resnet_weather_model / config.json
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Training in progress, epoch 1
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{
"_name_or_path": "/content/gdrive/MyDrive/resnet-50",
"architectures": [
"ResNetForImageClassification"
],
"depths": [
3,
4,
6,
3
],
"downsample_in_first_stage": false,
"embedding_size": 64,
"hidden_act": "relu",
"hidden_sizes": [
256,
512,
1024,
2048
],
"id2label": {
"0": "dew",
"1": "fogsmog",
"2": "frost",
"3": "glaze",
"4": "hail",
"5": "lightening",
"6": "lightning",
"7": "rain",
"8": "rainbow",
"9": "rime",
"10": "sandstorm",
"11": "snow"
},
"label2id": {
"dew": 0,
"fogsmog": 1,
"frost": 2,
"glaze": 3,
"hail": 4,
"lightening": 5,
"lightning": 6,
"rain": 7,
"rainbow": 8,
"rime": 9,
"sandstorm": 10,
"snow": 11
},
"layer_type": "bottleneck",
"model_type": "resnet",
"num_channels": 3,
"out_features": null,
"output_hidden_states": true,
"problem_type": "single_label_classification",
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.25.1"
}