resnet50-finetuned-14 / config.json
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{
"_name_or_path": "test",
"depths": [
3,
4,
6,
3
],
"num_labels": 5,
"id2label": {
"0": "Brick",
"1": "Metal",
"2": "Paper",
"3": "Plastic",
"4": "Wood"
},
"label2id": {
"Brick": 0,
"Metal": 1,
"Paper": 2,
"Plastic": 3,
"Wood": 4
},
"downsample_in_bottleneck": false,
"downsample_in_first_stage": false,
"embedding_size": 64,
"freeze": true,
"hidden_act": "relu",
"hidden_sizes": [
256,
512,
1024,
2048
],
"layer_type": "bottleneck",
"model_type": "resnet",
"num_channels": 3,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"outputs": 5,
"pretrained": true,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"transformers_version": "4.42.4"
}