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image_classification

Image Classification
Transformers
PyTorch
vit
Generated from Trainer
Eval Results
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image_classification
File size: 957 Bytes 
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{
  "_name_or_path": "google/vit-base-patch16-224-in21k",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "anger",
    "1": "contempt",
    "2": "disgust",
    "3": "fear",
    "4": "happy",
    "5": "neutral",
    "6": "sad",
    "7": "surprise"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "anger": "0",
    "contempt": "1",
    "disgust": "2",
    "fear": "3",
    "happy": "4",
    "neutral": "5",
    "sad": "6",
    "surprise": "7"
  },
  "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": "4.33.2"
}