my_awesome_model / config.json
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{
"_name_or_path": "bert-base-german-cased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Web",
"1": "Panorama",
"2": "International",
"3": "Wirtschaft",
"4": "Sport",
"5": "Inland",
"6": "Etat",
"7": "Wissenschaft",
"8": "Kultur"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Etat": "6",
"Inland": "5",
"International": "2",
"Kultur": "8",
"Panorama": "1",
"Sport": "4",
"Web": "0",
"Wirtschaft": "3",
"Wissenschaft": "7"
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.26.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30000
}