End of training
Browse files
README.md
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---
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license: apache-2.0
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base_model: google/vit-large-patch16-224-in21k
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tags:
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- generated_from_trainer
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model-index:
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- name: dog_breeds_vit_large
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# dog_breeds_vit_large
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This model is a fine-tuned version of [google/vit-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.7073
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- eval_accuracy: 0.8257
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- eval_runtime: 64.4891
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- eval_samples_per_second: 95.737
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- eval_steps_per_second: 1.504
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- epoch: 12.0
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- step: 1356
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 20
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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config.json
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@@ -0,0 +1,268 @@
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{
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"_name_or_path": "google/vit-large-patch16-224-in21k",
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"architectures": [
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"ViTForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"encoder_stride": 16,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "Affenpinscher",
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"1": "Afghan Hound",
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"10": "Bedlington Terrier",
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"100": "Shih Tzu",
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"101": "Siberian Husky",
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"102": "Silky Terrier",
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"103": "Soft Coated Wheaten Terrier",
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"104": "Staffordshire Bullterrier",
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"105": "Standard Poodle",
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"106": "Standard Schnauzer",
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"107": "Sussex Spaniel",
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"108": "Tibetan Mastiff",
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"109": "Tibetan Terrier",
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"11": "Bernese Mountain Dog",
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"110": "Toy Poodle",
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"111": "Toy Terrier",
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"112": "Vizsla",
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"113": "Walker Hound",
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"114": "Weimaraner",
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"115": "Welsh Springer Spaniel",
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"116": "West Highland White Terrier",
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"117": "Whippet",
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"118": "Wire Haired Fox Terrier",
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"119": "Yorkshire Terrier",
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"12": "Black And Tan Coonhound",
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"13": "Blenheim Spaniel",
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"14": "Bloodhound",
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"15": "Bluetick",
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"16": "Border Collie",
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"17": "Border Terrier",
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"18": "Borzoi",
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"19": "Boston Bull",
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"2": "African Hunting Dog",
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"20": "Bouvier Des Flandres",
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"21": "Boxer",
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"22": "Brabancon Griffon",
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"23": "Briard",
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"24": "Brittany Spaniel",
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"25": "Bull Mastiff",
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"26": "Cairn",
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"27": "Cardigan",
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"28": "Chesapeake Bay Retriever",
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"29": "Chihuahua",
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"3": "Airedale",
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"30": "Chow",
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"31": "Clumber",
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"32": "Cocker Spaniel",
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"33": "Collie",
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"34": "Curly Coated Retriever",
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"35": "Dandie Dinmont",
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"36": "Dhole",
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"37": "Dingo",
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"38": "Doberman",
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"39": "English Foxhound",
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"4": "American Staffordshire Terrier",
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"40": "English Setter",
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"41": "English Springer",
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"42": "Entlebucher",
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"43": "Eskimo Dog",
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"44": "Flat Coated Retriever",
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"45": "French Bulldog",
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"46": "German Shepherd",
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"47": "German Short Haired Pointer",
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"48": "Giant Schnauzer",
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"49": "Golden Retriever",
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"5": "Appenzeller",
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"50": "Gordon Setter",
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"51": "Great Dane",
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"52": "Great Pyrenees",
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"53": "Greater Swiss Mountain Dog",
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"54": "Groenendael",
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"55": "Ibizan Hound",
