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Update config.json
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{
"_name_or_path": "bert-base-cased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "Scalable Platforms",
"1": "Quality Engineering",
"10": "Digital eXperience Platforms",
"11": "Design",
"12": "Generic",
"13": "Gaming",
"14": "Digital Marketing",
"15": "others",
"16": "Process Optimization",
"17": "Business Hacking",
"2": "UI Engineering",
"3": "Agile Delivery",
"4": "Cloud Ops",
"5": "Data and AI",
"6": "Staff Generic",
"7": "Product Acceleration",
"8": "Salesforce",
"9": "Enterprise Apps"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"Agile Delivery": "3",
"Business Hacking": "17",
"Cloud Ops": "4",
"Data and AI": "5",
"Design": "11",
"Digital Marketing": "14",
"Digital eXperience Platforms": "10",
"Enterprise Apps": "9",
"Gaming": "13",
"Generic": "12",
"Process Optimization": "16",
"Product Acceleration": "7",
"Quality Engineering": "1",
"Salesforce": "8",
"Scalable Platforms": "0",
"Staff Generic": "6",
"UI Engineering": "2",
"others": "15"
},
"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": "4.19.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}