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Kushagra07
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autotrain-swinv2-base-patch4-window8-256

Image Classification
Transformers
TensorBoard
Safetensors
swinv2
Trained with AutoTrain
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autotrain-swinv2-base-patch4-window8-256
File size: 2,003 Bytes 
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{
  "_name_or_path": "microsoft/swinv2-base-patch4-window8-256",
  "_num_labels": 17,
  "architectures": [
    "Swinv2ForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    18,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 128,
  "encoder_stride": 32,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "AadhaarBack",
    "1": "AadhaarBackMasked",
    "2": "AadhaarFront",
    "3": "AadhaarFrontMasked",
    "4": "AadhaarRegular",
    "5": "AadhaarRegularMasked",
    "6": "AadhaarSelfGenerated",
    "7": "DrivingLicenseNew",
    "8": "DrivingLicenseOld",
    "9": "MultipleOVDs",
    "10": "PanCard",
    "11": "PassportFirst",
    "12": "PassportLast",
    "13": "PassportRegular",
    "14": "VoterCardBack",
    "15": "VoterCardFront",
    "16": "VoterCardRegular"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "AadhaarBack": 0,
    "AadhaarBackMasked": 1,
    "AadhaarFront": 2,
    "AadhaarFrontMasked": 3,
    "AadhaarRegular": 4,
    "AadhaarRegularMasked": 5,
    "AadhaarSelfGenerated": 6,
    "DrivingLicenseNew": 7,
    "DrivingLicenseOld": 8,
    "MultipleOVDs": 9,
    "PanCard": 10,
    "PassportFirst": 11,
    "PassportLast": 12,
    "PassportRegular": 13,
    "VoterCardBack": 14,
    "VoterCardFront": 15,
    "VoterCardRegular": 16
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swinv2",
  "num_channels": 3,
  "num_heads": [
    4,
    8,
    16,
    32
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "path_norm": true,
  "pretrained_window_sizes": [
    0,
    0,
    0,
    0
  ],
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.40.1",
  "use_absolute_embeddings": false,
  "window_size": 8
}