bert-base-NER / config.json
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{
"_num_labels": 9,
"architectures": [
"BertForTokenClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 768,
"id2label": {
"0": "O",
"1": "B-MISC",
"2": "I-MISC",
"3": "B-PER",
"4": "I-PER",
"5": "B-ORG",
"6": "I-ORG",
"7": "B-LOC",
"8": "I-LOC"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
"B-LOC": 7,
"B-MISC": 1,
"B-ORG": 5,
"B-PER": 3,
"I-LOC": 8,
"I-MISC": 2,
"I-ORG": 6,
"I-PER": 4,
"O": 0
},
"layer_norm_eps": 1e-12,
"max_position_embeddings": 512,
"model_type": "bert",
"num_attention_heads": 12,
"num_hidden_layers": 12,
"output_past": true,
"pad_token_id": 0,
"position_embedding_type": "absolute",
"rknn": {
"model.rknn": {
"batch_size": 1,
"custom_string": null,
"dynamic_input": null,
"float_dtype": "float16",
"inputs_yuv_fmt": null,
"max_seq_length": 512,
"mean_values": null,
"model_input_names": [
"input_ids",
"attention_mask",
"token_type_ids"
],
"opset": 19,
"optimization": {
"compress_weight": false,
"enable_flash_attention": true,
"model_pruning": false,
"optimization_level": 0,
"remove_reshape": false,
"remove_weight": false,
"sparse_infer": false
},
"quantization": {
"auto_hybrid_cos_thresh": 0.98,
"auto_hybrid_euc_thresh": null,
"dataset_columns": null,
"dataset_name": null,
"dataset_size": 128,
"dataset_split": null,
"dataset_subset": null,
"do_quantization": false,
"quant_img_RGB2BGR": false,
"quantized_algorithm": "normal",
"quantized_dtype": "w8a8",
"quantized_hybrid_level": 0,
"quantized_method": "channel"
},
"rktransformers_version": "0.3.0",
"single_core_mode": false,
"std_values": null,
"target_platform": "rk3588",
"task": "token-classification",
"task_kwargs": null
}
},
"torch_dtype": "float32",
"transformers_version": "4.55.4",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 28996
}