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Update config.json

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  1. config.json +55 -0
config.json ADDED
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+ {
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+ "architectures": [
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+ "AlbertForQuestionAnswering"
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+ ],
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+ "attention_probs_dropout_prob": 0,
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+ "bos_token_id": null,
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+ "classifier_dropout_prob": 0.1,
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+ "do_sample": false,
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+ "down_scale_factor": 1,
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+ "embedding_size": 128,
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+ "eos_token_ids": null,
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+ "finetuning_task": null,
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+ "gap_size": 0,
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+ "hidden_act": "gelu_new",
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+ "hidden_dropout_prob": 0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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+ "initializer_range": 0.02,
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+ "inner_group_num": 1,
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+ "intermediate_size": 3072,
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+ "is_decoder": false,
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+ "label2id": {
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+ "LABEL_0": 0,
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+ "LABEL_1": 1
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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": "albert",
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+ "net_structure_type": 0,
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+ "num_attention_heads": 12,
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+ "num_beams": 1,
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+ "num_hidden_groups": 1,
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+ "num_hidden_layers": 12,
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+ "num_labels": 2,
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+ "num_memory_blocks": 0,
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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": null,
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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": 30000
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+ }