bert-800abstracts / config.json
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bert-800abstracts
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{
"_name_or_path": "bert-base-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": 768,
"id2label": {
"0": "B-APL",
"1": "B-CMT",
"2": "B-DSC",
"3": "B-MAT",
"4": "B-PRO",
"5": "B-SMT",
"6": "B-SPL",
"7": "I-APL",
"8": "I-CMT",
"9": "I-DSC",
"10": "I-MAT",
"11": "I-PRO",
"12": "I-SMT",
"13": "I-SPL",
"14": "O"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-APL": 0,
"B-CMT": 1,
"B-DSC": 2,
"B-MAT": 3,
"B-PRO": 4,
"B-SMT": 5,
"B-SPL": 6,
"I-APL": 7,
"I-CMT": 8,
"I-DSC": 9,
"I-MAT": 10,
"I-PRO": 11,
"I-SMT": 12,
"I-SPL": 13,
"O": 14
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"torch_dtype": "float32",
"transformers_version": "4.42.4",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}