req_mod_ner_modelv2 / config.json
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Training in progress, epoch 1
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{
"_name_or_path": "pdelobelle/robbert-v2-dutch-ner",
"_num_labels": 9,
"architectures": [
"RobertaForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-Actor",
"2": "I-Actor",
"3": "B-COTS",
"4": "I-COTS",
"5": "B-Function",
"6": "I-Function",
"7": "B-Result",
"8": "I-Result",
"9": "B-Entity",
"10": "I-Entity",
"11": "B-Attribute",
"12": "I-Attribute"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-Actor": 1,
"B-Attribute": 11,
"B-COTS": 3,
"B-Entity": 9,
"B-Function": 5,
"B-Result": 7,
"I-Actor": 2,
"I-Attribute": 12,
"I-COTS": 4,
"I-Entity": 10,
"I-Function": 6,
"I-Result": 8,
"O": 0
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "roberta",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.24.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 40000
}