env-bert-cls-chinese / config.json
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{
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "环境影响评价与管理",
"1": "碳排放控制",
"2": "水污染与控制",
"3": "大气污染与控制",
"4": "土壤污染与控制",
"5": "环境生态",
"6": "固体废物",
"7": "环境毒理与健康",
"8": "环境微生物",
"9": "环境政策与经济"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"环境影响评价与管理": 0,
"碳排放控制": 1,
"水污染与控制": 2,
"大气污染与控制": 3,
"土壤污染与控制": 4,
"环境生态": 5,
"固体废物": 6,
"环境毒理与健康": 7,
"环境微生物": 8,
"环境政策与经济": 9
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 0,
"pooler_fc_size": 768,
"pooler_num_attention_heads": 12,
"pooler_num_fc_layers": 3,
"pooler_size_per_head": 128,
"pooler_type": "first_token_transform",
"position_embedding_type": "absolute",
"problem_type": "single_label_classification",
"torch_dtype": "float32",
"transformers_version": "4.11.3",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 21131
}