NER_MobileBert / config.json
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{
"_name_or_path": "SKNahin/NER_MobileBert",
"architectures": [
"MobileBertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_activation": false,
"classifier_dropout": null,
"embedding_size": 128,
"hidden_act": "relu",
"hidden_dropout_prob": 0.0,
"hidden_size": 512,
"id2label": {
"0": "O",
"1": "B-USERNAME",
"2": "B-EMAIL",
"3": "B-NAME_STUDENT",
"4": "I-NAME_STUDENT",
"5": "B-ID_NUM",
"6": "I-ID_NUM",
"7": "B-PHONE_NUM",
"8": "I-PHONE_NUM",
"9": "B-STREET_ADDRESS",
"10": "I-STREET_ADDRESS",
"11": "B-URL_PERSONAL",
"12": "I-URL_PERSONAL"
},
"initializer_range": 0.02,
"intermediate_size": 512,
"intra_bottleneck_size": 128,
"key_query_shared_bottleneck": true,
"label2id": {
"B-EMAIL": 2,
"B-ID_NUM": 5,
"B-NAME_STUDENT": 3,
"B-PHONE_NUM": 7,
"B-STREET_ADDRESS": 9,
"B-URL_PERSONAL": 11,
"B-USERNAME": 1,
"I-ID_NUM": 6,
"I-NAME_STUDENT": 4,
"I-PHONE_NUM": 8,
"I-STREET_ADDRESS": 10,
"I-URL_PERSONAL": 12,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "mobilebert",
"normalization_type": "no_norm",
"num_attention_heads": 4,
"num_feedforward_networks": 4,
"num_hidden_layers": 24,
"pad_token_id": 0,
"torch_dtype": "float32",
"transformers_version": "4.37.0",
"trigram_input": true,
"true_hidden_size": 128,
"type_vocab_size": 2,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 30522
}