "keeshond": "97",
+    "kelpie": "98",
+    "komondor": "99",
+    "kuvasz": "100",
+    "malamute": "101",
+    "malinois": "102",
+    "miniature_pinscher": "103",
+    "miniature_poodle": "104",
+    "miniature_schnauzer": "105",
+    "otterhound": "106",
+    "papillon": "107",
+    "pug": "108",
+    "redbone": "109",
+    "schipperke": "110",
+    "silky_terrier": "111",
+    "soft": "112",
+    "standard_poodle": "113",
+    "standard_schnauzer": "114",
+    "toy_poodle": "115",
+    "toy_terrier": "116",
+    "vizsla": "117",
+    "whippet": "118",
+    "wire": "119"
+  },
+  "layer_type": "bottleneck",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "problem_type": "single_label_classification",
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2"
+}

model.safetensors

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+oid sha256:19d6315abec1d2ee3e156a14bda711b7ecf7c8a4e8c4a70ee126b98a80c6faf7
+size 171488800

preprocessor_config.json

@@ -0,0 +1,22 @@
+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}

training_args.bin

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+size 4728