innox-bert / config.json
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{
"_name_or_path": "bert-large-uncased",
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"gradient_checkpointing": false,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": 'B-INNOVATION',
"1": 'B-MATERIAL',
"2": 'B-UTILIZATION',
"3": 'E-INNOVATION',
"4": 'E-MATERIAL',
"5": 'E-UTILIZATION',
"6": 'I-INNOVATION',
"7": 'I-MATERIAL',
"8": 'I-UTILIZATION',
"9": 'O',
"10": 'S-INNOVATION',
"11": 'S-MATERIAL',
"12": 'S-UTILIZATION'
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
'B-INNOVATION': 0,
'B-MATERIAL': 1,
'B-UTILIZATION': 2,
'E-INNOVATION': 3,
'E-MATERIAL': 4,
'E-UTILIZATION': 5,
'I-INNOVATION': 6,
'I-MATERIAL': 7,
'I-UTILIZATION': 8,
'O': 9,
'S-INNOVATION': 10,
'S-MATERIAL': 11,
'S-UTILIZATION': 12
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.25.1",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}