question encoder model finetuned by KLUE MRC
Browse files- config.json +31 -0
- pytorch_model.bin +3 -0
config.json
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{
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"_name_or_path": "/opt/ml/models/DPR_with_difficult/q_encoder_1_9_1",
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"architectures": [
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"BertEncoder"
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],
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"attention_probs_dropout_prob": 0.1,
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"directionality": "bidi",
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"embedding_size": 768,
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"gradient_checkpointing": false,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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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_hidden_layers": 12,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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"transformers_version": "4.5.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 42000
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:5154d7a0e19dad6c0f1a18f4000a7b65c09a0b27d59b0a70ed7979d6cf0ca4f3
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size 473278007
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