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Saving best model to hub
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{
"_name_or_path": "WinKawaks/vit-small-patch16-224",
"architectures": [
"ViTForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"encoder_stride": 16,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 384,
"id2label": {
"0": "ADVE",
"1": "Email",
"2": "Form",
"3": "Letter",
"4": "Memo",
"5": "News",
"6": "Note",
"7": "Report",
"8": "Resume",
"9": "Scientific"
},
"image_size": 224,
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"ADVE": 0,
"Email": 1,
"Form": 2,
"Letter": 3,
"Memo": 4,
"News": 5,
"Note": 6,
"Report": 7,
"Resume": 8,
"Scientific": 9
},
"layer_norm_eps": 1e-12,
"model_type": "vit",
"num_attention_heads": 6,
"num_channels": 3,
"num_hidden_layers": 12,
"patch_size": 16,
"problem_type": "single_label_classification",
"qkv_bias": true,
"torch_dtype": "float32",
"transformers_version": "4.36.0.dev0"
}