{
  "_name_or_path": "results",
  "activation_choice": "ReLU",
  "architectures": [
    "PretrainedWraper"
  ],
  "auto_map": {
    "AutoModel": "configuration_custom_convnext.CustomConvNextConfig",
    "AutoModelForImageClassification": "modeling_custom_convext.PretrainedWraper"
  },
  "convnext_mult": 1,
  "device": "mps",
  "dropout": 0,
  "image_size": 224,
  "input_channels": 3,
  "layer_norm": true,
  "model_type": "custom_convnext",
  "num_classes": 3,
  "pooling_choice": "MaxPool2d",
  "torch_dtype": "float32",
  "transformers_version": "4.34.0.dev0"
}