Anomal / config.json
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{
"_name_or_path": "facebook/convnext-tiny-224",
"architectures": [
"ConvNextForImageClassification"
],
"depths": [
3,
3,
9,
3
],
"drop_path_rate": 0.0,
"hidden_act": "gelu",
"hidden_sizes": [
96,
192,
384,
768
],
"id2label": {
"0": "Couverture_de_reseau",
"1": "Devivrage",
"2": "Fin_de_vaccination",
"3": "Non_vaccin",
"4": "Ouverture_de_port",
"5": "Probleme_de_differencielle",
"6": "Probleme_de_sonde",
"7": "Problemedecompresseur",
"8": "Super_congelateur_Anomaly",
"9": "Temperature d'ambiance",
"10": "temperaturenormal"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"Couverture_de_reseau": 0,
"Devivrage": 1,
"Fin_de_vaccination": 2,
"Non_vaccin": 3,
"Ouverture_de_port": 4,
"Probleme_de_differencielle": 5,
"Probleme_de_sonde": 6,
"Problemedecompresseur": 7,
"Super_congelateur_Anomaly": 8,
"Temperature d'ambiance": 9,
"temperaturenormal": 10
},
"layer_norm_eps": 1e-12,
"layer_scale_init_value": 1e-06,
"model_type": "convnext",
"num_channels": 3,
"num_stages": 4,
"patch_size": 4,
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.22.1"
}