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"56": "Irish Setter",
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"57": "Irish Terrier",
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"58": "Irish Water Spaniel",
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"59": "Irish Wolfhound",
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"6": "Australian Terrier",
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"60": "Italian Greyhound",
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"61": "Japanese Spaniel",
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"62": "Keeshond",
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"63": "Kelpie",
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"64": "Kerry Blue Terrier",
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"65": "Komondor",
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"66": "Kuvasz",
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"67": "Labrador Retriever",
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"68": "Lakeland Terrier",
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"69": "Leonberg",
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"7": "Basenji",
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"70": "Lhasa",
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"71": "Malamute",
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"72": "Malinois",
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"73": "Maltese Dog",
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"74": "Mexican Hairless",
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"75": "Miniature Pinscher",
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"76": "Miniature Poodle",
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"77": "Miniature Schnauzer",
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"78": "Newfoundland",
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"79": "Norfolk Terrier",
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"8": "Basset",
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"80": "Norwegian Elkhound",
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"81": "Norwich Terrier",
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"82": "Old English Sheepdog",
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"83": "Otterhound",
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"84": "Papillon",
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"85": "Pekinese",
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"86": "Pembroke",
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"87": "Pomeranian",
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"88": "Pug",
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"89": "Redbone",
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"9": "Beagle",
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"90": "Rhodesian Ridgeback",
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"91": "Rottweiler",
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"92": "Saint Bernard",
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"93": "Saluki",
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"94": "Samoyed",
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"95": "Schipperke",
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"96": "Scotch Terrier",
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"97": "Scottish Deerhound",
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"98": "Sealyham Terrier",
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"99": "Shetland Sheepdog"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"Affenpinscher": "0",
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"Afghan Hound": "1",
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"African Hunting Dog": "2",
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"Airedale": "3",
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"American Staffordshire Terrier": "4",
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"Appenzeller": "5",
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"Australian Terrier": "6",
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"Basenji": "7",
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"Basset": "8",
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"Beagle": "9",
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"Bedlington Terrier": "10",
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148 |
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"Bernese Mountain Dog": "11",
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149 |
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"Black And Tan Coonhound": "12",
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150 |
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"Blenheim Spaniel": "13",
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151 |
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"Bloodhound": "14",
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152 |
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"Bluetick": "15",
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153 |
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"Border Collie": "16",
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154 |
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"Border Terrier": "17",
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"Borzoi": "18",
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156 |
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"Boston Bull": "19",
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157 |
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"Bouvier Des Flandres": "20",
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158 |
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"Boxer": "21",
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159 |
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"Brabancon Griffon": "22",
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160 |
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"Briard": "23",
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161 |
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"Brittany Spaniel": "24",
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162 |
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"Bull Mastiff": "25",
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163 |
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"Cairn": "26",
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164 |
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"Cardigan": "27",
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165 |
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"Chesapeake Bay Retriever": "28",
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166 |
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"Chihuahua": "29",
|
167 |
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"Chow": "30",
|
168 |
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"Clumber": "31",
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169 |
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"Cocker Spaniel": "32",
|
170 |
+
"Collie": "33",
|
171 |
+
"Curly Coated Retriever": "34",
|
172 |
+
"Dandie Dinmont": "35",
|
173 |
+
"Dhole": "36",
|
174 |
+
"Dingo": "37",
|
175 |
+
"Doberman": "38",
|
176 |
+
"English Foxhound": "39",
|
177 |
