ScandiBERT-NER / config.json
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{
"_name_or_path": "vesteinn/ScandiBERT",
"architectures": [
"XLMRobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-Date",
"2": "B-Location",
"3": "B-Miscellaneous",
"4": "B-Money",
"5": "B-Organization",
"6": "B-Percent",
"7": "B-Person",
"8": "B-Time",
"9": "I-Date",
"10": "I-Location",
"11": "I-Miscellaneous",
"12": "I-Money",
"13": "I-Organization",
"14": "I-Percent",
"15": "I-Person",
"16": "I-Time"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"LABEL_0": 0,
"LABEL_1": 1,
"LABEL_10": 10,
"LABEL_11": 11,
"LABEL_12": 12,
"LABEL_13": 13,
"LABEL_14": 14,
"LABEL_15": 15,
"LABEL_16": 16,
"LABEL_2": 2,
"LABEL_3": 3,
"LABEL_4": 4,
"LABEL_5": 5,
"LABEL_6": 6,
"LABEL_7": 7,
"LABEL_8": 8,
"LABEL_9": 9
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.15.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50005
}