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{
"_name_or_path": "mrm8488/mobilebert-finetuned-ner",
"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": "B-LOC",
"1": "B-MISC",
"2": "B-ORG",
"3": "I-LOC",
"4": "I-MISC",
"5": "I-ORG",
"6": "I-PER",
"7": "O"
},
"initializer_range": 0.02,
"intermediate_size": 512,
"intra_bottleneck_size": 128,
"key_query_shared_bottleneck": true,
"label2id": {
"B-LOC": 0,
"B-MISC": 1,
"B-ORG": 2,
"I-LOC": 3,
"I-MISC": 4,
"I-ORG": 5,
"I-PER": 6,
"O": 7
},
"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,
"transformers_version": "4.17.0",
"trigram_input": true,
"true_hidden_size": 128,
"type_vocab_size": 2,
"use_bottleneck": true,
"use_bottleneck_attention": false,
"vocab_size": 30522
}