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End of training
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{
"architectures": [
"DeiTForImageClassification"
],
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"hidden_act": "gelu",
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"id2label": {
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"1": 1
},
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"label2id": {
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"1": "1"
},
"layer_norm_eps": 1e-12,
"model_type": "deit",
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"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"pooler_act": "tanh",
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"problem_type": "single_label_classification",
"qkv_bias": true,
"transformers_version": "4.57.1"
}