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10-finetuned-ausSpiders

PyTorch
convnextv2
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10-finetuned-ausSpiders
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{
  "_name_or_path": "zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000",
  "architectures": [
    "ConvNextV2ForImageClassification"
  ],
  "depths": [
    3,
    3,
    27,
    3
  ],
  "drop_path_rate": 0.0,
  "hidden_act": "gelu",
  "hidden_sizes": [
    128,
    256,
    512,
    1024
  ],
  "id2label": {
    "0": "Argiope_argentata",
    "1": "Argiope_keyserlingi",
    "2": "Atrax_robustus",
    "3": "Delena_cancerides",
    "4": "Lampona_cylindrata",
    "5": "Latrodectus_hasselti",
    "6": "Missulena_occatoria",
    "7": "Pholcus_phalangioides",
    "8": "Selenocosmia_crassipes"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Argiope_argentata": 0,
    "Argiope_keyserlingi": 1,
    "Atrax_robustus": 2,
    "Delena_cancerides": 3,
    "Lampona_cylindrata": 4,
    "Latrodectus_hasselti": 5,
    "Missulena_occatoria": 6,
    "Pholcus_phalangioides": 7,
    "Selenocosmia_crassipes": 8
  },
  "layer_norm_eps": 1e-12,
  "model_type": "convnextv2",
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.33.3"
}