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  1. config.json +161 -0
  2. pytorch_model.bin +3 -0
config.json ADDED
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+ {
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+ "architectures": [
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+ "EncoderDecoderModel"
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+ ],
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+ "decoder": {
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+ "_name_or_path": "klue/bert-base",
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+ "add_cross_attention": true,
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+ "architectures": [
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+ "BertForMaskedLM"
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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": "LABEL_0",
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+ "1": "LABEL_1"
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+ },
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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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+ "min_length": 0,
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+ "model_type": "bert",
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+ "no_repeat_ngram_size": 0,
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+ "num_attention_heads": 12,
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+ "num_beam_groups": 1,
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+ "num_beams": 1,
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+ "num_hidden_layers": 12,
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+ "tie_encoder_decoder": false,
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+ "transformers_version": "4.12.0",
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+ "use_bfloat16": false,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ },
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+ "encoder": {
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+ "_name_or_path": "klue/bert-base",
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+ "add_cross_attention": false,
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+ "architectures": [
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+ "BertForMaskedLM"
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+ ],
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+ "id2label": {
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+ "1": "LABEL_1"
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+ },
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+ "length_penalty": 1.0,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_beam_groups": 1,
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+ "num_hidden_layers": 12,
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+ "temperature": 1.0,
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ },
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+ "is_encoder_decoder": true,
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+ "model_type": "encoder-decoder",
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+ "torch_dtype": "float32",
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+ "transformers_version": null
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+ }
pytorch_model.bin ADDED
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+ size 998758443