End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+model-index:
+- name: mutli_class_clasification
+  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. -->
+
+# mutli_class_clasification
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
+
+## 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: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.55.3
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.2

config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "german shorthaired",
+    "1": "basset hound",
+    "2": "yorkshire terrier",
+    "3": "great pyrenees",
+    "4": "leonberger",
+    "5": "Siamese",
+    "6": "scottish terrier",
+    "7": "Ragdoll",
+    "8": "english setter",
+    "9": "wheaten terrier",
+    "10": "Birman",
+    "11": "boxer",
+    "12": "Maine Coon",
+    "13": "miniature pinscher",
+    "14": "Abyssinian",
+    "15": "samoyed",
+    "16": "american pit bull terrier",
+    "17": "american bulldog",
+    "18": "Persian",
+    "19": "Bombay",
+    "20": "chihuahua",
+    "21": "Bengal",
+    "22": "saint bernard",
+    "23": "beagle",
+    "24": "staffordshire bull terrier",
+    "25": "english cocker spaniel",
+    "26": "Russian Blue",
+    "27": "japanese chin",
+    "28": "newfoundland",
+    "29": "pug",
+    "30": "shiba inu",
+    "31": "British Shorthair",
+    "32": "havanese",
+    "33": "Sphynx",
+    "34": "Egyptian Mau",
+    "35": "pomeranian",
+    "36": "keeshond"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Abyssinian": 14,
+    "Bengal": 21,
+    "Birman": 10,
+    "Bombay": 19,
+    "British Shorthair": 31,
+    "Egyptian Mau": 34,
+    "Maine Coon": 12,
+    "Persian": 18,
+    "Ragdoll": 7,
+    "Russian Blue": 26,
+    "Siamese": 5,
+    "Sphynx": 33,
+    "american bulldog": 17,
+    "american pit bull terrier": 16,
+    "basset hound": 1,
+    "beagle": 23,
+    "boxer": 11,
+    "chihuahua": 20,
+    "english cocker spaniel": 25,
+    "english setter": 8,
+    "german shorthaired": 0,
+    "great pyrenees": 3,
+    "havanese": 32,
+    "japanese chin": 27,
+    "keeshond": 36,
+    "leonberger": 4,
+    "miniature pinscher": 13,
+    "newfoundland": 28,
+    "pomeranian": 35,
+    "pug": 29,
+    "saint bernard": 22,
+    "samoyed": 15,
+    "scottish terrier": 6,
+    "shiba inu": 30,
+    "staffordshire bull terrier": 24,
+    "wheaten terrier": 9,
+    "yorkshire terrier": 2
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.55.3"
+}

model.safetensors

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training_args.bin

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