ner-coin / config.json
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{
"_name_or_path": "microsoft/Multilingual-MiniLM-L12-H384",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"finetuning_task": "ner",
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "B-COIN",
"1": "O",
"2": "I-COIN"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"B-COIN": 0,
"I-COIN": 2,
"O": 1
},
"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",
"tokenizer_class": "XLMRobertaTokenizer",
"torch_dtype": "float32",
"transformers_version": "4.40.2",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 250037
}