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{
"_name_or_path": "AutoTrain",
"architectures": [
"SwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
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2,
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],
"drop_path_rate": 0.1,
"embed_dim": 128,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"id2label": {
"0": "1930s",
"1": "1940s",
"2": "1950s",
"3": "1960s",
"4": "1970s"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"1930s": "0",
"1940s": "1",
"1950s": "2",
"1960s": "3",
"1970s": "4"
},
"layer_norm_eps": 1e-05,
"max_length": 128,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_channels": 3,
"num_heads": [
4,
8,
16,
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],
"num_layers": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"padding": "max_length",
"patch_size": 4,
"path_norm": true,
"problem_type": "single_label_classification",
"qkv_bias": true,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.28.1",
"use_absolute_embeddings": false,
"window_size": 7
}
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