ConvNeXtV2_Tiny_v4 / config.json
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Training complete: ConvNeXtV2 Tiny with 2.5x weighted recall bias
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{
"architectures": [
"ConvNextV2ForImageClassification"
],
"depths": [
3,
3,
9,
3
],
"drop_path_rate": 0.0,
"dtype": "float32",
"hidden_act": "gelu",
"hidden_sizes": [
96,
192,
384,
768
],
"id2label": {
"0": "0",
"1": "1"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"0": 0,
"1": 1
},
"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"
],
"transformers_version": "5.2.0",
"use_cache": false
}