ViT_classifier / config.json
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{
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"dtype": "float32",
"encoder_stride": 4,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 512,
"id2label": {
"0": "no_fall",
"1": "fall"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 64,
"label2id": {
"fall": 1,
"no_fall": 0
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 8,
"num_channels": 3,
"num_hidden_layers": 2,
"patch_size": 16,
"pooler_act": "tanh",
"pooler_output_size": 512,
"problem_type": "single_label_classification",
"qkv_bias": true,
"transformers_version": "4.57.6",
"use_cache": false
}