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mobilevit-xx-small-finetuned-eurosat

Image Classification
Transformers
PyTorch
mobilevit
Generated from Trainer
Eval Results
Inference Endpoints
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mobilevit-xx-small-finetuned-eurosat
File size: 1,386 Bytes 
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{
  "_name_or_path": "apple/mobilevit-xx-small",
  "architectures": [
    "MobileViTForImageClassification"
  ],
  "aspp_dropout_prob": 0.1,
  "aspp_out_channels": 256,
  "atrous_rates": [
    6,
    12,
    18
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "conv_kernel_size": 3,
  "expand_ratio": 2.0,
  "hidden_act": "silu",
  "hidden_dropout_prob": 0.05,
  "hidden_sizes": [
    64,
    80,
    96
  ],
  "id2label": {
    "0": "AnnualCrop",
    "1": "Forest",
    "2": "HerbaceousVegetation",
    "3": "Highway",
    "4": "Industrial",
    "5": "Pasture",
    "6": "PermanentCrop",
    "7": "Residential",
    "8": "River",
    "9": "SeaLake"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "AnnualCrop": 0,
    "Forest": 1,
    "HerbaceousVegetation": 2,
    "Highway": 3,
    "Industrial": 4,
    "Pasture": 5,
    "PermanentCrop": 6,
    "Residential": 7,
    "River": 8,
    "SeaLake": 9
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 2.0,
  "model_type": "mobilevit",
  "neck_hidden_sizes": [
    16,
    16,
    24,
    48,
    64,
    80,
    320
  ],
  "num_attention_heads": 4,
  "num_channels": 3,
  "output_stride": 32,
  "patch_size": 2,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "semantic_loss_ignore_index": 255,
  "torch_dtype": "float32",
  "transformers_version": "4.31.0"
}