IceBERT-ner / config.json
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{
"_name_or_path": "vesteinn/IceBERT",
"architectures": [
"RobertaForTokenClassification"
],
"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": {
"O": 0,
"B-Date": 1,
"B-Location": 2,
"B-Miscellaneous": 3,
"B-Money": 4,
"B-Organization": 5,
"B-Percent": 6,
"B-Person": 7,
"B-Time": 8,
"I-Date": 9,
"I-Location": 10,
"I-Miscellaneous": 11,
"I-Money": 12,
"I-Organization": 13,
"I-Percent": 14,
"I-Person": 15,
"I-Time": 16
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.11.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 50000
}