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TirathP
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finetuned_model

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Model card Files
xet
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finetuned_model
File size: 1,153 Bytes
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{
  "_name_or_path": "google/vit-base-patch16-224",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "aeroplane",
    "1": "boat",
    "10": "stairs",
    "11": "tree",
    "12": "water",
    "2": "children",
    "3": "dogs",
    "4": "fireman",
    "5": "firetruck",
    "6": "mountains",
    "7": "people",
    "8": "river",
    "9": "snow"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "aeroplane": "0",
    "boat": "1",
    "children": "2",
    "dogs": "3",
    "fireman": "4",
    "firetruck": "5",
    "mountains": "6",
    "people": "7",
    "river": "8",
    "snow": "9",
    "stairs": "10",
    "tree": "11",
    "water": "12"
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.33.1"
}