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convnext-tiny-finetuned

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convnext-tiny-finetuned
File size: 1,389 Bytes
26041ab
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "architectures": [
    "ConvNextForImageClassification"
  ],
  "depths": [
    3,
    3,
    9,
    3
  ],
  "drop_path_rate": 0.0,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_sizes": [
    96,
    192,
    384,
    768
  ],
  "id2label": {
    "0": "2357",
    "1": "2412b",
    "2": "2420",
    "3": "3001",
    "4": "3002",
    "5": "3003",
    "6": "3004",
    "7": "3005",
    "8": "3010",
    "9": "3020",
    "10": "3021",
    "11": "3022",
    "12": "3023",
    "13": "3024",
    "14": "3039",
    "15": "3622",
    "16": "3623",
    "17": "3710",
    "18": "4073",
    "19": "54200"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "2357": 0,
    "2412b": 1,
    "2420": 2,
    "3001": 3,
    "3002": 4,
    "3003": 5,
    "3004": 6,
    "3005": 7,
    "3010": 8,
    "3020": 9,
    "3021": 10,
    "3022": 11,
    "3023": 12,
    "3024": 13,
    "3039": 14,
    "3622": 15,
    "3623": 16,
    "3710": 17,
    "4073": 18,
    "54200": 19
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 1e-06,
  "model_type": "convnext",
  "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"
  ],
  "transformers_version": "5.12.1"
}