Update config.json
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{
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"architectures": [
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"BertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"do_sample": false,
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"eos_token_ids": 0,
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"finetuning_task": null,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "O",
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"1": "B-MISC",
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"2": "I-MISC",
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"3": "B-PER",
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"4": "I-PER",
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"5": "B-ORG",
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"6": "I-ORG",
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"7": "B-LOC",
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"8": "I-LOC"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"is_decoder": false,
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"label2id": {
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"B-LOC": 7,
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"B-MISC": 1,
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"B-ORG": 5,
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"B-PER": 3,
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"I-LOC": 8,
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"I-MISC": 2,
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"I-ORG": 6,
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"I-PER": 4,
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"O": 0
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},
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"layer_norm_eps": 1e-12,
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"length_penalty": 1.0,
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"max_length": 20,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_beams": 1,
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"num_hidden_layers": 12,
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"num_labels": 9,
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_past": true,
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"pad_token_id": 0,
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"pruned_heads": {},
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"repetition_penalty": 1.0,
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"temperature": 1.0,
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"top_k": 50,
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"top_p": 1.0,
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"torchscript": false,
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"type_vocab_size": 2,
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"use_bfloat16": false,
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"vocab_size": 28996
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}
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