RUNorm-tagger / config.json
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{
"_name_or_path": "cointegrated/rubert-tiny",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"emb_size": 312,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 312,
"id2label": {
"0": "PLAIN",
"1": "VERBATIM",
"2": "CARDINAL",
"3": "TIME",
"4": "FRACTION",
"5": "LETTERS",
"6": "DIGIT",
"7": "MONEY",
"8": "TELEPHONE",
"9": "ORDINAL",
"10": "ELECTRONIC",
"11": "DECIMAL",
"12": "MEASURE",
"13": "DATE",
"14": "ABBREVIATION",
"15": "ADRESS"
},
"initializer_range": 0.02,
"intermediate_size": 600,
"label2id": {
"ABBREVIATION": 14,
"ADRESS": 15,
"CARDINAL": 2,
"DATE": 13,
"DECIMAL": 11,
"DIGIT": 6,
"ELECTRONIC": 10,
"FRACTION": 4,
"LETTERS": 5,
"MEASURE": 12,
"MONEY": 7,
"ORDINAL": 9,
"PLAIN": 0,
"TELEPHONE": 8,
"TIME": 3,
"VERBATIM": 1
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 3,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.28.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 29564
}