Products_NER7 / config.json
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{
"_name_or_path": "dslim/bert-base-NER",
"_num_labels": 9,
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "B-Product",
"1": "I-Product",
"2": "B-Trademark",
"3": "I-Trademark",
"4": "B-Country",
"5": "I-Country",
"6": "B-HSCode",
"7": "I-HSCode",
"8": "B-HSCodeEn",
"9": "I-HSCodeEn",
"10": "B-Manufacturer",
"11": "I-Manufacturer",
"12": "B-ModelNo",
"13": "I-ModelNo"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-Country": 4,
"B-HSCode": 6,
"B-HSCodeEn": 8,
"B-Manufacturer": 10,
"B-ModelNo": 12,
"B-Product": 0,
"B-Trademark": 2,
"I-Country": 5,
"I-HSCode": 7,
"I-HSCodeEn": 9,
"I-Manufacturer": 11,
"I-ModelNo": 13,
"I-Product": 1,
"I-Trademark": 3
},
"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,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.33.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}