hirly-ner-multi / config.json
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{
"architectures": [
"XLMRobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"dtype": "float32",
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-CERT",
"2": "I-CERT",
"3": "B-EXPERIENCE_DURATION",
"4": "I-EXPERIENCE_DURATION",
"5": "B-LANG",
"6": "I-LANG",
"7": "B-SKILL",
"8": "I-SKILL",
"9": "B-SOFT_SKILL",
"10": "I-SOFT_SKILL"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-CERT": 1,
"B-EXPERIENCE_DURATION": 3,
"B-LANG": 5,
"B-SKILL": 7,
"B-SOFT_SKILL": 9,
"I-CERT": 2,
"I-EXPERIENCE_DURATION": 4,
"I-LANG": 6,
"I-SKILL": 8,
"I-SOFT_SKILL": 10,
"O": 0
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"transformers_version": "4.57.1",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}