Checkpoints2 / config.json
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Training in progress, epoch 1
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{
"_name_or_path": "google/efficientnet-b0",
"architectures": [
"EfficientNetForImageClassification"
],
"batch_norm_eps": 0.001,
"batch_norm_momentum": 0.99,
"depth_coefficient": 1.0,
"depth_divisor": 8,
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"drop_connect_rate": 0.2,
"dropout_rate": 0.2,
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],
"hidden_act": "swish",
"hidden_dim": 1280,
"id2label": {
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"1": "AL4",
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"5": "BB2",
"6": "BB3",
"7": "BB4",
"8": "BB5",
"9": "Bent",
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"11": "D_dirt",
"12": "Dirty",
"13": "GG",
"14": "H_015_31",
"15": "H_020_31",
"16": "H_025_31",
"17": "H_030_31",
"18": "H_035_31",
"19": "H_040_31",
"20": "H_045_31",
"21": "H_050_31",
"22": "H_055_31",
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"79": "PC_Black",
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"81": "PC_Green",
"82": "RL10",
"83": "RL14",
"84": "RL18",
"85": "RS5",
"86": "RS7"
},
"image_size": 224,
"in_channels": [
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24,
40,
80,
112,
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],
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3,
5,
5,
3
],
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},
"model_type": "efficientnet",
"num_block_repeats": [
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2,
2,
3,
3,
4,
1
],
"num_channels": 3,
"num_hidden_layers": 64,
"out_channels": [
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112,
192,
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],
"out_features": null,
"pooling_type": "mean",
"problem_type": "multi_label_classification",
"squeeze_expansion_ratio": 0.25,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4",
"stage5",
"stage6",
"stage7"
],
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2,
1,
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1
],
"torch_dtype": "float32",
"transformers_version": "4.35.2",
"width_coefficient": 1.0
}