beit / config.json
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Training in progress, epoch 1
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{
"_name_or_path": "microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft",
"architectures": [
"Swinv2ForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
18,
2
],
"drop_path_rate": 0.1,
"embed_dim": 128,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"id2label": {
"0": "LABEL_0"
},
"image_size": 256,
"initializer_range": 0.02,
"label2id": {
"LABEL_0": 0
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swinv2",
"num_channels": 3,
"num_heads": [
4,
8,
16,
32
],
"num_layers": 4,
"patch_size": 4,
"path_norm": true,
"pretrained_window_sizes": [
0,
0,
0,
0
],
"problem_type": "multi_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.26.0",
"use_absolute_embeddings": false,
"window_size": 16
}