+
"English Setter": "40",
|
178 |
+
"English Springer": "41",
|
179 |
+
"Entlebucher": "42",
|
180 |
+
"Eskimo Dog": "43",
|
181 |
+
"Flat Coated Retriever": "44",
|
182 |
+
"French Bulldog": "45",
|
183 |
+
"German Shepherd": "46",
|
184 |
+
"German Short Haired Pointer": "47",
|
185 |
+
"Giant Schnauzer": "48",
|
186 |
+
"Golden Retriever": "49",
|
187 |
+
"Gordon Setter": "50",
|
188 |
+
"Great Dane": "51",
|
189 |
+
"Great Pyrenees": "52",
|
190 |
+
"Greater Swiss Mountain Dog": "53",
|
191 |
+
"Groenendael": "54",
|
192 |
+
"Ibizan Hound": "55",
|
193 |
+
"Irish Setter": "56",
|
194 |
+
"Irish Terrier": "57",
|
195 |
+
"Irish Water Spaniel": "58",
|
196 |
+
"Irish Wolfhound": "59",
|
197 |
+
"Italian Greyhound": "60",
|
198 |
+
"Japanese Spaniel": "61",
|
199 |
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"Keeshond": "62",
|
200 |
+
"Kelpie": "63",
|
201 |
+
"Kerry Blue Terrier": "64",
|
202 |
+
"Komondor": "65",
|
203 |
+
"Kuvasz": "66",
|
204 |
+
"Labrador Retriever": "67",
|
205 |
+
"Lakeland Terrier": "68",
|
206 |
+
"Leonberg": "69",
|
207 |
+
"Lhasa": "70",
|
208 |
+
"Malamute": "71",
|
209 |
+
"Malinois": "72",
|
210 |
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"Maltese Dog": "73",
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211 |
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"Mexican Hairless": "74",
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212 |
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"Miniature Pinscher": "75",
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213 |
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"Miniature Poodle": "76",
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214 |
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"Miniature Schnauzer": "77",
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215 |
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"Newfoundland": "78",
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216 |
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"Norfolk Terrier": "79",
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217 |
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"Norwegian Elkhound": "80",
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218 |
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"Norwich Terrier": "81",
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219 |
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"Old English Sheepdog": "82",
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220 |
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"Otterhound": "83",
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221 |
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"Papillon": "84",
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222 |
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"Pekinese": "85",
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223 |
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"Pembroke": "86",
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224 |
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"Pomeranian": "87",
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225 |
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"Pug": "88",
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226 |
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"Redbone": "89",
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227 |
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"Rhodesian Ridgeback": "90",
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228 |
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"Rottweiler": "91",
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229 |
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"Saint Bernard": "92",
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230 |
+
"Saluki": "93",
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231 |
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"Samoyed": "94",
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232 |
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"Schipperke": "95",
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233 |
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"Scotch Terrier": "96",
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234 |
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"Scottish Deerhound": "97",
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235 |
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"Sealyham Terrier": "98",
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236 |
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"Shetland Sheepdog": "99",
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237 |
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"Shih Tzu": "100",
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238 |
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"Siberian Husky": "101",
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239 |
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"Silky Terrier": "102",
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240 |
+
"Soft Coated Wheaten Terrier": "103",
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241 |
+
"Staffordshire Bullterrier": "104",
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242 |
+
"Standard Poodle": "105",
|
243 |
+
"Standard Schnauzer": "106",
|
244 |
+
"Sussex Spaniel": "107",
|
245 |
+
"Tibetan Mastiff": "108",
|
246 |
+
"Tibetan Terrier": "109",
|
247 |
+
"Toy Poodle": "110",
|
248 |
+
"Toy Terrier": "111",
|
249 |
+
"Vizsla": "112",
|
250 |
+
"Walker Hound": "113",
|
251 |
+
"Weimaraner": "114",
|
252 |
+
"Welsh Springer Spaniel": "115",
|
253 |
+
"West Highland White Terrier": "116",
|
254 |
+
"Whippet": "117",
|
255 |
+
"Wire Haired Fox Terrier": "118",
|
256 |
+
"Yorkshire Terrier": "119"
|
257 |
+
},
|
258 |
+
"layer_norm_eps": 1e-12,
|
259 |
+
"model_type": "vit",
|
260 |
+
"num_attention_heads": 16,
|
261 |
+
"num_channels": 3,
|
262 |
+
"num_hidden_layers": 24,
|
263 |
+
"patch_size": 16,
|
264 |
+
"problem_type": "single_label_classification",
|
265 |
+
"qkv_bias": true,
|
266 |
+
"torch_dtype": "float32",
|
267 |
+
"transformers_version": "4.42.4"
|
268 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:953321d2b3e823b757e8eb224b3e74ab91d43200e1ef37c8840d2b74b04e8478
|
3 |
+
size 1213745080
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
runs/Aug27_16-05-42_3fc5c0c825cb/events.out.tfevents.1724774744.3fc5c0c825cb.376.0
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:dc70a81217f0b5b2b510b40eaee440608efb9035eb6f3c3ca827e6d1c66bfac4
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size 12780
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runs/Aug27_16-07-53_3fc5c0c825cb/events.out.tfevents.1724774873.3fc5c0c825cb.376.1
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:a281f2c4d89a2ee3c1f2b88578d054aecfb85ad86204dbdc6c25e0a219e9814a
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size 43687
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
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|
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|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:1c0bccfce4798e0778a0578a369b3324d03e0e54e632180d75164826db44ae85
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size 5112
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