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mobilevitv2_fold_5

Image Classification
Transformers
PyTorch
mobilevitv2
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mobilevitv2_fold_5
File size: 1,084 Bytes 
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{
  "_name_or_path": "apple/mobilevitv2-1.0-imagenet1k-256",
  "architectures": [
    "MobileViTV2ForImageClassification"
  ],
  "aspp_dropout_prob": 0.1,
  "aspp_out_channels": 512,
  "atrous_rates": [
    6,
    12,
    18
  ],
  "attn_dropout": 0.0,
  "base_attn_unit_dims": [
    128,
    192,
    256
  ],
  "classifier_dropout_prob": 0.1,
  "conv_kernel_size": 3,
  "expand_ratio": 2.0,
  "ffn_dropout": 0.0,
  "ffn_multiplier": 2,
  "hidden_act": "swish",
  "id2label": {
    "0": "fresh",
    "1": "most_fresh",
    "2": "not_fresh",
    "3": "spoiled"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "fresh": "0",
    "most_fresh": "1",
    "not_fresh": "2",
    "spoiled": "3"
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 2.0,
  "model_type": "mobilevitv2",
  "n_attn_blocks": [
    2,
    4,
    3
  ],
  "num_channels": 3,
  "output_stride": 32,
  "patch_size": 2,
  "problem_type": "single_label_classification",
  "semantic_loss_ignore_index": 255,
  "torch_dtype": "float32",
  "transformers_version": "4.34.1",
  "width_multiplier": 1.0
}